{ "count" : 33880, "data" : [ { "id" : "6a305abbf292fd229cf54e84", "title" : "Senior HR Analytics & Automation Manager", "company" : "flaconi", "industry" : "E-Commerce", "salary" : { "min" : 61800.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-16T05:18:48.109", "fingerprint" : "d46d7c2b782b4ea1157afdeae5adeed0e5bc1a8b8cf9ebc8c4da80b9457c875f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/flaconi/jobs/4871187101?gh_jid=4871187101", "externalId" : "4871187101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "At flaconi, we believe that diversity fuels creativity, innovation and growth. It thrives in all its forms of beauty. Our team is a mosaic of individuals from different backgrounds, cultures and life journeys, all united by a shared passion for beauty. Our commitment is grounded in our core values, particularly #trustinpeople. We hold ourselves accountable for creating an environment where every employee feels honestly valued, heard and empowered to contribute their unique perspectives to foster belonging. flaconi is an equal opportunity employer and welcomes and encourages all qualified candidates from all backgrounds and identities, regardless of ethnicity, race, gender identity, migration background, national origin, disability status, sexual orientation, religion, or age to apply. If you require specific support during the application or interview process – e. g. live captions, more time for the interview or the task in a different format – just let us know so that we can adapt the process accordingly. We will do our best to make this possible. We are looking for a Senior HR Analytics & Automation Manager (all genders) to join our high-impact team. This is a unique, tech-forward hybrid role where data intelligence meets operational innovation. If you love the thrill of building automated workflows, experimenting with AI to make processes smarter, and turning complex data into strategic insights—all while keeping an analytical grip on our Compensation & Benefits landscape—this is your playground. Your Role Take ownership of standard HR reporting and actively drive the continuous development of intuitive reports and key KPI dashboards. Establish and expand an automated, sophisticated self-service reporting landscape to empower our teams with purposeful, on-demand data insights. Lead forward-thinking automation and innovation projects as an internal advocate, using tools like Make and initial AI applications to make internal processes smarter and more efficient. Manage strategic Compensation & Benefits topics, including the seamless execution of our annual salary review process. Maintain and develop equitable salary bands while conducting vital bias checks to ensure fairness across our team structures. Oversee monthly personnel costs, taking responsibility for budgeting, forecasting, and acting as the central interface to our Corporate Controlling team. Spearhead and support operational and strategic special projects in close collaboration with HR Business Partners and Operations (e.g., time tracking optimization, on-call models). Your Profile Bring proven experience building automated workflows and connecting systems, ideally using tools like Make or similar automation platforms. Demonstrate a strong track record in data analytics, with deep experience to build interactive dashboards, optimize data flows, and track core business KPIs. Experience in implementing AI applications (such as Gemini) to optimize and automate daily processes. Possess several years of experience as an HR Analyst, Business Analyst, Data Analyst, or in a similar highly quantitative, data-driven role. Communicate effectively with the unique ability to translate complex data sets into clear, actionable insights for both operational teams and finance units. Apply a highly structured, solution-oriented approach with the independence to own projects from concept to execution. Speak and write fluently in English. Nice-To-Haves Bring professional fluency in German to easily collaborate with local stakeholders and navigate local frameworks. Show prior experience tracking HR KPIs Familiarity with HRIS environments. What We Offer Our employees matter to us: We offer you a permanent contract and cover the costs for your BVG or Deutschland ticket. Work-life balance: 29 vacation days plus additional days off on the 24th and 31st December, flexible working hours, up to three days of working from home per week and the possibility of a paid sabbatical. flaconi Academy: Actively shape your own career path by taking advantage of our internal and external training opportunities. We care about your well being: We want to support you also during difficult times. For this, we offer you and your close relatives counseling sessions with mental health professionals. flaconi fitness: a wide range of sports options & discounts on memberships. Family first: Our “emergency-daycare” is there for you in out-of-the-ordinary situations to look after your child on site at our office. Thinking about tomorrow together: flaconi subsidizes your savings contribution to the company pension scheme with an additional 20%. A comfortable working space with everything you need: High end technical equipment, fruits and drinks, no dress code and dogs are welcome in our office! Other perks: Great discounts in our online shop as well with our partner companies, cool team events & company parties! Check out all benefits HERE. Founded in 2011 as one of the first online perfumeries, flaconi is honored to work with more than 700 people from 60 different nations at the flaconi headquarters in Berlin-Charlottenburg and its fulfillment center in Halle. Shape our company’s success with us and apply now online! We look forward to receiving your complete application documents including your earliest starting date and salary expectations.flaconi will not accept unsolicited resumes from any source (e. g. recruitment agency) other than directly from a candidate. The offered salary will always be within this range and is based on the outcomes of the recruitment process. Salary range (annual brutto) €61.800—€75.000 EUR", "summaryDescription" : "Senior HR Analytics & Automation Manager at flaconi", "postedDate" : "2026-06-15T23:23:39.132", "createdAt" : "2026-06-15T23:23:39.132", "lastUpdated" : "2026-06-16T05:18:48.109", "ingestTimestamp" : "2026-06-15T23:23:39.132", "mongoId" : "6a305abbf292fd229cf54e84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305788f292fd229cf3ad8f", "title" : "Data Scientist (Audit Analytics & Automation)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 98500.0, "max" : 141500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in Omaha, adjusted for mid-seniority, engineering industry, and full-time employment." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T08:32:08.485", "fingerprint" : "54ae453537841b5c07a7f90fd084e3ff7160e3248c238fa96955f4dd1074c970", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784465", "externalId" : "784465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, Generative AI, Snowflake, Power BI, Alteryx, RPA, UiPath, Automation Anywhere", "professionalSkills" : [ "Process improvement", "Data analysis", "Automation" ], "hardSkillsList" : [ "Predictive analytics", "Feature engineering", "Natural language processing", "Data visualization", "Continuous auditing" ], "hardSkills" : [ { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Continuous auditing", "level" : "intermediate" } ], "majorSkills" : "Data science, Automation, Generative AI", "majorSkillsList" : [ "Data science", "Automation", "Generative AI" ], "coreResponsibilities" : "Analyze datasets, Perform exploratory data analysis, Perform feature engineering, Develop models, Perform natural language processing, Identify trends and patterns, Design automated audit procedures, Implement automated audit procedures, Visualize data insights, Develop continuous auditing processes, Develop monitoring processes, Identify opportunities for automation, Identify opportunities for process improvement, Stay current on emerging technologies, Stay current on data science techniques, Stay current on internal audit trends, Stay current on automation trends, Train team members on tools, Train team members on reporting systems, Support financial audits, Support operational audits, Support compliance audits, Support technology audits", "teamCollaboration" : "Internal Audit team; HDR Data Architecture teams", "domainKnowledge" : "Internal audit; Audit analytics; Audit automation", "domainList" : [ "internal-audit", "audit-analytics", "audit-automation" ], "domainSpecificKnowledge" : [ "Internal audit", "Audit analytics", "Audit automation" ], "toolProficiency" : [ "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "continuousLearning" : "Mentorship", "innovationCreativity" : "Generative AI", "problemSolvingSkills" : "Data-driven insights", "outcomesObjectives" : "Improve audit efficiency; Enhance risk coverage; Enhance audit reporting; Enhance continuous auditing capabilities", "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Snowflake experience, Alteryx experience, RPA tools experience, UiPath experience, Automation Anywhere experience, ERP systems experience", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR has partnered with clients to shape communities and push the boundaries of what’s possible since 1917. We specialize in engineering, architecture, environmental and construction services. With nearly 15,000 employees in more than 225 locations around the world, we think global and act local. We are seeking a motivated, proactive, and tech-savvy professional to join our dynamic Internal Audit team. This is an exciting opportunity for a driven individual with a passion for innovation, process improvement, and value creation. In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. Preferred Technical Skills: Snowflake (data warehousing and analytics) Power BI or other data visualization tools Alteryx or similar data preparation platforms Python or SQL for data analysis and automation Robotic Process Automation (RPA) tools such as UiPath or Automation Anywhere ERP systems. ", "summaryDescription" : "Data Scientist (Audit Analytics & Automation) at HDR. Skills: Data science, Automation, Generative AI. Analyze datasets. Perform exploratory data analysis", "createdAt" : "2026-06-15T23:08:38.605", "lastUpdated" : "2026-06-16T08:32:08.485", "ingestTimestamp" : "2026-06-15T23:08:38.605", "mongoId" : "6a305788f292fd229cf3ad8f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98500, "salaryAnnualMax" : 141500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Predictive analytics", "Feature engineering", "Natural language processing", "Data visualization", "Continuous auditing", "Data science", "Automation", "Generative AI", "Process improvement", "Data analysis", "Internal audit", "Audit analytics", "Audit automation", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305775f292fd229cf39f6c", "title" : "Data Scientist (Audit Analytics & Automation)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in Omaha, adjusted for mid-seniority and the engineering industry." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-16T07:53:46.603", "fingerprint" : "df7ec962620ca62ba55a09714a7efae7d9bda62e7ec8b6e743f1dc152580c50a", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784465", "externalId" : "784465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, Generative AI, Snowflake, Power BI, Alteryx, RPA, UiPath, Automation Anywhere", "professionalSkills" : [ "Process improvement", "Value creation", "Data-driven insights", "Scalable automation", "Audit techniques", "Data architecture", "Emerging technologies" ], "hardSkillsList" : [ "Predictive analytics", "Feature engineering", "Model development", "Natural language processing", "Automated audit procedures", "Data visualization", "Continuous auditing", "Continuous monitoring" ], "hardSkills" : [ { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Automated audit procedures", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Continuous auditing", "level" : "intermediate" }, { "name" : "Continuous monitoring", "level" : "intermediate" } ], "majorSkills" : "Data Science, Automation, Generative AI, Audit Analytics", "majorSkillsList" : [ "Data Science", "Automation", "Generative AI", "Audit Analytics" ], "coreResponsibilities" : "Analyze datasets, Perform exploratory data analysis, Perform feature engineering, Develop models, Perform natural language processing, Identify trends and patterns, Design automated audit procedures, Implement automated audit procedures, Visualize data insights, Develop continuous auditing processes, Develop continuous monitoring processes, Identify opportunities for automation, Identify opportunities for process improvement, Stay current on emerging technologies, Stay current on data science techniques, Stay current on internal audit trends, Stay current on automation trends, Train team members on tools, Train team members on reporting systems, Support financial audits, Support operational audits, Support compliance audits, Support technology audits", "teamCollaboration" : "Internal Audit team; HDR's Data Architecture teams", "domainKnowledge" : "Internal Audit; Audit Analytics; Generative AI; Continuous Auditing", "domainList" : [ "internal-audit", "audit-analytics", "generative-ai", "continuous-auditing" ], "domainSpecificKnowledge" : [ "Internal Audit", "Audit Analytics", "Generative AI", "Continuous Auditing" ], "toolProficiency" : [ "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "continuousLearning" : "Mentorship; Diverse career opportunities", "innovationCreativity" : "Innovation; Novel ideas; Process improvement; Value creation; Leveraging automation; Generative AI; Innovative audit techniques", "problemSolvingSkills" : "Data-driven insights; Scalable automation; Process improvement", "outcomesObjectives" : "Improve efficiency; Enhance risk coverage; Transform Internal Audit; Redefine audit processes; Enhance audit efficiency; Enhance reporting; Enhance continuous auditing capabilities", "qualificationsBasic" : "5+ years experience, SQL proficiency, Python or SQL for data analysis", "qualificationsPreferred" : "PhD preferred, Snowflake experience, Power BI experience, Alteryx experience, RPA tools experience, ERP systems experience, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR has partnered with clients to shape communities and push the boundaries of what’s possible since 1917. We specialize in engineering, architecture, environmental and construction services. With nearly 15,000 employees in more than 225 locations around the world, we think global and act local. We are seeking a motivated, proactive, and tech-savvy professional to join our dynamic Internal Audit team. This is an exciting opportunity for a driven individual with a passion for innovation, process improvement, and value creation. In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. Preferred Technical Skills: Snowflake (data warehousing and analytics) Power BI or other data visualization tools Alteryx or similar data preparation platforms Python or SQL for data analysis and automation Robotic Process Automation (RPA) tools such as UiPath or Automation Anywhere ERP systems. ", "summaryDescription" : "Data Scientist (Audit Analytics & Automation) at HDR. Skills: Data Science, Automation, Generative AI, Audit Analytics. Analyze datasets. Perform exploratory data analysis", "createdAt" : "2026-06-15T23:08:30.130", "lastUpdated" : "2026-06-16T07:53:46.603", "ingestTimestamp" : "2026-06-15T23:08:30.130", "mongoId" : "6a305775f292fd229cf39f6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Predictive analytics", "Feature engineering", "Model development", "Natural language processing", "Automated audit procedures", "Data visualization", "Continuous auditing", "Continuous monitoring", "Data Science", "Automation", "Generative AI", "Audit Analytics", "Process improvement", "Value creation", "Data-driven insights", "Scalable automation", "Audit techniques", "Data architecture", "Emerging technologies", "Internal Audit", "Continuous Auditing", "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305764f292fd229cf39359", "title" : "Data Scientist (Audit Analytics & Automation)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in Omaha, adjusted for mid-seniority and the engineering industry." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-16T08:29:49.455", "fingerprint" : "2259bf2e36173980b11f2784b6c44b168a9d51092875c82a0055f131d36be4dc", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784465", "externalId" : "784465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, Snowflake, Power BI, Alteryx, RPA, UiPath, Automation Anywhere, Generative AI", "professionalSkills" : [ "Process improvement", "Value creation", "Data analysis", "Feature engineering", "Model development", "Natural language processing", "Automation" ], "hardSkillsList" : [ "Predictive analytics", "Data analytics", "Continuous auditing", "Continuous monitoring" ], "hardSkills" : [ { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Continuous auditing", "level" : "intermediate" }, { "name" : "Continuous monitoring", "level" : "intermediate" } ], "majorSkills" : "Data science, Automation, Generative AI, Audit analytics", "majorSkillsList" : [ "Data science", "Automation", "Generative AI", "Audit analytics" ], "coreResponsibilities" : "Analyze datasets, Drive analytical process, Perform exploratory data analysis, Perform feature engineering, Develop models, Perform natural language processing, Identify trends and patterns, Design automated audit procedures, Implement automated audit procedures, Visualize data insights, Develop continuous auditing processes, Develop continuous monitoring processes, Identify opportunities for automation, Identify opportunities for process improvement, Stay current on emerging technologies, Stay current on data science techniques, Stay current on internal audit trends, Stay current on automation trends, Train team members, Support financial audits, Support operational audits, Support compliance audits, Support technology audits", "teamCollaboration" : "Internal Audit teams; HDR's Data Architecture teams", "domainKnowledge" : "Internal audit; Audit analytics; Continuous auditing; Risk coverage", "domainList" : [ "internal-audit", "audit-analytics", "continuous-auditing", "risk-coverage" ], "domainSpecificKnowledge" : [ "Internal audit", "Audit analytics", "Continuous auditing", "Risk coverage" ], "toolProficiency" : [ "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "continuousLearning" : "Mentorship", "innovationCreativity" : "Innovation; Novel ideas", "problemSolvingSkills" : "Data-driven insights", "outcomesObjectives" : "Improve efficiency; Enhance risk coverage; Enhance audit efficiency; Enhance reporting; Enhance continuous auditing capabilities", "qualificationsBasic" : "5+ years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, Snowflake experience, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR has partnered with clients to shape communities and push the boundaries of what’s possible since 1917. We specialize in engineering, architecture, environmental and construction services. With nearly 15,000 employees in more than 225 locations around the world, we think global and act local. We are seeking a motivated, proactive, and tech-savvy professional to join our dynamic Internal Audit team. This is an exciting opportunity for a driven individual with a passion for innovation, process improvement, and value creation. In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. Preferred Technical Skills: Snowflake (data warehousing and analytics) Power BI or other data visualization tools Alteryx or similar data preparation platforms Python or SQL for data analysis and automation Robotic Process Automation (RPA) tools such as UiPath or Automation Anywhere ERP systems. ", "summaryDescription" : "Data Scientist (Audit Analytics & Automation) at HDR. Skills: Data science, Automation, Generative AI, Audit analytics. Analyze datasets. Drive analytical process", "createdAt" : "2026-06-15T23:08:29.444", "lastUpdated" : "2026-06-16T08:29:49.455", "ingestTimestamp" : "2026-06-15T23:08:29.444", "mongoId" : "6a305764f292fd229cf39359", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Predictive analytics", "Data analytics", "Continuous auditing", "Continuous monitoring", "Data science", "Automation", "Generative AI", "Audit analytics", "Process improvement", "Value creation", "Data analysis", "Feature engineering", "Model development", "Natural language processing", "Internal audit", "Risk coverage", "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305763f292fd229cf392a4", "title" : "Data Scientist (Audit Analytics & Automation)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in Omaha, adjusted for mid-seniority and the engineering industry." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-16T07:55:26.815", "fingerprint" : "b2951aa66f3c8ebcf8e8a65400b62f7d2c1d7ba55a3b18fec6a21b8d58838841", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784465", "externalId" : "784465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, Snowflake, Power BI, Alteryx, RPA, UiPath, Automation Anywhere, Generative AI", "professionalSkills" : [ "Process improvement", "Value creation", "Data analysis", "Feature engineering", "Model development", "Natural language processing", "Automation" ], "hardSkillsList" : [ "Predictive analytics", "Data analytics", "Continuous auditing", "Continuous monitoring" ], "hardSkills" : [ { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Continuous auditing", "level" : "intermediate" }, { "name" : "Continuous monitoring", "level" : "intermediate" } ], "majorSkills" : "Data science, Automation, Generative AI, Audit analytics", "majorSkillsList" : [ "Data science", "Automation", "Generative AI", "Audit analytics" ], "coreResponsibilities" : "Analyze datasets, Drive analytical process, Perform exploratory data analysis, Perform feature engineering, Develop models, Perform natural language processing, Identify trends, Identify patterns, Design automated audit procedures, Implement automated audit procedures, Visualize data insights, Develop continuous auditing processes, Develop continuous monitoring processes, Identify opportunities for automation, Identify opportunities for process improvement, Stay current on emerging technologies, Stay current on data science techniques, Stay current on internal audit trends, Stay current on automation trends, Train team members, Support financial audits, Support operational audits, Support compliance audits, Support technology audits", "teamCollaboration" : "Internal Audit; Data Architecture teams", "domainKnowledge" : "Internal audit; Audit analytics; Continuous auditing; Risk coverage", "domainList" : [ "internal-audit", "audit-analytics", "continuous-auditing", "risk-coverage" ], "domainSpecificKnowledge" : [ "Internal audit", "Audit analytics", "Continuous auditing", "Risk coverage" ], "toolProficiency" : [ "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "innovationCreativity" : "Innovation; Novel ideas; Generative AI", "problemSolvingSkills" : "Data-driven insights", "outcomesObjectives" : "Improve efficiency; Enhance risk coverage; Enhance audit efficiency; Enhance reporting; Enhance continuous auditing capabilities", "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, Snowflake experience, Cloud platform certs", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR has partnered with clients to shape communities and push the boundaries of what’s possible since 1917. We specialize in engineering, architecture, environmental and construction services. With nearly 15,000 employees in more than 225 locations around the world, we think global and act local. We are seeking a motivated, proactive, and tech-savvy professional to join our dynamic Internal Audit team. This is an exciting opportunity for a driven individual with a passion for innovation, process improvement, and value creation. In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. Preferred Technical Skills: Snowflake (data warehousing and analytics) Power BI or other data visualization tools Alteryx or similar data preparation platforms Python or SQL for data analysis and automation Robotic Process Automation (RPA) tools such as UiPath or Automation Anywhere ERP systems. ", "summaryDescription" : "Data Scientist (Audit Analytics & Automation) at HDR. Skills: Data science, Automation, Generative AI, Audit analytics. Analyze datasets. Drive analytical process", "createdAt" : "2026-06-15T23:08:14.033", "lastUpdated" : "2026-06-16T07:55:26.815", "ingestTimestamp" : "2026-06-15T23:08:14.033", "mongoId" : "6a305763f292fd229cf392a4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Predictive analytics", "Data analytics", "Continuous auditing", "Continuous monitoring", "Data science", "Automation", "Generative AI", "Audit analytics", "Process improvement", "Value creation", "Data analysis", "Feature engineering", "Model development", "Natural language processing", "Internal audit", "Risk coverage", "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305764f292fd229cf39386", "title" : "Data Scientist (Audit Analytics & Automation)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 98000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in Omaha, adjusted for the Engineering industry and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-16T08:58:54.919", "fingerprint" : "6ab52f0b430708cd83e071458ccc1ddd3c31d5360517356c21e3c74a2e95b41e", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784465", "externalId" : "784465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, Generative AI, Snowflake, Power BI, Alteryx, RPA, UiPath, Automation Anywhere", "professionalSkills" : [ "Process improvement", "Value creation", "Data-driven insights", "Scalable automation", "Audit techniques", "Data architecture", "Emerging technologies" ], "hardSkillsList" : [ "Predictive analytics", "Feature engineering", "Model development", "Natural language processing", "Automated audit procedures", "Data visualization", "Continuous auditing", "Continuous monitoring" ], "hardSkills" : [ { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Automated audit procedures", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Continuous auditing", "level" : "intermediate" }, { "name" : "Continuous monitoring", "level" : "intermediate" } ], "majorSkills" : "Data Science, Automation, Generative AI, Audit Analytics", "majorSkillsList" : [ "Data Science", "Automation", "Generative AI", "Audit Analytics" ], "coreResponsibilities" : "Analyze datasets, Perform exploratory data analysis, Perform feature engineering, Develop models, Perform natural language processing, Identify trends and patterns, Design automated audit procedures, Implement automated audit procedures, Visualize data insights, Develop continuous auditing processes, Develop continuous monitoring processes, Identify opportunities for automation, Identify opportunities for process improvement, Stay current on emerging technologies, Stay current on data science techniques, Stay current on internal audit trends, Stay current on automation trends, Train team members on tools, Train team members on reporting systems, Support financial audits, Support operational audits, Support compliance audits, Support technology audits", "teamCollaboration" : "Internal Audit team; HDR's Data Architecture teams", "domainKnowledge" : "Internal Audit; Audit Analytics; Generative AI; Continuous Auditing", "domainList" : [ "internal-audit", "audit-analytics", "generative-ai", "continuous-auditing" ], "domainSpecificKnowledge" : [ "Internal Audit", "Audit Analytics", "Generative AI", "Continuous Auditing" ], "toolProficiency" : [ "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "continuousLearning" : "Mentorship; Diverse career opportunities", "innovationCreativity" : "Innovation; Novel ideas; Process improvement; Value creation; Leveraging automation; Generative AI; Innovative audit techniques", "problemSolvingSkills" : "Data-driven insights; Scalable automation; Process improvement", "outcomesObjectives" : "Improve efficiency; Enhance risk coverage; Transform Internal Audit; Redefine audit processes; Enhance audit efficiency; Enhance reporting; Enhance continuous auditing capabilities", "qualificationsBasic" : "5+ years experience, SQL proficiency, Python or SQL for data analysis", "qualificationsPreferred" : "PhD preferred, Snowflake experience, Power BI experience, Alteryx experience, RPA tools experience, ERP systems experience, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR has partnered with clients to shape communities and push the boundaries of what’s possible since 1917. We specialize in engineering, architecture, environmental and construction services. With nearly 15,000 employees in more than 225 locations around the world, we think global and act local. We are seeking a motivated, proactive, and tech-savvy professional to join our dynamic Internal Audit team. This is an exciting opportunity for a driven individual with a passion for innovation, process improvement, and value creation. In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. Preferred Technical Skills: Snowflake (data warehousing and analytics) Power BI or other data visualization tools Alteryx or similar data preparation platforms Python or SQL for data analysis and automation Robotic Process Automation (RPA) tools such as UiPath or Automation Anywhere ERP systems. ", "summaryDescription" : "Data Scientist (Audit Analytics & Automation) at HDR. Skills: Data Science, Automation, Generative AI, Audit Analytics. Analyze datasets. Perform exploratory data analysis", "createdAt" : "2026-06-15T23:08:13.497", "lastUpdated" : "2026-06-16T08:58:54.919", "ingestTimestamp" : "2026-06-15T23:08:13.497", "mongoId" : "6a305764f292fd229cf39386", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Predictive analytics", "Feature engineering", "Model development", "Natural language processing", "Automated audit procedures", "Data visualization", "Continuous auditing", "Continuous monitoring", "Data Science", "Automation", "Generative AI", "Audit Analytics", "Process improvement", "Value creation", "Data-driven insights", "Scalable automation", "Audit techniques", "Data architecture", "Emerging technologies", "Internal Audit", "Continuous Auditing", "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c93e774d8ee00a098938f", "title" : "Business Development Representative (ITSM)", "company" : "SolarWinds", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Business Development Representative in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin Office", "locations" : [ "Austin Office" ], "timestamp" : "2026-06-16T03:10:29.131", "fingerprint" : "9cb79430b1ba480c253670885fee68eb038c62ffdc09831e399eded9d961512b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.solarwinds.com/job-detail/?gh_jid=4688399005&gh_jid=4688399005", "externalId" : "4688399005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! Role Overview At SolarWinds, we’re a people-first company on a mission to enrich lives by helping customers accelerate business transformation. As an Outbound BDR, you are the engine of our growth. Unlike inbound roles, you don’t wait for the phone to ring—you create the opportunity. You will proactively identify, research, and engage key stakeholders within targeted enterprise and mid-market accounts. You will utilize a cutting-edge tech stack (AI, Outreach, Salesforce) to spark curiosity in our solutions, acting as a strategic partner to our global sales teams while maintaining a high standard of accountability and empathy. Key Responsibilities Strategic Prospecting you don't need to be an engineer, but you must be a fast learner. Strategic Thinker: Ability to look at a territory and determine which accounts to prioritize based on data and research rather than just calling a list. Collaborative Spirit: A team player who enjoys sharing \"what’s working\" with the broader BDR team to help everyone win. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Business Development Representative (ITSM) at SolarWinds", "postedDate" : "2026-06-14T20:12:46.048", "createdAt" : "2026-06-14T20:12:46.048", "lastUpdated" : "2026-06-16T03:10:29.131", "ingestTimestamp" : "2026-06-14T20:12:46.048", "mongoId" : "6a2c93e774d8ee00a098938f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1614ed58b93c861e8d8780", "title" : "System Administrator (ITSM)", "industry" : "Education", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level System Administrator in Sugar Land, United States, adjusted for the Education industry." }, "location" : "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "locations" : [ "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "
ADMINISTRATION BUILDING (700)
16431 LEXINGTON BLVD.
SUGAR LAND, 77479

" ], "certifications" : [ "ITIL v. 3 Foundations" ], "timestamp" : "2026-06-15T06:49:16.903", "fingerprint" : "705f15de5ccd2f9c4b03189216b5a92e17994141c0d3ee1deab2d38864ab0c14", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=191657", "externalId" : "191657", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "technicalSkills" : "Java", "professionalSkills" : [ "System administration", "Business analysis", "Project management", "Customer service", "Training", "System design", "Process improvement", "Quality assurance", "User acceptance testing", "Reporting" ], "hardSkillsList" : [ "System administration", "ITSM administration", "Security vulnerability mitigation", "System upgrades", "Requirement gathering", "Process analysis", "Data analysis", "Report generation", "Project coordination", "Training facilitation" ], "softSkillsList" : [ "Public speaking" ], "hardSkills" : [ { "name" : "System administration", "level" : "intermediate" }, { "name" : "ITSM administration", "level" : "intermediate" }, { "name" : "Security vulnerability mitigation", "level" : "intermediate" }, { "name" : "System upgrades", "level" : "intermediate" }, { "name" : "Requirement gathering", "level" : "intermediate" }, { "name" : "Process analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Project coordination", "level" : "intermediate" }, { "name" : "Training facilitation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Public speaking" } ], "majorSkills" : "ITSM administration, System administration, Business process analysis, Project coordination", "majorSkillsList" : [ "ITSM administration", "System administration", "Business process analysis", "Project coordination" ], "coreResponsibilities" : "Configure ITSM software, Implement ITSM software, Maintain ITSM software, Administer ITSM solution, Monitor system health, Mitigate security vulnerabilities, Manage system upgrades, Implement system upgrades, Create system documentation, Maintain system documentation, Identify incidents, Log incidents, Resolve incidents, Identify problems, Log problems, Resolve problems, Assess new standards, Assess new technologies, Assess new trends, Improve quality assurance, Improve user acceptance testing, Leverage ITSM solution, Improve business processes, Gain efficiency, Analyze applications, Analyze business processes, Recommend solutions, Implement solutions, Analyze available data, Analyze data sources, Generate reports, Analyze reports, Lead requirement gathering sessions, Document requirement gathering sessions, Coordinate project meetings, Lead project meetings, Participate in project meetings, Create project plans, Maintain project timelines, Facilitate training sessions, Create training materials, Maintain training materials", "teamCollaboration" : "Business owners; Key stakeholders; Web/Application Services team", "projectManagementSkills" : [ "Project planning", "Scope management", "Timeline management", "Resource allocation" ], "domainKnowledge" : "ITSM tool administration; School district operations", "domainList" : [ "itsm-tool-administration", "school-district-operations" ], "domainSpecificKnowledge" : [ "ITSM tool administration", "School district operations" ], "toolProficiency" : [ "IFS Assyst" ], "communicationSkills" : "Written communication; Oral communication; Executive presentations", "documentationSkills" : "System documentation; Training materials", "continuousLearning" : "Professional development; Conference attendance", "innovationCreativity" : "Process improvements; Future enhancements", "problemSolvingSkills" : "Troubleshooting; Root cause analysis; Problem resolution", "specialRequirements" : "On-call rotation, After-hours work, Weekend work, Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Occasional lifting, Lifting less than 40 pounds, Prolonged hours, Irregular hours, Emotional control under stress", "outcomesObjectives" : "Minimize service disruptions; Improve business processes; Gain efficiency", "qualificationsBasic" : "Bachelor's degree in Computer Science, Minimum 3 years IT System Administration, Minimum 3 years Business Analysis, Minimum 4 years IT customer service, Minimum 2 years training in IT systems, Understanding of programming concepts, Understanding of application architecture, Understanding of information architecture, Ability to write Java, Ability to comprehend Java, Understanding of databases, Understanding of data structures, Excellent customer service skills, Ability to troubleshoot production issues, Excellent analytical skills, Excellent problem-solving skills, Project oriented, Goal oriented, Detail oriented, Ability to use independent judgment, Ability to demonstrate initiative, Ability to proactively learn skills, Ability to explain abstract concepts, Ability to grow professionally, Work under minimal supervision, Excellent public relations skills, Excellent organizational skills, Excellent communication skills, Excellent interpersonal skills, Ability to multi-task complex activities, Ability to analyze technical documentation, Ability to interpret technical documentation, Ability to analyze governmental regulations, Ability to interpret governmental regulations, Ability to speak effectively before groups, Ability to make independent decisions, Ability to plan, Ability to organize, Ability to schedule, Ability to communicate effectively", "qualificationsPreferred" : "ITIL v. 3 Foundations preferred, Experience with IFS Assyst preferred, Knowledge of school district operations preferred, Knowledge of school district procedures preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The System Administrator (ITSM) is a crucial member of the Web/Application Services team, responsible for coordinating project efforts, gathering requirements, and delivering high-quality solutions to internal customers within the District. The System Administrator (ITSM) main role is to administer the District's ITSM tool. The incumbent will often lead or participate in requirements gathering and design sessions with business owners at various levels within FBISD. The System Administrator (ITSM) ensures that processes are followed and that solutions meet security, business, and quality assurance standards. The incumbent will oversee the District's ITSM solution, lead project efforts, develop project plans, and enhance the ITSM solution's capabilities. On-call, after-hours, and weekend work may be required as needed. Position Description Essential Duties and Responsibilities System Administration Configure, implement, and maintain the ITSM software to ensure it meets organizational needs Responsible for system administration and health monitoring of the District's ITSM solution and other supported systems Monitor, evaluate and mitigate potential security vulnerabilities in the District's ITSM solution and other support systems Manage system upgrades and implementations to support various business needs Create and maintain necessary system documentation for the District's ITSM solution and other supported systems Oversee the process of identifying, logging, and resolving incidents and problems to minimize service disruptions Analysis Assess new standards, technologies and trends to bring forward strategies for future enhancements and process improvements Evaluate and improve quality assurance and user acceptance testing process and procedures Actively seek ways to leverage the District's ITSM solution to improve business processes and gain efficiency Analyze applications and business processes in order to recommend and implement solutions to improve business processes and gain efficiency Analyze available data and data sources for use in applications, dashboards and reporting. Generate and analyze reports on ITSM activities to identify trends, issues, and areas for improvement Lead and document requirement gathering sessions with business owners and key stakeholders regarding business process adjustments, application configuration changes, and new requests Project Coordination Coordinate, lead and actively participate in standing project and stakeholders' meetings relating to the District's ITSM solution and other supported systems Ensure creation of project plans (scope and timeline) and other project artifacts Establish and maintain communication between the Web/Application Services team and key stakeholders for the life of projects Maintain timelines of upcoming project efforts for the purpose of resource allocation and planning Lead and actively participate in strategic planning for the District's ITSM solution Training Lead and facilitate training sessions for District staff Create and maintain training materials for a variety of systems Supervisory Responsibilities None Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Bachelor's degree in Computer Science or related field Information Technology Infrastructure Library (ITIL) v.3 Foundations preferred Minimum of 3 years IT System Administration Minimum of 3 years Business Analysis and/or Project Management Minimum of 4 years IT related customer service Minimum of 2 years training in IT systems Understanding of programming concepts Understanding of application and information architecture principles Ability to write and comprehend Java Understanding of databases and data structures Excellent customer service skills Ability to troubleshoot and resolve issues in a production environment Excellent analytical and problem-solving skills Must be project, goal and detail-oriented Ability to use independent judgment, demonstrate initiative and proactively learn new skills Must be able to explain difficult abstract concepts Ability to grow professionally in a highly flexible and fast-moving environment Work under minimal supervision Excellent public relations, organizational, communication and interpersonal skills Ability to multi-task numerous complex activities Ability to analyze and interpret technical documentation and governmental regulations Ability to speak effectively before groups of employees or organizations Ability to make independent decisions regarding planning, organizing and scheduling Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the District Experience with IFS Assyst preferred Demonstrated knowledge of school district operations and procedures preferred Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. TEXAS-SUGAR LAND", "summaryDescription" : "System Administrator (ITSM). Skills: ITSM administration, System administration, Business process analysis, Project coordination. Configure ITSM software. Implement ITSM software", "createdAt" : "2026-06-14T02:05:41.331", "lastUpdated" : "2026-06-15T06:49:16.903", "ingestTimestamp" : "2026-06-14T02:05:41.331", "mongoId" : "6a1614ed58b93c861e8d8780", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "System administration", "ITSM administration", "Security vulnerability mitigation", "System upgrades", "Requirement gathering", "Process analysis", "Data analysis", "Report generation", "Project coordination", "Training facilitation", "Public speaking", "Business process analysis", "Business analysis", "Project management", "Customer service", "Training", "System design", "Process improvement", "Quality assurance", "User acceptance testing", "Reporting", "Project planning", "Scope management", "Timeline management", "Resource allocation", "ITSM tool administration", "School district operations", "ITIL v. 3 Foundations", "IFS Assyst" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8d70f0b99d5843fe9e", "title" : "Automation and Analytics Program Manager, Delivery Services", "company" : "Amazon Commercial Services Pty Ltd", "industry" : "Leadership Development Training, Program Management, fulfillment ops", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Automation and Analytics Program Manager, Delivery Services in Melbourne, Australia, adjusted for Manager seniority at a large e-commerce company." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-15T01:55:39.451", "fingerprint" : "f508a7d9ada6ad76a1db6b51ce291ef97f810abf0fe0e21e3b329b3474620b6b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137761/apply", "externalId" : "d3aee3f4-99d9-4a36-a4dc-94664c2ce0a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Learning program strategy", "Operational performance", "Employee development", "Business outcomes", "Resource allocation", "Program enhancement", "Quality assurance" ], "hardSkillsList" : [ "Data analysis", "Program management", "Business analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Learning program management, Operational excellence, Data analytics", "majorSkillsList" : [ "Learning program management", "Operational excellence", "Data analytics" ], "coreResponsibilities" : "Support learning leaders, Design learning programs, Improve safety metrics, Improve quality metrics, Improve productivity metrics, Partner with WW learning teams, Evaluate learning solutions, Localise learning solutions, Pilot new approaches, Measure learning effectiveness, Identify performance gaps, Optimise program delivery, Build partnerships with Operations leaders, Navigate competing priorities, Manage escalations, Make judgment calls, Communicate learning strategy, Communicate learning results, Translate training metrics, Drive adherence to standards, Create feedback loops, Capture operational insights, Scale learning programs, Maintain program quality, Maintain program consistency, Establish quality assurance processes, Ensure consistent training experiences", "teamCollaboration" : "Cross-functional learning initiatives; WW learning teams; Operations leaders; Senior leadership; Cross functional teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Learning excellence; Operational performance; Safety outcomes; Employee development; Customer experiences; Program delivery; Business impact; Operational insights; Learning effectiveness", "domainList" : [ "learning-excellence", "operational-performance", "safety-outcomes", "employee-development", "customer-experiences", "program-delivery", "business-impact", "operational-insights", "learning-effectiveness" ], "domainSpecificKnowledge" : [ "Learning excellence", "Operational performance", "Safety outcomes", "Employee development", "Customer experiences", "Program delivery", "Business impact", "Operational insights", "Learning effectiveness" ], "communicationSkills" : "Communicate results; Communicate strategy; Business review", "innovationCreativity" : "Innovate program delivery; Pilot new approaches", "problemSolvingSkills" : "Data-driven decision making; Identify performance gaps; Optimise program delivery; Navigate competing priorities; Make sound judgment calls", "specialRequirements" : "20% quarterly travel", "outcomesObjectives" : "Improve safety metrics; Improve quality metrics; Improve productivity metrics; Drive business outcomes; Ensure consistent training experiences", "qualificationsBasic" : "5+ years program management, Experience using data and metrics, Own program strategy, End to end delivery, Communicate results to senior leadership, SQL expertise, Python expertise, At least 2 program languages, Experience as a business analyst, Program Management experience, Knows when to use each programming language, Data analysis assessment, AI integration capabilities, At least 3 years Business Analyst, Stakeholder management, Business acumen", "qualificationsPreferred" : "2+ years driving process improvements, Master's degree, MBA in business, operations, human resources, adult education, organizational development, instructional design or related field, Open to AI integration", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AU Learning team seeks an exceptional Learning Program Manager who will set the standard for learning excellence across our operations. This role demands a strategic leader who can transform learning from a compliance function into a competitive advantage that directly drives operational performance, safety outcomes, and employee development at scale. As a Learning Program Manager, you will drive the end-to-end learning program strategy for Operations, establishing best-in-class training standards that enable our teams to deliver world-class customer experiences. You will lead cross-functional learning initiatives across the region, driving innovation in program delivery while maintaining relentless focus on measurable business impact. This role requires someone who can operate at both strategic and tactical levels—designing regional learning frameworks while being willing to \"roll up your sleeves\" and deliver training on the floor when needed. This is a field-based, leadership position requiring at least 20% quarterly travel between operations sites. You must be comfortable working in a dynamic, high-volume environment where priorities shift rapidly and ambiguity is the norm. Key job responsibilities Operational Excellence & Data-Driven Decision Making - Support a high-performing team of learning leaders across multiple locations. - Design and implement a comprehensive learning programs for critical operational roles (Yard Marshals, TDR, Learning Ambassadors) that demonstrably improves safety, quality, and productivity metrics - Partner with WW learning teams to identify, evaluate, and localise innovative learning solutions, demonstrating bias for action in piloting new approaches while maintaining high standards for effectiveness - Leverage data analytics to measure learning effectiveness, identify performance gaps, and continuously optimise program delivery Stakeholder Management & Influence - Build deep partnerships with Operations leaders, earning their trust through consistent delivery and demonstrating how learning investments drive business outcomes - Navigate competing priorities and escalations with composure, making sound judgment calls about resource allocation and timeline tradeoffs - Communicate learning strategy and results to senior leadership, translating training metrics into business impact - Influence without authority across multiple stakeholder groups to drive adoption of learning initiatives Standards & Continuous Improvement - Drive adherence to standard learning solutions while creating feedback loops that capture operational insights for program enhancement - Scale successful learning programs across the network while maintaining quality and consistency - Establish quality assurance processes that ensure consistent, high-quality training experiences across all sites in the region We are also looking for these must haves 1. SQL experience (expertise) 2. Python (expertise + mastery) 3. At least 2 program languages but Python is a must 4. Experience as a business analyst 5. Program Management experience 6. Knows when to use each programming language 7. Data analysis assessment - have Aky add in 8. Open to AI integration, when to use and know the limit 9. AI integration capabilities 10. At least 3 years of Business Analyst 11. Stakeholder management 12. Business acumen A day in the life You'll start your day reviewing learning metrics and site performance data, identifying trends that require intervention. You'll conduct check-ins with your peers and ensure they are supported. Mid-morning, you might facilitate a working session with leaders to design the strategy for a new process/program roll out, then spend the afternoon partnering with cross functional teams on program development. You'll analyse completion rates and performance data to assess program effectiveness, then end your day planning next week's site visits and preparing a business review on learning impact for senior leadership. About the team The AU Learning team is the engine that powers operational excellence across our operations network. We're a team of passionate learning professionals who believe that investing in people is the highest-leverage activity we can do. We move fast, experiment boldly, and measure everything. We support each other, challenge each other, and celebrate the impact we have on thousands of employees who deliver for our customers every day. Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership Preferred Qualifications: - 2+ years of driving process improvements experience - Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Automation and Analytics Program Manager, Delivery Services at Amazon Commercial Services Pty Ltd. Skills: Learning program management, Operational excellence, Data analytics. Support learning leaders. Design learning programs", "postedDate" : "2026-06-13T02:45:54.760", "createdAt" : "2026-06-13T02:45:54.760", "lastUpdated" : "2026-06-15T01:55:39.451", "ingestTimestamp" : "2026-06-13T02:45:54.760", "mongoId" : "693c2b8d70f0b99d5843fe9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137761/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Program management", "Business analysis", "Leadership", "Learning program management", "Operational excellence", "Data analytics", "Learning program strategy", "Operational performance", "Employee development", "Business outcomes", "Resource allocation", "Program enhancement", "Quality assurance", "Learning excellence", "Safety outcomes", "Customer experiences", "Program delivery", "Business impact", "Operational insights", "Learning effectiveness" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca45f74d8ee00a09b1815", "title" : "Healthcare Data Automation & QA Analytics Intern", "company" : "MedElite Group, LLC.", "industry" : "Healthcare", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the healthcare industry in Brooklyn, NY, adjusted for company size and specific role responsibilities." }, "location" : "Brooklyn, New York, United States", "locations" : [ "Brooklyn", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:35:48.182", "fingerprint" : "22b78eb5950f979abc49b77cdc3fabb756e76578e0591fa33f35ca8f12a66794", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/medelitellc/jobs/5258038008", "externalId" : "5258038008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooklyn", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6526006,-73.9497211" } ], "locationText" : "Brooklyn, New York, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Automate data processes, Develop and maintain data pipelines, Perform data quality assurance, Analyze data to identify trends and insights, Build and maintain reports and dashboards, Collaborate with cross-functional teams, Support data-driven decision-making, Contribute to data strategy and roadmap", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data validation", "qualificationsBasic" : "Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning frameworks, Cloud platform certifications (AWS, GCP, Azure), Experience with data warehousing solutions, Experience with BI tools", "remoteFriendly" : false, "rawDescription" : "Healthcare Data Automation you think about how it will be consumed and used to make decisions. Communication: Ability to talk to non-technical team members, understand their pain points, and deliver automation that solves their problems. What's In It For You Real-world ownership of projects that directly impact patient care and facility efficiency. Mentorship from experienced data and healthcare professionals. A fast-paced, collaborative environment where your ideas turn into production-level tools. EEO/AAP Statement: MedElite is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. MedElite is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. #INDL", "summaryDescription" : "Healthcare Data Automation & QA Analytics Intern at MedElite Group, LLC.. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Automate data processes. Develop and maintain data pipelines", "postedDate" : "2026-06-14T18:00:40.053", "createdAt" : "2026-06-14T18:00:40.053", "lastUpdated" : "2026-06-16T06:35:48.182", "ingestTimestamp" : "2026-06-14T18:00:40.053", "mongoId" : "6a2ca45f74d8ee00a09b1815", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "MLflow" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306969f292fd229cfc8169", "title" : "Mgr, Automation and Controls Engineering", "company" : "Fortune Brands", "industry" : "Consumer Goods", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager of Automation and Controls Engineering in Kinston, United States, adjusted for industry and company size." }, "location" : "Kinston, North Carolina, United States", "locations" : [ "Kinston", "North Carolina", "United States" ], "timestamp" : "2026-06-16T11:47:56.313", "fingerprint" : "49c7b6b4decde4931b5a0f4ba088b6b93b7858b2f8e8dbc8e949165e485a51ec", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FortuneBrands/744000132264939-mgr-automation-and-controls-engineering", "externalId" : "744000132264939", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kinston", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2626635,-77.5816353" } ], "locationText" : "Kinston, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "PLC programming, HMI development, Robotics, Industrial networks, SCADA systems, MES systems, Allen-Bradley, Siemens, FANUC, KUKA", "professionalSkills" : [ "Project management", "System design", "Process improvement", "Team leadership" ], "hardSkillsList" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "Project management" ], "hardSkills" : [ { "name" : "Automation", "level" : "intermediate" }, { "name" : "Controls engineering", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "HMI development", "level" : "intermediate" }, { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Industrial networking", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Controls Engineering, PLC Programming", "majorSkillsList" : [ "Automation Engineering", "Controls Engineering", "PLC Programming" ], "coreResponsibilities" : "Manage automation and controls engineering projects, Design and implement automation solutions, Develop and maintain PLC programs, Develop and maintain HMI screens, Integrate robotics into production lines, Configure and troubleshoot industrial networks, Lead a team of automation engineers, Ensure compliance with safety standards, Collaborate with cross-functional teams, Manage project budgets and timelines", "teamCollaboration" : "Cross-functional teams; Automation engineers", "projectManagementSkills" : [ "Project management", "Budget management", "Timeline management" ], "domainKnowledge" : "Manufacturing automation; Industrial controls; Robotics integration; Lean Manufacturing; Six Sigma", "domainList" : [ "manufacturing-automation", "industrial-controls", "robotics-integration", "lean-manufacturing", "six-sigma" ], "domainSpecificKnowledge" : [ "Manufacturing automation", "Industrial controls", "Robotics integration", "Lean Manufacturing", "Six Sigma" ], "toolProficiency" : [ "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Improve manufacturing efficiency; Reduce production costs; Enhance product quality; Ensure operational reliability", "qualificationsBasic" : "Bachelor's degree in Engineering or related field, 5+ years of experience in automation and controls engineering, Experience with PLC programming, Experience with HMI development, Experience with robotics, Experience with industrial networks, Experience with project management", "qualificationsPreferred" : "Master's degree in Engineering, Experience with Allen-Bradley PLCs, Experience with Siemens PLCs, Experience with FANUC robots, Experience with KUKA robots, Experience with SCADA systems, Experience with MES systems, Experience with Lean Manufacturing principles, Experience with Six Sigma methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands [here](https://www.fbin.com/careers/life-at-fortune-brands/). As a Manager, Automation and Controls Engineering , you will play a key role in ensuring the reliable operation of automated machinery, conveyor systems, robotics, and more. You will lead a team and perform both preventive maintenance and repairs, troubleshoot issues, and collaborate with our team of engineers to optimize equipment performance. Additionally, you’ll maintain accurate documentation, update the CMMS system, and support facility management efforts to sustain a high-performing environment. The ideal candidate will have a bachelor’s degree in mechanical or electrical engineering, with strong mechanical and electrical skills. You should be proficient in troubleshooting conveyors, robotics, PLCs, and automated systems. Knowledge of preventative maintenance, problem-solving abilities, attention to detail, and safety procedures are essential. Location: This is an onsite role, reporting to our Moen Distribution Center in Kinston, North Carolina. Responsibilities: * Oversee all aspects of Facility Management and Maintenance operations including facility aesthetics, ownership of equipment and plant facility performance, management and execution of on-going preventative maintenance plans, and management of continuous improvement projects. * Guide and nurture a team of maintenance staff, fostering professional growth and collaborative problem-solving in equipment installation, repairs, and preventative maintenance. * Lead and execute engineering projects for the facility. Collaborate to advance engineering projects for the facility, co-developing future automation strategies and capital projects with stakeholders. * Encourage continuous improvement initiatives, partnering with operations to establish inclusive performance standards and KPIs. * Actively participate on project teams contributing as the automation subject matter expert regarding system capabilities and system design decisions. * Provide strategic leadership in developing the Distribution Center’s processes, systems, policies and procedures setting the future direction of the engineering function. * Lead the startup of new/existing operations by ensuring code and configurations meet specifications and validation requirements. Stay current on technologies and engineering trends in order to recommend/incorporate as appropriate. * Maintain a safe work environment and promote accident prevention by setting expectations and addressing unsafe behaviors. Provide technical leadership and ensure site compliance for all regulatory agencies. * Manage labor/overhead budget to optimize resources and cost-efficiency. Identify, implement, and execute cost-savings initiatives. Leverage resources effectively to meet DC KPI’s per budget standards. ## Qualifications * 5+ years Engineering, Maintenance, or related Operations experience * Bachelor’s Degree in Mechanical or Electrical Engineering preferred * Demonstrated experience leading Engineering and Maintenance teams in Manufacturing or Distribution environment including goal setting, establishing performance standards, and driving employee engagement, accountability, and enablement. * Demonstrated experience with controls systems and controls integration. Previous experience with Allen Bradley, FactoryTalk, Logix 5000, RSLinx, Rockwell Software, Rockwell Automation, Studio 000 Logix, or equivalent Logix’s experience, automation and controls development, PLC and HMI program development, AB PowerFlex Series drives. * Development, support and troubleshooting of Intelligrated software. * Experience with Manufacturing/Distribution Improvement Methodologies, ie: Continuous Improvement, Six Sigma, 5S, Lean Manufacturing/Distribution. Project management experience including design, development, and implementation. ## Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $107,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at [fbin.com](https://fbin.com). Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at [fbinleave.fbhs@fbin.com](mailto:fbinleave.fbhs@fbin.com) and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at [fbin.com/careers](https://fbin.com/careers) via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.", "summaryDescription" : "Mgr, Automation and Controls Engineering at Fortune Brands. Skills: Automation Engineering, Controls Engineering, PLC Programming. Manage automation and controls engineering projects. Design and implement automation solutions", "postedDate" : "2026-06-15T18:37:02.000", "createdAt" : "2026-06-15T23:59:52.204", "lastUpdated" : "2026-06-16T11:47:56.313", "ingestTimestamp" : "2026-06-15T23:59:52.204", "mongoId" : "6a306969f292fd229cfc8169", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "Project management", "Automation Engineering", "Controls Engineering", "PLC Programming", "System design", "Process improvement", "Team leadership", "Budget management", "Timeline management", "Manufacturing automation", "Industrial controls", "Lean Manufacturing", "Six Sigma", "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306402f292fd229cf9fcaf", "title" : "Mgr, Automation and Controls Engineering", "company" : "Fortune Brands", "industry" : "Consumer Goods", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Automation and Controls Engineering in Kinston, United States, adjusted for industry and company size." }, "location" : "Kinston, North Carolina, United States", "locations" : [ "Kinston", "North Carolina", "United States" ], "timestamp" : "2026-06-16T10:53:31.674", "fingerprint" : "48bc61b13ffcfd9e0e310872a9b5afaf403e1d3770f6fd3473651a178e083b89", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FortuneBrands/744000132264939-mgr-automation-and-controls-engineering", "externalId" : "744000132264939", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kinston", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2626635,-77.5816353" } ], "locationText" : "Kinston, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "PLC programming, HMI development, Robotics, Industrial networks, SCADA systems, MES systems, Allen-Bradley, Siemens, FANUC, KUKA", "professionalSkills" : [ "Project management", "System design", "Process improvement", "Team leadership" ], "hardSkillsList" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "System integration" ], "hardSkills" : [ { "name" : "Automation", "level" : "intermediate" }, { "name" : "Controls engineering", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "HMI development", "level" : "intermediate" }, { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Industrial networking", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Controls Engineering, PLC Programming", "majorSkillsList" : [ "Automation Engineering", "Controls Engineering", "PLC Programming" ], "coreResponsibilities" : "Manage automation and controls engineering projects, Design and implement automation solutions, Develop and maintain PLC programs, Develop and maintain HMI screens, Integrate robotics into production lines, Configure and troubleshoot industrial networks, Oversee system testing and validation, Provide technical support to manufacturing teams, Mentor junior engineers, Ensure compliance with safety standards", "teamCollaboration" : "Cross-functional teams; Manufacturing operations", "projectManagementSkills" : [ "Project management", "Budget management", "Schedule management" ], "domainKnowledge" : "Manufacturing automation; Industrial controls; Robotics integration; Process automation", "domainList" : [ "manufacturing-automation", "industrial-controls", "robotics-integration", "process-automation" ], "domainSpecificKnowledge" : [ "Manufacturing automation", "Industrial controls", "Robotics integration", "Process automation" ], "toolProficiency" : [ "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "communicationSkills" : "Technical presentations; Project reporting", "documentationSkills" : "Technical documentation; System specifications", "innovationCreativity" : "Develop innovative solutions", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Improve manufacturing efficiency; Reduce production costs; Enhance product quality; Ensure operational reliability", "qualificationsBasic" : "Bachelor's degree in Engineering or related field, 5+ years of experience in automation and controls engineering, Experience with PLC programming, Experience with HMI development, Experience with robotics, Experience with industrial networks, Experience with project management", "qualificationsPreferred" : "Master's degree in Engineering, Experience with Allen-Bradley PLCs, Experience with Siemens PLCs, Experience with FANUC robots, Experience with KUKA robots, Experience with SCADA systems, Experience with MES systems, Experience with Lean Manufacturing principles, Experience with Six Sigma methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands [here](https://www.fbin.com/careers/life-at-fortune-brands/). As a Manager, Automation and Controls Engineering , you will play a key role in ensuring the reliable operation of automated machinery, conveyor systems, robotics, and more. You will lead a team and perform both preventive maintenance and repairs, troubleshoot issues, and collaborate with our team of engineers to optimize equipment performance. Additionally, you’ll maintain accurate documentation, update the CMMS system, and support facility management efforts to sustain a high-performing environment. The ideal candidate will have a bachelor’s degree in mechanical or electrical engineering, with strong mechanical and electrical skills. You should be proficient in troubleshooting conveyors, robotics, PLCs, and automated systems. Knowledge of preventative maintenance, problem-solving abilities, attention to detail, and safety procedures are essential. Location: This is an onsite role, reporting to our Moen Distribution Center in Kinston, North Carolina. Responsibilities: * Oversee all aspects of Facility Management and Maintenance operations including facility aesthetics, ownership of equipment and plant facility performance, management and execution of on-going preventative maintenance plans, and management of continuous improvement projects. * Guide and nurture a team of maintenance staff, fostering professional growth and collaborative problem-solving in equipment installation, repairs, and preventative maintenance. * Lead and execute engineering projects for the facility. Collaborate to advance engineering projects for the facility, co-developing future automation strategies and capital projects with stakeholders. * Encourage continuous improvement initiatives, partnering with operations to establish inclusive performance standards and KPIs. * Actively participate on project teams contributing as the automation subject matter expert regarding system capabilities and system design decisions. * Provide strategic leadership in developing the Distribution Center’s processes, systems, policies and procedures setting the future direction of the engineering function. * Lead the startup of new/existing operations by ensuring code and configurations meet specifications and validation requirements. Stay current on technologies and engineering trends in order to recommend/incorporate as appropriate. * Maintain a safe work environment and promote accident prevention by setting expectations and addressing unsafe behaviors. Provide technical leadership and ensure site compliance for all regulatory agencies. * Manage labor/overhead budget to optimize resources and cost-efficiency. Identify, implement, and execute cost-savings initiatives. Leverage resources effectively to meet DC KPI’s per budget standards. ## Qualifications * 5+ years Engineering, Maintenance, or related Operations experience * Bachelor’s Degree in Mechanical or Electrical Engineering preferred * Demonstrated experience leading Engineering and Maintenance teams in Manufacturing or Distribution environment including goal setting, establishing performance standards, and driving employee engagement, accountability, and enablement. * Demonstrated experience with controls systems and controls integration. Previous experience with Allen Bradley, FactoryTalk, Logix 5000, RSLinx, Rockwell Software, Rockwell Automation, Studio 000 Logix, or equivalent Logix’s experience, automation and controls development, PLC and HMI program development, AB PowerFlex Series drives. * Development, support and troubleshooting of Intelligrated software. * Experience with Manufacturing/Distribution Improvement Methodologies, ie: Continuous Improvement, Six Sigma, 5S, Lean Manufacturing/Distribution. Project management experience including design, development, and implementation. ## Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $107,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at [fbin.com](https://fbin.com). Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at [fbinleave.fbhs@fbin.com](mailto:fbinleave.fbhs@fbin.com) and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at [fbin.com/careers](https://fbin.com/careers) via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.", "summaryDescription" : "Mgr, Automation and Controls Engineering at Fortune Brands. Skills: Automation Engineering, Controls Engineering, PLC Programming. Manage automation and controls engineering projects. Design and implement automation solutions", "postedDate" : "2026-06-15T18:37:02.000", "createdAt" : "2026-06-15T23:49:46.542", "lastUpdated" : "2026-06-16T10:53:31.674", "ingestTimestamp" : "2026-06-15T23:49:46.542", "mongoId" : "6a306402f292fd229cf9fcaf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automation", "Controls engineering", "PLC programming", "HMI development", "Robotics integration", "Industrial networking", "System integration", "Automation Engineering", "Controls Engineering", "PLC Programming", "Project management", "System design", "Process improvement", "Team leadership", "Budget management", "Schedule management", "Manufacturing automation", "Industrial controls", "Process automation", "Allen-Bradley", "Siemens", "FANUC", "KUKA" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3078d3f292fd229c02d070", "title" : "Graduate Software Engineer (Data, Analytics, Automation & AI)", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 32000.0, "max" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Graduate Software Engineer in Birmingham, UK, adjusted for entry-level seniority and the manufacturing industry." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "certifications" : [ "Azure Fundamentals" ], "timestamp" : "2026-06-16T10:51:56.509", "fingerprint" : "3ac6b8684c2c1d91e6d2e2fecb2a22d7de11dff958e08be85ee946197228a2ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132141649-graduate-software-engineer-data-analytics-automation-ai-2-years-ftc", "externalId" : "744000132141649", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.4948994,-1.8518439" } ], "locationText" : "Birmingham, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Java, Data platforms, AI, Automation, Power BI, Azure, AWS", "professionalSkills" : [ "Software engineering principles", "Business engagement", "System integration", "Data governance", "Data quality" ], "hardSkillsList" : [ "Data preparation", "Data transformation", "Performance tracking", "Process automation", "System optimisation", "Dataset validation", "Solution deployment", "Efficiency improvements" ], "hardSkills" : [ { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "System optimisation", "level" : "intermediate" }, { "name" : "Dataset validation", "level" : "intermediate" }, { "name" : "Solution deployment", "level" : "intermediate" }, { "name" : "Efficiency improvements", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, AI, Automation, Software Development", "majorSkillsList" : [ "Data Engineering", "AI", "Automation", "Software Development" ], "coreResponsibilities" : "Support development of software solutions, Support enhancement of software solutions, Support optimisation of software solutions, Support delivery of data use cases, Support delivery of analytics use cases, Support delivery of AI use cases, Develop dashboards, Develop visualisations, Assist building AI solutions, Assist deploying AI solutions, Assist building automation solutions, Assist deploying automation solutions, Work on system integration, Work on system optimisation, Support data governance initiatives, Support data quality initiatives, Collaborate with engineers, Collaborate with data specialists, Collaborate with business stakeholders, Assist with testing solutions, Assist with deployment solutions, Assist with monitoring solutions, Assist with continuous improvement, Help identify automation opportunities, Help identify efficiency improvements, Contribute to documentation, Contribute to training materials, Contribute to user support, Participate in agile delivery", "teamCollaboration" : "Global team; Business stakeholders", "projectManagementSkills" : [ "Agile delivery practices" ], "domainKnowledge" : "Enterprise systems; Data platforms; AI-enabled capabilities; GenAI use cases; Intelligent workflows", "domainList" : [ "enterprise-systems", "data-platforms", "ai-enabled-capabilities", "genai-use-cases", "intelligent-workflows" ], "domainSpecificKnowledge" : [ "Enterprise systems", "Data platforms", "AI-enabled capabilities", "GenAI use cases", "Intelligent workflows" ], "toolProficiency" : [ "Power BI" ], "documentationSkills" : "Documentation", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Improve operational efficiency; Enable better decision-making; Deliver measurable business value", "qualificationsBasic" : "Foundational software development skills, Understanding of data concepts, Basic analytics understanding, Problem-solving ability, Basic SDLC knowledge, Basic version control knowledge, Degree in related technical discipline, Demonstrable foundation in software development, Exposure to real-world working environments", "qualificationsPreferred" : "Experience with Power Platform, Experience with Power BI, Cloud platforms exposure, AI / ML concepts familiarity, APIs experience, Automation tools experience, Experience applying technology to solve problems, Relevant certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths. Visit us at - [www.smiths.com](https://www.smiths.com/) Job Purpose: The Graduate Software Engineer will support the development, enhancement and optimisation of enterprise systems, data platforms and AI-enabled capabilities across IT. Working within a global team, the role focuses on applying software engineering principles to real business challenges—leveraging data, analytics, automation and emerging AI technologies to improve operational efficiency, enable better decision-making and deliver measurable business value. This role blends hands-on engineering with business engagement, supporting the delivery of scalable solutions, proof-of-concepts and continuous improvements across platforms and processes. This is a 2 year Fixed Term Contract starting the end of September to be based from our Birmingham site, working Monday to Friday. Assessment days for this position are scheduled to take place on 8th and 9th July at our Birmingham office. Duties: * Contribute to the design, development and enhancement of software solutions across enterprise platforms and systems * Support delivery of data, analytics and AI use cases, including data preparation, transformation, testing and validation of outputs * Develop dashboards and visualisations (e.g. Power BI) to provide actionable insights and track performance outcomes * Assist in building and deploying AI and automation solutions, including GenAI use cases, process automation and intelligent workflows * Work on integration and optimisation of systems to unlock value across the organisation * Support data governance and data quality initiatives, ensuring reliable and trusted datasets * Collaborate with engineers, data specialists and business stakeholders to translate requirements into deliverable solutions * Assist with testing, deployment, monitoring and continuous improvement of solutions in production environments * Help identify opportunities for automation and efficiency improvements across IT and the business * Contribute to documentation, training materials and user support to drive adoption of solutions * Participate in agile delivery practices * You should note that your title and job description are not exhaustive, and the Company may require you from time to time to undertake other reasonable tasks within your capacity. ## Qualifications Skills & Experience Required: Essential: * Foundational software development skills (e.g. Python, Java, or similar) * Understanding of data concepts and basic analytics * Strong problem-solving ability * Ability to communicate and collaborate effectively * Interest in AI, automation and data platforms * Basic SDLC and version control knowledge Desirable: * Experience with Power Platform / Power BI * Exposure to cloud platforms (Azure, AWS) * Familiarity with AI / ML concepts * Experience with APIs or automation tools . Qualifications Essential: * Degree in a related technical discipline (or equivalent practical experience) * Demonstrable foundation in software development (through academic work, projects or practical experience) * Exposure to real-world working environments (e.g. internships, placements, part-time roles or project-based experience) Desirable: * Experience applying technology to solve practical problems (e.g. academic projects, hackathons, personal initiatives) * Relevant certifications aligned to cloud, data or AI technologies (e.g. Azure Fundamentals) ## Additional Information Diversity & Inclusion: We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers)) We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers))", "summaryDescription" : "Graduate Software Engineer (Data, Analytics, Automation & AI) at Smiths Group. Skills: Data Engineering, AI, Automation, Software Development. Support development of software solutions. Support enhancement of software solutions", "postedDate" : "2026-06-15T08:28:37.000", "createdAt" : "2026-06-16T01:36:20.757", "lastUpdated" : "2026-06-16T10:51:56.509", "ingestTimestamp" : "2026-06-16T01:36:20.757", "mongoId" : "6a3078d3f292fd229c02d070", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data preparation", "Data transformation", "Performance tracking", "Process automation", "System optimisation", "Dataset validation", "Solution deployment", "Efficiency improvements", "Data Engineering", "AI", "Automation", "Software Development", "Software engineering principles", "Business engagement", "System integration", "Data governance", "Data quality", "Agile delivery practices", "Enterprise systems", "Data platforms", "AI-enabled capabilities", "GenAI use cases", "Intelligent workflows", "Azure Fundamentals", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058fbf292fd229cf44950", "title" : "Graduate Software Engineer (Data, Analytics, Automation & AI)", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 32000.0, "max" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Graduate Software Engineer in Birmingham, UK, adjusted for the manufacturing industry and company size." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "certifications" : [ "Azure Fundamentals" ], "timestamp" : "2026-06-16T09:11:05.492", "fingerprint" : "628afe091bda181bff61f6bbdffb6cd88899edb2d6cb00ec3fb81b7d71a61467", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132141649-graduate-software-engineer-data-analytics-automation-ai-2-years-ftc", "externalId" : "744000132141649", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.4948994,-1.8518439" } ], "locationText" : "Birmingham, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Java, Data platforms, AI technologies, Power BI, GenAI, APIs, Automation tools", "professionalSkills" : [ "Software engineering principles", "Business engagement", "System integration", "Process optimisation" ], "hardSkillsList" : [ "Data preparation", "Data transformation", "Performance tracking", "System optimisation", "Data governance", "Data quality", "Testing", "Deployment", "Monitoring", "Continuous improvement", "Documentation", "Training materials", "User support" ], "softSkillsList" : [ "Curious minds" ], "hardSkills" : [ { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "System optimisation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Deployment", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Training materials", "level" : "intermediate" }, { "name" : "User support", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious minds" } ], "majorSkills" : "Data Engineering, Analytics, Automation, AI", "majorSkillsList" : [ "Data Engineering", "Analytics", "Automation", "AI" ], "coreResponsibilities" : "Support development of software solutions, Support enhancement of software solutions, Support optimisation of software solutions, Support delivery of data use cases, Support delivery of analytics use cases, Support delivery of AI use cases, Develop dashboards, Develop visualisations, Assist building AI solutions, Assist deploying AI solutions, Assist building automation solutions, Assist deploying automation solutions, Work on system integration, Work on system optimisation, Support data governance, Support data quality, Collaborate with engineers, Collaborate with data specialists, Collaborate with business stakeholders, Assist with testing, Assist with deployment, Assist with monitoring, Assist with continuous improvement, Help identify automation opportunities, Help identify efficiency improvements, Contribute to documentation, Contribute to training materials, Contribute to user support, Participate in agile delivery", "teamCollaboration" : "Global team; Business stakeholders; Engineers; Data specialists", "projectManagementSkills" : [ "Agile delivery practices" ], "domainKnowledge" : "Enterprise systems; Data platforms; AI-enabled capabilities; Operational efficiency; Business value; Scalable solutions; Proof-of-concepts; Cloud platforms; AI / ML concepts; APIs; Automation tools", "domainList" : [ "enterprise-systems", "data-platforms", "ai-enabled-capabilities", "operational-efficiency", "business-value", "scalable-solutions", "proof-of-concepts", "cloud-platforms", "ai-ml-concepts", "apis", "automation-tools" ], "domainSpecificKnowledge" : [ "Enterprise systems", "Data platforms", "AI-enabled capabilities", "Operational efficiency", "Business value", "Scalable solutions", "Proof-of-concepts", "Cloud platforms", "AI / ML concepts", "APIs", "Automation tools" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Communicate effectively", "problemSolvingSkills" : "Problem-solving ability", "outcomesObjectives" : "Improve operational efficiency; Enable better decision-making; Deliver measurable business value", "qualificationsBasic" : "Foundational software development skills, Understanding of data concepts, Basic analytics understanding, Problem-solving ability, Basic SDLC knowledge, Basic version control knowledge, Degree in related technical discipline, Demonstrable foundation in software development, Exposure to real-world working environments", "qualificationsPreferred" : "Experience with Power Platform, Experience with Power BI, Exposure to cloud platforms, Familiarity with AI / ML concepts, Experience with APIs, Experience with automation tools, Experience applying technology to solve problems, Relevant certifications aligned to cloud, Relevant certifications aligned to data, Relevant certifications aligned to AI technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths. Visit us at - [www.smiths.com](https://www.smiths.com/) Job Purpose: The Graduate Software Engineer will support the development, enhancement and optimisation of enterprise systems, data platforms and AI-enabled capabilities across IT. Working within a global team, the role focuses on applying software engineering principles to real business challenges—leveraging data, analytics, automation and emerging AI technologies to improve operational efficiency, enable better decision-making and deliver measurable business value. This role blends hands-on engineering with business engagement, supporting the delivery of scalable solutions, proof-of-concepts and continuous improvements across platforms and processes. This is a 2 year Fixed Term Contract starting the end of September to be based from our Birmingham site, working Monday to Friday. Assessment days for this position are scheduled to take place on 8th and 9th July at our Birmingham office. Duties: * Contribute to the design, development and enhancement of software solutions across enterprise platforms and systems * Support delivery of data, analytics and AI use cases, including data preparation, transformation, testing and validation of outputs * Develop dashboards and visualisations (e.g. Power BI) to provide actionable insights and track performance outcomes * Assist in building and deploying AI and automation solutions, including GenAI use cases, process automation and intelligent workflows * Work on integration and optimisation of systems to unlock value across the organisation * Support data governance and data quality initiatives, ensuring reliable and trusted datasets * Collaborate with engineers, data specialists and business stakeholders to translate requirements into deliverable solutions * Assist with testing, deployment, monitoring and continuous improvement of solutions in production environments * Help identify opportunities for automation and efficiency improvements across IT and the business * Contribute to documentation, training materials and user support to drive adoption of solutions * Participate in agile delivery practices * You should note that your title and job description are not exhaustive, and the Company may require you from time to time to undertake other reasonable tasks within your capacity. ## Qualifications Skills & Experience Required: Essential: * Foundational software development skills (e.g. Python, Java, or similar) * Understanding of data concepts and basic analytics * Strong problem-solving ability * Ability to communicate and collaborate effectively * Interest in AI, automation and data platforms * Basic SDLC and version control knowledge Desirable: * Experience with Power Platform / Power BI * Exposure to cloud platforms (Azure, AWS) * Familiarity with AI / ML concepts * Experience with APIs or automation tools . Qualifications Essential: * Degree in a related technical discipline (or equivalent practical experience) * Demonstrable foundation in software development (through academic work, projects or practical experience) * Exposure to real-world working environments (e.g. internships, placements, part-time roles or project-based experience) Desirable: * Experience applying technology to solve practical problems (e.g. academic projects, hackathons, personal initiatives) * Relevant certifications aligned to cloud, data or AI technologies (e.g. Azure Fundamentals) ## Additional Information Diversity & Inclusion: We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers)) We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers))", "summaryDescription" : "Graduate Software Engineer (Data, Analytics, Automation & AI) at Smiths Group. Skills: Data Engineering, Analytics, Automation, AI. Support development of software solutions. Support enhancement of software solutions", "postedDate" : "2026-06-15T08:28:37.000", "createdAt" : "2026-06-15T23:57:47.260", "lastUpdated" : "2026-06-16T09:11:05.492", "ingestTimestamp" : "2026-06-15T23:57:47.260", "mongoId" : "6a3058fbf292fd229cf44950", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data preparation", "Data transformation", "Performance tracking", "System optimisation", "Data governance", "Data quality", "Testing", "Deployment", "Monitoring", "Continuous improvement", "Documentation", "Training materials", "User support", "Curious minds", "Data Engineering", "Analytics", "Automation", "AI", "Software engineering principles", "Business engagement", "System integration", "Process optimisation", "Agile delivery practices", "Enterprise systems", "Data platforms", "AI-enabled capabilities", "Operational efficiency", "Business value", "Scalable solutions", "Proof-of-concepts", "Cloud platforms", "AI / ML concepts", "APIs", "Automation tools", "Azure Fundamentals", "Power BI" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff8", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in Healthcare in the United States, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T10:08:43.558", "fingerprint" : "ae591e867672128ba2c968e9dc7e6a96f51c6d371508a188590130a04366d149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247280008", "externalId" : "5247280008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial instruments, Risk methodologies, Regulatory frameworks", "majorSkillsList" : [ "Financial instruments", "Risk methodologies", "Regulatory frameworks" ], "coreResponsibilities" : "Analyze financial data, Develop analytical models, Monitor market trends, Assess financial risks, Ensure regulatory compliance, Prepare financial reports, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement", "domainKnowledge" : "Financial instruments; Banking; Investment management; Trading; Risk management; Compliance; Insurance; Fintech; Accounting; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "banking", "investment-management", "trading", "risk-management", "compliance", "insurance", "fintech", "accounting", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Financial reporting; Regulatory documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For What You Will Do OPTIONAL: What a Typical Day Looks Like What You Need to Succeed OPTIONAL: What Helps You Stand Out What We Offer To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant. Skills: Financial instruments, Risk methodologies, Regulatory frameworks. Analyze financial data. Develop analytical models", "postedDate" : "2026-06-15T23:22:22.690", "createdAt" : "2026-06-15T23:22:22.690", "lastUpdated" : "2026-06-16T10:08:43.558", "ingestTimestamp" : "2026-06-15T23:22:22.690", "mongoId" : "6a305abef292fd229cf54ff8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Financial instruments", "Risk methodologies", "Regulatory frameworks", "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 55, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f66f292fd229c058cc2", "title" : "Technical Program Manager II, Infrastructure and Capacity, Platforms and Devices", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a mid-seniority Technical Program Manager II at a large technology company in Mountain View, California, adjusted for industry and company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T13:17:40.449", "fingerprint" : "736a1ce3510a99677eaa3df27b75955f2538e5664428af8f96db12de27d5f79e", "source" : "google", "language" : "en", "externalId" : "102137565053625030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Infrastructure, Capacity planning, Distributed systems", "professionalSkills" : [ "Program management", "Stakeholder management", "Cross-functional leadership" ], "hardSkillsList" : [ "Capacity management", "Infrastructure planning" ], "hardSkills" : [ { "name" : "Capacity management", "level" : "intermediate" }, { "name" : "Infrastructure planning", "level" : "intermediate" } ], "majorSkills" : "Infrastructure, Capacity planning, Program management", "majorSkillsList" : [ "Infrastructure", "Capacity planning", "Program management" ], "coreResponsibilities" : "Manage infrastructure and capacity planning programs, Define program requirements and success metrics, Identify and mitigate program risks, Coordinate with engineering teams, Communicate program status to stakeholders, Drive program execution and delivery", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholder communication", "projectManagementSkills" : [ "Program management", "Agile methodologies" ], "domainKnowledge" : "Infrastructure; Capacity planning; Large-scale systems", "domainList" : [ "infrastructure", "capacity-planning", "large-scale-systems" ], "domainSpecificKnowledge" : [ "Infrastructure", "Capacity planning", "Large-scale systems" ], "communicationSkills" : "Program status reporting", "documentationSkills" : "Program documentation", "problemSolvingSkills" : "Risk mitigation", "qualificationsBasic" : "5+ years of experience in program management, Bachelor's degree or equivalent practical experience", "qualificationsPreferred" : "Master's degree or MBA, Experience with infrastructure and capacity planning, Experience with large-scale distributed systems", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Technical Program Manager II, Infrastructure and Capacity, Platforms and Devices at Google. Skills: Infrastructure, Capacity planning, Program management. Manage infrastructure and capacity planning programs. Define program requirements and success metrics", "postedDate" : "2026-06-16T01:50:09.806", "createdAt" : "2026-06-16T01:50:09.806", "lastUpdated" : "2026-06-16T13:17:40.449", "ingestTimestamp" : "2026-06-16T01:50:09.806", "mongoId" : "6a307f66f292fd229c058cc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Capacity management", "Infrastructure planning", "Infrastructure", "Capacity planning", "Program management", "Stakeholder management", "Cross-functional leadership", "Agile methodologies", "Large-scale systems" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2e97ed74d8ee00a0e1b119", "title" : "IT Data Leaders: 15-Minute Survey On Analytics Platforms", "company" : "Terac", "industry" : "Participant Recruitment", "salary" : { "min" : 200.0, "max" : 200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T00:44:09.156", "fingerprint" : "9f66da3e727e738c8b814c830c0ebee4568b1fd274209ab27f5c0d1a83dfeadf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/terac/9c3d0698-691c-4393-8065-c1515ee806b5/application", "externalId" : "9c3d0698-691c-4393-8065-c1515ee806b5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Snowflake, Databricks, BigQuery, Power BI", "hardSkillsList" : [ "Data architecture", "Analytics platforms", "Cloud data warehousing", "Business intelligence adoption" ], "hardSkills" : [ { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Analytics platforms", "level" : "intermediate" }, { "name" : "Cloud data warehousing", "level" : "intermediate" }, { "name" : "Business intelligence adoption", "level" : "intermediate" } ], "majorSkills" : "Data architecture, Analytics platforms", "majorSkillsList" : [ "Data architecture", "Analytics platforms" ], "coreResponsibilities" : "Complete a 15-minute structured survey, Detail experience evaluating data platforms, Provide feedback on analytics tools, Record brief video responses", "domainKnowledge" : "Cloud data warehousing; Enterprise analytics platforms", "domainList" : [ "cloud-data-warehousing", "enterprise-analytics-platforms" ], "domainSpecificKnowledge" : [ "Cloud data warehousing", "Enterprise analytics platforms" ], "toolProficiency" : [ "Snowflake", "Databricks", "BigQuery", "Power BI" ], "specialRequirements" : "Camera access required", "qualificationsBasic" : "Senior practitioner or decision-maker, Hands-on experience with major enterprise cloud data platforms, Comfortable completing a desktop-based survey with camera access", "qualificationsPreferred" : "Camera access during the session", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHAT WE'RE RESEARCHING We're running a paid study evaluating modern data architecture and enterprise analytics platforms. The goal is to capture firsthand perspectives from IT professionals who manage or decide on technical tooling. Your input will help us map current trends in cloud data warehousing and business intelligence adoption. HOW IT WORKS You will complete a 15-minute remote survey from your desktop computer. The session will ask about your experience evaluating, implementing, and managing major data platforms in an enterprise environment. We request camera access during the session to verify participation and capture any brief video responses. You will navigate through a series of structured questions detailing your technical workflow and platform preferences. WHO THIS IS FOR We are looking for experienced IT and data practitioners who hold decision-making or senior technical roles. We welcome data architects, analytics directors, lead data engineers, and IT infrastructure managers. You should have direct experience using major cloud platforms like Snowflake, Databricks, BigQuery, or Power BI in your day-to-day operations. WHAT YOU'LL DO - Complete a 15-minute structured survey from your desktop computer - Detail your experience evaluating enterprise data and analytics platforms - Provide specific feedback on the analytics tools you currently use - Record brief video responses using your web camera if prompted WHO SHOULD APPLY - Senior practitioner or decision-maker in the IT or data analytics field - Hands-on experience with major enterprise cloud data platforms - Comfortable completing a desktop-based survey with camera access COMPENSATION $200 one-time READY TO PARTICIPATE? Start your paid interview now https://terac.com/interview/start/r/ed2ec151-8f27-4dbc-a88b-9011ad52ca61?utm_source=ashby_listing_description ABOUT TERAC Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets. Learn more at terac.com https://terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.", "summaryDescription" : "IT Data Leaders: 15-Minute Survey On Analytics Platforms at Terac. Skills: Data architecture, Analytics platforms. Complete a 15-minute structured survey. Detail experience evaluating data platforms", "createdAt" : "2026-06-14T22:09:01.624", "lastUpdated" : "2026-06-16T00:44:09.156", "ingestTimestamp" : "2026-06-14T22:09:01.624", "mongoId" : "6a2e97ed74d8ee00a0e1b119", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 200, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data architecture", "Analytics platforms", "Cloud data warehousing", "Business intelligence adoption", "Enterprise analytics platforms", "Snowflake", "Databricks", "BigQuery", "Power BI" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff9", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Healthcare industry in the United States, adjusted for seniority and company size." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T08:30:37.574", "fingerprint" : "35bff4604600380506ad472704ca6695e1cda3711a8c2e1bbb9ad61fb38f258e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247278008", "externalId" : "5247278008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For: As the Commercial Strategy and Analytics Manager at Datavant, you will play a crucial role within our Commercial Operations team. Your primary responsibility will be to support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. Your role requires a strong technical background, excellent analytical skills, and the ability to collaborate effectively in a fast-paced environment. What You Will Do: Drive commercial strategy through: Commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus Building scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders Analyzing and synthesizing market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations Conducting market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization Help refine and scale commercial operations by: Partnering cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities Designing and operationalizing standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams Driving adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution Continuously improving reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact Improve commercial planning and business performance by: Supporting forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs Monitoring commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities Developing methodologies and tracking mechanisms that measure business performance, account health, and strategic progress Translating analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities What You Need to Succeed: Bachelor’s degree in Business, Analytics, Information Technology, Economics, Engineering, or a related field; 15 years of equivalent experience will be considered in lieu of Bachelor’s degree Minimum of 7 years of experience in commercial strategy, business intelligence, revenue operations, analytics, management consulting, or a related role Experience supporting commercial planning, forecasting, account strategy, client success operations, and/or revenue performance initiatives Strong analytical skills with experience interpreting commercial, client, operational, and financial data to drive business decisions and strategic recommendations Experience developing dashboards, reporting frameworks, and performance metrics that support executive decision-making Proven ability to synthesize complex data into clear insights, action plans, and business recommendations Strong understanding of forecasting methodologies, commercial performance tracking, and operational planning processes Experience partnering cross-functionally with proven ability to influence stakeholders and drive alignment across teams in a fast-paced environment Strong project management, communication, and execution skills with the ability to manage multiple high-priority initiatives simultaneously Experience improving operational processes, reporting workflows, and analytics adoption across organizations What Helps You Stand Out: Master’s Degree in relevant field We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $120,000—$140,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant", "postedDate" : "2026-06-15T23:23:23.617", "createdAt" : "2026-06-15T23:23:23.617", "lastUpdated" : "2026-06-16T08:30:37.574", "ingestTimestamp" : "2026-06-15T23:23:23.617", "mongoId" : "6a305abef292fd229cf54ff9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bce74d8ee00a0914aed", "title" : "Product Manager - Head of Channels and Platforms", "company" : "Janes", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Product Manager in Arlington, United States, adjusted for the technology industry and company size." }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States", "Croydon", "England", "United Kingdom" ], "timestamp" : "2026-06-16T03:01:47.844", "fingerprint" : "210d6ad9acad1dfccf387abbe31dc62c8b1b0de9e2c541ac0fb31b07eb3dc6e0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/janes/jobs/4821493101?gh_jid=4821493101", "externalId" : "4821493101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "Platform strategy", "Channel strategy", "Product requirements", "Delivery plans", "Product standards", "Product governance", "Commercial goals" ], "hardSkillsList" : [ "User stories" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "User stories", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Platform product management, Channel strategy, Product roadmap", "majorSkillsList" : [ "Platform product management", "Channel strategy", "Product roadmap" ], "coreResponsibilities" : "Define platform strategy, Own platform strategy, Evolve platform strategy, Define channel strategy, Own channel strategy, Evolve channel strategy, Ensure products are scalable, Ensure products are reliable, Deliver value to customers, Define product vision, Own product vision, Define product roadmap, Own product roadmap, Drive customer renewal rates, Drive sales, Drive satisfaction, Use customer feedback, Use usage data, Use business metrics, Guide prioritisation, Guide continuous improvement, Ensure platform capabilities support products, Ensure platform capabilities support teams, Ensure platform capabilities support customers, Deliver consistent experience, Deliver reliable experience, Deliver intuitive experience, Translate strategy into requirements, Translate strategy into delivery plans, Establish product standards, Establish product governance, Establish ways of working, Support Sales, Support Customer Success, Enable commercial goals, Communicate performance, Communicate progress, Communicate risks, Represent strategy in forums, Contribute to Board discussions", "teamCollaboration" : "Cross-functional collaboration; Partner with Engineering; Work with Technology; Work with Research; Work with Sales; Work with Customer Success; Align with business strategy; Align with customer needs; Align with growth objectives; Influence senior stakeholders; Influence executive stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Defence information; Security information; Geopolitical information; Digital platforms; System integrations; Actionable intelligence; B2B products; Data products; Intelligence products; SaaS products", "domainList" : [ "defence-information", "security-information", "geopolitical-information", "digital-platforms", "system-integrations", "actionable-intelligence", "b2b-products", "data-products", "intelligence-products", "saas-products" ], "domainSpecificKnowledge" : [ "Defence information", "Security information", "Geopolitical information", "Digital platforms", "System integrations", "Actionable intelligence", "B2B products", "Data products", "Intelligence products", "SaaS products" ], "communicationSkills" : "Articulate strategy; Articulate trade-offs", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Drive customer renewal rates; Drive sales; Drive satisfaction", "qualificationsBasic" : "10+ years Product Management, Ownership of online and offline channels, Define and deliver product strategy, Define and deliver product roadmaps, Platform product management, Customer migrations off technical debt, Retiring platforms, Work closely with Engineering, Write user stories, Implement with Engineering, Stakeholder management skills, Influence at senior and executive level, Use data, metrics, customer insights, Inform prioritisation, Inform decision-making, Excellent communication skills, Articulate strategy, Articulate trade-offs, High attention to detail, Think strategically, Think long term", "qualificationsPreferred" : "B2B product experience, Data product experience, Intelligence product experience, SaaS product experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Janes empowers military, government, and defence leaders to act with confidence in an increasingly complex world. Our trusted defence, security, and geopolitical information delivered through seamless digital platforms and system integrations—turns overwhelming data into clear, actionable intelligence and insight. By filling critical information gaps, Janes helps customers analyse threats, accelerate decisions, and stay ahead of emerging challenges Job purpose: The purpose of the Head of Platforms and Channels Product Manager role is to define, own, and evolve Janes’ platform and distribution channel strategy and requirements to ensure our products are scalable, reliable, and consistently deliver value to customers across all touchpoints. This role is accountable for the product vision and roadmap of core platforms and customer-facing channels, driving customer renewal rates, sales, and satisfaction. The Head of Platforms and Channels Product Manager is a senior member of the Product team, reporting to the Chief Product Officer (CPO). The role works closely with Technology, Research, Sales, and Customer Success to align platform capabilities and channel experiences with business strategy, customer needs, and long-term growth objectives. How you will contribute at Janes: Success in the Head of Platforms and Channels Product Manager role includes: Using customer feedback, usage data, and business metrics to guide prioritisation and continuous improvement Defining and owning the vision and roadmap for Janes’ core platforms and customer channels, aligned with company strategy Leading discovery and prioritisation to ensure platform capabilities support multiple products, teams, and customers at scale Ensuring customer-facing channels (including online and offline delivery) deliver a consistent, reliable, and intuitive experience Partnering closely with Engineering to translate strategy into clear, actionable product requirements and delivery plans Establishing product standards, governance, and ways of working for platforms and channels across the Product organization Supporting Sales and Customer Success by ensuring platforms and channels enable commercial goals such as renewals, upsell, and retention Communicating platform and channel performance, progress, and risks clearly to the CPO and senior stakeholders Representing platform and channel strategy in leadership forums and contributing to Board-level product discussions as required The ideal skills and experience for this role are: Significant experience (10+ years) in Product Management, including ownership of online and offline channels Proven experience defining and delivering product strategy and roadmaps for complex, multi-team environments Strong understanding of platform product management, including scalability, reuse, and internal customer needs Experience in customer migrations off technical debt and retiring platforms Experience working closely with Engineering teams, writing user stories and working with Engineering to implement. Strong stakeholder management skills, with the ability to influence at senior and executive level (including the CPO and CTO) Ability to use data, metrics, and customer insights to inform prioritisation and decision-making Excellent communication skills, including the ability to clearly articulate strategy and trade-offs High attention to detail combined with the ability to think strategically and long term Experience in B2B, data, intelligence, or SaaS products is highly desirable Benefits 27 days of annual leave Healthy half (0.5 day leave every 6 months for wellbeing) Leave- study/ volunteer/ reserve forces Pension plan (6% employer contribution) Private medical insurance – BUPA Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay) Paternity (100% of basic salary for 6 weeks) Life cover Access to an on-site gym Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this. We will always consider part time or flexible applications Job Applicants - Privacy Policy Know your rights document", "summaryDescription" : "Product Manager - Head of Channels and Platforms at Janes. Skills: Platform product management, Channel strategy, Product roadmap. Define platform strategy. Own platform strategy", "postedDate" : "2026-06-14T19:58:32.116", "createdAt" : "2026-06-14T19:58:32.116", "lastUpdated" : "2026-06-16T03:01:47.844", "ingestTimestamp" : "2026-06-14T19:58:32.116", "mongoId" : "6a2c6bce74d8ee00a0914aed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "User stories", "Leadership", "Platform product management", "Channel strategy", "Product roadmap", "Product strategy", "Roadmap development", "Platform strategy", "Product requirements", "Delivery plans", "Product standards", "Product governance", "Commercial goals", "Roadmap planning", "Defence information", "Security information", "Geopolitical information", "Digital platforms", "System integrations", "Actionable intelligence", "B2B products", "Data products", "Intelligence products", "SaaS products" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f7a8", "title" : "ITSM / Major Incident & Operations Specialist", "company" : "Mercedes-Benz Research & Development India", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for ITSM/Major Incident & Operations Specialist in Bangalore, India, adjusted for Seniority and the Technology industry." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-15T09:12:43.103", "fingerprint" : "813d7e4f9e5c181e3c080e9d53747be22d5851ea8e929a36d0b86e170141f84c", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=890156", "externalId" : "890156", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 9, "experienceLevel" : "Mid", "technicalSkills" : "ITSM, IT Operations, ITIL, Middleware", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Service performance reporting", "Enterprise observability", "Incident categorization", "Incident prioritization", "Problem management", "Change management", "Risk assessment", "Impact analysis" ], "hardSkillsList" : [ "Major incident management", "Root cause analysis", "Service performance KPIs", "Trend analysis", "Release management", "Change governance" ], "softSkillsList" : [ "Stakeholder management", "Composed under pressure", "Effective under pressure" ], "hardSkills" : [ { "name" : "Major incident management", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Service performance KPIs", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Change governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Stakeholder management" }, { "name" : "Composed under pressure" }, { "name" : "Effective under pressure" } ], "majorSkills" : "Major Incident Management, IT Service Operations, ITSM Governance", "majorSkillsList" : [ "Major Incident Management", "IT Service Operations", "ITSM Governance" ], "coreResponsibilities" : "Participate in on-call rotations, Validate major incident triggers, Classify major incident triggers, Lead major incident bridge calls, Provide communication to stakeholders, Coordinate cross-functional teams, Drive incident resolution, Publish Root Cause Analysis, Capture lessons learned, Lead daily operational coordination, Maintain incident categorization standards, Enforce incident prioritization standards, Ensure ticket quality, Ensure ticket accuracy, Ensure ticket consistency, Coordinate structured support engagement, Facilitate operational review meetings, Facilitate service performance meetings, Publish user communications, Govern middleware operational activities, Govern middleware changes, Coordinate training schedules, Track service performance KPIs, Monitor service performance KPIs, Perform trend analysis, Prepare ITSM performance reports, Publish ITSM performance reports, Ensure ITSM governance adherence, Ensure operational compliance, Manage change lifecycle, Ensure change quality, Govern patching activities, Govern security updates, Govern production change activities, Support risk assessment, Support impact analysis", "teamCollaboration" : "Cross-functional teams; Cross-region coordination", "projectManagementSkills" : [ "Change management" ], "domainKnowledge" : "ITIL processes; Service lifecycle management; Enterprise-scale IT; Middleware operations", "domainList" : [ "itil-processes", "service-lifecycle-management", "enterprise-scale-it", "middleware-operations" ], "domainSpecificKnowledge" : [ "ITIL processes", "Service lifecycle management", "Enterprise-scale IT", "Middleware operations" ], "toolProficiency" : [ "Monitoring tools", "Observability tools" ], "communicationSkills" : "Stakeholder communication; Incident communication; Service updates communication", "documentationSkills" : "Documentation capabilities; Reporting capabilities; Root Cause Analysis documentation", "problemSolvingSkills" : "Problem management; Trend analysis; Risk assessment; Impact analysis", "specialRequirements" : "On-call rotations, 24/7 enterprise operations support, 24/7 IT operations support", "outcomesObjectives" : "SLA compliance; P1 reduction; Resolution times reduction", "qualificationsBasic" : "6 to 9 years ITSM experience, 6 to 9 years IT Operations experience, ITIL processes knowledge, Service lifecycle management knowledge, Enterprise-scale IT environments experience", "qualificationsPreferred" : "Enterprise monitoring tools experience, Observability tools experience", "remoteFriendly" : false, "rawDescription" : "Job Title ITSM –Major Incident & Operations Specialist Location Bengaluru, India Mercedes-Benz Research & Development India (MBRDI) About Mercedes -Benz Research & Development India (MBRDI) Mercedes-Benz Research & Development India (MBRDI) is the largest research and development center of Mercedes -Benz Group AG outside Germany. We work at the forefront of digital innovation, enterprise IT, connected platforms, and next -generation mobility solutions, enabling stable and secure IT operations across global Mercedes -Benz businesses. Role Objective The ITSM / Major Incident & Operations Specialist plays a critical role in ensuring stable, resilient, and compliant IT service operations. The role leads major incident management, operational coordination, governance activities, and service performance reporting, while supporting enterprise observability and 24/7 IT operations. Key Responsibilities Major Incident Management (MIM) • Participate in on-call rotationssupporting 24/7 enterprise operations • Validate and classify major incident triggersin line with ITIL guidelines • Lead and operate major incident bridge calls during high-impact incidents • Provide timely, clear, and structured communication to stakeholders and leadership • Coordinate cross -functional teams to drive incident resolution • Publish Root Cause Analysis (RCA) and capture lessons learned IT Service Operations & Coordination • Lead daily operational coordination across IT service, infrastructure, and application teams • Maintain and enforce incident categorization and prioritization standards • Ensure quality, accuracy, and consistency of incident, problem, and change tickets • Coordinate structured support engagement across L1 / L2 / L3 teams • Facilitate operational review and service performance meetings • Publish user communicationsrelated to incidents, outages, and service updates • Govern middleware-related operational activities and changes • Coordinate training schedulesfor internal IT environments and operational teams Governance, Compliance & KPI Reporting • Track and monitor service performance KPIs(SLA compliance, P1 reduction, resolution times) • Perform trend analysisto support proactive problem management • Prepare and publish monthly and periodic ITSM performance reports • Ensure adherence to ITSM governance frameworks and operational compliance requirements Release & Change Governance • Manage end-to-end lifecycle of Standard, Normal, and Emergency changes • Ensure change quality through defined governance and control frameworks • Govern patching, security updates, and production change activities • Support risk assessment and impact analysis for enterprise changes Required Skills & Experience Professional Experience • 6 to 9 yearsof hands-on experience in ITSM and IT Operations • Strong practical knowledge of ITIL processesand service lifecycle management • Experience working in enterprise-scale IT environments Technical & Functional Skills • Hands-on experience with enterprise monitoring and observability tools • Proven ability to manage major incidents, escalations, and business -critical outages • Strong analytical, documentation, and reporting capabilities Behavioral & Communication Skills • Excellent communication and stakeholder management skills • Ability to remain composed and effective under pressure in high-impact situations • Strong collaboration skills for cross -team and cross -region coordination • Willingness to support 24/7 operational models Diversity & Inclusion Mercedes-Benz Research & Development India is committed to building an inclusive and diverse workplace. We welcome applications from all qualified candidates and provide equal opportunities regardless of gender, age, disability, ethnicity, or b Job Title ITSM –Major Incident & Operations Specialist Location Bengaluru, India Mercedes-Benz Research & Development India (MBRDI) About Mercedes -Benz Research & Development India (MBRDI) Mercedes-Benz Research & Development India (MBRDI) is the largest research and development center of Mercedes -Benz Group AG outside Germany. We work at the forefront of digital innovation, enterprise IT, connected platforms, and next -generation mobility solutions, enabling stable and secure IT operations across global Mercedes -Benz businesses. Role Objective The ITSM / Major Incident & Operations Specialist plays a critical role in ensuring stable, resilient, and compliant IT service operations. The role leads major incident management, operational coordination, governance activities, and service performance reporting, while supporting enterprise observability and 24/7 IT operations. Key Responsibilities Major Incident Management (MIM) • Participate in on-call rotationssupporting 24/7 enterprise operations • Validate and classify major incident triggersin line with ITIL guidelines • Lead and operate major incident bridge calls during high-impact incidents • Provide timely, clear, and structured communication to stakeholders and leadership • Coordinate cross -functional teams to drive incident resolution • Publish Root Cause Analysis (RCA) and capture lessons learned IT Service Operations & Coordination • Lead daily operational coordination across IT service, infrastructure, and application teams • Maintain and enforce incident categorization and prioritization standards • Ensure quality, accuracy, and consistency of incident, problem, and change tickets • Coordinate structured support engagement across L1 / L2 / L3 teams • Facilitate operational review and service performance meetings • Publish user communicationsrelated to incidents, outages, and service updates • Govern middleware-related operational activities and changes • Coordinate training schedulesfor internal IT environments and operational teams Governance, Compliance & KPI Reporting • Track and monitor service performance KPIs(SLA compliance, P1 reduction, resolution times) • Perform trend analysisto support proactive problem management • Prepare and publish monthly and periodic ITSM performance reports • Ensure adherence to ITSM governance frameworks and operational compliance requirements Release & Change Governance • Manage end-to-end lifecycle of Standard, Normal, and Emergency changes • Ensure change quality through defined governance and control frameworks • Govern patching, security updates, and production change activities • Support risk assessment and impact analysis for enterprise changes Required Skills & Experience Professional Experience • 6 to 9 yearsof hands-on experience in ITSM and IT Operations • Strong practical knowledge of ITIL processesand service lifecycle management • Experience working in enterprise-scale IT environments Technical & Functional Skills • Hands-on experience with enterprise monitoring and observability tools • Proven ability to manage major incidents, escalations, and business -critical outages • Strong analytical, documentation, and reporting capabilities Behavioral & Communication Skills • Excellent communication and stakeholder management skills • Ability to remain composed and effective under pressure in high-impact situations • Strong collaboration skills for cross -team and cross -region coordination • Willingness to support 24/7 operational models Diversity & Inclusion Mercedes-Benz Research & Development India is committed to building an inclusive and diverse workplace. We welcome applications from all qualified candidates and provide equal opportunities regardless of gender, age, disability, ethnicity or background. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "ITSM / Major Incident & Operations Specialist at Mercedes-Benz Research & Development India. Skills: Major Incident Management, IT Service Operations, ITSM Governance. Participate in on-call rotations. Validate major incident triggers", "createdAt" : "2026-06-14T01:28:22.366", "lastUpdated" : "2026-06-15T09:12:43.103", "ingestTimestamp" : "2026-06-14T01:28:22.366", "mongoId" : "6a191e7758b93c861e39f7a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Major incident management", "Root cause analysis", "Service performance KPIs", "Trend analysis", "Release management", "Change governance", "Stakeholder management", "Composed under pressure", "Effective under pressure", "Major Incident Management", "IT Service Operations", "ITSM Governance", "Process management", "Cross-functional coordination", "Vendor management", "Operational metrics", "Resource planning", "Continuous improvement", "Service performance reporting", "Enterprise observability", "Incident categorization", "Incident prioritization", "Problem management", "Change management", "Risk assessment", "Impact analysis", "ITIL processes", "Service lifecycle management", "Enterprise-scale IT", "Middleware operations", "Monitoring tools", "Observability tools" ], "skillCount" : 32, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e2a74d8ee00a0af603b", "title" : "Program Manager III, Industrial Design, Platforms and Devices", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Program Manager III in Mountain View, USA, adjusted for mid-seniority and a large technology company." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T10:10:10.658", "fingerprint" : "58829b0b2139ff4e4cf48d857f84d0e2070556a89d29cb5428129e1af61ac071", "source" : "google", "language" : "en", "externalId" : "72667672621261510", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Manager", "summaryDescription" : "Program Manager III, Industrial Design, Platforms and Devices", "postedDate" : "2026-06-16T01:48:06.390", "createdAt" : "2026-06-16T01:48:06.390", "lastUpdated" : "2026-06-16T10:10:10.658", "ingestTimestamp" : "2026-06-16T01:48:06.390", "mongoId" : "6a210e2a74d8ee00a0af603b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd04d74d8ee00a0a2feb4", "title" : "Continuous Improvement and Automation Manager", "company" : "HDR", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager in the Technology industry in Omaha, United States, adjusted for seniority and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "Lean Six Sigma (Green or Black Belt)" ], "timestamp" : "2026-06-16T06:03:56.537", "fingerprint" : "3c93b28116191579723e19445eca680ec47867c363b81b90d2917c25d43eb587", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783257", "externalId" : "783257", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Power Automate, Agents, Power BI, APIs", "professionalSkills" : [ "Process improvement", "Operations management", "Business transformation", "ITSM Optimization", "AIOps", "Observability", "Technical Debt Reduction", "Automation Delivery", "Automation Strategy", "Change Management", "KPI Management" ], "hardSkillsList" : [ "Lean methodologies", "Six Sigma" ], "hardSkills" : [ { "name" : "Lean methodologies", "level" : "intermediate" }, { "name" : "Six Sigma", "level" : "intermediate" } ], "majorSkills" : "Process Optimization, Automation Strategy, Change Management", "majorSkillsList" : [ "Process Optimization", "Automation Strategy", "Change Management" ], "coreResponsibilities" : "Drive efficiency within GTG, Reimagine how work gets done, Lead identification of process improvement initiatives, Lead scoping of process improvement initiatives, Lead implementation of process improvement initiatives, Streamline Service Desk operations, Implement self-healing systems, Implement automated incident response triggers, Identify legacy processes for consolidation, Identify shadow IT workflows for consolidation, Oversee lifecycle of automation projects, Evaluate business workflows for automation opportunities, Act as a bridge between technical teams, Establish metrics for operational efficiency, Track metrics for operational efficiency, Partner with other GTG groups, Ensure automation projects align with company goals, Prioritize automation projects according to value", "teamCollaboration" : "Partner with Infrastructure teams; Work with diverse groups; Bridge between technical teams; Partner with other GTG groups", "projectManagementSkills" : [ "Project plan", "UAT", "Deployment" ], "domainKnowledge" : "Lean; Six Sigma; ITSM; AIOps; Observability; AI; Workflow integrations", "domainList" : [ "lean", "six-sigma", "itsm", "aiops", "observability", "ai", "workflow-integrations" ], "domainSpecificKnowledge" : [ "Lean", "Six Sigma", "ITSM", "AIOps", "Observability", "AI", "Workflow integrations" ], "toolProficiency" : [ "Power Automate", "Power BI" ], "problemSolvingSkills" : "Translate complex problems into actionable efficiency plans", "specialRequirements" : "Scheduled on-call flexibility, Remain reasonably reachable during off-hours", "outcomesObjectives" : "Reduce Mean Time to Resolve (MTTR); Improve First Call Resolution (FCR); Identify high-ROI opportunities for automation; Track MTR; Track Uptime; Track ROI on automation investments", "qualificationsBasic" : "Associate degree in computer science, information technology or related field, Minimum 5 years in process improvement, operations management, or business transformation, Understanding of automation tools, Understanding of data visualization tools, Ability to translate complex problems into actionable efficiency plans, Exceptional ability to work with diverse groups and lead them toward a common goal", "qualificationsPreferred" : "Understanding and experience in the use of APIs, Bachelor’s degree in computer MIS, Computer Science, or related field, Specific experience with technology systems utilized in multiple disciplines, Exposure to international operations desirable, Certification in Lean Six Sigma (Green or Black Belt)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Continuous improvement and Automation Manager, we'll count on you to: Primary responsibility is to drive efficiency within GTG. This role doesn’t just fix broken processes; it will be responsible to reimagine how work gets done by blending Lean methodologies with modern technology. •Process Optimization: Lead the identification, scoping, and implementation of process improvement initiatives using methodologies like Lean, Six Sigma, etc. •ITSM Optimization: Streamline Service Desk operations to reduce Mean Time to Resolve (MTTR) and improve First Call Resolution (FCR). •AIOps & Observability: Partner with Infrastructure teams to implement self-healing systems and automated incident response triggers. •Technical Debt Reduction: Identify legacy processes or \"shadow IT\" workflows that can be consolidated into enterprise automations. •Automation Delivery: Oversee the lifecycle of automation projects—from initial assessment and project plan to UAT and deployment. •Automation Strategy: Evaluate business workflows to identify high-ROI opportunities for automation (AI, and workflow integrations). •Change Management: Act as a bridge between technical teams, ensuring smooth adoption of new tools and cultural buy-in for the changes. •KPI Management: Establish and track metrics for operational efficiency, such as MTR, Uptime, and ROI on automation investments. •Collaboration: Partner with other GTG groups to ensure automation projects align with broader company goals get prioritized according to value. This on-site role supports 24/7 operations through real-time collaboration. Standard shifts occur within a 6:00 AM – 6:00 PM window, Monday through Friday. Additionally, this position requires scheduled on-call flexibility and the ability to remain reasonably reachable during off-hours for critical business continuity. Preferred Qualifications •Understanding and experience in the use of APIs •Bachelor’s degree in computer MIS, Computer Science, or related field •Specific experience with technology systems utilized in multiple disciplines •Exposure to international operations desirable Required Qualifications •Associate degree in computer science, information technology or related field. Equivalent relevant experience may be substituted in lieu of degree •Minimum 5 years in process improvement, operations management, or business transformation. •Technical Savvy: Understanding of automation tools (e.g., Power Automate, Agents) and data visualization tools (e.g., Power BI). •Methodology: Certification in Lean Six Sigma (Green or Black Belt) is highly preferred. •Analytical Mindset: Ability to translate complex problems into actionable efficiency plans. •Communication: Exceptional ability to work with diverse groups and lead them toward a common goal. ", "summaryDescription" : "Continuous Improvement and Automation Manager at HDR. Skills: Process Optimization, Automation Strategy, Change Management. Drive efficiency within GTG. Reimagine how work gets done", "createdAt" : "2026-06-14T19:12:05.989", "lastUpdated" : "2026-06-16T06:03:56.537", "ingestTimestamp" : "2026-06-14T19:12:05.989", "mongoId" : "6a2cd04d74d8ee00a0a2feb4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Lean methodologies", "Six Sigma", "Process Optimization", "Automation Strategy", "Change Management", "Process improvement", "Operations management", "Business transformation", "ITSM Optimization", "AIOps", "Observability", "Technical Debt Reduction", "Automation Delivery", "KPI Management", "Project plan", "UAT", "Deployment", "Lean", "ITSM", "AI", "Workflow integrations", "Lean Six Sigma (Green or Black Belt)", "Power Automate", "Power BI" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fa63dd4c40e2acd1677560", "title" : "Process and Automation Engineer", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Operations, IT, Support Engineering, Fulfillment Center, no business category", "salary" : { "min" : 140000.0, "max" : 220000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Process and Automation Engineer in Cajamar, Brazil, adjusted for the logistics industry and full-time employment." }, "location" : "Cajamar, Sao Paulo, BRA", "locations" : [ "Cajamar, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T07:13:41.909", "fingerprint" : "c4d64deb69338b49661f378c3833737093dd736c0245e6ce224bd2f89ab37367", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411689/apply", "externalId" : "d8d68add-9b89-495a-b71b-1c645e2074bc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cajamar", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.3561111,-46.8769444" } ], "locationText" : "Cajamar, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Material handling equipment", "professionalSkills" : [ "Financial analysis", "Project management", "Vendor management", "Equipment development", "Commissioning plans" ], "hardSkillsList" : [ "Material handling", "Equipment implementation", "Value engineering" ], "softSkillsList" : [ "Leadership", "Customer focus", "Autonomy" ], "hardSkills" : [ { "name" : "Material handling", "level" : "intermediate" }, { "name" : "Equipment implementation", "level" : "intermediate" }, { "name" : "Value engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Customer focus" }, { "name" : "Autonomy" } ], "majorSkills" : "Process engineering, Automation, Logistics", "majorSkillsList" : [ "Process engineering", "Automation", "Logistics" ], "coreResponsibilities" : "Lead Automation initiatives, Support business case, Support design and deployment, Prepare specifications, Prepare technical detail, Define building requirements, Define equipment requirements, Define material requirements, Define process requirements, Review technical documentation, Ensure documentation meets requirements, Provide technical input, Conduct value engineering, Lead project team", "teamCollaboration" : "Cross-functional teams; Functional business teams; Technical teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Material handling equipment; Logistics", "domainList" : [ "material-handling-equipment", "logistics" ], "domainSpecificKnowledge" : [ "Material handling equipment", "Logistics" ], "communicationSkills" : "English communication", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovative", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "Travel within country, Occasional international travel", "qualificationsBasic" : "Bachelor's degree in engineering, Experience with financial analysis, English-language communication skills, Experience with Material handling equipment, Experience in vendor management, Experience with equipment development, Experience developing commissioning plans", "qualificationsPreferred" : "Master's degree in engineering, Experience with benchmarking equipment, Experience in distribution center environment, Experience maintaining material handling equipment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company, where customers can find and discover anything they might want to buy online. The goal of Amazon Logistics is to build a world class last mile operation. Amazon Logistics aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. Amazon Transportation Services is looking to hire an experienced, innovative, hands-on and customer-obsessed Process and Automation Engineer that can drive expansion in our Middle Mile. As a member of the Emerging Countries Engineering team you will be responsible for designing complex material handling equipment solutions including sorters, vision guided systems and support infrastructure. You will be the single threaded leader of equipment implementation in multiple facilities, owning all steps from planning to implementation. This position requires a background in material handling equipment (preferably in logistics), strong leadership, deep customer focus, strong autonomy and exceptional project management skills. It will involve regular communication with executors and project sponsors at both the country and worldwide level, and requires you to be detail-oriented and comfortable partnering across functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong intuition. This role will be based out of Brazil and involves regular travel within the country as well as occasional international travel. Key job responsibilities - Lead Automation initiatives (autosorters); - Support business case, design and deployment for automation; - Support the preparation of specifications and technical detail to fully define the requirements on building environment, equipment, material, process and services; - Review all technical documentation such as Buildings layouts, traffic plans, flow diagrams, conveyor and equipment layouts, installation details, schedules and budgets to ensure that they meet requirements; - Active involvement in cross functional infrastructure projects, provide technical input and conduct value engineering/ value analysis; - Work independently or lead a project team that could comprise of project managers, project engineers and contractors. Basic Qualifications: - Bachelor's degree in mechanical engineering, electrical engineering, or an equivalent engineering science - Experience with financial analysis and modeling - Experience in English-language communication skills, both written and verbal - Experience working with Material handling equipment (MHE) - Experience in vendor management - Experience with equipment development - Experience developing commissioning plans for complex systems Preferred Qualifications: - Master's degree in engineering, mechanical, operations, supply chain, business administration, or equivalent STEM field - Experience with benchmarking technical equipment and metrics - Experience within a distribution center, logistics, or manufacturing environment - Experience maintaining material handling equipment and integrated systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Process and Automation Engineer at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Process engineering, Automation, Logistics. Lead Automation initiatives. Support business case", "postedDate" : "2026-06-13T19:35:18.561", "createdAt" : "2026-06-13T19:35:18.561", "lastUpdated" : "2026-06-15T07:13:41.909", "ingestTimestamp" : "2026-06-13T19:35:18.561", "mongoId" : "69fa63dd4c40e2acd1677560", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411689/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Material handling", "Equipment implementation", "Value engineering", "Leadership", "Customer focus", "Autonomy", "Process engineering", "Automation", "Logistics", "Financial analysis", "Project management", "Vendor management", "Equipment development", "Commissioning plans", "Material handling equipment" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3083b6f292fd229c071b72", "title" : "Programme Director – CTO Platforms", "company" : "HelloKindred", "industry" : "Information Technology And Services", "salary" : { "min" : 110000.0, "max" : 150000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level roles in Financial Services in Sheffield, UK, adjusted for seniority and contract employment type." }, "location" : "Sheffield, England, United Kingdom", "locations" : [ "Sheffield", "England", "United Kingdom" ], "certifications" : [ "AWS Certified Solutions Architect", "Certified Kubernetes Administrator (CKA)" ], "timestamp" : "2026-06-16T11:25:38.593", "fingerprint" : "819ca3867559c33aa5451d98a60d0de7ab7f8a19c3fbe49cd6d1edcfdc29ef4a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/HelloKindred/3743990013631036-programme-director-cto-platforms", "externalId" : "3743990013631036", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sheffield", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3806626,-1.4702278" } ], "locationText" : "Sheffield, England, United Kingdom", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Go, Java, JavaScript, TypeScript, React, Node.js, AWS, GCP, Azure, Kubernetes, Docker, Terraform, Ansible, SQL, NoSQL, CI/CD, Git", "professionalSkills" : [ "System design", "Architecture design", "Technical leadership", "Mentoring engineers" ], "hardSkillsList" : [ "Cloud architecture", "Infrastructure as Code", "DevOps practices", "Microservices architecture", "API design" ], "hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Microservices architecture", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" } ], "majorSkills" : "Cloud platforms, CI/CD, Containerization, Technical leadership", "majorSkillsList" : [ "Cloud platforms", "CI/CD", "Containerization", "Technical leadership" ], "coreResponsibilities" : "Design scalable infrastructure, Build and maintain CI/CD pipelines, Implement infrastructure as code, Manage cloud environments, Ensure system reliability, Automate operational tasks, Mentor junior engineers, Collaborate with development teams", "teamCollaboration" : "Cross-functional teams; Development teams; Product managers", "projectManagementSkills" : [ "Agile methodologies", "Scrum" ], "domainKnowledge" : "Cloud-native architecture; Distributed systems; Microservices", "domainList" : [ "cloud-native-architecture", "distributed-systems", "microservices" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems", "Microservices" ], "toolProficiency" : [ "Kubernetes", "Docker", "Terraform", "Ansible", "Git", "JIRA" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Architecture diagrams; Technical specifications", "continuousLearning" : "Professional development; Conferences", "innovationCreativity" : "Explore new technologies; Prototype development", "problemSolvingSkills" : "Troubleshooting; Root cause analysis; Performance tuning", "outcomesObjectives" : "Improve system performance; Enhance system reliability; Reduce deployment times", "qualificationsBasic" : "5+ years experience, Bachelor's degree, Experience with cloud platforms, Experience with CI/CD, Experience with containerization", "qualificationsPreferred" : "Master's degree, Experience with Kubernetes, Experience with IaC", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who is HelloKindred? HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid. Our vision is to make work accessible and people’s lives better. We do this by disrupting traditional employment barriers – connecting ambitious talent to flexible opportunities with trusted brands. Anticipated Contract End Date/Length: November 30, 2026 Work Set Up: Hybrid (3 days onsite per week mandatory) Our client in the Information Technology and Services industry is looking for a Programme Director – CTO Platforms to lead the delivery of large-scale technology transformation initiatives across infrastructure, cloud, hosting, and platform services. This role will be responsible for driving end-to-end programme execution, ensuring alignment with enterprise strategy, modernization objectives, operational resilience requirements, and regulatory standards. The ideal candidate will possess extensive experience delivering complex technology programmes within highly regulated environments and managing large-scale budgets, stakeholders, and global delivery teams. What you will do: * Lead the delivery of complex, multi-workstream CTO Platforms programmes across infrastructure, cloud, hosting, and platform services. * Define and execute programme roadmaps aligned with modernization, scalability, resilience, and strategic business objectives. * Manage programme delivery to agreed scope, timelines, quality standards, and business outcomes. * Oversee programme budgets, forecasting activities, and benefits realization initiatives. * Drive alignment across engineering, architecture, site reliability engineering (SRE), and service management teams. * Establish and maintain effective programme governance, reporting, risk management, and control frameworks. * Manage senior stakeholders across technology, business, regulatory, and control functions. * Ensure compliance with enterprise architecture, cloud strategy, DevOps, automation, and operational standards. * Oversee third-party vendors and global delivery partners to ensure successful programme execution. * Lead global, matrixed teams and foster accountability for delivery performance and outcomes. * Identify and mitigate programme risks, dependencies, and issues. * Drive continuous improvement initiatives to enhance programme delivery effectiveness. * Provide executive-level reporting, communication, and decision support. * Support organizational transformation efforts through strategic technology initiatives. ## Qualifications * Eligibility to obtain BPSS clearance. * Proven experience delivering large-scale CTO Platforms or enterprise technology programmes with budget accountability exceeding £50 million. * Strong experience across infrastructure, cloud platforms, hosting environments, and platform engineering. * Demonstrated success leading complex transformation initiatives within large-scale enterprise environments. * Experience working within Tier-1 financial services organizations; experience with HSBC environments is highly preferred. * Strong understanding of governance, risk management, regulatory compliance, and audit frameworks. * Experience establishing and managing programme governance and control structures. * Proven ability to manage executive-level stakeholders across technology and business functions. * Experience overseeing complex vendor ecosystems and global delivery partnerships. * Strong financial, commercial, budgeting, and forecasting management experience. * Experience leading global and matrixed teams across multiple disciplines. * Knowledge of cloud strategies, DevOps practices, automation frameworks, and enterprise architecture principles. * Excellent leadership, communication, negotiation, and stakeholder management skills. * Strong strategic thinking, problem-solving, and decision-making capabilities. ## Additional Information All your information will be kept confidential according to EEO guidelines. Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship. HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements. We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted. HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.", "summaryDescription" : "Programme Director – CTO Platforms at HelloKindred. Skills: Cloud platforms, CI/CD, Containerization, Technical leadership. Design scalable infrastructure. Build and maintain CI/CD pipelines", "postedDate" : "2026-06-15T21:14:10.000", "createdAt" : "2026-06-16T01:38:57.816", "lastUpdated" : "2026-06-16T11:25:38.593", "ingestTimestamp" : "2026-06-16T01:38:57.816", "mongoId" : "6a3083b6f292fd229c071b72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Cloud architecture", "Infrastructure as Code", "DevOps practices", "Microservices architecture", "API design", "Cloud platforms", "CI/CD", "Containerization", "Technical leadership", "System design", "Architecture design", "Mentoring engineers", "Agile methodologies", "Scrum", "Cloud-native architecture", "Distributed systems", "Microservices", "AWS Certified Solutions Architect", "Certified Kubernetes Administrator (CKA)", "Kubernetes", "Docker", "Terraform", "Ansible", "Git", "JIRA" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a18f", "title" : "Automation and Control System Developer", "company" : "HDR", "salary" : { "min" : 98500.0, "max" : 141500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for Automation and Control System Developers in the United States, adjusted for mid-seniority, the engineering industry, and the Missoula, Montana location." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T06:38:36.079", "fingerprint" : "404fc83d02b407e8af57f1af71e2bf2722dcd7ff276ba97e6deaa14036a8c6e5", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=774411", "externalId" : "774411", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Missoula", "state" : "Montana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "46.8701049,-113.9952670" } ], "locationText" : "Missoula, Montana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 5, "experienceLevel" : "null", "communicationSkills" : "Verbal communication; Written communication", "qualificationsBasic" : "Associate's degree in engineering or related field, 5 years of engineering experience, Hands-on experience with computer applications, Knowledge of industry standards, Proficient with Microsoft Office", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Associate's degree in engineering or related field of study or equivalent work experience A minimum of 5 years of engineering experience in the discipline to be supported Aptitude and demonstrated hands-on experience with computer applications specific to the discipline to be supported Knowledge of industry standards specific to the discipline being supported Proficient with Microsoft Office Good verbal and written communication skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Montana-Missoula", "summaryDescription" : "Automation and Control System Developer at HDR", "createdAt" : "2026-06-14T20:44:14.408", "lastUpdated" : "2026-06-16T06:38:36.079", "ingestTimestamp" : "2026-06-14T20:44:14.408", "mongoId" : "6a16291c58b93c861e95a18f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98500, "salaryAnnualMax" : 141500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. Lead implementation of data solutions", "postedDate" : "2026-06-13T14:22:44.066", "createdAt" : "2026-06-13T14:22:44.066", "lastUpdated" : "2026-06-15T07:27:32.772", "ingestTimestamp" : "2026-06-13T14:22:44.066", "mongoId" : "69cf3f062beec4dd3d9340ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382143/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration", "Data architecture", "AWS data services", "Data platform design", "Analytics architecture", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration", "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306afff292fd229cfceb63", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:18:42.965", "fingerprint" : "afaa085e21ddbf0c4130a3767da4a46bd58a9db2da6ebd7e96afc025017dff0f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy machine learning models, Collaborate with stakeholders to understand data needs, Communicate insights and recommendations, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate insights; Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-16T00:14:42.954", "lastUpdated" : "2026-06-16T09:18:42.965", "ingestTimestamp" : "2026-06-16T00:14:42.954", "mongoId" : "6a306afff292fd229cfceb63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference", "Data analytics", "Data modeling", "Statistical analysis", "Quantitative analysis", "Data science", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304ff3f292fd229ceeb334", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:45:12.856", "fingerprint" : "55427dd654eb7d917189288e6c25472957d891875ce5f91427c51d29ab5b8218", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay current with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data warehousing; Cloud data stacks; ML frameworks; BI platforms; Statistical modelling", "domainList" : [ "data-warehousing", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in analytics or data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-15T21:41:18.491", "lastUpdated" : "2026-06-16T08:45:12.856", "ingestTimestamp" : "2026-06-15T21:41:18.491", "mongoId" : "6a304ff3f292fd229ceeb334", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Statistical analysis", "Quantitative analysis", "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. Analyze complex datasets", "createdAt" : "2026-06-14T19:52:47.793", "lastUpdated" : "2026-06-15T21:42:44.801", "ingestTimestamp" : "2026-06-14T19:52:47.793", "mongoId" : "694ae6e870f0b99d589b3a89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing", "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307be4f292fd229c048222", "title" : "Analyst/Associate, Investment Engineering (Analytics Platforms)", "company" : "Dimensional", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Junior Analyst/Associate in Financial Services in Charlotte, United States, adjusted for company size and industry." }, "location" : "Charlotte", "locations" : [ "Charlotte", "United States of America" ], "timestamp" : "2026-06-16T13:18:47.254", "fingerprint" : "d6e41f71a180e372c74d9ea6d32885580f700162556a04a7862ff736a70c0cd8", "source" : "workday", "language" : "en", "applyUrl" : "https://dimensional.wd5.myworkdayjobs.com/DFA_Careers/job/Charlotte/Analyst-Associate--Investment-Engineering--Analytics-Platforms-_2026-8867-1", "externalId" : "2026-8867", "industryFunction" : { }, "locationPoint" : "44.30977,-73.26096", "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, T-SQL, Rest APIs, Git, CI processes, Github actions", "professionalSkills" : [ "Data analysis", "Algorithmic problem solving" ], "hardSkillsList" : [ "Programming", "Database management", "Data analysis" ], "hardSkills" : [ { "name" : "Programming", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Investment Engineering, Analytics Platforms, Portfolio analytics", "majorSkillsList" : [ "Investment Engineering", "Analytics Platforms", "Portfolio analytics" ], "coreResponsibilities" : "Manage data from acquisition, Manage data through distribution, Drive analysis to create information, Create information consumed by clients, Create analysis consumed by clients, Create information consumed by reports, Create analysis consumed by reports, Build internal tools, Maintain internal tools, Empower product teams, Partner with user groups, Consult with user groups, Onboard new use cases, Maintain frameworks, Innovate in frameworks, Execute projects, Enhance tools, Improve tools", "teamCollaboration" : "Team-based work; Partnering with user groups", "domainKnowledge" : "Investment philosophy; Investment process; Financial markets", "domainList" : [ "investment-philosophy", "investment-process", "financial-markets" ], "domainSpecificKnowledge" : [ "Investment philosophy", "Investment process", "Financial markets" ], "continuousLearning" : "Educational initiatives", "problemSolvingSkills" : "Algorithmic problem solving", "specialRequirements" : "Not eligible for immigration sponsorship", "qualificationsBasic" : "Bachelor's degree, Experience with programming, Understanding of financial markets, Experience with databases, Experience with large data sets", "qualificationsPreferred" : "Python highly considered, Knowledge of T-SQL, Knowledge of databases, Knowledge of Rest APIs, Experience with git, Experience with CI processes, Experience with github actions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "### ### **Job Description:** **Job Description:** Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data, which means managing data from acquisition through distribution, driving analysis to create information from data, and creating the information and analysis consumed by internal and external clients and reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional. The Analytics Platforms team creates tools for clients to understand Dimensional’s products and analyze how they might fit inside a client’s portfolio. **Responsibilities:** Our team seeks an intellectual and creative candidate within the Investment Engineering Analytics Platforms area to work on key projects spanning portfolio analytics and client applications within Dimensional. Success in the role will mean learning both the big picture and nuance of Dimensional’s investment philosophy and how it translates into the implementation of an investment process. Strong intellectual curiosity combined with an ability to dig into details is a prerequisite. The work is team-based and involves building and maintaining internal tools and frameworks to empower product teams to work more efficiently, as well as partnering with user groups to consult and onboard new use cases (where learning the SME knowledge, goals, processes of that team is critical). Success in the job, including career progression, will be driven by successfully maintaining and innovating in these frameworks and executing on projects to enhance and improve these tools. **Qualifications:** * Bachelor’s degree, ideally in computer science, mathematics, engineering, economics – show us you have a capacity for and interest in quantitative work. * Experience with programming in one or more languages, though python is highly considered – demonstrate the ability to code, to solve problems algorithmically, and perform data analysis. * Understanding of financial markets and desire to learn more – know what Dimensional does. * Experience with databases and large data sets – show you can work with and analyze data to provide meaningful results. * Knowledge of T-SQL, databases, and Rest APIs in general highly considered, as much of the job involves pulling data from databases and performing analysis. * Experience with software management skills such as git, CI processes (eg github actions) is a plus. **This role is not eligible for immigration sponsorship.** #LI-Hyrbrid Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth. It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.", "summaryDescription" : "Analyst/Associate, Investment Engineering (Analytics Platforms) at Dimensional. Skills: Investment Engineering, Analytics Platforms, Portfolio analytics. Manage data from acquisition. Manage data through distribution", "postedDate" : "2026-06-12T03:51:30.014", "createdAt" : "2026-06-16T03:51:30.002", "lastUpdated" : "2026-06-16T13:18:47.254", "ingestTimestamp" : "2026-06-16T03:51:30.002", "mongoId" : "6a307be4f292fd229c048222", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://dimensional.wd5.myworkdayjobs.com/DFA_Careers/job/Charlotte/Analyst-Associate--Investment-Engineering--Analytics-Platforms-_2026-8867-1", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Programming", "Database management", "Data analysis", "Investment Engineering", "Analytics Platforms", "Portfolio analytics", "Algorithmic problem solving", "Investment philosophy", "Investment process", "Financial markets" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25146674d8ee00a00bb829", "title" : "Case Manager with Italian and English", "company" : "Amazon Czech Republic Services s.r.o.", "industry" : "Human Resources, amazonian experience and tech", "salary" : { "min" : 700000.0, "max" : 950000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Case Manager in Prague, Czech Republic, adjusted for the E-Commerce industry and remote work." }, "location" : "CZE", "locations" : [ "CZE" ], "timestamp" : "2026-06-16T04:20:55.592", "fingerprint" : "0f5a30b5e3895e6b52fe8e022e29ae5548bcfff9985e352f69ef138cde755d84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440066/apply", "externalId" : "0efe3392-17fd-40eb-8778-d7f3b9579cc6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0874654,14.4212535" }, { "country" : "Romania", "continent" : "eu", "workMode" : "remote" }, { "country" : "Poland", "continent" : "eu", "workMode" : "remote" }, { "country" : "Czech Republic", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Prague, Czech Republic; Romania; Poland; Czech Republic", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Case management", "Leave management", "Disability management", "Benefit administration" ], "hardSkillsList" : [ "Adjudicate leaves", "Review medical documentation", "Leverage duration guidelines", "Troubleshoot issues", "Remove barriers", "Solve problems", "Facilitate ramp-back plan", "Educate managers", "Educate business partners", "Communicate updates", "Ensure compliance", "Maintain system records", "Coordinate with HR", "Coordinate with Safety", "Coordinate with Legal", "Coordinate with Payroll", "Coordinate with Benefits" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Adjudicate leaves", "level" : "intermediate" }, { "name" : "Review medical documentation", "level" : "intermediate" }, { "name" : "Leverage duration guidelines", "level" : "intermediate" }, { "name" : "Troubleshoot issues", "level" : "intermediate" }, { "name" : "Remove barriers", "level" : "intermediate" }, { "name" : "Solve problems", "level" : "intermediate" }, { "name" : "Facilitate ramp-back plan", "level" : "intermediate" }, { "name" : "Educate managers", "level" : "intermediate" }, { "name" : "Educate business partners", "level" : "intermediate" }, { "name" : "Communicate updates", "level" : "intermediate" }, { "name" : "Ensure compliance", "level" : "intermediate" }, { "name" : "Maintain system records", "level" : "intermediate" }, { "name" : "Coordinate with HR", "level" : "intermediate" }, { "name" : "Coordinate with Safety", "level" : "intermediate" }, { "name" : "Coordinate with Legal", "level" : "intermediate" }, { "name" : "Coordinate with Payroll", "level" : "intermediate" }, { "name" : "Coordinate with Benefits", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Case management, Disability and Leave, Employee relations", "majorSkillsList" : [ "Case management", "Disability and Leave", "Employee relations" ], "coreResponsibilities" : "Initiate inquiries about leave, Respond to inquiries about leave, Initiate inquiries about disability events, Respond to inquiries about disability events, Initiate inquiries about benefits, Respond to inquiries about benefits, Initiate inquiries about options, Respond to inquiries about options, Provide holistic case management services, Review medical documentation, Adjudicate leaves, Comply with leave plans, Comply with federal laws, Comply with state laws, Comply with benefit plans, Leverage duration guidelines, Use best practice tools, Use Amazon resources, Oversight of leave event, Critically assess case management plan, Adjust case management plan, Address sensitive situations, Respond to sensitive situations, Troubleshoot issues, Seek to remove barriers, Respond to employee impacting issues, Ensure right communication occurs, Identify problems, Solve problems, Facilitate smooth return to work, Facilitate ramp-back plan, Educate managers on employee concerns, Educate managers on employee needs, Educate business partners on employee concerns, Educate business partners on employee needs, Communicate regular updates to employees, Communicate regular updates to stakeholders, Ensure compliance with standard work, Ensure compliance with regulations, Ensure compliance with company policy, Maintain system records, Consult with third party administrator, Coordinate with third party administrator, Partner with third party administrator, Consult with HR, Coordinate with HR, Partner with HR, Consult with Safety, Coordinate with Safety, Partner with Safety, Consult with Legal, Coordinate with Legal, Partner with Legal, Consult with Payroll, Coordinate with Payroll, Partner with Payroll, Consult with Benefits, Coordinate with Benefits, Partner with Benefits, Consult with team members, Coordinate with team members, Partner with team members, Consult with other departments, Coordinate with other departments, Partner with other departments, Consult with systems, Coordinate with systems, Partner with systems, Perform other duties as assigned", "teamCollaboration" : "Cross functional environment; Coordinate with third party administrator; Coordinate with HR; Coordinate with Safety; Coordinate with Legal; Coordinate with Payroll; Coordinate with Benefits; Coordinate with team members; Coordinate with other departments", "domainKnowledge" : "Leave of absence; Disability life events; Accommodation services; Federal laws; State laws; Benefit plans", "domainList" : [ "leave-of-absence", "disability-life-events", "accommodation-services", "federal-laws", "state-laws", "benefit-plans" ], "domainSpecificKnowledge" : [ "Leave of absence", "Disability life events", "Accommodation services", "Federal laws", "State laws", "Benefit plans" ], "toolProficiency" : [ "MS Word", "MS Excel", "MS Access", "MS Outlook", "MS PowerPoint", "Case management systems" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Maintain system records; Accurate information; Timely documentation", "problemSolvingSkills" : "Problem solving; Troubleshoot issues; Identify problems; Solve problems; Critical thinking", "specialRequirements" : "Rotational shifts, Weekends, Weekdays", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Customer service experience, Human Resource management experience, Case management experience, Leave & Disability management experience, Intermediate MS Word proficiency, Intermediate MS Excel proficiency, Intermediate MS Access proficiency, Intermediate MS Outlook proficiency, Intermediate MS PowerPoint proficiency, Very good written Italian (B2 CEFR), Very good verbal Italian (B2 CEFR), Very good written English (B2 CEFR), Very good verbal English (B2 CEFR)", "qualificationsPreferred" : "Critical thinking for problem solving, Relationship building, Influencing others, Cross functional environment experience, Time management, Ownership of deliverables, Demonstrated communication skills, Prior Leave experience, Prior Accommodation's experience, Case management systems experience, Reviewing cases for eligibility, Determining appropriate leave pay benefits, Determining appropriate disability pay benefits, Establishing case management plan, Executing case management plan, Guidance to employees on leave, Guidance to managers on leave, Guidance on disability plan, Guidance on accommodation, Guidance on human resources, Guidance on benefits, Guidance on employee matters, Working multiple projects independently, Working cases independently, Experience in changing priorities environment, Working with confidential information", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "*This role can be office based in Prague, Czech Republic. Additionally, this role can be performed remotely from any location within Romania, Poland, Slovakia and Czech Republic.* (!) Please submit your CV in English. At Amazon we believe that every day is still day one. We are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you’d like to help the Disability Leave Services (DLS) team build a best-in-class professional services program to deliver leave of absence, disability and accommodation services to Amazon employees, applicants, job seekers and candidates globally, this is your chance to make history by joining the amazing Disability & Leave Services Team. The DLS Case Manager provides case management for all types of leave of absence and disability life events. The DLS Case Manager is highly skilled in answering questions, understanding the employee’s situation, applying the appropriate benefits, responding to changing circumstances and needs, and paves the way for a connected and trusted case management experience. Case Managers are the single point of contact for an employee throughout an entire leave of absence or disability event. This is an individual contribution (IC) role with no direct reports. Key job responsibilities • Initiate and respond to inquiries about leave and disability events, benefits, and options available to employees • Serve as a point of contact for assigned employees to provide holistic case management services, including reviewing medical documentation to adjudicate leaves in compliance with the corresponding leave plans, federal and state laws and benefit plans as defined by Amazon • Leverage duration guidelines, best practice tools and Amazon resources to support oversight of a leave event as appropriate • Critically assess and adjust the case management plan to an employee’s changing needs • Address and respond to sensitive situations • Troubleshoot issues and seek to remove barriers before, during, or after a leave event • Respond to employee impacting issues that may arise during the leave event and ensure the right communication occurs • Identify and solve problems that may arise, sometimes with limited information • Facilitate a smooth return to work and ramp-back plan for employees returning to the workplace • Educate managers and business partners on employee concerns and needs prior to being off or returning back to work • Communicate regular updates to employees and stakeholders both verbally and in writing • Ensure compliance with standard work, federal/state regulations, and company policy • Maintain system records to ensure accurate and timely information/documentation • Consult, coordinate and partner with our third party administrator, HR, Safety, Legal, Payroll, Benefits, team members and other departments/systems as appropriate • Other duties as assigned • Being able to work on rotational shifts in both weekends and weekdays Basic Qualifications: - Bachelor’s degree from accredited university or equivalent experience - Experience in customer service or Human Resource management or Case management or Leave & Disability management role - Intermediate proficiency in MS Word, Excel, Access, Outlook and PowerPoint - Very good proficiency in written and verbal in Italian (B2 CEFR) and English (B2 CEFR). Preferred Qualifications: - Ability to apply critical thinking and identify issues for problem solving - Ability to build strong relationships and influence others while working in a cross functional environment - Strong time management and ownership of deliverables Strong & demonstrated communication skills - verbal as well as written Prior Leave and/or Accommodation’s experience, to include: previous work in a leave of absence and/or disability claim management role, with experience using case management systems, reviewing cases for eligibility, determining the appropriate leave and/or disability pay benefits that apply to a specific situation, and establishing/executing a case management plan. - Experience providing guidance to employees or managers on leave of absence, disability plan, accommodation, human resources, benefits, or employee matters - Experience working multiple projects or cases independently in environment with changing priorities - Experience working with confidential information. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Case Manager with Italian and English at Amazon Czech Republic Services s.r.o.. Skills: Case management, Disability and Leave, Employee relations. Initiate inquiries about leave. Respond to inquiries about leave", "postedDate" : "2026-06-14T20:21:35.450", "createdAt" : "2026-06-14T20:21:35.450", "lastUpdated" : "2026-06-16T04:20:55.592", "ingestTimestamp" : "2026-06-14T20:21:35.450", "mongoId" : "6a25146674d8ee00a00bb829", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440066/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Adjudicate leaves", "Review medical documentation", "Leverage duration guidelines", "Troubleshoot issues", "Remove barriers", "Solve problems", "Facilitate ramp-back plan", "Educate managers", "Educate business partners", "Communicate updates", "Ensure compliance", "Maintain system records", "Coordinate with HR", "Coordinate with Safety", "Coordinate with Legal", "Coordinate with Payroll", "Coordinate with Benefits", "Critical thinking", "Case management", "Disability and Leave", "Employee relations", "Leave management", "Disability management", "Benefit administration", "Leave of absence", "Disability life events", "Accommodation services", "Federal laws", "State laws", "Benefit plans", "MS Word", "MS Excel", "MS Access", "MS Outlook", "MS PowerPoint", "Case management systems" ], "skillCount" : 36, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c941a74d8ee00a0989afa", "title" : "Project Leader – IT Service Management (ITSM)", "company" : "ASSYST, Inc.", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Project Leader in IT Service Management in Austin, TX, adjusted for industry and company size." }, "location" : "Client Location", "locations" : [ "Client Location" ], "timestamp" : "2026-06-15T10:13:07.699", "fingerprint" : "c852cd28e38e510735cda5257c4c522bc78e67176557e0a66c1b4bb321e60564", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/assystinc/jobs/4266606009", "externalId" : "4266606009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "IT Change Management, IT Incident Management, IT Problem Management, ServiceNow platform", "professionalSkills" : [ "Process management", "Stakeholder management", "Process excellence", "Service delivery" ], "hardSkillsList" : [ "Change planning", "Risk assessment", "Change evaluation", "Post-implementation reviews", "Incident detection", "Prioritization", "Escalation", "Resolution processes", "Problem analysis", "Root cause analysis", "Corrective actions", "Preventive actions", "Operational efficiency", "Service restoration", "Process optimization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Change planning", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Change evaluation", "level" : "intermediate" }, { "name" : "Post-implementation reviews", "level" : "intermediate" }, { "name" : "Incident detection", "level" : "intermediate" }, { "name" : "Prioritization", "level" : "intermediate" }, { "name" : "Escalation", "level" : "intermediate" }, { "name" : "Resolution processes", "level" : "intermediate" }, { "name" : "Problem analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Corrective actions", "level" : "intermediate" }, { "name" : "Preventive actions", "level" : "intermediate" }, { "name" : "Operational efficiency", "level" : "intermediate" }, { "name" : "Service restoration", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ITSM, Process improvement, ServiceNow", "majorSkillsList" : [ "ITSM", "Process improvement", "ServiceNow" ], "teamCollaboration" : "Client stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Change Management", "Incident Management", "Problem Management" ], "domainKnowledge" : "IT Service Management; ITSM processes; Industry best practices", "domainList" : [ "it-service-management", "itsm-processes", "industry-best-practices" ], "domainSpecificKnowledge" : [ "IT Service Management", "ITSM processes", "Industry best practices" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Stakeholder communications; Process documentation; Training sessions", "documentationSkills" : "Process documentation", "continuousLearning" : "Continuous improvement", "problemSolvingSkills" : "Root cause analysis; Problem analysis", "outcomesObjectives" : "Minimize business impact; Minimize downtime; Enhance operational efficiency; Improve service delivery outcomes", "qualificationsBasic" : "5+ years ITSM experience, ServiceNow platform experience", "qualificationsPreferred" : "Analytical skills, Stakeholder management skills, Passion for process excellence, Proven track record", "workSiteFlexibility" : "Onsite", "rawDescription" : "Assyst is seeking an experienced and results-driven Project Leader – IT Service Management (ITSM) to support a client’s IT service delivery initiatives and drive continuous improvement across critical ITSM processes. This role is responsible for leading and optimizing IT Change Management, Incident Management and Problem Management practices while ensuring high service quality standards through effective utilization of the ServiceNow platform. The ideal candidate will possess strong analytical and stakeholder management skills, a passion for process excellence and a proven track record of delivering successful ITSM projects in complex IT environments. Roles & Responsibilities: Lead the development, implementation and continuous improvement of IT Change Management, Incident Management and Problem Management processes. Ensure ITSM processes align with industry best practices, organizational objectives and service quality standards. Serve as Incident Manager and/or Major Incident Manager during high-priority incidents, coordinating response efforts, stakeholder communications and service restoration activities. Drive effective change planning, risk assessment, change evaluation and post-implementation review activities. Oversee incident detection, prioritization, escalation and resolution processes to minimize business impact and downtime. Conduct problem analysis and root cause investigations, implementing long-term corrective and preventive actions. Collaborate with client stakeholders and cross-functional teams to assess existing workflows and identify opportunities for process optimization. Recommend and implement process improvements that enhance operational efficiency, reduce risk and improve service delivery outcomes. Monitor key process performance metrics and prepare regular reports for management, highlighting performance trends, achievements and improvement opportunities. Utilize the ServiceNow platform to manage and optimize Change, Incident and Problem Management workflows, including automation, reporting and integrations. Develop and deliver training sessions, process documentation and guidance to IT teams on ITSM best practices and updated procedures. Support ongoing service management maturity initiatives and promote a culture of continuous improvement. Required Skills: Technical Skills: Strong experience in IT Change Management, including change planning, coordination, risk assessment, change evaluation and post-implementation reviews. Proven expertise in IT Incident Management, including incident detection, prioritization, escalation and resolution management. In-depth knowledge of IT Problem Management, including root cause analysis, problem resolution and preventive action planning. Hands-on experience with the ServiceNow platform, including workflow management, process automation, reporting and integration capabilities. Demonstrated expertise in process improvement methodologies and continuous service enhancement initiatives. Certifications: Current ITIL Foundation Certification is required. Education: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field, or equivalent work experience. Minimum Experience: Minimum of 5 years of experience in IT Service Management environments. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.", "summaryDescription" : "Project Leader – IT Service Management (ITSM) at ASSYST, Inc.. Skills: ITSM, Process improvement, ServiceNow", "postedDate" : "2026-06-14T09:37:08.648", "createdAt" : "2026-06-14T09:37:08.648", "lastUpdated" : "2026-06-15T10:13:07.699", "ingestTimestamp" : "2026-06-14T09:37:08.648", "mongoId" : "6a2c941a74d8ee00a0989afa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Change planning", "Risk assessment", "Change evaluation", "Post-implementation reviews", "Incident detection", "Prioritization", "Escalation", "Resolution processes", "Problem analysis", "Root cause analysis", "Corrective actions", "Preventive actions", "Operational efficiency", "Service restoration", "Process optimization", "Leadership", "ITSM", "Process improvement", "ServiceNow", "Process management", "Stakeholder management", "Process excellence", "Service delivery", "Change Management", "Incident Management", "Problem Management", "IT Service Management", "ITSM processes", "Industry best practices" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca44a74d8ee00a09b1213", "title" : "Automation and Controls Software Engineer", "company" : "Varda Space Industries", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Automation and Controls Software Engineer in El Segundo, United States, adjusted for the aerospace industry and company size." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-15T08:50:43.457", "fingerprint" : "dc3afe5f128fa9c645c95cc94e3677aeb256ba44d9f26dcc199f241be25f8f0c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vardaspace/jobs/7770810003", "externalId" : "7770810003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, PLC, EtherCAT, TwinCAT 3, IEC 61131-3, Linux", "professionalSkills" : [ "Test automation", "Controls engineering", "Industrial automation", "Electrical design", "System integration" ], "hardSkillsList" : [ "Hardware control", "Test automation applications", "Industrial hardware integration", "PLC programming", "Electrical panel design", "System commissioning" ], "hardSkills" : [ { "name" : "Hardware control", "level" : "intermediate" }, { "name" : "Test automation applications", "level" : "intermediate" }, { "name" : "Industrial hardware integration", "level" : "intermediate" }, { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "Electrical panel design", "level" : "intermediate" }, { "name" : "System commissioning", "level" : "intermediate" } ], "majorSkills" : "Automation, Controls Software, Test Systems, GSE", "majorSkillsList" : [ "Automation", "Controls Software", "Test Systems", "GSE" ], "coreResponsibilities" : "Design test systems, Build test systems, Maintain test systems, Integrate with external hardware, Develop PLC framework, Extend EtherCAT tooling, Contribute to architecture decisions, Build cabinets, Wire panels, Own systems end-to-end, Partner with teams, Champion sustainable engineering practices", "teamCollaboration" : "Propulsion teams; Avionics teams; GNC teams; Manufacturing teams", "domainKnowledge" : "Spaceflight hardware; Ground support equipment; Propulsion test stands; Environmental qualification chambers; Spacecraft integration testing; Real-time control implementation; High-frequency control applications", "domainList" : [ "spaceflight-hardware", "ground-support-equipment", "propulsion-test-stands", "environmental-qualification-chambers", "spacecraft-integration-testing", "real-time-control-implementation", "high-frequency-control-applications" ], "domainSpecificKnowledge" : [ "Spaceflight hardware", "Ground support equipment", "Propulsion test stands", "Environmental qualification chambers", "Spacecraft integration testing", "Real-time control implementation", "High-frequency control applications" ], "toolProficiency" : [ "TwinCAT 3", "EtherCAT tooling" ], "innovationCreativity" : "Shape test automation", "specialRequirements" : "U.S. persons only", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Bachelor's degree in Computer Engineering, Bachelor's degree in Mechanical Engineering, 2+ years of industry experience, Python skills, Hands-on experience integrating with industrial hardware, Experience with at least one modern PLC ecosystem, Comfort working across the full stack", "qualificationsPreferred" : "Experience working with custom control frameworks, Advanced EtherCAT expertise", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Varda Low Earth orbit is open for business. Varda is accelerating the development of commercial space infrastructure, from in-orbit pharmaceutical processing to reliable and economical reentry capsules. From life-saving pharmaceuticals to more powerful fiber optics, there is a world of products used on Earth today that can only be manufactured in space. Varda is accelerating innovation in the orbital economy by creating both the products and infrastructure needed so space can directly benefit life on Earth. Our mission is to expand the economic bounds of humankind. Our team is uniquely suited to accomplishing this goal, with leadership and staff comprised of veterans from SpaceX, Blue Origin, major pharmaceutical companies and Silicon Valley. Varda was founded in January 2021 by Will Bruey and Delian Asparouhov with significant backing from world class investors including Khosla Ventures, Lux Capital, Founders Fund, Caffeinated Capital, General Catalyst, and Also Capital. Varda is headquartered in El Segundo, California, where we have offices and a production facility where our vehicles, equipment, and materials are built, integrated, and tested. Varda also has offices in Washington, DC and Huntsville, AL. Join Varda, and work to create a bustling in-space ecosystem. About the Role As an Automation and Controls Software Engineer at Varda, you will be at the center of one of the most technically demanding challenges in the industry: building the bespoke test infrastructure that qualifies spaceflight hardware for orbit. This is not a role for someone who wants to work inside a well-worn playbook. You will design, build, and own sophisticated ground support equipment (GSE) and test systems — from propulsion test stands to environmental qualification chambers to full spacecraft-level integration testing. You will work at the intersection of software, electrical, and mechanical domains, collaborating with propulsion, avionics, GNC, and manufacturing teams to deliver infrastructure that meets demanding timelines. Our stack is intentionally modern and software-engineering-focused, including a custom PLC framework and EtherCAT tooling built in-house. We want engineers who are energized — not intimidated — by the opportunity to shape how test automation is done across an entire organization. This is a high-ownership role on a small, growing team. You will have a meaningful voice in architecture decisions and the chance to define standards that will outlast any single program. If you thrive when the scope is broad, the stakes are real, and the problems are genuinely novel, this is your role. Responsibilities Design, build, and maintain test systems and ground support equipment (GSE) for flight hardware qualification and manufacturing operations. Integrate with a wide range of external hardware, including thermal vacuum chambers, ovens, chillers, pressure systems, data acquisition hardware, and precision instrumentation. Develop and extend Varda's internal PLC framework and EtherCAT tooling to support evolving program needs. Contribute to architecture decisions on real-time control implementation, including evaluation of PLC-based (TwinCAT 3) versus Linux-based approaches for high-frequency control applications. Build cabinets, wire panels, and own systems end-to-end — from electrical design through commissioning. Partner with propulsion, avionics, GNC, and manufacturing teams to deliver test infrastructure that meets their needs on aggressive timelines. Champion sustainable engineering practices that enable new engineers to ramp quickly on the tech stack and maintain production systems reliably. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field. 2+ years of industry experience in test automation, controls, or industrial automation. Strong Python skills, particularly for hardware control or test automation applications. Hands-on experience integrating with industrial hardware over protocols such as EtherCAT, Modbus (TCP/RTU), RS-232/485 serial, or similar communication standards. Experience with at least one modern PLC ecosystem — ideally Beckhoff TwinCAT 3 with structured text (IEC 61131-3) — or a demonstrated eagerness to develop deep expertise there. Comfort working across the full stack: writing control software, designing electrical panels, wiring cabinets, and debugging hardware. Proven ability to thrive in a fast-paced startup environment where priorities shift, and end-to-end ownership of problems is expected. Preferred Skills and Qualifications Experience working with custom or in-house control frameworks, rather than relying solely on vendor-provided stacks. Advanced EtherCAT expertise beyond consumer-level usage — including DC sync, ENI configuration, master implementation, or driver-level work. Production experience with TwinCAT 3, structured text, and the broader IEC 61131-3 language suite. Experience designing deterministic, hard real-time control loops with sub-millisecond cycle times. Strong intuition for when to use real-time PLC code versus higher-level Python orchestration, and a clear understanding of the tradeoffs between the two. Bare-metal or embedded firmware development experience. Experience with Docker and DevOps tooling for test infrastructure deployment and reproducibility. Familiarity with time-series data acquisition and visualization tools such as Grafana, InfluxDB, or similar platforms. Aerospace experience, particularly in spacecraft testing or GSE development. Environmental test experience, including TVAC, thermal cycling, and vibration testing. Hands-on experience working with high-pressure gas or fluid systems. Experience developing propulsion test stands or other complex, multi-subsystem test infrastructure. Familiarity with spacecraft qualification standards and associated documentation requirements. Experience developing safety-related control systems and evaluating proposed solutions for reducing safety-related risks. Compensation & Benefits Base salary range: $114,000 – $184,000 per year, commensurate with skills, experience, education, and performance. Eligible for incentives in the form of stock options and/or long-term cash awards. On-site role in El Segundo, CA. Leveling and base salary are determined by job-related skills, education level, experience level, and job performance Varda Space Industries is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. Benefits Varda offers a comprehensive benefits package designed to support health, financial well‑being, and a high‑quality workplace experience. Below is an overview of what full‑time employees receive (at this time, interns receive a subset of benefits): Health & Wellness Flexible PTO policy + 12 paid holidays 100% company-paid Medical, Dental, and Vision insurance plans for employees and dependents with FSA and employer-matched HSA options Voluntary accident, hospital, critical illness, and pet insurance $120/month wellness reimbursement for gym and fitness expenses 12 weeks of parental leave (with supplemental disability leave for CA mothers) Family building, pregnancy, parenting and menopause benefits via Maven Clinic Sponsored One Medical memberships for employees and their dependents Financial & Retirement Substantial incentive equity in a fully funded space start-up 401(k) retirement plan with 6% employer match (immediately vested) $20/pay period cell phone reimbursement Relocation support for new hires, if needed Workplace Experience & Perks Fully stocked kitchen with lunch provided daily and dinner provided twice weekly Company and team-bonding events, happy hours and mission-success celebrations Complimentary EV charging Dog-friendly office space \uD83D\uDC15 ITAR Requirements Varda, like all employers, must ensure that its employees working in the United States are lawfully authorized to work in the U. S. Additionally, our employees are exposed to and have access to certain export-controlled items. At present, some of our technology to which employees have access requires a license to be exported to individuals other than “U. S. Persons” as defined in U. S. export regulations. Because our employees are provided access to export-controlled items, our current policy is to only hire “U. S. persons” who are permitted to have access to our technology without an export license. “US person” means: U. S. citizen, U. S. lawful permanent resident, or protected individual as defined by 8 U.S. C. 1324b(a)(3) (i.e., individual admitted to the U. S. as a refugee or granted asylum in the U.S.) Learn more about the ITAR here. E-Verify Statement Varda Space Industries, Inc. participates in the U. S. Department of Homeland Security E-Verify program. The E-Verify program is an Internet-based employment eligibility verification system operated by the U. S. Citizenship and Immigration Services. Learn more about the E-Verify program. E-Verify Notice Right To Work Notice Read more Read more", "summaryDescription" : "Automation and Controls Software Engineer at Varda Space Industries. Skills: Automation, Controls Software, Test Systems, GSE. Design test systems. Build test systems", "postedDate" : "2026-06-14T09:33:54.964", "createdAt" : "2026-06-14T09:33:54.964", "lastUpdated" : "2026-06-15T08:50:43.457", "ingestTimestamp" : "2026-06-14T09:33:54.964", "mongoId" : "6a2ca44a74d8ee00a09b1213", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Hardware control", "Test automation applications", "Industrial hardware integration", "PLC programming", "Electrical panel design", "System commissioning", "Automation", "Controls Software", "Test Systems", "GSE", "Test automation", "Controls engineering", "Industrial automation", "Electrical design", "System integration", "Spaceflight hardware", "Ground support equipment", "Propulsion test stands", "Environmental qualification chambers", "Spacecraft integration testing", "Real-time control implementation", "High-frequency control applications", "TwinCAT 3", "EtherCAT tooling" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051cbf292fd229cf06d4c", "title" : "Merchant Security Expert with Spanish and English", "company" : "SumUp", "industry" : "FinTech", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for FinTech in Sofia, Bulgaria, adjusted for mid-seniority and full-time employment." }, "location" : "Sofia, Bulgaria", "locations" : [ "Sofia", "Bulgaria" ], "timestamp" : "2026-06-16T09:36:44.092", "fingerprint" : "189df21854cfafe74ec3852e1dd4ca1a1508a18e931bb27d855692813d995637", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://sumup.com/careers/positions/8416344002?gh_jid=8416344002", "externalId" : "8416344002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "professionalSkills" : [ "Decision making" ], "majorSkills" : "Merchant security, Risk and fraud", "majorSkillsList" : [ "Merchant security", "Risk and fraud" ], "coreResponsibilities" : "Address transaction-related requests, Adhere to security rules, Contact merchants, Verify documents, Monitor merchant behavior, Adjust payment limits, Provide support to customers", "teamCollaboration" : "Customer Support team; Risk and Fraud Team", "domainKnowledge" : "AML rules; Internal T&Cs rules", "domainList" : [ "aml-rules", "internal-t-cs-rules" ], "domainSpecificKnowledge" : [ "AML rules", "Internal T&Cs rules" ], "continuousLearning" : "Individual learning budget; Educational leave", "qualificationsBasic" : "Excellent Spanish and English skills, Communication skills, Patience, Curiosity, Persistence, Organizational skills, Attention to detail", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At SumUp, we are driven to empower small businesses across the globe by de-hassling their lives and helping them to succeed. Our vision as a global FinTech company is to build the first-ever global card acceptance brand, and we are well on our way as small businesses in over 31 countries around the world rely on SumUp to get paid.If you would like to be part of a global team, putting business partnering and innovation in the core of its priorities, this might be the right role for you. Join our dynamic and international Customer Support team, specializing in Risk & Fraud. Our team spans across four continents, bringing together diverse talents from over 60 countries. We thrive on challenges and collaborate seamlessly to ensure the success of small businesses globally. What you’ll be doing: Proactively addressing a variety of transaction-related requests from our merchants while adhering to security rules and procedures. Acting as the voice of our internal Risk and Fraud Team by contacting merchants and verifying documents based on risk assessments. Monitoring merchant behavior in compliance with AML and internal T&Cs rules. Utilizing decision-making abilities for reviewing customer business and adjusting payment limits. Providing support to Dutch and English-speaking customers through various communication channels, via phone, chat or email. The role primarily involves specialized security calls with low phone volume, and each issue is handled through the most suitable channel. You’ll be great for this role if: You possess excellent language skills in both Spanish and English Communication is your strength, and you handle customer interactions with ease and patience. Curiosity and persistence drive you to solve issues efficiently. Your organizational skills shine, even in stressful situations Attention to detail is a defining characteristic Why you should join SumUp: \uD83C\uDF0D You’ll play a key role in a scale-up that in turn is part of a truly global team of 3000+ people from 60+ countries, spread across 4 continents. \uD83D\uDE80 You'll have the opportunity to make an impact irrespective of your job description. You'll have the space to drive your career and take ownership of projects. \uD83D\uDCAF You'll get a Referral bonus if your friend is hired successfully. \uD83C\uDF34 You’ll receive 25 days’ paid leave, increasing with tenure, and paid vacation for certain occasions. \uD83D\uDD0B You’d enjoy a paid 1 month Sabbatical vacation after 3 years. \uD83D\uDCDA You’ll receive an individual learning budget and can take 10 days educational leave to expand your skillset. \uD83C\uDF4E You’d have monthly digital food vouchers. ⭐️ You’d have monthly budget for a wide choice of benefits and discounts ranging from transport, food, learning and more (re:benefit platform) \uD83D\uDE8C\uD83C\uDF57\uD83D\uDCA1\uD83C\uDF81. ❤️ You'd have access to additional health insurance, life insurance and co-sponsored Multisport card \uD83C\uDFBE. \uD83D\uDC9C You’d enjoy funded therapy & coaching sessions with licensed psychotherapists. \uD83D\uDC76\uD83C\uDFFC You’d enjoy a child birth/adoption bonus. \uD83D\uDE8C You’d have access to a free shuttle buses from Joliot-Curie metro station and more. This job is on-site - Sofia MORE ABOUT US: We believe in the everyday hero.Small business owners are at the heart of all we do, so we create powerful, easy-to-use financial solutions to help them run their businesses. With a founder’s mentality and a 'team-first’ attitude, our diverse teams across Europe, South America and the United States work together to ensure that the small business owners we partner with can be successful doing what they love. SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.SumUp will not accept unsolicited resumes from any source other than directly from a candidate. #SumUpOps Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.", "summaryDescription" : "Merchant Security Expert with Spanish and English at SumUp. Skills: Merchant security, Risk and fraud. Address transaction-related requests. Adhere to security rules", "postedDate" : "2026-06-15T23:20:21.794", "createdAt" : "2026-06-15T23:20:21.794", "lastUpdated" : "2026-06-16T09:36:44.092", "ingestTimestamp" : "2026-06-15T23:20:21.794", "mongoId" : "6a3051cbf292fd229cf06d4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Merchant security", "Risk and fraud", "Decision making", "AML rules", "Internal T&Cs rules" ], "skillCount" : 5, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d25", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:39:42.737", "fingerprint" : "f189dad85d0178b4fb4f4d5d3a02dc6ff4fe6528021c331d657300ba4d0e4a85", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "externalId" : "7d7d3df1-a764-4b2a-b65b-8a777a30d0ee", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:30.857", "lastUpdated" : "2026-06-16T07:39:42.737", "ingestTimestamp" : "2026-06-15T22:01:30.857", "mongoId" : "6a305649f292fd229cf26d25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d20", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:13:39.463", "fingerprint" : "50923704d9285932d87355c66f615fb628a3dee944399657d3377b2bbf68aeb2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "externalId" : "74feb277-9aca-4907-914e-e556ee6f95b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:18.805", "lastUpdated" : "2026-06-16T06:13:39.463", "ingestTimestamp" : "2026-06-15T22:01:18.805", "mongoId" : "6a305649f292fd229cf26d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7f7274d8ee00a0955693", "title" : "Automation and Equipment Engineering Intern", "company" : "Veracyte", "industry" : "Biotech", "salary" : { "min" : 48000.0, "max" : 68000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Automation and Equipment Engineering Intern in San Diego, biotech industry, adjusted for company size and seniority." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-15T09:15:22.701", "fingerprint" : "3e6cbd3c83942fefb0b74c3e6bf52cef862d14ebfc0f0fba82522e26562d92eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://veracyte.com/job-detail?gh_jid=5162435007", "externalId" : "5162435007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python", "professionalSkills" : [ "Process improvement", "Inventory management" ], "hardSkillsList" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods" ], "hardSkills" : [ { "name" : "Equipment calibration", "level" : "intermediate" }, { "name" : "Equipment verification", "level" : "intermediate" }, { "name" : "Equipment validation", "level" : "intermediate" }, { "name" : "Equipment reliability", "level" : "intermediate" }, { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Liquid handling methods", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Equipment Engineering, Laboratory Automation", "majorSkillsList" : [ "Automation Engineering", "Equipment Engineering", "Laboratory Automation" ], "coreResponsibilities" : "Support process improvement projects, Support automation projects, Explore development of lab automation scripts, Explore integration with multiple devices, Assist with inventory management, Maintain a safe lab environment, Adhere to safety protocols, Adhere to quality protocols, Present project progress, Present data, Present technical insights", "teamCollaboration" : "Working with software systems; Working with physical systems; Contributing as part of a team", "domainKnowledge" : "Cancer diagnostics; Laboratory Automation", "domainList" : [ "cancer-diagnostics", "laboratory-automation" ], "domainSpecificKnowledge" : [ "Cancer diagnostics", "Laboratory Automation" ], "documentationSkills" : "Document work clearly", "continuousLearning" : "Learn and grow within a purpose driven environment", "innovationCreativity" : "Pursue bold ideas", "problemSolvingSkills" : "Solving practical problems", "specialRequirements" : "Part time, 20-30 hours a week, Approximately 12 weeks, June-September", "qualificationsBasic" : "Bachelor's degree in engineering, Bachelor's degree in computer science, Bachelor's degree in biology, Minimum cumulative GPA of 3.0, Working knowledge of Python, Attention to detail, Organizational skills, Ability to follow written procedures, Document work clearly", "qualificationsPreferred" : "Previous lab experience in biotech, Working in an academic lab is a plus, Communication skills, Willingness to collaborate across teams", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen: We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply: We show up with integrity, kindness, and respect for one another. The Position: Veracyte is seeking an exceptional candidate for a summer internship in the Automation and Equipment Engineering teams. The Automation team is responsible for designing, programming, implementing, and maintaining complex automated liquid handling methods to support cancer patient diagnostics. Additionally, the Equipment Engineering team is responsible for the calibration, verification, validation, reliability, and repair of common and complex equipment within Veracyte’s laboratories. This role is a fantastic opportunity to gain hands-on, applied skills in the cutting-edge field of Laboratory Automation and Equipment Engineering, gaining experience with industry-leading equipment and tools. The role will be part time, 20-30 hours a week, for approximately 12 weeks from June-September at our labs in San Diego, California. What You’ll do: Support process improvement and automation projects within the laboratory Explore development of lab automation scripts and integration with multiple devices using python Assist with inventory management of equipment spare parts Maintain a safe and organized lab environment, strictly adhering to all safety and quality protocols Present project progress, data, and technical insights to the team and department Who You Are: You are curious, organized, and motivated to learn by doing. You enjoy solving practical problems, working with both software and physical systems, and contributing as part of a team. Candidates must be able to work from 9:00 a. m. - 5:30 p.m., Monday through Friday in our San Diego, CA laboratory facilities. Qualifications Currently pursuing a Bachelor's degree in engineering, computer science, biology, or a related technical field minimum cumulative GPA of 3.0 Working knowledge of Python Strong attention to detail and organizational skills Ability to follow written procedures and document work clearly Comfortable working in a laboratory or technical environment Previous lab experience in biotech or working in an academic lab is a plus Strong communication skills and willingness to collaborate across teams #LI-Onsite The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $23—$27 USD What We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com", "summaryDescription" : "Automation and Equipment Engineering Intern at Veracyte. Skills: Automation Engineering, Equipment Engineering, Laboratory Automation. Support process improvement projects. Support automation projects", "postedDate" : "2026-06-14T02:14:00.757", "createdAt" : "2026-06-14T02:14:00.757", "lastUpdated" : "2026-06-15T09:15:22.701", "ingestTimestamp" : "2026-06-14T02:14:00.757", "mongoId" : "6a2c7f7274d8ee00a0955693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 68000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods", "Automation Engineering", "Equipment Engineering", "Laboratory Automation", "Process improvement", "Inventory management", "Cancer diagnostics" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a770f0b99d58ffb7de", "title" : "Principal Program Manager, xBR Analytics & Automation", "company" : "ADCI MAA 15 SEZ - K20", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Retail", "salary" : { "min" : 5500000.0, "max" : 8500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Program Manager in Chennai, India, adjusted for executive seniority, senior experience, and the technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-14T23:52:05.156", "fingerprint" : "2e517980358a4ea4a7bff88ad7b5624dd49ed31cceb4b58f2c2d703218eb1e7c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134252/apply", "externalId" : "cf5b523e-18cb-46d6-a76f-7726296b8b4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Leadership analytics", "Data governance", "Narrative intelligence" ], "hardSkillsList" : [ "Roadmap execution", "Process automation", "Data analysis", "Metrics communication" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Roadmap execution", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Automation roadmap, Leadership analytics, GenAI decision systems", "majorSkillsList" : [ "Automation roadmap", "Leadership analytics", "GenAI decision systems" ], "coreResponsibilities" : "Define automation roadmap, Own automation roadmap, Drive cross-org alignment, Establish leadership analytics framework, Establish data governance model, Operationalize AI-ready workflows, Ensure workflow accuracy, Ensure workflow narrative depth, Ensure workflow defensibility, Ensure workflow contextual intelligence, Partner with Tech teams, Partner with Science teams, Partner with Product teams, Prioritize roadmap milestones, Ensure scalable implementation, Establish governance, Establish rollout playbooks, Establish adoption mechanisms, Transition leadership reporting, Mentor PMs, Mentor BAs, Mentor BIEs, Scale capability across PMs, Scale capability across BAs, Scale capability across BIEs", "teamCollaboration" : "Cross-org alignment; Global stakeholders; Tech teams; Science teams; Product teams", "projectManagementSkills" : [ "Roadmap execution", "Program management", "Project management" ], "domainKnowledge" : "Leadership analytics; GenAI; Decision systems", "domainList" : [ "leadership-analytics", "genai", "decision-systems" ], "domainSpecificKnowledge" : [ "Leadership analytics", "GenAI", "Decision systems" ], "communicationSkills" : "Communicate results; Senior leadership communication", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "10+ years cross functional experience, 10+ years program management, 7+ years managing senior leadership communication, Experience implementing repeatable processes, Experience driving automation, Experience driving standardization", "qualificationsPreferred" : "Delivering projects within scope, Delivering projects within time, Delivering projects within budget, Delivering projects within quality", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Principal Program Manager in RBS will lead the end-to-end strategy, roadmap execution, and global rollout of automated leadership analytics. This role will drive the transformation of leadership reporting mechanisms into conversational, on-demand insights. The Principal PM will establish the Leadership Analytics Framework, align global stakeholders, and operationalize mechanisms that ensure leadership metrics, insights, and narratives are accurate, auto-generated, and consumable conversationally by Senior leaders. The role will serve as the single-threaded owner guiding adoption, prioritization and execution of from manually authored decks to fully automated, institutionally trusted, GenAI-native decision systems. Key job responsibilities 1. Define and own the multi-year automation roadmap for automating xBRs reviewed at Senior leadership level 2. Drive cross-org alignment across multiple functions across Amazon to establish a unified leadership analytics framework and data governance model. 3. Operationalize AI-ready leadership review workflows, ensuring accuracy, narrative depth, defensibility, and contextual intelligence. 4. Partner with Tech, Science, and Product teams to prioritize roadmap milestones and ensure scalable implementation of narrative intelligence 5. Establish governance, rollout playbooks, and adoption mechanisms, transitioning leadership reporting from traditional deck-based systems to conversational, real-time analytics. 6. Mentor and scale capability across PMs, BAs, and BIEs to ensure long-term sustainability of automation and GenAI-led decision frameworks. Basic Qualifications: - 10+ years of working cross functionally with tech and non-tech teams experience - 10+ years of program or project management experience - 7+ years of managing, analyzing and communicating results to senior leadership experience - Bachelor's degree - Experience implementing repeatable processes and driving automation or standardization Preferred Qualifications: - Experience delivering projects within scope, time, budget and quality Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Principal Program Manager, xBR Analytics & Automation at ADCI MAA 15 SEZ - K20. Skills: Automation roadmap, Leadership analytics, GenAI decision systems. Define automation roadmap. Own automation roadmap", "postedDate" : "2026-06-13T03:32:33.487", "createdAt" : "2026-06-13T03:32:33.487", "lastUpdated" : "2026-06-14T23:52:05.156", "ingestTimestamp" : "2026-06-13T03:32:33.487", "mongoId" : "693072a770f0b99d58ffb7de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3134252/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Roadmap execution", "Process automation", "Data analysis", "Metrics communication", "Leadership", "Mentoring", "Automation roadmap", "Leadership analytics", "GenAI decision systems", "Data governance", "Narrative intelligence", "Program management", "Project management", "GenAI", "Decision systems" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6bb074d8ee00a0914043", "title" : "Automation and Controls Software Engineer", "company" : "Varda Space Industries", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Automation and Controls Software Engineer in El Segundo, United States, adjusted for the aerospace industry and company size." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-15T07:32:55.415", "fingerprint" : "0e051f4f1b6d3cd12e385ded31022e1c4c6023c4ba9dfa66d6290c77ff1d861c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vardaspace/jobs/7770810003", "externalId" : "7770810003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, PLC, EtherCAT, TwinCAT 3, IEC 61131-3, Modbus, RS-232, RS-485", "professionalSkills" : [ "Test automation", "Industrial automation", "Controls engineering", "Electrical design", "System integration" ], "hardSkillsList" : [ "Hardware control", "Test automation applications", "Real-time control implementation", "High-frequency control applications", "Electrical panel design", "System commissioning" ], "hardSkills" : [ { "name" : "Hardware control", "level" : "intermediate" }, { "name" : "Test automation applications", "level" : "intermediate" }, { "name" : "Real-time control implementation", "level" : "intermediate" }, { "name" : "High-frequency control applications", "level" : "intermediate" }, { "name" : "Electrical panel design", "level" : "intermediate" }, { "name" : "System commissioning", "level" : "intermediate" } ], "majorSkills" : "Automation, Controls, Software engineering, Hardware integration", "majorSkillsList" : [ "Automation", "Controls", "Software engineering", "Hardware integration" ], "coreResponsibilities" : "Design test systems, Build test systems, Maintain test systems, Integrate with external hardware, Develop PLC framework, Extend EtherCAT tooling, Contribute to architecture decisions, Build cabinets, Wire panels, Own systems end-to-end, Partner with teams, Champion sustainable practices", "teamCollaboration" : "Propulsion teams; Avionics teams; GNC teams; Manufacturing teams", "domainKnowledge" : "Spaceflight hardware; Ground support equipment; Propulsion test stands; Environmental chambers; Spacecraft integration testing; In-orbit pharmaceutical processing; Reentry capsules; Orbital economy", "domainList" : [ "spaceflight-hardware", "ground-support-equipment", "propulsion-test-stands", "environmental-chambers", "spacecraft-integration-testing", "in-orbit-pharmaceutical-processing", "reentry-capsules", "orbital-economy" ], "domainSpecificKnowledge" : [ "Spaceflight hardware", "Ground support equipment", "Propulsion test stands", "Environmental chambers", "Spacecraft integration testing", "In-orbit pharmaceutical processing", "Reentry capsules", "Orbital economy" ], "toolProficiency" : [ "TwinCAT 3" ], "innovationCreativity" : "Shape test automation", "specialRequirements" : "U.S. persons only", "qualificationsBasic" : "Bachelor's degree in Engineering, 2+ years industry experience, Python skills, Hands-on hardware integration, Modern PLC ecosystem experience, Comfort working across full stack, Thrive in fast-paced startup", "qualificationsPreferred" : "Custom control frameworks experience, Advanced EtherCAT expertise", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Varda Low Earth orbit is open for business. Varda is accelerating the development of commercial space infrastructure, from in-orbit pharmaceutical processing to reliable and economical reentry capsules. From life-saving pharmaceuticals to more powerful fiber optics, there is a world of products used on Earth today that can only be manufactured in space. Varda is accelerating innovation in the orbital economy by creating both the products and infrastructure needed so space can directly benefit life on Earth. Our mission is to expand the economic bounds of humankind. Our team is uniquely suited to accomplishing this goal, with leadership and staff comprised of veterans from SpaceX, Blue Origin, major pharmaceutical companies and Silicon Valley. Varda was founded in January 2021 by Will Bruey and Delian Asparouhov with significant backing from world class investors including Khosla Ventures, Lux Capital, Founders Fund, Caffeinated Capital, General Catalyst, and Also Capital. Varda is headquartered in El Segundo, California, where we have offices and a production facility where our vehicles, equipment, and materials are built, integrated, and tested. Varda also has offices in Washington, DC and Huntsville, AL. Join Varda, and work to create a bustling in-space ecosystem. About the Role As an Automation and Controls Software Engineer at Varda, you will be at the center of one of the most technically demanding challenges in the industry: building the bespoke test infrastructure that qualifies spaceflight hardware for orbit. This is not a role for someone who wants to work inside a well-worn playbook. You will design, build, and own sophisticated ground support equipment (GSE) and test systems — from propulsion test stands to environmental qualification chambers to full spacecraft-level integration testing. You will work at the intersection of software, electrical, and mechanical domains, collaborating with propulsion, avionics, GNC, and manufacturing teams to deliver infrastructure that meets demanding timelines. Our stack is intentionally modern and software-engineering-focused, including a custom PLC framework and EtherCAT tooling built in-house. We want engineers who are energized — not intimidated — by the opportunity to shape how test automation is done across an entire organization. This is a high-ownership role on a small, growing team. You will have a meaningful voice in architecture decisions and the chance to define standards that will outlast any single program. If you thrive when the scope is broad, the stakes are real, and the problems are genuinely novel, this is your role. Responsibilities Design, build, and maintain test systems and ground support equipment (GSE) for flight hardware qualification and manufacturing operations. Integrate with a wide range of external hardware, including thermal vacuum chambers, ovens, chillers, pressure systems, data acquisition hardware, and precision instrumentation. Develop and extend Varda's internal PLC framework and EtherCAT tooling to support evolving program needs. Contribute to architecture decisions on real-time control implementation, including evaluation of PLC-based (TwinCAT 3) versus Linux-based approaches for high-frequency control applications. Build cabinets, wire panels, and own systems end-to-end — from electrical design through commissioning. Partner with propulsion, avionics, GNC, and manufacturing teams to deliver test infrastructure that meets their needs on aggressive timelines. Champion sustainable engineering practices that enable new engineers to ramp quickly on the tech stack and maintain production systems reliably. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field. 2+ years of industry experience in test automation, controls, or industrial automation. Strong Python skills, particularly for hardware control or test automation applications. Hands-on experience integrating with industrial hardware over protocols such as EtherCAT, Modbus (TCP/RTU), RS-232/485 serial, or similar communication standards. Experience with at least one modern PLC ecosystem — ideally Beckhoff TwinCAT 3 with structured text (IEC 61131-3) — or a demonstrated eagerness to develop deep expertise there. Comfort working across the full stack: writing control software, designing electrical panels, wiring cabinets, and debugging hardware. Proven ability to thrive in a fast-paced startup environment where priorities shift, and end-to-end ownership of problems is expected. Preferred Skills and Qualifications Experience working with custom or in-house control frameworks, rather than relying solely on vendor-provided stacks. Advanced EtherCAT expertise beyond consumer-level usage — including DC sync, ENI configuration, master implementation, or driver-level work. Production experience with TwinCAT 3, structured text, and the broader IEC 61131-3 language suite. Experience designing deterministic, hard real-time control loops with sub-millisecond cycle times. Strong intuition for when to use real-time PLC code versus higher-level Python orchestration, and a clear understanding of the tradeoffs between the two. Bare-metal or embedded firmware development experience. Experience with Docker and DevOps tooling for test infrastructure deployment and reproducibility. Familiarity with time-series data acquisition and visualization tools such as Grafana, InfluxDB, or similar platforms. Aerospace experience, particularly in spacecraft testing or GSE development. Environmental test experience, including TVAC, thermal cycling, and vibration testing. Hands-on experience working with high-pressure gas or fluid systems. Experience developing propulsion test stands or other complex, multi-subsystem test infrastructure. Familiarity with spacecraft qualification standards and associated documentation requirements. Experience developing safety-related control systems and evaluating proposed solutions for reducing safety-related risks. Compensation & Benefits Base salary range: $114,000 – $184,000 per year, commensurate with skills, experience, education, and performance. Eligible for incentives in the form of stock options and/or long-term cash awards. On-site role in El Segundo, CA. Leveling and base salary are determined by job-related skills, education level, experience level, and job performance Varda Space Industries is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. Benefits Varda offers a comprehensive benefits package designed to support health, financial well‑being, and a high‑quality workplace experience. Below is an overview of what full‑time employees receive (at this time, interns receive a subset of benefits): Health & Wellness Flexible PTO policy + 12 paid holidays 100% company-paid Medical, Dental, and Vision insurance plans for employees and dependents with FSA and employer-matched HSA options Voluntary accident, hospital, critical illness, and pet insurance $120/month wellness reimbursement for gym and fitness expenses 12 weeks of parental leave (with supplemental disability leave for CA mothers) Family building, pregnancy, parenting and menopause benefits via Maven Clinic Sponsored One Medical memberships for employees and their dependents Financial & Retirement Substantial incentive equity in a fully funded space start-up 401(k) retirement plan with 6% employer match (immediately vested) $20/pay period cell phone reimbursement Relocation support for new hires, if needed Workplace Experience & Perks Fully stocked kitchen with lunch provided daily and dinner provided twice weekly Company and team-bonding events, happy hours and mission-success celebrations Complimentary EV charging Dog-friendly office space \uD83D\uDC15 ITAR Requirements Varda, like all employers, must ensure that its employees working in the United States are lawfully authorized to work in the U. S. Additionally, our employees are exposed to and have access to certain export-controlled items. At present, some of our technology to which employees have access requires a license to be exported to individuals other than “U. S. Persons” as defined in U. S. export regulations. Because our employees are provided access to export-controlled items, our current policy is to only hire “U. S. persons” who are permitted to have access to our technology without an export license. “US person” means: U. S. citizen, U. S. lawful permanent resident, or protected individual as defined by 8 U.S. C. 1324b(a)(3) (i.e., individual admitted to the U. S. as a refugee or granted asylum in the U.S.) Learn more about the ITAR here. E-Verify Statement Varda Space Industries, Inc. participates in the U. S. Department of Homeland Security E-Verify program. The E-Verify program is an Internet-based employment eligibility verification system operated by the U. S. Citizenship and Immigration Services. Learn more about the E-Verify program. E-Verify Notice Right To Work Notice Read more Read more", "summaryDescription" : "Automation and Controls Software Engineer at Varda Space Industries. Skills: Automation, Controls, Software engineering, Hardware integration. Design test systems. Build test systems", "postedDate" : "2026-06-14T04:14:43.873", "createdAt" : "2026-06-14T04:14:43.873", "lastUpdated" : "2026-06-15T07:32:55.415", "ingestTimestamp" : "2026-06-14T04:14:43.873", "mongoId" : "6a2c6bb074d8ee00a0914043", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Hardware control", "Test automation applications", "Real-time control implementation", "High-frequency control applications", "Electrical panel design", "System commissioning", "Automation", "Controls", "Software engineering", "Hardware integration", "Test automation", "Industrial automation", "Controls engineering", "Electrical design", "System integration", "Spaceflight hardware", "Ground support equipment", "Propulsion test stands", "Environmental chambers", "Spacecraft integration testing", "In-orbit pharmaceutical processing", "Reentry capsules", "Orbital economy", "TwinCAT 3" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f95f292fd229c05b053", "title" : "Hardware Validation Lead, Platforms", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Hardware Validation Engineer in Sunnyvale, CA, adjusted for the technology industry and lead seniority." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T10:56:20.954", "fingerprint" : "2fdc2f7b269020080cfe5d0f879286aa7859825dc6ef38ffdd2ddcdcafcc7c1a", "source" : "google", "language" : "en", "externalId" : "100462227160474310", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : false, "summaryDescription" : "Hardware Validation Lead, Platforms", "postedDate" : "2026-06-16T01:50:12.243", "createdAt" : "2026-06-16T01:50:12.243", "lastUpdated" : "2026-06-16T10:56:20.954", "ingestTimestamp" : "2026-06-16T01:50:12.243", "mongoId" : "6a307f95f292fd229c05b053", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd04d74d8ee00a0a2febe", "title" : "Digital Automation Platform Manager", "company" : "HDR", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Omaha, United States, adjusted for company size and seniority." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "Power Platform Solution Architect", "Power Platform Functional Consultant", "Power BI", "Power Platform Developer" ], "timestamp" : "2026-06-16T01:45:02.399", "fingerprint" : "bd767b53d3131004bb2946f348c2471fa47335eeb813de24afdf07e19937feb5", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783335", "externalId" : "783335", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Microsoft Power Platform, Google Workspace, AppSheet, Apps Script, Azure, BigQuery, APIs, Connectors, Gateways, Middleware, IPaaS", "professionalSkills" : [ "Platform governance", "Solution delivery", "Vendor management", "Budget management", "Stakeholder management", "Citizen development" ], "hardSkillsList" : [ "Low-code development", "Automation", "Capacity planning", "Service management", "Problem management", "ALM", "CI/CD", "Risk management", "Compliance", "Data governance", "Access management", "Lifecycle management", "Reporting", "Budget forecasting", "Spend optimization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Low-code development", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Service management", "level" : "intermediate" }, { "name" : "Problem management", "level" : "intermediate" }, { "name" : "ALM", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Compliance", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Access management", "level" : "intermediate" }, { "name" : "Lifecycle management", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Budget forecasting", "level" : "intermediate" }, { "name" : "Spend optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Low-code platforms, Automation platforms, Platform governance, Citizen development", "majorSkillsList" : [ "Low-code platforms", "Automation platforms", "Platform governance", "Citizen development" ], "coreResponsibilities" : "Lead a team of platform administrators, Coach a team of platform administrators, Develop a team of platform administrators, Set goals for team, Provide feedback to team, Support career development for team, Own strategy for enterprise low-code automation platforms, Own roadmap for enterprise low-code automation platforms, Own operating model for enterprise low-code automation platforms, Establish platform governance, Enforce platform governance, Oversee platform administration, Oversee platform monitoring, Oversee platform reliability, Oversee platform capacity, Oversee platform licensing/subscriptions, Manage incidents with IT partners, Manage problem management with IT partners, Drive solution delivery using platform capabilities, Define reusable components, Maintain reusable components, Define templates, Maintain templates, Define connectors/integration patterns, Maintain connectors/integration patterns, Define ALM/CI-CD approaches, Maintain ALM/CI-CD approaches, Partner with Information Security, Partner with Risk/Compliance, Partner with Data Governance, Partner with Enterprise Architecture, Enable citizen development programs, Govern citizen development programs, Identify automation opportunities, Measure automation outcomes, Maintain KPI dashboards, Maintain executive reporting, Manage vendor relationships, Coordinate with Microsoft support, Coordinate with Google support, Evaluate platform add-ons, Recommend platform add-ons, Evaluate related tooling, Recommend related tooling, Develop budget forecasts, Manage budget forecasts, Optimize spend, Document standards, Document procedures, Document reference architectures, Ensure operational readiness, Ensure knowledge transfer", "teamCollaboration" : "IT partners; Information Security; Risk/Compliance; Data Governance; Enterprise Architecture; Microsoft support; Google support", "projectManagementSkills" : [ "Roadmap planning", "ALM", "CI/CD" ], "domainKnowledge" : "Low-code platforms; Automation; Microsoft ecosystem; Google ecosystem; Data platforms; Analytics ecosystems; Integration patterns; Application integration; Data integration; Cloud-native architecture", "domainList" : [ "low-code-platforms", "automation", "microsoft-ecosystem", "google-ecosystem", "data-platforms", "analytics-ecosystems", "integration-patterns", "application-integration", "data-integration", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Low-code platforms", "Automation", "Microsoft ecosystem", "Google ecosystem", "Data platforms", "Analytics ecosystems", "Integration patterns", "Application integration", "Data integration", "Cloud-native architecture" ], "toolProficiency" : [ "Microsoft Power Platform", "Google Workspace", "AppSheet", "Apps Script" ], "communicationSkills" : "Executive reporting", "documentationSkills" : "Document standards; Document procedures; Document reference architectures", "problemSolvingSkills" : "Translate business problems", "outcomesObjectives" : "Reduce cycle time; Improve quality; Increase adoption; Achieve ROI", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, Minimum 8 years of experience delivering business applications, workflow automation, or analytics solutions, At least 2 years leading teams and/or platform programs, Working knowledge of identity and access management, Working knowledge of information security principles, Working knowledge of data governance concepts, Experience integrating SaaS platforms, Experience integrating enterprise systems using APIs, Experience integrating enterprise systems using connectors, Experience integrating enterprise systems using gateways, Experience integrating enterprise systems using middleware/iPaaS patterns, Strong stakeholder management skills, Ability to translate business problems into scalable platform solutions, Ability to translate business problems into scalable platform standards", "qualificationsPreferred" : "Power Platform certifications, Experience implementing a Power Platform Center of Excellence, Operating citizen-developer programs at scale, Experience with Google Workspace administration, Experience with Google Workspace security controls, Familiarity with SDLC practices for low-code platforms, Experience with data platforms, Experience with analytics ecosystems, Experience with application development standards, Experience with application development practices, Experience with related platforms, Knowledge of integration platforms, Knowledge of integration best practices, Demonstrated experience building KPI frameworks, Experience reporting on adoption, Experience reporting on value, Experience reporting on risk, Experience with Microsoft Power Platform, Experience with Google's low-code/automation ecosystem, Experience with governance/administration practices within Google Workspace", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. •Lead, coach, and develop a team of platform administrators, developers, and citizen-development enablement resources; set goals, provide feedback, and support career development. •Own the strategy, roadmap, and operating model for enterprise low-code automation platforms across Microsoft and Google ecosystems. •Establish and enforce platform governance, including environment/project provisioning, data loss prevention (DLP) and policy controls, access management, standards, naming conventions, and lifecycle management. •Oversee platform administration, monitoring, reliability, capacity, licensing/subscriptions, and service health; manage incidents and problem management with IT partners. •Drive solution delivery using platform capabilities (apps, workflows/automations, integrations, bots/agents where applicable, and analytics) from intake through design, build, test, release, and support. •Define and maintain reusable components, templates, connectors/integration patterns, and ALM/CI-CD approaches appropriate for low-code solutions. •Partner with Information Security, Risk/Compliance, Data Governance, and Enterprise Architecture to ensure secure-by-design and compliant implementations. •Enable and govern citizen development programs, including training, community of practice, intake/triage, solution reviews, and guardrails. •Identify automation opportunities and measure outcomes (e.g., cycle time reduction, quality improvements, adoption, and ROI); maintain KPI dashboards and executive reporting. •Manage vendor relationships and coordinate with Microsoft/Google support as needed; evaluate and recommend platform add-ons and related tooling. •Develop and manage budget forecasts related to licensing, tooling, and training; optimize spend while meeting business needs. •Document standards, procedures, and reference architectures; ensure operational readiness and knowledge transfer. Preferred Qualifications •Power Platform certifications (e.g., Power Platform Solution Architect, Power Platform Functional Consultant, Power BI, or Power Platform Developer) or equivalent demonstrated expertise. •Experience implementing a Power Platform Center of Excellence (CoE) and operating citizen-developer programs at scale. •Experience with Google Workspace administration and security controls relevant to automation solutions. •Familiarity with SDLC practices for low-code platforms, including testing approaches, release management, and support models. •Experience with data platforms and analytics ecosystems (e.g., Azure, BigQuery) and enterprise integration patterns. •Experience with application development standards, practices and related platforms. •Knowledge of integration platforms and best practices when it comes to application and data integration. •Demonstrated experience building KPI frameworks and reporting on adoption, value, and risk. •Experience with Microsoft Power Platform (administration and/or solution delivery), including governance concepts such as environments, DLP policies, connectors, and ALM. •Experience with Google’s low-code/automation ecosystem (e.g., AppSheet and/or Apps Script) and governance/administration practices within Google Workspace. Required Qualifications •Bachelor’s degree or equivalent practical experience. •Minimum 8 years of experience delivering business applications, workflow automation, or analytics solutions, with at least 2 years leading teams and/or platform programs. •Working knowledge of identity and access management, information security principles, and data governance concepts. •Experience integrating SaaS platforms and enterprise systems using APIs, connectors, gateways, or middleware/iPaaS patterns. •Strong stakeholder management skills and the ability to translate business problems into scalable platform solutions and standards.", "summaryDescription" : "Digital Automation Platform Manager at HDR. Skills: Low-code platforms, Automation platforms, Platform governance, Citizen development. Lead a team of platform administrators. Coach a team of platform administrators", "createdAt" : "2026-06-14T18:57:19.693", "lastUpdated" : "2026-06-16T01:45:02.399", "ingestTimestamp" : "2026-06-14T18:57:19.693", "mongoId" : "6a2cd04d74d8ee00a0a2febe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Low-code development", "Automation", "Capacity planning", "Service management", "Problem management", "ALM", "CI/CD", "Risk management", "Compliance", "Data governance", "Access management", "Lifecycle management", "Reporting", "Budget forecasting", "Spend optimization", "Leadership", "Low-code platforms", "Automation platforms", "Platform governance", "Citizen development", "Solution delivery", "Vendor management", "Budget management", "Stakeholder management", "Roadmap planning", "Microsoft ecosystem", "Google ecosystem", "Data platforms", "Analytics ecosystems", "Integration patterns", "Application integration", "Data integration", "Cloud-native architecture", "Power Platform Solution Architect", "Power Platform Functional Consultant", "Power BI", "Power Platform Developer", "Microsoft Power Platform", "Google Workspace", "AppSheet", "Apps Script" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c90fe74d8ee00a0981b4e", "title" : "VP, Information Technology and Analytics", "company" : "Solari", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for VP, Information Technology and Analytics in the United States, adjusted for executive seniority and the healthcare industry." }, "location" : "Remote, United States", "locations" : [ "Remote", "United States" ], "timestamp" : "2026-06-15T09:17:24.802", "fingerprint" : "eaea3215154ab40727255ff024cad8a8373547ab62b85aae6aee8d4292334798", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://solari-inc.org/hiring?gh_jid=5157720007", "externalId" : "5157720007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : true, "rawDescription" : "We are hiring in the following states: AZ, FL, NC, OH, OK, OR, PA, TX, GA The Job/What You’ll Do: The Vice President, Information Technology and Analytics provides strategic leadership for the organization’s enterprise technology and data initiatives, with oversight of Business Intelligence leadership and a focus on cloud transformation, data governance, AI enablement, cybersecurity alignment, and scalable digital infrastructure. This role partners with executive leadership to modernize technology capabilities, strengthen data-driven decision-making, and align enterprise systems and services with organizational strategy, operational efficiency, and long-term growth. Responsibilities: Provide executive leadership and oversight of IT Infrastructure, End User Services, Information Security, Application Development, Data, Business Intelligence, and Analytics functions through director-level leadership. Lead enterprise technology modernization initiatives, including cloud transformation, systems optimization, and digital service enhancements. Develop and maintain technology and analytics strategies, roadmaps, and priorities that support organizational goals, operational effectiveness, scalability, and long-term sustainability. Provide strategic oversight of Business Intelligence, analytics, reporting, and data science functions to support data-driven decision-making and business performance. Oversee technology and analytics budgets, vendor relationships, and contract performance to ensure responsible stewardship of organizational resources. Establish and maintain enterprise data governance, data quality, information management, and reporting standards. Build security and trust as foundational pillars of the organization's technology infrastructure and architecture, ensuring resilient and compliant operations. Lead technology risk management, cybersecurity readiness, incident response planning, disaster recovery, and business continuity strategies. Oversee enterprise technology architecture, data infrastructure, reporting platforms, and systems integration to ensure reliability, scalability, security, and operational effectiveness. Partner with executive leadership, operational leaders, and key business stakeholders to identify, prioritize, and implement technology and analytics initiatives that advance organizational objectives. Guide the evaluation, selection, implementation, and optimization of technology platforms, software solutions, equipment, and vendor-provided services. Collaborate with external partners, vendors, government agencies, technology providers, and other stakeholders to support business operations, service delivery, compliance requirements, and strategic initiatives. Develop and maintain project prioritization, portfolio management, and resource allocation processes to support effective execution of technology and analytics initiatives. Oversee enterprise technology operations and service delivery, promoting industry best practices, service excellence, and continuous improvement. Guide the adoption of emerging technologies, including artificial intelligence, automation, and advanced analytics solutions, in alignment with organizational priorities and business needs. Identify opportunities to improve operational efficiency, service delivery, and organizational effectiveness through technology innovation, systems integration, automation, and process improvement. Partner cross-functionally with Finance, Operations, Compliance, Human Resources, and other business leaders to support strategic initiatives and organizational growth. Monitor industry trends, regulatory requirements, and emerging best practices to inform technology strategy and organizational readiness. Lead, develop, and support high-performing technology and analytics teams by establishing clear expectations, fostering collaboration, and promoting professional growth. Perform other duties as assigned. Knowledge, Skills, Abilities: Collaborative, flexible and proactive leader of large teams; strategic vision and tactical implementation; innovative solutions; exceptional written, verbal and presentation skills; effective interface with Board of Directors, staff and community stakeholders; proven ability to positively impact business and culture; concurrent management of projects of all scales with accountability for deadlines, budget, communication, etc.; ability to read, comprehend and analyze large amounts of data and make data-driven decisions that prove to be impactful on the short and long-term. Ability to act professionally and maintains appropriate boundaries with clients and staff. Ability to report as scheduled to work, meetings, training, and job-related activities prepared and as scheduled. Ability to consistently demonstrate compassion and meet people with compassion; Effort, every interaction deserves my best effort; and Ownership, which drives the company's success. Maintains an open and accepting mindset by being an active learner, participating in discussions with others, trying new approaches and ideas, and being self-aware and self-reflective for continual personal, professional and leadership growth. Education CSM, CPBI certification, Preferred Masters Degree in Computer Science, Business, or related field, Required Experience/Training Specifications: Executive leadership with non-profit, preferably in the healthcare industry or human/social services; extensive industry knowledge as it relates to IT and BI systems. High level of experience in Project Management, technical translation, and innovation. Experience in leading remote teams. Working Conditions: While performing the job duties in the office or at a home office, the employee is frequently required to stand, walk, sit, and use hands; they must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Exposure to noise typical with office operations. Ability to hear and speak. Employees must maintain a stable and secure private home internet with a minimum of 50Mbps download and 5Mbps upload, and an average jitter less than 20% of latency. https://speed.cloudflare.com/ Who We Are & What We Offer: Solari is an award-winning nonprofit that operates a 24/7 crisis line serving statewide in Arizona, Oklahoma and Colorado. Our mission is to Inspire Hope through our talented and compassionate staff. Since 2007, Solari has been providing crisis contact center services and in that short time has helped thousands of individuals and families connect to the help they need. Additionally, in that short timeframe, Solari has grown to expand services to a peer-run Warm Line, Serious Mental Illness (SMI) determinations, mobile team dispatches, crisis transportation services, emergency room-based assessments, Department of Child Safety (DCS) rapid response and crisis stabilization services, telephone follow-up to those who need it, tragedy support lines and other in-kind services to the community. Friendly work environment Generous paid time off (PTO) Health benefits (Medical/Dental/Vision) that start the first of the month following the hire date Competitive compensation Convenient office locations and Hybrid Schedule On-site fitness room free to all employees (Tempe Office) Basic Life Insurance Voluntary Life, Spouse, Child Insurance Critical Illness w/free dependents Critical Illness Spouse Short Term & Long Term Disability- Starts first of the month after 90 days of employment 401K & 401K Roth - Starts first of the month after 90 days of employment United Pet Care LifeLock for identity theft LYRA EAP Program- 25 free sessions for mental health per family member Solari is proud to be an equal opportunity employer and does not unlawfully discriminate against any employee or applicant for employee per applicable federal, state, and local laws. At Solari, a diverse mix of highly talented, innovative, and dedicated people come together to make a lifetime impact on each of our Client's lives. All qualified applicants will receive equal consideration for employment. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, veteran status, marital status, creed, religion, sex, gender, gender identity, sexual orientation, ethnicity, national origin, and other legally protected group status.", "summaryDescription" : "VP, Information Technology and Analytics at Solari", "postedDate" : "2026-06-14T03:42:35.769", "createdAt" : "2026-06-14T03:42:35.769", "lastUpdated" : "2026-06-15T09:17:24.802", "ingestTimestamp" : "2026-06-14T03:42:35.769", "mongoId" : "6a2c90fe74d8ee00a0981b4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "VP", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf19022beec4dd3d8f336b", "title" : "Project Lead - Data and Analytics", "company" : "Collectiv", "industry" : "Consulting", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Project Lead - Data and Analytics in Chicago, adjusted for the consulting industry and company size." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:19:11.588", "fingerprint" : "f12367e374a02b40109d314dabfb83ad4c792739946c6417dea0b89ea7985c3a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://collectiv.breezy.hr/p/dd8333538616-project-lead-data-and-analytics", "externalId" : "dd8333538616", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Project leadership", "Business analysis", "Stakeholder management" ], "hardSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Lead client-facing initiatives, Manage initiatives from discovery, Deliver client-facing initiatives", "projectManagementSkills" : [ "Project leadership" ], "domainKnowledge" : "Cloud data services; ML frameworks; BI platforms; Cloud data stacks", "domainList" : [ "cloud-data-services", "ml-frameworks", "bi-platforms", "cloud-data-stacks" ], "domainSpecificKnowledge" : [ "Cloud data services", "ML frameworks", "BI platforms", "Cloud data stacks" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Job Title: Project Lead - Data and Analytics We are seeking a results-driven Project Lead Consultant to lead client-facing Data and AI initiatives from discovery through delivery. This role is ideal for a professional who combines strong project leadership, business analysis, and stakeholder manag", "summaryDescription" : "Project Lead - Data and Analytics at Collectiv. Skills: Data science, Data engineering, ML/AI, Business intelligence. Lead client-facing initiatives. Manage initiatives from discovery", "createdAt" : "2026-06-14T03:13:45.271", "lastUpdated" : "2026-06-15T09:19:11.588", "ingestTimestamp" : "2026-06-14T03:13:45.271", "mongoId" : "69cf19022beec4dd3d8f336b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Project leadership", "Business analysis", "Stakeholder management", "Cloud data services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79c474d8ee00a094303e", "title" : "Implementation and Client Analytics Manager", "company" : "TPR Education, LLC", "industry" : "Education", "salary" : { "min" : 80000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-15T12:02:44.538", "fingerprint" : "2a69ae3bd46a16a512768f461ca314a33503097d6d86f346bc36881d827ffea5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tpreducationllc/jobs/4274660009", "externalId" : "4274660009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "LTI, SAML, CAS, Shibboleth, SQL", "professionalSkills" : [ "Client relationship management", "Data analytics", "Technical implementation", "Project management", "Customer success", "Client services", "Technical consulting", "Program implementation", "Strategic decision-making" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Client onboarding", "Technical support", "Data visualization", "Program optimization", "Data governance" ], "softSkillsList" : [ "Problem solver", "Collaborative partner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Client onboarding", "level" : "intermediate" }, { "name" : "Technical support", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Program optimization", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" }, { "name" : "Collaborative partner" } ], "majorSkills" : "Client implementation, Data analytics, Technical integrations", "majorSkillsList" : [ "Client implementation", "Data analytics", "Technical integrations" ], "coreResponsibilities" : "Lead onboarding efforts, Lead implementation efforts, Lead technical support efforts, Manage implementation timelines, Manage launch activities, Manage training programs, Manage client communications, Build relationships with stakeholders, Serve as trusted advisor, Support client integrations, Provide expertise on technologies, Resolve technical issues, Improve implementation processes, Analyze usage data, Analyze engagement data, Analyze outcomes data, Identify trends, Identify opportunities, Identify program optimization areas, Develop client-facing reports, Develop dashboards, Develop visualizations, Develop presentations, Translate datasets into insights, Support strategic decision-making, Support reporting process development, Support analytics best practices, Support data governance standards, Improve reporting workflows, Improve implementation processes, Improve client-facing tools, Contribute to client reviews, Contribute to renewals, Contribute to impact discussions", "teamCollaboration" : "Cross-functional teams; Technical teams; Business teams", "projectManagementSkills" : [ "Project management", "Implementation timelines" ], "domainKnowledge" : "Learning Management Systems; LMS integrations; Authentication platforms; Student information systems; LTI; SAML; CAS; Shibboleth; Tutoring programs; Educational outcomes", "domainList" : [ "learning-management-systems", "lms-integrations", "authentication-platforms", "student-information-systems", "lti", "saml", "cas", "shibboleth", "tutoring-programs", "educational-outcomes" ], "domainSpecificKnowledge" : [ "Learning Management Systems", "LMS integrations", "Authentication platforms", "Student information systems", "LTI", "SAML", "CAS", "Shibboleth", "Tutoring programs", "Educational outcomes" ], "toolProficiency" : [ "Excel", "SQL", "Salesforce", "Power BI", "Tableau", "SSRS" ], "communicationSkills" : "Client-facing discussions; Written communication; Verbal communication; Presentation skills", "problemSolvingSkills" : "Solving complex problems; Translating data", "qualificationsBasic" : "Bachelor's degree, 3-5 years experience, Manage multiple implementations, Experience with LMS, Experience with LTI, Experience with SAML, Experience with CAS, Experience with Shibboleth, Advanced Excel functions, SQL", "qualificationsPreferred" : "Salesforce experience preferred, Power BI experience preferred, Tableau experience preferred, SSRS experience preferred, Higher education experience preferred, K-12 school districts experience preferred, Public libraries experience preferred, Education technology experience preferred", "rawDescription" : "About The Princeton Review The Princeton Review is a leading tutoring, test prep, and college admission services company. Every year, it helps millions of college- and graduate school–bound students achieve their education and career goals through online and in-person courses delivered by a network of more than 4,000 teachers and tutors, online resources, and its more than 150 print and digital books published by Penguin Random House. The company’s Tutor.com brand is one of the largest online tutoring services in the U. S. It comprises a community of thousands of tutors who have delivered more than 22 million one-to-one tutoring sessions. The Princeton Review is headquartered in New York, NY. Follow the company on LinkedIn, YouTube and Instagram. About the Position Interested in helping institutional partners across the country improve student outcomes through technology, data, and strategic program implementation? Join Tutor.com/The Princeton Review as an Implementation and Client Analytics Manager. This role combines technical implementation leadership, client relationship management, and data analytics expertise to support successful tutoring program launches and ongoing institutional success. You will serve as a trusted partner to colleges, universities, public libraries, and K-12 school districts by managing implementations, supporting technical integrations, and delivering meaningful reporting and insights that help clients maximize the impact of their tutoring programs. The ideal candidate enjoys solving complex problems, working cross-functionally, analyzing large datasets, and translating data into actionable recommendations for both technical and non-technical audiences. What You'll Do Client Implementation & Customer Success Lead onboarding, implementation, and technical support efforts for institutional clients adopting Tutor.com services. Manage implementation timelines, launch activities, training programs, and client communications to ensure successful deployments. Build strong relationships with institutional stakeholders while serving as a trusted advisor throughout the client lifecycle. Technical Consulting & Integrations Support client integrations with Learning Management Systems (LMS), authentication platforms, and student information systems. Provide expertise on technologies and standards including LTI, SAML, CAS, and Shibboleth. Partner with Product, Engineering, Operations, and Customer Success teams to resolve technical issues and improve implementation processes. Data Analytics & Reporting Analyze institutional usage, engagement, and outcomes data to identify trends, opportunities, and areas for program optimization. Develop client-facing reports, dashboards, visualizations, and presentations that communicate program effectiveness, ROI, and student impact. Translate complex datasets into actionable insights that support strategic decision-making for both clients and internal stakeholders. Operational Excellence & Continuous Improvement Support development of scalable reporting processes, analytics best practices, and data governance standards. Collaborate across teams to improve reporting workflows, implementation processes, and client-facing tools. Contribute to strategic client reviews, renewals, and impact discussions through data-driven storytelling and recommendations. Who You Are You have a bachelor’s degree and 3–5 years of experience in implementation, project management, customer success, client services, or a related field. You have experience managing multiple client implementations simultaneously while maintaining exceptional customer service. You have experience supporting Learning Management Systems (LMS) and related technologies, including authentication and integration standards such as LTI, SAML, CAS, and Shibboleth. You are comfortable working with data and reporting tools, including advanced Excel functions and SQL. Experience with Salesforce, Power BI, Tableau, SSRS, or similar reporting and visualization platforms is strongly preferred. You can interpret complex datasets and present insights clearly to both technical and non-technical audiences. You have strong written, verbal, and presentation skills and are comfortable leading client-facing discussions. You are highly organized, detail-oriented, and capable of managing multiple priorities in a fast-paced environment. You are a proactive problem solver who enjoys learning new technologies and identifying scalable solutions. Experience working with higher education institutions, K-12 school districts, public libraries, or education technology organizations is preferred. You are a collaborative partner who works effectively across technical and business teams. You are passionate about using data, technology, and student support services to improve educational outcomes. The Princeton Review and Tutor.com offer a competitive salary which commensurates with experience and skills. US Pay Range $80,000—$90,000 USD The Princeton Review is an equal employment opportunity employer. The Princeton Review’s policy is not to discriminate against any applicant or employee based on, and all qualified applicants will receive consideration for employment without regard to, race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, marital status, disability, military status, genetic information, or any other basis protected by applicable law. The Princeton Review also prohibits harassment of applicants or employees based on any of these protected categories. It is also The Princeton Review’s policy to comply with all applicable laws respecting consideration of unemployment status in making hiring decisions. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Review Privacy Policy for California Applicants", "summaryDescription" : "Implementation and Client Analytics Manager at TPR Education, LLC. Skills: Client implementation, Data analytics, Technical integrations. Lead onboarding efforts. Lead implementation efforts", "postedDate" : "2026-06-14T03:12:38.657", "createdAt" : "2026-06-14T03:12:38.657", "lastUpdated" : "2026-06-15T12:02:44.538", "ingestTimestamp" : "2026-06-14T03:12:38.657", "mongoId" : "6a2c79c474d8ee00a094303e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Reporting", "Client onboarding", "Technical support", "Data visualization", "Program optimization", "Data governance", "Problem solver", "Collaborative partner", "Client implementation", "Data analytics", "Technical integrations", "Client relationship management", "Technical implementation", "Project management", "Customer success", "Client services", "Technical consulting", "Program implementation", "Strategic decision-making", "Implementation timelines", "Learning Management Systems", "LMS integrations", "Authentication platforms", "Student information systems", "LTI", "SAML", "CAS", "Shibboleth", "Tutoring programs", "Educational outcomes", "Excel", "SQL", "Salesforce", "Power BI", "Tableau", "SSRS" ], "skillCount" : 37, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cddd174d8ee00a0a57bb9", "title" : "Group Director, Research and Analytics", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Research and Analytics in New York, adjusted for seniority and the US market." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T05:35:40.099", "fingerprint" : "c136058eddca72c6c6a2e9726ceef97a40027d4dc3bc55dd230df16375e336f8", "source" : "jazzhr", "language" : "en", "externalId" : "Mrz3uu09ov", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "summaryDescription" : "Group Director, Research and Analytics", "createdAt" : "2026-06-14T20:39:15.196", "lastUpdated" : "2026-06-16T05:35:40.099", "ingestTimestamp" : "2026-06-14T20:39:15.196", "mongoId" : "6a2cddd174d8ee00a0a57bb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2b40fd74d8ee00a0799178", "title" : "ITSM Service Now Developer", "company" : "Kyndryl", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior ITSM Service Now Developer in Bangalore, India, adjusted for the technology industry and a large company size." }, "location" : "Bangalore, Karnataka, India", "locations" : [ "Bangalore, Karnataka, India" ], "certifications" : [ "ServiceNow CAD", "ServiceNow Discovery", "ServiceNow Certified System Admin", "ServiceNow Implementation Specialist" ], "timestamp" : "2026-06-14T22:31:53.901", "fingerprint" : "aa3370050a886c07e2dc28ac07c34d1e459351bd3358f4c3ee8a6aff7173e6da", "source" : "workday", "language" : "en", "applyUrl" : "https://kyndryl.wd5.myworkdayjobs.com/KyndrylProfessionalCareers/job/Bangalore-Karnataka-India/ITSM-Service-Now-Developer_R-63317", "externalId" : "R-63317", "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "technicalSkills" : "ServiceNow, CMDB, API", "professionalSkills" : [ "IT Service Management", "Strategic planning", "Operational execution", "Infrastructure analysis", "System integration" ], "hardSkillsList" : [ "ServiceNow development", "API integrations", "CMDB management", "Scripting", "Configuration" ], "hardSkills" : [ { "name" : "ServiceNow development", "level" : "intermediate" }, { "name" : "API integrations", "level" : "intermediate" }, { "name" : "CMDB management", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Configuration", "level" : "intermediate" } ], "majorSkills" : "ServiceNow development, ITSM, CMDB", "majorSkillsList" : [ "ServiceNow development", "ITSM", "CMDB" ], "coreResponsibilities" : "Develop ServiceNow Solutions in the ITSM, Collaborate with Process Analyst and Architect, Keep up-to-date with new releases, Develop, configure, and customize the ServiceNow platform, Collaborate with cross-functional teams, Write clean, efficient, and maintainable code, Document code and application functionality, Stay abreast of emerging trends, Integrate ServiceNow modules with other enterprise systems, Create and update CMDB catalog items, Establish and maintain data integrations, Offer solutions, Decide whether something can be done, Identify technical and timeline risks", "teamCollaboration" : "Cross-functional teams; Client expectations; Internal challenges; Architects; Technicians; PMs", "projectManagementSkills" : [ "Agile", "Waterfall" ], "domainKnowledge" : "IT Service Management; CMDB; Service catalog", "domainList" : [ "it-service-management", "cmdb", "service-catalog" ], "domainSpecificKnowledge" : [ "IT Service Management", "CMDB", "Service catalog" ], "toolProficiency" : [ "ServiceNow platform" ], "documentationSkills" : "Documenting code; Documenting application functionality; Diagraming work", "continuousLearning" : "Gain certification; Gain qualifications; Continuous growth; Cutting-edge learning opportunities", "problemSolvingSkills" : "Problem-solving; Analytical abilities", "qualificationsBasic" : "Graduation/Post-Graduation in Computer Science, 8 to 10 years of experience in ServiceNow development, Experience with creating and maintaining ServiceNow objects, Producing and running test cases, Experience in API integrations with other systems, Proven problem-solving and analytical abilities, Excellent communication and collaboration skills, Capability to work both independently and collaboratively", "qualificationsPreferred" : "ServiceNow CAD and Discovery certifications preferred, ServiceNow Certified System Admin and Implementation Specialist in ITSM, Experience with software development methodologies such as Agile or Waterfall", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Who We Are** At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. **The Role** Infrastructure Specialists at Kyndryl are project-based subject matter experts in all things infrastructure – good at providing analysis, documenting and diagraming work for hand-off, offering timely solutions, and generally “figuring it out.” This is a hands-on role where your feel for the interaction between a system and its environment will be invaluable to every one of your clients. There are two halves to this role: First, contributing to current projects where you analyze problems and tech issues, offer solutions, and test, modify, automate, and integrate systems. And second, long-range strategic planning of IT infrastructure and operational execution. This role isn’t specific to any one platform, so you’ll need a good feel for all of them. And because of this, you’ll experience variety and growth at Kyndryl that you won’t find anywhere else. Roles and responsibilities * Develop ServiceNow Solutions in the ITSM, with minimum bugs and rework * Collaborate with Process Analyst and Architect to ensure the developed features follow ServiceNow best practices * Keeps up-to-date with the new releases and features of the ServiceNow platform. * Developing, configuring, and customizing the ServiceNow platform to fit business requirements. * Collaborating with cross-functional teams to identify and prioritize business requirements. * Writing clean, efficient, and maintainable code requires expertise to achieve. * Documenting code and application functionality. * Staying abreast of emerging trends and technologies in ServiceNow development ensures your success. * Integrate ServiceNow modules with other enterprise systems to create a seamless and efficient information flow. * Create and update CMDB catalog items, forms, and views, transform maps, IRE, Script Includes and Business rules. * Establish and maintain data integrations to ensure accuracy and consistency. You’ll be involved early to offer solutions, help decide whether something can be done, and identify the technical and timeline risks up front. This means dealing with both client expectations and internal challenges – in other words, there are plenty of opportunities to make a difference, and a lot of people will witness your contributions. In fact, a frequent sign of success for our Infrastructure Specialists is when clients come back to us and ask for the same person by name. That’s the kind of impact you can have! This is a project-based role where you’ll enjoy deep involvement throughout the lifespan of a project, as well as the chance to work closely with Architects, Technicians, and PMs. Whatever your current level of tech savvy or where you want your career to lead, you’ll find the right opportunities and a buddy to support your growth. Boredom? Trust us, that won’t be an issue. Your future at Kyndryl There are lots of opportunities to gain certification and qualifications on the job, and you’ll continuously grow as a Cloud Hyperscaler. Many of our Infrastructure Specialists are on a path toward becoming either an Architect or Distinguished Engineer, and there are opportunities at every skill level to grow in either of these directions. **Who You Are** You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical Skill Expertise * Graduation/Post-Graduation in Computer Science, Engineering, or a related field is necessary. * With 8 to 10 years of experience in ServiceNow development. * Experience with creating and maintaining ServiceNow objects like tables, business rules, client scripts, UI actions, UI policies, script includes workflows etc. Producing and running test cases to guarantee software quality. * Experience with software development methodologies such as Agile or Waterfall is desirable. * Extensive Knowledge IT Service Management (ITSM), CMDB and service catalog. * Experience in API integrations with other systems * Proven problem-solving and analytical abilities * Excellent communication and collaboration skills * Capability to work both independently and collaboratively Preferred Technical Skill Expertise * ServiceNow CAD and Discovery certifications preferred. * ServiceNow Certified System Admin and Implementation Specialist in ITSM **Being You** The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way. **What You Can Expect** Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. **Get Referred!** If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.", "summaryDescription" : "ITSM Service Now Developer at Kyndryl. Skills: ServiceNow development, ITSM, CMDB. Develop ServiceNow Solutions in the ITSM. Collaborate with Process Analyst and Architect", "postedDate" : "2026-06-12T07:20:32.961", "createdAt" : "2026-06-12T07:20:32.815", "lastUpdated" : "2026-06-14T22:31:53.901", "ingestTimestamp" : "2026-06-12T07:20:32.815", "mongoId" : "6a2b40fd74d8ee00a0799178", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://kyndryl.wd5.myworkdayjobs.com/KyndrylProfessionalCareers/job/Bangalore-Karnataka-India/ITSM-Service-Now-Developer_R-63317", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ServiceNow development", "API integrations", "CMDB management", "Scripting", "Configuration", "ITSM", "CMDB", "IT Service Management", "Strategic planning", "Operational execution", "Infrastructure analysis", "System integration", "Agile", "Waterfall", "Service catalog", "ServiceNow CAD", "ServiceNow Discovery", "ServiceNow Certified System Admin", "ServiceNow Implementation Specialist", "ServiceNow platform" ], "skillCount" : 20, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "integrate alertsite with automation analytics and itsm platforms jobs", "metadata" : { "title" : "integrate alertsite with automation analytics and itsm platforms" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 33880, "totalPages" : 678, "hasNext" : true, "hasPrevious" : false } }

Remote Integrate Alertsite With Automation Analytics And Itsm Platforms Jobs

Top Skills

Senior HR Analytics & Automation Manager

Data Scientist (Audit Analytics & Automation)

Data Scientist (Audit Analytics & Automation)

Data Scientist (Audit Analytics & Automation)

Data Scientist (Audit Analytics & Automation)

Data Scientist (Audit Analytics & Automation)

Director, Insights and Analytics

Business Development Representative (ITSM)

System Administrator (ITSM)

Automation and Analytics Program Manager, Delivery Services

Healthcare Data Automation & QA Analytics Intern

Senior Data and Analytics Engineer

Mgr, Automation and Controls Engineering

Mgr, Automation and Controls Engineering

Graduate Software Engineer (Data, Analytics, Automation & AI)

Graduate Software Engineer (Data, Analytics, Automation & AI)

Commercial Strategy and Analytics Manager

Technical Program Manager II, Infrastructure and Capacity, Platforms and Devices

IT Data Leaders: 15-Minute Survey On Analytics Platforms

Commercial Strategy and Analytics Manager

Product Manager - Head of Channels and Platforms

ITSM / Major Incident & Operations Specialist

Program Manager III, Industrial Design, Platforms and Devices

Continuous Improvement and Automation Manager

Process and Automation Engineer

Programme Director – CTO Platforms

Automation and Control System Developer

Data and Analytics Architect

Sr Manager, Distribution Insights and Analytics

Sr Manager, Distribution Insights and Analytics

Director of Reporting and Analytics

Analyst/Associate, Investment Engineering (Analytics Platforms)

Case Manager with Italian and English

Project Leader – IT Service Management (ITSM)

Automation and Controls Software Engineer

Solutions Architect IV- Data and Analytics

Merchant Security Expert with Spanish and English

Software Development Engineer, Data Analytics Integration AI and Platform Excellence

Software Development Engineer, Data Analytics Integration AI and Platform Excellence

Automation and Equipment Engineering Intern

Principal Program Manager, xBR Analytics & Automation

Automation and Controls Software Engineer

Hardware Validation Lead, Platforms

Digital Automation Platform Manager

VP, Information Technology and Analytics

Project Lead - Data and Analytics

Implementation and Client Analytics Manager

Group Director, Research and Analytics

Senior Systems Engineer, Commercial Intelligence and Analytics

ITSM Service Now Developer

Related Searches

All Integrate Alertsite With Automation Analytics And Itsm Platforms Jobs by City

More Remote Jobs

Common Questions