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Austin District Headquarters (14DISTHQ)
7901 NORTH IH 35
Austin, 78753

Bastrop Area Engr/Maint Sect (14BASTRPCO)
174 SH 21 EAST
Bastrop, 78602

North Austin Area Engr Office (14NAUSTNAE)
1001 EAST PARMER LANE, STE B
Austin, 78753

Georgetown-Willmsn Co Ae/Maint (14WLLMSNCO)
2727 SOUTH AUSTIN AVE
Georgetown, 78627

Burnet Co Area Engr/Maint Sect (14BURNETCO)
3029 SH 29 EAST
Burnet, 78611

South Travis Area Engr Office (14STRVISAE)
9725 SOUTH IH 35
Austin, 78744

, Austin District Headquarters" ], "timestamp" : "2026-06-16T06:15:12.024", "fingerprint" : "3bfc9a685725ee2d0ad072f11e2402af9d0c541305d3f70d55bd3762eec5cb5c", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42713", "externalId" : "42713", "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" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Engineering support", "Data collection" ], "majorSkills" : "Engineering support, Data collection", "majorSkillsList" : [ "Engineering support", "Data collection" ], "coreResponsibilities" : "Assist in transportation engineering support, Perform construction inspection, Perform maintenance inspection, Perform structural construction, Perform structural maintenance, Perform laboratory work, Perform landscaping, Perform surveying, Collect engineering data, Operate data collection equipment", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "toolProficiency" : [ "Data collection equipment" ], "specialRequirements" : "Valid driver’s license (if 18+), May use power tools (if 18+)", "qualificationsBasic" : "16 years old, U. S. Citizen or eligible to work, Currently enrolled as a student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is for internships during the months of May-August TxDOT's Austin District has job openings for Intern Engineering Support Techs at various offices across the Austin Metro Area. Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. At TxDOT, you will gain valuable experience working with skilled and licensed professionals to develop and enhance job skills through practical application. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: Must be 16 years old Be a U.S. Citizen or be eligible to work in the U.S. Be currently enrolled as a student at a high school, technical school, college or university. Note: Employees at least 18 years of age with a valid driver’s license may be assigned driving duties and may use power tools. Possible Work Location(s): Austin District Headquarters: 7901 North IH 35, Austin TX 78753 North Travis Area Office: 1001 E. Parmer Lane, Austin TX 78753 South Travis Area Office: 1925 S. IH 35, Austin TX 78744 Bastrop Area Office: 174 SH 21 East, Bastrop TX 78602 Burnet Area Office: 3029 SH 29 East, Burnet TX 78611 Georgetown Area Office: 2727 S Austin Ave, Georgetown TX 78626 Salary Plan/Grade: Intern Engineering Support: A11 ($18-$22/Hourly) 18.00 23.00", "summaryDescription" : "2026 Engineering Intern: Austin District - Various Locations at TxDOT. Skills: Engineering support, Data collection. Assist in transportation engineering support. Perform construction inspection", "createdAt" : "2026-06-14T20:49:37.809", "lastUpdated" : "2026-06-16T06:15:12.024", "ingestTimestamp" : "2026-06-14T20:49:37.809", "mongoId" : "69dde4492beec4dd3d9a3374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Engineering support", "Data collection", "Transportation engineering", "Data collection equipment" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c798e74d8ee00a0941d4a", "title" : "Collation Manager, 2nd Shift", "company" : "Fanatics Collectibles", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail, adjusted for Sunnyvale, CA, and company size." }, "location" : "Sunnyvale, Texas, United States", "locations" : [ "Sunnyvale", "Texas", "United States" ], "timestamp" : "2026-06-16T01:28:07.873", "fingerprint" : "3ac8a0d40d3214c3b40e927f99154a23557ac54e0e6d5a557630e1c2c0d44d32", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4209099009", "externalId" : "4209099009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7965165,-96.5608242" } ], "locationText" : "Sunnyvale, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process optimization", "Resource planning", "Cost reduction", "Efficiency improvement" ], "hardSkillsList" : [ "Lean manufacturing", "Data analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Lean manufacturing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Production management, Quality control, Safety enforcement", "majorSkillsList" : [ "Production management", "Quality control", "Safety enforcement" ], "coreResponsibilities" : "Lead manufacturing supervisors, Manage manufacturing supervisors, Supervise manufacturing supervisors, Assign tasks to supervisors, Monitor supervisor activities, Provide coaching to supervisors, Provide mentoring to supervisors, Provide performance feedback to supervisors, Ensure production targets are met, Monitor production processes, Adjust production schedules, Coordinate with other departments, Implement quality control standards, Enforce quality control standards, Inspect products for quality, Resolve production issues, Resolve quality issues, Enforce safety policies, Enforce safety procedures, Conduct safety inspections, Coordinate safety training, Identify process improvements, Implement lean manufacturing, Implement continuous improvement, Implement cost reduction projects, Implement efficiency projects, Enhance production performance, Reduce waste, Maintain production records, Submit operations reports, Document incidents, Document accidents, Document quality issues, Manage material allocation, Manage machinery allocation, Manage workforce allocation, Ensure material availability, Identify training needs, Provide training, Provide development opportunities, Implement training programs, Inform manager of leave, Facilitate communication between teams, Participate in cross-functional meetings, Communicate department matters to manager, Coordinate maintenance team, Ensure spare parts stock, Prevent equipment breakdowns, Extend machinery life, Track performance indicators, Improve production performance", "teamCollaboration" : "Cross-functional meetings; Production teams; Other departments", "domainKnowledge" : "Manufacturing processes; Lean manufacturing principles", "domainList" : [ "manufacturing-processes", "lean-manufacturing-principles" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Lean manufacturing principles" ], "documentationSkills" : "Production documentation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Lifting up to 35 pounds, Work in manufacturing environment, Work extended hours", "qualificationsBasic" : "Supervise manufacturing supervisors, Meet department production schedules, Enforce quality control standards, Enforce safety policies, Maintain production records, Manage department resources, Identify training needs, Facilitate communication between teams, Coordinate maintenance activities, Track performance indicators", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Position Summary: The Manufacturing Manager is responsible for planning, coordinating, and overseeing the production processes in a manufacturing facility. This role ensures that products are produced efficiently, on time, and within budget while meeting quality standards. The Manufacturing Manager also focuses on optimizing processes, managing staff, and maintaining safety standards. Essential Functions and Responsibilities: Supervision and Leadership Lead, manage, and supervise a team of manufacturing supervisors. Assign tasks and monitor the daily activities of the manufacturing supervisors. Provide coaching, mentoring, and performance feedback to manufacturing supervisors. Production Management: Ensure department production schedules and targets are met. Monitor departments production processes and adjust schedules as needed to meet demand. Coordinate with other departments to ensure smooth workflow and efficient production Quality Control: Implement and enforce quality control standards and procedures for responsible department. Inspect products to ensure they meet quality specifications for responsible department. Identify and resolve production and quality issues within the time frame of job schedule for responsible department. Safety and Compliance: Enforce safety policies and procedures to ensure a safe working environment for responsible department. Conduct regular safety inspections and coordinate training sessions for responsible department. Ensure compliance with all regulatory and company standards for responsible department. Continuous Improvement: Identify areas for improvement in department production process. Develop and coordinate the implementation and execution of lean manufacturing principles and continuous improvement initiatives based on the analytics of the department production processes and workflows. Develop and coordinate the implementation and execution of cost reduction and efficiency improvement projects. Use data-driven approaches to enhance production performance and reduce waste. Reporting and Documentation: Maintain accurate and updated records of department production activities and initiatives, including output, quality, inventory levels, implementations, etc. of responsible department. Prepare and submit department operations reports to department director. Document any incidents, accidents, or quality issues of responsible department. Resource Management: Manage the allocation of department materials, machinery, and workforce to optimize production efficiency. Ensure that all necessary materials and supplies are available for department production. Training and Development: Identify training needs and provide ongoing training and development opportunities for department production staff. Develop and coordinate the implementation of training programs to enhance employee skills and knowledge. Collaboration and Communication: Inform that the direct manager of any planed or unplanned leave presented during the work scheduled. Facilitate effective communication between production teams and other departments, such as engineering, quality assurance, maintenance, scheduling, security, safety and any others. Participate in cross-functional meetings to discuss and resolve production issues. Maintain open and constant communication about all department matters with the direct manager. Equipment Maintenance: Coordinate with the maintenance team the optimal stock of spare parts to reduce downtime. Ensure that maintenance activities are performed regularly to prevent equipment breakdowns and extend the life of machinery. Performance Metrics: Track key performance indicators (KPIs) to measure and improve production performance for responsible department. Use performance data to make informed decisions and drive continuous improvement initiatives for responsible department. Conflict Resolution: Address and resolve conflicts or issues among supervisors’ staff promptly and effectively. Foster a positive and collaborative work environment. Workforce Planning: Plan and schedule workforce requirements based on production forecasts and demand. Manage overtime and shift schedules to meet production goals. Team Management: Supervise and manage a team of production workers, including hiring, training, and performance evaluation. Foster a positive and productive work environment. Ensure team compliance with company policies and safety regulations. Resource Management: Manage resources efficiently, including raw materials, equipment, and labor. Coordinate with procurement to ensure timely availability of materials. Maintain inventory levels and monitor supply chain efficiency. Process Improvement: Identify areas for improvement in production processes and implement changes. Develop and implement standard operating procedures (SOPs) to enhance efficiency and productivity. Utilize lean manufacturing principles to minimize waste and optimize workflow. MINIMUM REQUIREMENTS: Education: Bachelor’s degree in Manufacturing, Engineering, Industrial Management, or a related field. Certifications: Lean Manufacturing Certification (e.g., Lean Six Sigma Green Belt or Black Belt). Certified in Production and Inventory Management (CPIM) by APICS. Project Management Professional (PMP) certification. OSHA Safety Certification. Skills/Experience: Technical Skills: Proficiency in manufacturing software (e.g., ERP systems like SAP, Oracle). Strong understanding of lean manufacturing principles and practices. Knowledge of Six Sigma methodologies. Familiarity with CAD/CAM software. Analytical Skills: Ability to analyze and interpret production data to identify trends and areas for improvement. Proficiency in statistical analysis and problem-solving techniques. Strong understanding of process optimization and efficiency improvement. Leadership and Management Skills: Proven ability to lead and motivate a team. Excellent interpersonal and communication skills. Conflict resolution and team-building abilities. Strong organizational and time management skills. Problem-Solving Skills: Ability to troubleshoot production issues and implement effective solutions. Strong decision-making capabilities. Innovative thinking to improve production processes. Project Management Skills: Ability to manage multiple projects simultaneously. Strong planning and organizational skills. Proficiency in project management software (e.g., MS Project, Trello). Quality Assurance Skills: Strong understanding of quality control procedures and standards. Ability to implement and monitor quality assurance programs. Knowledge of ISO standards and regulatory compliance. Production Experience: Extensive experience in a manufacturing or production environment. Proven track record of managing production operations and meeting production targets. Experience with implementing and managing lean manufacturing initiatives. Management Experience: Significant experience in a managerial or supervisory role within a manufacturing setting. Experience leading and developing a diverse team of production workers. Proven ability to manage and optimize resources effectively. Process Improvement Experience: Demonstrated experience in process improvement and optimization. Experience with lean manufacturing, Six Sigma, or other process improvement methodologies. Track record of implementing successful process improvement initiatives. Quality Assurance Experience: Experience in developing and maintaining quality control systems. Proven ability to manage quality assurance programs and ensure compliance with standards. Experience with conducting quality audits and addressing quality issues. Technical Experience: Experience with manufacturing technologies and equipment. Familiarity with automation and digitalization in manufacturing processes. Experience in integrating new technologies into production processes. Safety and Compliance Experience: Proven track record of maintaining safety standards and compliance in a manufacturing environment. Experience with conducting safety audits and implementing safety programs. Knowledge of OSHA regulations and other relevant safety standards. Collaboration and Cross-Functional Experience: Experience working with cross-functional teams to achieve production goals. Proven ability to collaborate effectively with other departments, such as engineering, quality assurance, and supply chain. Experience in managing supplier relationships and coordinating with external partners. PHYSICAL DEMANDS Standing and Walking: Prolonged periods of standing and walking throughout the manufacturing facility. Frequent movement within the production area to supervise and assist team members. Lifting and Carrying: Ability to lift and carry materials and equipment weighing up to 35 pounds. Occasional lifting of heavier items with the assistance of equipment or team members. Bending, Stooping, and Kneeling: Regular bending, stooping, and kneeling to inspect machinery, perform maintenance tasks, and handle materials. Flexibility to work in low positions and confined spaces as needed. Reaching and Handling: Frequent reaching overhead and below shoulder level to access materials and operate machinery. Manual dexterity to handle small parts and tools accurately. Pushing and Pulling: Ability to push and pull carts, equipment, and materials as needed within the production area. Use of Personal Protective Equipment (PPE): Regular use of PPE, including safety glasses, gloves, ear protection, and safety shoes. Compliance with all safety protocols and regulations regarding PPE usage. Work Environment: Exposure to a manufacturing environment with varying temperatures, noise levels, and potential hazards. Tolerance for working in conditions that may include dust, fumes, and strong odors. Physical Stamina: Endurance to work extended hours, including overtime, evenings, weekends, and holidays as production demands. Ability to remain alert and focused during long shifts and high-pressure situations. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Collation Manager, 2nd Shift at Fanatics Collectibles. Skills: Production management, Quality control, Safety enforcement. Lead manufacturing supervisors. Manage manufacturing supervisors", "postedDate" : "2026-06-14T21:29:08.991", "createdAt" : "2026-06-14T21:29:08.991", "lastUpdated" : "2026-06-16T01:28:07.873", "ingestTimestamp" : "2026-06-14T21:29:08.991", "mongoId" : "6a2c798e74d8ee00a0941d4a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Lean manufacturing", "Data analysis", "Leadership", "Mentoring", "Production management", "Quality control", "Safety enforcement", "Process optimization", "Resource planning", "Cost reduction", "Efficiency improvement", "Manufacturing processes", "Lean manufacturing principles" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79f174d8ee00a0943d30", "title" : "Head of Data", "company" : "CreateFuture", "industry" : "Consulting", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of Data in Edinburgh, UK, adjusted for the consulting industry and director-level experience." }, "location" : "Level 1, The Stamp Office, 10 Waterloo Pl, Edinburgh EH1 3EG", "locations" : [ "Level 1", "The Stamp Office", "10 Waterloo Pl", "Edinburgh EH1 3EG", "Leeds", "England", "United Kingdom", "London", "England", "United Kingdom", "Manchester", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:13:45.593", "fingerprint" : "a51a73307bce5687c1f473f5af64d85ceaa969b8ee8b03f95317379fa5d18f9e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/xdesign/jobs/4873679101", "externalId" : "4873679101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "state" : "Scotland", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.9533456,-3.1883749" }, { "city" : "Leeds", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.7974185,-1.5437941" }, { "city" : "Manchester", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.4424618,-2.2324547" }, { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "country" : "Bulgaria", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; Manchester, England, United Kingdom; London, England, United Kingdom; Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, Scala, Spark, Dbt, SQL, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Lakehouse architectures, Streaming architectures, Kinesis, Microsoft Fabric", "professionalSkills" : [ "Client engagement", "Deal shaping", "Pricing models", "Delivery approaches", "Commercial outcomes", "Revenue growth", "Gross margin", "Win rates", "Deal quality", "Team composition", "Hiring", "Progression management", "Performance management", "Learning investment", "Technical decision-making", "Commercial awareness", "Technical depth", "Client impact", "Pragmatic decisions" ], "hardSkillsList" : [ "Data platforms", "Analytics ecosystems", "ML lifecycle management", "MLOps", "Production AI systems", "Cloud-native data platforms", "AWS data platforms", "Lakehouse architectures", "Streaming architectures", "Data ecosystems", "AI solutions" ], "softSkillsList" : [ "Credibility", "Clarity", "Candour", "Trust", "Low ego" ], "hardSkills" : [ { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "Analytics ecosystems", "level" : "intermediate" }, { "name" : "ML lifecycle management", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Production AI systems", "level" : "intermediate" }, { "name" : "Cloud-native data platforms", "level" : "intermediate" }, { "name" : "AWS data platforms", "level" : "intermediate" }, { "name" : "Lakehouse architectures", "level" : "intermediate" }, { "name" : "Streaming architectures", "level" : "intermediate" }, { "name" : "Data ecosystems", "level" : "intermediate" }, { "name" : "AI solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Credibility" }, { "name" : "Clarity" }, { "name" : "Candour" }, { "name" : "Trust" }, { "name" : "Low ego" } ], "majorSkills" : "Data capability leadership, Cloud data platforms, MLOps", "majorSkillsList" : [ "Data capability leadership", "Cloud data platforms", "MLOps" ], "coreResponsibilities" : "Define 'great' for Data roles, Foster a positive environment, Create a team culture, Make hiring decisions, Make progression decisions, Make performance management decisions, Make learning investment decisions, Take ownership of Data capability contribution, Support deal shaping, Identify opportunities to expand Data & AI work, Track capability KPIs, Report on capability KPIs", "teamCollaboration" : "Close to delivery; Close to clients; Close to technical decision-making; High trust; Minimal unnecessary process; Management close to work; High standards of performance; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning", "Delivery approaches" ], "domainKnowledge" : "AI-native consulting; Cloud-native architecture; Enterprise-scale architectures; ML lifecycle management; MLOps; Production AI systems; Data & AI application", "domainList" : [ "ai-native-consulting", "cloud-native-architecture", "enterprise-scale-architectures", "ml-lifecycle-management", "mlops", "production-ai-systems", "data-ai-application" ], "domainSpecificKnowledge" : [ "AI-native consulting", "Cloud-native architecture", "Enterprise-scale architectures", "ML lifecycle management", "MLOps", "Production AI systems", "Data & AI application" ], "toolProficiency" : [ "AWS", "Databricks", "Snowflake", "Microsoft Fabric", "S3", "Glue", "Redshift", "EMR", "Kinesis", "Azure", "GCP", "Vertex AI", "Synapse", "ML Studio" ], "communicationSkills" : "Client presentations; Stakeholder engagement", "continuousLearning" : "40 hours paid learning; Personal growth investment", "innovationCreativity" : "AI solutions development; Building digital products", "problemSolvingSkills" : "Pragmatic decisions; Difficult trade-offs", "specialRequirements" : "Occasional travel", "outcomesObjectives" : "Revenue growth; Gross margin protection; Gross margin improvement; Win rates; Deal quality; Expand Data & AI work; Meaningful capability KPIs", "qualificationsBasic" : "Senior Capability Lead experience, Head of Data experience, Experience in consultancy, Experience in complex delivery organisation, Experience building and scaling multi-disciplinary Data capabilities, Experience shaping and delivering Data & AI-led solutions, Experience engaging with senior client stakeholders, Hands-on understanding of modern cloud-native data platforms, Experience designing and delivering AWS-centric data platforms, Practical experience with modern data platforms, Familiarity with Azure and GCP data ecosystems, Grasp of ML lifecycle management, Grasp of MLOps, Grasp of production AI systems, Ability to connect technical decisions to business value, Clear point of view on Data and AI application", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Our UK Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. Financial coaching + 5% pension match. 40 hours of paid learning and development. View our full list of UK benefits. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: As Head of Data at CreateFuture, you are accountable for the direction, evolution, and performance of our Data capability, reporting directly to the Director of Cloud ensure they remain close to delivery, clients, and technical decision-making. Define what ‘great’ looks like for Data roles at CreateFuture, with clear expectations around technical depth, client impact, and commercial awareness. Foster a positive, supportive environment where talented people can do their best work, combining high trust, candour, and accountability with minimal unnecessary process and management close to the work. Create a team culture where individuals feel respected, motivated, and proud of the work they deliver for clients, while maintaining high standards of performance and collaboration. Make clear, pragmatic decisions on hiring, progression, performance management, and targeted learning investment. Commercial Ownership & Performance Take clear ownership of the Data capability’s contribution to: Revenue growth Gross margin protection and improvement Win rates and deal quality Support deal shaping through pricing models, delivery approaches, and team composition that balance quality with commercial outcomes. Identify and pursue opportunities to expand Data & AI work within existing client accounts. Track and report on a small set of meaningful capability KPIs focused on outcomes rather than activity. What you bring: Experience & Impact Proven experience operating as a senior Capability Lead, Head of Data, or equivalent within a consultancy or complex delivery organisation. Demonstrable success building and scaling multi‑disciplinary Data capabilities, not solely Data Engineering teams. A track record of shaping and delivering Data & AI‑led solutions with clear commercial and client impact. Experience engaging confidently with senior client stakeholders, including technology, data, and business leaders. Technical & Strategic Depth Deep, hands-on understanding of modern cloud-native data platforms and analytics ecosystems. Significant experience designing and delivering AWS-centric data platforms, including lakehouse and streaming architectures using services such as S3, Glue, Redshift, EMR, and Kinesis. Practical experience with modern data platforms such as Databricks, Microsoft Fabric, and Snowflake. Familiarity with Azure and GCP data ecosystems to support multi-cloud client environments and enterprise-scale architectures. Strong grasp of ML lifecycle management, MLOps, and production AI systems. Ability to connect technical decisions to business value, risk, regulation, and operational constraints. A clear, well-formed point of view on how Data and AI should be applied pragmatically to deliver outcomes, rather than hype. Leadership Style Leads with credibility, clarity, and low ego. Comfortable operating with high accountability and making difficult trade‑offs. Stays close to delivery, clients, and teams. Builds trust through technical authority, consistency, and follow‑through. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Our hiring process We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: Call with our Talent Acquisition Team Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!", "summaryDescription" : "Head of Data at CreateFuture. Skills: Data capability leadership, Cloud data platforms, MLOps. Define 'great' for Data roles. Foster a positive environment", "postedDate" : "2026-06-14T21:28:42.442", "createdAt" : "2026-06-14T21:28:42.442", "lastUpdated" : "2026-06-16T01:13:45.593", "ingestTimestamp" : "2026-06-14T21:28:42.442", "mongoId" : "6a2c79f174d8ee00a0943d30", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data platforms", "Analytics ecosystems", "ML lifecycle management", "MLOps", "Production AI systems", "Cloud-native data platforms", "AWS data platforms", "Lakehouse architectures", "Streaming architectures", "Data ecosystems", "AI solutions", "Credibility", "Clarity", "Candour", "Trust", "Low ego", "Data capability leadership", "Cloud data platforms", "Client engagement", "Deal shaping", "Pricing models", "Delivery approaches", "Commercial outcomes", "Revenue growth", "Gross margin", "Win rates", "Deal quality", "Team composition", "Hiring", "Progression management", "Performance management", "Learning investment", "Technical decision-making", "Commercial awareness", "Technical depth", "Client impact", "Pragmatic decisions", "Roadmap planning", "AI-native consulting", "Cloud-native architecture", "Enterprise-scale architectures", "Data & AI application", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AWS", "Databricks", "Snowflake", "Microsoft Fabric", "S3", "Glue", "Redshift", "EMR", "Kinesis", "Azure", "GCP", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7e8674d8ee00a0952bb9", "title" : "Data Center Subject Matter Expert (Power)", "company" : "EdgeConneX", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Center Subject Matter Expert (Power) in Amsterdam, Netherlands, with 10+ years of experience, adjusted for industry and company size." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "certifications" : [ "LV/HV authorized to switch", "NEN3140-NEN3840", "VCA", "OSHA30" ], "timestamp" : "2026-06-15T10:39:34.983", "fingerprint" : "9d4d4386310ca52620a6fbedccf4896741482f84a5e78012e1cdff5511d5e116", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.edgeconnex.com/company/careers/?gh_jid=5047659007", "externalId" : "5047659007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "minimumEducation" : "WEB level 4", "experienceMinYears" : 10, "technicalSkills" : "Electrical, Mechanical", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Power systems", "Electrical maintenance", "Mechanical maintenance", "Planned maintenance", "Corrective maintenance" ], "hardSkills" : [ { "name" : "Power systems", "level" : "intermediate" }, { "name" : "Electrical maintenance", "level" : "intermediate" }, { "name" : "Mechanical maintenance", "level" : "intermediate" }, { "name" : "Planned maintenance", "level" : "intermediate" }, { "name" : "Corrective maintenance", "level" : "intermediate" } ], "majorSkills" : "Power systems, Data center operations, Maintenance management", "majorSkillsList" : [ "Power systems", "Data center operations", "Maintenance management" ], "teamCollaboration" : "Coordinating with peers; Working with various disciplines; Working with peer groups", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Electrical in Data center; Transformers; Generators; Switchgear; UPS systems; ATS & STS units; RPP units", "domainList" : [ "electrical-in-data-center", "transformers", "generators", "switchgear", "ups-systems", "ats-sts-units", "rpp-units" ], "domainSpecificKnowledge" : [ "Electrical in Data center", "Transformers", "Generators", "Switchgear", "UPS systems", "ATS & STS units", "RPP units" ], "communicationSkills" : "Written communications; Verbal communications", "innovationCreativity" : "Driving innovation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Willingness to travel up to 30%", "outcomesObjectives" : "Accommodate customers 100% uptime; Ensure quality and efficiency standards are raised; Deliver cost savings without sacrificing quality", "qualificationsBasic" : "10+ years of experience, LV/HV authorized to switch, Mechanical and/or Electrical training, Power Safety for Operational Supervisors training, Relevant work experience in data center, Relevant work experience in critical environment", "qualificationsPreferred" : "HBO (B-Sc. /B-Eng.), NEN3140-NEN3840, VCA, OSHA30", "workSiteFlexibility" : "Onsite", "rawDescription" : "Led by an experienced management team and supported by a strong investor group, including large and experienced institutions and strategic partners, EdgeConneX offers a dynamic, fast-paced work environment where we are bringing flexibility, proximity, power, and connectivity to some of the world’s key businesses. With major offices in Herndon, Denver, and Amsterdam, we have a global footprint and a unified team of employees committed to providing a premier customer experience and delivering the full spectrum of data center solutions, from core to edge, like no other data center provider can do. Focused on driving innovation and helping our customers define and deliver their own unique vision for the Edge, at any scale, in any market worldwide, for any requirement, we are building tomorrow’s data center infrastructure, today for some of the world’s most demanding Network, Content, and Cloud customers. Data Center Subject Matter Expert (Power) The SME will be an in-house expert for Power, and responsible for the critical operations and maintenance of mechanical and electrical equipment in data centers. This position reports to Director of Data Center Operations. Primary Responsibilities Manage projects to accommodate towards customers 100% uptime Initiate projects for operational processes and procedures Responsible for ensuring the safe, effective, and efficient delivery of critical planned maintenance, that meets all EdgeConneX standards and procedures, by leveraging competent contractor/vendor resources with attention to quality Ensures that the Director of Data Center Operations is fully informed and briefed on all critical planned and corrective work occurring in the data centers Plans and implements customer-requested work in a timely manner. Ensures that the customer and Director of Data Center Operations are informed on the status and details of the work In concert with the Director of Data Center Operations: Plans work on critical 1-line equipment according to Planned Preventive Maintenance Schedule, including roadmap to be approved by Director of Data Center Operations and/or Nominated person in control of an electrical installation. (Dutch:” Installatieverantwoordelijke”) Manages all testing of mission critical equipment on the sites according to EMEA/Global standards Responsible for guidelines that all work being done by contractors/vendors is logged in EdgeConneX systems Responsible for guidelines that all work being done by contractors/vendors is being done in accordance with the approved Method of Procedure During normal working hours, responds to alarms, critical situations, and emergencies in a proper and timely manner. Responsible for communicating in a calm and clear manner and in accordance with the emergency response plan Takes initiative to ensure that quality and efficiency standards are raised for all the equipment in the data centers. This includes finding ways to deliver cost savings to EdgeConneX without sacrificing quality Administers in a correct and timely manner all changes due to projects in accordance with all process and procedures Works effectively and efficiently with others inside the organization In Emergencies, is responsible for the timely response to ensure safety and operational continuity on sites Monitors multiple sites to ensure that safety standards are met Knowledge, Skills & Abilities Knowledge of Electrical in the Data center environment including transformers, generators, switchgear, UPS systems, ATS & STS units, RPP units, etc. Strong communications, both written and verbal, in leading teams and coordinating with peers and other disciplines on driving projects/issues to closure Commitment to organizational excellence and constant awareness to seek opportunities to improve processes/quality of deliverables Superb ability to prioritize and manage multiple projects/responsibilities Superb ability to meet committed timelines, leveraging assistance/input from peers Strong and effective team player in working with various disciplines and peer groups Strong attention to detail Experience/Education Education level complied with by WEB level 4 (WEB = Dutch Adult and Vocational Training Act) with at least 10-years of experience or HBO (B-Sc./B-Eng.) LV/HV authorized to switch Certificate (NEN3140-NEN3840) Mechanical and/or Electrical training/education, with particular focus in Power Safety for Operational Supervisors training (VCA and OSHA30) Relevant work experience in a data center or other critical environment Willingness to travel up to 30% of the time within EMEA EdgeConneX believes inclusion – of thought, backgrounds and experiences – affects all that we do, from our employees to the solutions we deliver. Our goal is to create an environment where embracing differences helps deepen the lives and work experience of our employees, enhances our innovation and creativity, and enriches our involvement in our communities. EdgeConneX is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or ancestry, physical or mental disability, as well as any other category protected by applicable federal, state, or local laws. EdgeConneX offers a competitive benefits package. For more information on how we process your data, visit our Data Privacy Policy here.", "summaryDescription" : "Data Center Subject Matter Expert (Power) at EdgeConneX. Skills: Power systems, Data center operations, Maintenance management", "postedDate" : "2026-06-14T09:18:51.167", "createdAt" : "2026-06-14T09:18:51.167", "lastUpdated" : "2026-06-15T10:39:34.983", "ingestTimestamp" : "2026-06-14T09:18:51.167", "mongoId" : "6a2c7e8674d8ee00a0952bb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Power systems", "Electrical maintenance", "Mechanical maintenance", "Planned maintenance", "Corrective maintenance", "Data center operations", "Maintenance management", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Roadmap planning", "Electrical in Data center", "Transformers", "Generators", "Switchgear", "UPS systems", "ATS & STS units", "RPP units", "LV/HV authorized to switch", "NEN3140-NEN3840", "VCA", "OSHA30" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b2d74d8ee00a091092d", "title" : "Director of Data", "company" : "Moonfare", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 170000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data in FinTech in Berlin, Germany, adjusted for seniority and company size." }, "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T06:54:38.611", "fingerprint" : "4ee5b49aeacad8c0042bc805064c940aba8add750a17fa4513db7a7d9b57e388", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.moonfare.com/open-position/?gh_jid=7771431003", "externalId" : "7771431003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "experienceLevel" : "Director", "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "teamCollaboration" : "Cross-functional teams; Partner with Engineering; Partner with Product; Partner with business", "projectManagementSkills" : [ "Data strategy", "Roadmap planning" ], "domainKnowledge" : "Private equity; Financial services; Regulated environment; AI-driven operating model; Agentic capabilities", "domainList" : [ "private-equity", "financial-services", "regulated-environment", "ai-driven-operating-model", "agentic-capabilities" ], "domainSpecificKnowledge" : [ "Private equity", "Financial services", "Regulated environment", "AI-driven operating model", "Agentic capabilities" ], "communicationSkills" : "Executive presentations; Board-level reporting", "continuousLearning" : "Individual growth budget", "innovationCreativity" : "AI; Agentic systems", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Director of Data (m/f/d) Reporting to the CTO, you will own the data strategy and execution for Moonfare at a pivotal moment in our growth. We are building the infrastructure and intelligence layer that will power how we serve investors, operate as a business, and scale into new markets, and data is the foundation everything else depends on. You will inherit a capable team and a real mandate: to bring it together, raise the bar, and build a data function that is fit for where Moonfare is going, not just where it has been. The role demands someone who can hold the strategic vision and get into the technical detail, knowing when to lead from the front and when to elevate the people around them. In return, you get a rare scope, shaping how a fast-growing private equity platform thinks about, structures, and activates its data from the ground up. This role sits at the intersection of Engineering, Product, and the wider business, leading our combined Data Engineering and Analytics function. The team is 6 people across pipelines, analytics, and architecture who will come together under your leadership into one cohesive function with a shared mission. The team's work underpins how Moonfare makes decisions, serves its investors, and builds towards an AI-driven operating model, making this one of the highest-leverage functions in the business. You will: Define and execute the data strategy for Moonfare, building the platforms, pipelines, and governance that give the business a reliable, scalable, and intelligent data foundation to grow on. Bring 6 people across data engineering, analytics, and architecture into one cohesive team, setting the operating model, rituals, and standards that make the function more than the sum of its parts. Architect and build the infrastructure that sources, structures, and serves data across investment, investor relations, operations, and compliance use cases. Partner closely with Engineering and Product to make data the substrate that our AI and agentic capabilities are built on, and with the business to enable self-serve reporting and operational intelligence. Stay deep in the technical detail across architecture reviews, design decisions, and pipeline trade-offs, while also representing data credibly to executive stakeholders and the Board. Embed compliance and regulatory thinking into every layer of the platform, recognising the demands of operating in a regulated financial services environment. The next Moonfarian: You bring deep, hands-on expertise across data engineering, AI, architecture, and pipelines. You lead the strategy and get into the weeds with your team on the hardest technical problems, contributing directly rather than just directing from a distance. You've built or significantly evolved a modern data platform in a regulated financial services environment, and you understand what compliance, auditability, and data quality actually demand at the architecture level. You have a strong, opinionated point of view on what modern AI and agentic systems need from a data function, and you've put that thinking into practice in real products and platforms, not just on slides. You're an experienced people leader who has unified or scaled a multi-disciplinary data team, and can bring engineers, analysts, and architects together around a shared mission while knowing when to roll up your sleeves alongside them. You thrive in pressured, high-ambiguity scale-up environments and are energised by carrying both the strategic load and a meaningful share of the technical work. You're a credible partner to executives and cross-functional stakeholders, able to translate between business outcomes and technical reality. We can only accept applications from those eligible to live and work in Berlin. This is a hybrid role with office attendance required 4 days/week. Please note that we do not accept applications sent by email. You should submit your application directly through our careers website. Invest in Yourself: Ownership and Impact: You are empowered to bring ideas, make decisions, and see your work directly contribute to Moonfare's success. Transparent Environment: We believe in open communication. You will receive regular updates on company strategy, performance against our KPIs, and key business decisions. Personal Growth: We support your development with an individual growth budget of €1,500 or 2% of your base salary (whichever is higher). Invest in Your Future: We support your long-term financial goals with a company pension scheme, providing a 20% employer contribution. Relax and Recharge: You start with 25 vacation days and you’ll receive one additional day for each year of tenure, up to a maximum of 30 days. Daily Lunch: Enjoy a free lunch every day that you are in the Berlin office, with a weekly changing menu that includes salads, curries, pastas, and a variety of vegan and vegetarian options. Subsidised Public Transport: We support your commute with a monthly subsidy for the Deutschland job ticket, making your travel easier and more affordable. Fitness and Wellbeing: Stay active with a subsidised Urban Sports Club membership, giving you flexible access to a wide variety of sports and wellness activities across Germany. A Culture of Excellence: Join a team of ambitious, smart, and committed professionals who are passionate about revolutionising private market investing. Our Values: Our clients come first, Moonfare comes second, and we prioritise ourselves third - Client-Centric Focus. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests. We pursue excellence and honor our promises - Commitment to Excellence. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes. We are here to win and to celebrate our collective achievements - Win together. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed. We foster personal growth but each of us earns our place as a Moonfarian through merit - Growth and Merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day. We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We’re committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work.", "summaryDescription" : "Director of Data at Moonfare", "postedDate" : "2026-06-14T03:21:28.216", "createdAt" : "2026-06-14T03:21:28.216", "lastUpdated" : "2026-06-15T06:54:38.611", "ingestTimestamp" : "2026-06-14T03:21:28.216", "mongoId" : "6a2c6b2d74d8ee00a091092d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Leadership", "Mentoring", "Critical thinking", "Data strategy", "Roadmap planning", "Private equity", "Financial services", "Regulated environment", "AI-driven operating model", "Agentic capabilities", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e8674d8ee00a0952bb8", "title" : "Data Center Subject Matter Expert (Power)", "company" : "EdgeConneX", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Center Subject Matter Expert (Power) in Dublin, Ireland, adjusted for senior seniority level and technology industry." }, "location" : "Dublin, Dublin, Ireland", "locations" : [ "Dublin", "Dublin", "Ireland" ], "timestamp" : "2026-06-15T12:04:23.918", "fingerprint" : "7f853722673d82f91eccd6e81303df6a5e4e915f9dcad48e3df42345542f45d2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.edgeconnex.com/company/careers/?gh_jid=5049163007", "externalId" : "5049163007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Electrical infrastructure", "Mechanical infrastructure", "Power systems operation", "Planned maintenance", "Corrective maintenance", "Emergent work", "Equipment reliability", "Quality assurance" ], "hardSkills" : [ { "name" : "Electrical infrastructure", "level" : "intermediate" }, { "name" : "Mechanical infrastructure", "level" : "intermediate" }, { "name" : "Power systems operation", "level" : "intermediate" }, { "name" : "Planned maintenance", "level" : "intermediate" }, { "name" : "Corrective maintenance", "level" : "intermediate" }, { "name" : "Emergent work", "level" : "intermediate" }, { "name" : "Equipment reliability", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" } ], "majorSkills" : "Power systems, Critical operations, Maintenance management", "majorSkillsList" : [ "Power systems", "Critical operations", "Maintenance management" ], "coreResponsibilities" : "Manage projects, Manage operational activities, Support customer requirements, Ensure 100% uptime, Initiate projects, Support projects, Improve operational processes, Improve operational procedures, Ensure safe delivery, Ensure effective delivery, Ensure efficient delivery, Perform planned maintenance, Comply with standards, Comply with procedures, Leverage contractor resources, Leverage vendor resources, Focus on quality, Inform Director of Operations, Plan customer-requested work, Execute customer-requested work, Provide status updates, Plan work on equipment, Develop maintenance roadmaps, Manage testing, Oversee testing, Log contractor work, Track contractor work, Log vendor work, Track vendor work, Execute MOPs, Respond to alarms, Respond to incidents, Respond to emergencies, Communicate clearly, Communicate calmly, Follow Emergency Response Plan, Identify opportunities, Improve equipment reliability, Improve quality, Improve efficiency, Deliver cost savings, Administer project changes, Collaborate with internal teams, Provide on-site response, Ensure personnel safety, Ensure operational continuity, Monitor multiple sites, Ensure compliance", "teamCollaboration" : "Internal teams; Operations teams; Engineering teams; Functional groups", "projectManagementSkills" : [ "Project management", "Roadmap development" ], "domainKnowledge" : "Data center power; Electrical infrastructure; Mechanical infrastructure; Critical infrastructure; EMEA standards; Global standards", "domainList" : [ "data-center-power", "electrical-infrastructure", "mechanical-infrastructure", "critical-infrastructure", "emea-standards", "global-standards" ], "domainSpecificKnowledge" : [ "Data center power", "Electrical infrastructure", "Mechanical infrastructure", "Critical infrastructure", "EMEA standards", "Global standards" ], "communicationSkills" : "Status updates; Clear communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Normal working hours, On-site response", "outcomesObjectives" : "Ensure 100% uptime; Deliver cost savings", "qualificationsBasic" : "5+ years experience, OSHA30 accepted", "workSiteFlexibility" : "Onsite", "rawDescription" : "Led by an experienced management team and supported by a strong investor group, including large and experienced institutions and strategic partners, EdgeConneX offers a dynamic, fast-paced work environment where we are bringing flexibility, proximity, power, and connectivity to some of the world’s key businesses. With major offices in Herndon, Denver, and Amsterdam, we have a global footprint and a unified team of employees committed to providing a premier customer experience and delivering the full spectrum of data center solutions, from core to edge, like no other data center provider can do. Focused on driving innovation and helping our customers define and deliver their own unique vision for the Edge, at any scale, in any market worldwide, for any requirement, we are building tomorrow’s data center infrastructure, today for some of the world’s most demanding Network, Content, and Cloud customers. Title: Data Center Subject Matter Expert (Power) Location: Dublin, Ireland The Data Center Subject Matter Expert (Power) will serve as an in-house expert for power systems and is responsible for the critical operations and maintenance of electrical and mechanical infrastructure within EdgeConneX data centers. This role reports to the Director of Data Center Operations and plays a key role in ensuring safe, reliable, and continuous operations across assigned sites. Primary Responsibilities Manage projects and operational activities to support customer requirements and ensure 100% uptime Initiate and support projects to improve operational processes and procedures Ensure the safe, effective, and efficient delivery of critical planned maintenance, in compliance with all EdgeConneX standards and procedures, leveraging qualified contractor and vendor resources with a strong focus on quality Ensure the Director of Data Center Operations is fully informed of all critical planned, corrective, and emergent work occurring within the data centers Plan and execute customer-requested work in a timely manner, providing clear status updates to both customers and the Director of Data Center Operations In coordination with the Director of Data Center Operations: Plan work on critical single-line electrical equipment in accordance with the Planned Preventive Maintenance (PPM) schedule Develop maintenance roadmaps for approval by the Director of Data Center Operations and/or the appointed Authorised Person Manage and oversee testing of mission-critical power equipment in accordance with EMEA and global standards Ensure all contractor and vendor work is properly logged and tracked within EdgeConneX systems Ensure all work performed by contractors and vendors is executed strictly in accordance with approved Methods of Procedure (MOPs) Respond during normal working hours to alarms, critical incidents, and emergencies, communicating clearly, calmly, and in line with the site Emergency Response Plan Proactively identify opportunities to improve equipment reliability, quality, and efficiency, including initiatives that deliver cost savings without compromising safety or uptime Administer project-related changes accurately and in a timely manner, in accordance with EdgeConneX processes and procedures Collaborate effectively with internal teams across Operations, Engineering, and other functional groups Provide timely on-site response during emergencies to ensure personnel safety and operational continuity Monitor multiple sites to ensure compliance with safety, operational, and performance standards Knowledge, Skills OSHA30 accepted where applicable) Demonstrated experience operating within live data center or other critical infrastructure environments EdgeConneX believes inclusion – of thought, backgrounds and experiences – affects all that we do, from our employees to the solutions we deliver. Our goal is to create an environment where embracing differences helps deepen the lives and work experience of our employees, enhances our innovation and creativity, and enriches our involvement in our communities. EdgeConneX is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or ancestry, physical or mental disability, as well as any other category protected by applicable federal, state, or local laws. EdgeConneX offers a competitive benefits package. For more information on how we process your data, visit our Data Privacy Policy here.", "summaryDescription" : "Data Center Subject Matter Expert (Power) at EdgeConneX. Skills: Power systems, Critical operations, Maintenance management. Manage projects. 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As a File Clerk, you will be assigned administrative and clerical tasks such as filing documents, retrieving files, distributing mail, making copies, scanning documents, and generating new files for new contracts. This position reports to the assigned Criminal Defense Attorney. Primary Responsibilities: Work in a team environment to ensure the preparation of documents. Organizing, distributing, or tracking documents according to departmental procedures Provide mail to departments and individuals Ensure the filing, preparation, and scanning of documents and correspondence. Keep detailed records of all incoming documents and file them accordingly Assist with all administrative tasks. Required Qualifications: Education: High School Diploma / GED (or higher) 1+ years of experience using Microsoft Excel: editing, sorting/filtering, and saving spreadsheets (can maintain complex spreadsheets). 1+ years of office experience Bilingual (English/Spanish) required Salary: $16-$18/hr Here at The United Firm | La Liga Defensora, APC we offer medical, dental, and vision insurance. We have a great compensation package including a 401(k) plan. Some perks include catered lunches, complimentary parking, paid time off, and more! Come be apart of our growing firm and its opportunities for your career development. You will learn and develop alongside a team of professionals who aim to excel in the legal industry. The United Firm | La Liga Defensora, APC is an equal employment opportunity employer, and we welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status or genetics. 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We are a team of 1000 and growing with offices in Los Angeles, Oklahoma City, Phoenix, Brooklyn, Chicago, Washington DC, and more. Seattle is our home and headquarters. We’ve been successful in this unique business for over 30 years and we continue to advance our technology and business processes to remain years ahead of what our competition is able to offer. Our focus is to expand our technology lead, acquire and integrate less efficient competitors, and tap into new segments through an integrated inbound marketing and sales approach. The Role: Why it Matters Our clients rely on us for precision. In this role, you take ownership of the document lifecycle — preparing, filing, and organizing the paperwork that drives our business. You're the key to resolving documentation issues and making sure nothing falls through the cracks. What you’ll do daily: Court Document Logistics: Prepare, review, and print essential legal documents for court filing. Workflow Management: Process incoming documents from courts and process servers with speed and precision. Organization: Manage the lifecycle of warrants—from pulling and storing to ensuring they reach the courtroom. Problem Solving: Identify and resolve filing issues to keep our legal processes moving forward. Administrative Support: High-volume scanning, filing, mail processing, and data entry. What We're Looking For We value reliability and a \"can-do\" attitude. This is a great fit for someone who is organized, enjoys working independently, and thrives in a high-volume environment. Education: High School Diploma or GED. Experience: Previous experience in office admin or a legal setting is a plus, but we are happy to train someone with the right drive. Skills: Basic computer literacy (Microsoft Office) and the ability to stay focused while managing a high volume of paperwork. Mindset: You take pride in accuracy, respond well to feedback, and enjoy meeting daily goals. We know that a company's success starts with its employees. We also know that an individual's success starts with the right career opportunity. Join our team today! Benefits: Health, Dental, Vision insurance 401(k) with company matching Paid time off 7 Paid company holidays 4 Floating holidays per-year Life Insurance and AD&D Insurance Long Term Disability Health Care Reimbursement Flexible Spending Account Dependent Care Flexible Spending Account EAP (Employee Assistance Program) Pet Insurance", "summaryDescription" : "Legal File Clerk at ABC Legal Services. Skills: Document lifecycle management, Court document preparation, Workflow processing. Prepare legal documents. 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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 Kingdom-England-London", "summaryDescription" : "Architect for Data Center Projects. Skills: Architecture, Data Center Projects. 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Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. This role will have an impactful contribution to supporting and enhancing Louis Dreyfus Company's OneStream Enterprise Performance Management (EPM) platform, contributing to the delivery of accurate, reliable, and scalable financial planning, reporting, and performance management processes. Partnering with Finance, Data & Analytics teams, Business Process Owners, and external implementation partners, you will develop expertise in Enterprise Performance Management technologies while contributing to platform performance, data quality, governance, and operational stability. Brief: Support LDC’s OneStream-based Enterprise Performance Management platform from Sofia as a core technical engineer, delivering deep configuration, performance optimization, rule development, troubleshooting, and technical platform stability. This role contributes directly to building the Enterprise Performance Management Center of Excellence , enabling scalable operations, technical autonomy, and long‑term value creation across Daily P&L, Actuals, Forecasting, Group Reporting and future Enterprise performance management roadmap components. The resource will join at a key moment (platform ramp‑up and CoE build), work closely with experienced internal and external experts, and quickly take ownership of meaningful technical components that directly impact Finance performance and operational efficiency. Main Responsibilities: * Develop and enhance business rules, calculations, workflows, and data transformation processes. * Support financial reporting, forecasting, planning, and performance management solutions. * Troubleshoot platform issues and investigate data quality or integration challenges. * Work with Finance teams to understand business requirements and translate them into technical solutions. * Optimize system performance and improve reliability of financial processes. * Participate in testing, releases, and deployments across development and production environments. * Create technical documentation, support guides, and reusable development standards. * Collaborate with global stakeholders, implementation partners, and internal technology teams. * Contribute to the growth of the Enterprise Performance Management Center of Excellence and help build future best practices. What Makes This Opportunity Different * Join a newly established Center of Excellence and help shape its future. * Gain expertise in a highly specialized and sought-after technology domain. * Work directly with international Finance and Data teams. * Receive mentorship from experienced OneStream consultants and platform experts. * Exposure to large-scale global financial processes and enterprise systems. * Opportunity to grow into senior engineering, architecture, or product ownership roles. ## Qualifications What We're Looking For Education * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Mathematics, Economics, Finance Technology, or a related field. Experience * Еxperience in Software Development, Data Engineering, Business Intelligence, ERP Systems, Financial Systems, or similar technical roles. * Internship experience is welcomed. * Experience with OneStream, SAP, Oracle, NetSuite, Power BI, Tableau, ETL tools, or similar platforms is considered an advantage but is not required. Technical Skills We are looking for strong technical potential rather than specific platform expertise. Examples of relevant skills include: * SQL and database fundamentals. * Programming experience with Python, C#, Java, VB.NET, or similar languages. * Understanding of data integration and data transformation concepts. * Interest in analytics, reporting, and financial systems. * Familiarity with Git, Azure DevOps, or software delivery processes is a plus. Personal Qualities * Analytical mindset and strong problem-solving skills. * Curiosity and willingness to learn new technologies. * Strong communication and collaboration skills. * Ownership and attention to detail. * Ability to work effectively in a global and multicultural environment. Nice-to-Have Skills * Exposure to cloud technologies, automation, or APIs. * Knowledge of Power BI, data visualization, or reporting tools. * Interest in Python-based analytics, machine learning, or process automation. * Understanding of financial processes such as reporting, budgeting, forecasting, or consolidation. ## Additional Information Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits * 25 annual paid leave * Flexible working hours * Food vouchers * Transportation allowance * Additional medical & dental insurance * Life insurance * Sports card with 90/10 coverage * Various learning & development opportunities * Yearly performance evaluation plans * Social clubs & Wellbeing initiatives * Team buildings & social events * Employee Referral Program", "summaryDescription" : "Data & Analytics Engineer - Finance Systems at Louis Dreyfus Company. Skills: Data engineering, ETL, Data warehousing, Cloud platforms. Design and implement ETL processes. Build and maintain data warehouses", "postedDate" : "2026-06-15T10:48:19.000", "createdAt" : "2026-06-16T01:38:01.559", "lastUpdated" : "2026-06-16T12:13:23.084", "ingestTimestamp" : "2026-06-16T01:38:01.559", "mongoId" : "6a307ca6f292fd229c04a86d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "ETL processes", "Data warehousing", "Data modeling", "Data visualization", "Big data technologies", "Machine learning frameworks", "Data engineering", "ETL", "Cloud platforms", "System design", "Data architecture", "Finance systems" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3064c8f292fd229cfa2ebf", "title" : "Data & Analytics Engineer - Finance Systems", "company" : "Louis Dreyfus Company", "industry" : "International Trade And Development", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Analytics Engineer in Sofia, Bulgaria, adjusted for the Food & Beverage industry." }, "location" : "Sofia, Sofia City Province, BG", "locations" : [ "Sofia", "Sofia City Province", "BG" ], "timestamp" : "2026-06-16T11:19:35.670", "fingerprint" : "d93d2ee22ef402e02b9047b64aba8da20b4c95d6db4065c13d27bf1c9f072d8d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LouisDreyfusCompany/744000132168929-data-analytics-engineer-finance-systems-", "externalId" : "744000132168929", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "state" : "Sofia City Province", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Sofia, Sofia City Province, Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, Java, SQL, NoSQL, AWS, Azure, GCP, ETL, ELT, Spark, Hadoop, Data Warehousing", "professionalSkills" : [ "System design", "Data modeling", "Problem solving" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud infrastructure management" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud infrastructure management", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Cloud Platforms, ETL/ELT", "majorSkillsList" : [ "Data Engineering", "Cloud Platforms", "ETL/ELT" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize ETL/ELT processes, Manage and maintain data warehousing solutions, Ensure data quality and integrity, Collaborate with data scientists and analysts, Implement data security and governance best practices, Monitor and troubleshoot data infrastructure, Stay up-to-date with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Data scientists; Data analysts", "projectManagementSkills" : [ "Agile methodologies" ], "toolProficiency" : [ "SQL", "NoSQL", "Python", "Java", "AWS", "Azure", "GCP", "Spark", "Hadoop" ], "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering, Experience with cloud platforms (AWS, Azure, GCP), Experience with data warehousing solutions, Experience with ETL/ELT processes, Experience with SQL and NoSQL databases, Experience with programming languages like Python or Java, Bachelor's degree in Computer Science or related field", "qualificationsPreferred" : "Master's degree in Computer Science or related field, Experience with big data technologies (Spark, Hadoop), Experience with data visualization tools, Experience with CI/CD pipelines, Experience with Agile methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. This role will have an impactful contribution to supporting and enhancing Louis Dreyfus Company's OneStream Enterprise Performance Management (EPM) platform, contributing to the delivery of accurate, reliable, and scalable financial planning, reporting, and performance management processes. Partnering with Finance, Data & Analytics teams, Business Process Owners, and external implementation partners, you will develop expertise in Enterprise Performance Management technologies while contributing to platform performance, data quality, governance, and operational stability. Brief: Support LDC’s OneStream-based Enterprise Performance Management platform from Sofia as a core technical engineer, delivering deep configuration, performance optimization, rule development, troubleshooting, and technical platform stability. This role contributes directly to building the Enterprise Performance Management Center of Excellence , enabling scalable operations, technical autonomy, and long‑term value creation across Daily P&L, Actuals, Forecasting, Group Reporting and future Enterprise performance management roadmap components. The resource will join at a key moment (platform ramp‑up and CoE build), work closely with experienced internal and external experts, and quickly take ownership of meaningful technical components that directly impact Finance performance and operational efficiency. Main Responsibilities: * Develop and enhance business rules, calculations, workflows, and data transformation processes. * Support financial reporting, forecasting, planning, and performance management solutions. * Troubleshoot platform issues and investigate data quality or integration challenges. * Work with Finance teams to understand business requirements and translate them into technical solutions. * Optimize system performance and improve reliability of financial processes. * Participate in testing, releases, and deployments across development and production environments. * Create technical documentation, support guides, and reusable development standards. * Collaborate with global stakeholders, implementation partners, and internal technology teams. * Contribute to the growth of the Enterprise Performance Management Center of Excellence and help build future best practices. What Makes This Opportunity Different * Join a newly established Center of Excellence and help shape its future. * Gain expertise in a highly specialized and sought-after technology domain. * Work directly with international Finance and Data teams. * Receive mentorship from experienced OneStream consultants and platform experts. * Exposure to large-scale global financial processes and enterprise systems. * Opportunity to grow into senior engineering, architecture, or product ownership roles. ## Qualifications What We're Looking For Education * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Mathematics, Economics, Finance Technology, or a related field. Experience * Еxperience in Software Development, Data Engineering, Business Intelligence, ERP Systems, Financial Systems, or similar technical roles. * Internship experience is welcomed. * Experience with OneStream, SAP, Oracle, NetSuite, Power BI, Tableau, ETL tools, or similar platforms is considered an advantage but is not required. Technical Skills We are looking for strong technical potential rather than specific platform expertise. Examples of relevant skills include: * SQL and database fundamentals. * Programming experience with Python, C#, Java, VB.NET, or similar languages. * Understanding of data integration and data transformation concepts. * Interest in analytics, reporting, and financial systems. * Familiarity with Git, Azure DevOps, or software delivery processes is a plus. Personal Qualities * Analytical mindset and strong problem-solving skills. * Curiosity and willingness to learn new technologies. * Strong communication and collaboration skills. * Ownership and attention to detail. * Ability to work effectively in a global and multicultural environment. Nice-to-Have Skills * Exposure to cloud technologies, automation, or APIs. * Knowledge of Power BI, data visualization, or reporting tools. * Interest in Python-based analytics, machine learning, or process automation. * Understanding of financial processes such as reporting, budgeting, forecasting, or consolidation. ## Additional Information Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits * 25 annual paid leave * Flexible working hours * Food vouchers * Transportation allowance * Additional medical & dental insurance * Life insurance * Sports card with 90/10 coverage * Various learning & development opportunities * Yearly performance evaluation plans * Social clubs & Wellbeing initiatives * Team buildings & social events * Employee Referral Program", "summaryDescription" : "Data & Analytics Engineer - Finance Systems at Louis Dreyfus Company. Skills: Data Engineering, Cloud Platforms, ETL/ELT. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes", "postedDate" : "2026-06-15T10:48:19.000", "createdAt" : "2026-06-15T23:50:15.822", "lastUpdated" : "2026-06-16T11:19:35.670", "ingestTimestamp" : "2026-06-15T23:50:15.822", "mongoId" : "6a3064c8f292fd229cfa2ebf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Database management", "Cloud infrastructure management", "Data Engineering", "Cloud Platforms", "ETL/ELT", "System design", "Data modeling", "Problem solving", "Agile methodologies", "SQL", "NoSQL", "Python", "Java", "AWS", "Azure", "GCP", "Spark", "Hadoop" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051dbf292fd229cf07fea", "title" : "Director of Data - Logistics & Fulfilment", "company" : "Ocado Group", "industry" : "Logistics", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Data in London, UK, adjusted for the logistics industry and Ocado Group's company size." }, "location" : "Trident Place Two", "locations" : [ "Trident Place Two" ], "timestamp" : "2026-06-16T06:40:03.645", "fingerprint" : "090e0126cbc9f0e50c32760c68d37c88b5ec85308a56b15411881aa90b41ce6a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.ocadogroup.com/jobs/details?gh_jid=4833468101&gh_jid=4833468101", "externalId" : "4833468101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, Scala, Spark, SQL, MLOps, AWS, GCP, Azure", "professionalSkills" : [ "Operations research", "Algorithm development", "Data storytelling", "Stakeholder management" ], "hardSkillsList" : [ "Logistics optimisation", "Applied ML", "Forecasting", "Modelling", "Routing optimisation" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Logistics optimisation", "level" : "intermediate" }, { "name" : "Applied ML", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Routing optimisation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Data science, Machine learning, Operations research", "majorSkillsList" : [ "Data science", "Machine learning", "Operations research" ], "coreResponsibilities" : "Lead data science, ML, and operations research, Foster working relationship between data science and engineering, Move ML models into production at scale, Oversee long-term vision for data science group, Ensure research depth translates into operational value, Support and develop data science crafts, Help organisation understand opportunities, Work with Data Engineering and Analytics, Embed strategy to capture metrics, Line manage Data Team Leaders, Represent data function in leadership teams", "teamCollaboration" : "Data science and engineering; Data Engineering and Analytics; Logistics and Fulfillment Senior Leadership Teams", "domainKnowledge" : "Physical hardware; Complex logistics; Warehouse optimisation; Delivery networks", "domainList" : [ "physical-hardware", "complex-logistics", "warehouse-optimisation", "delivery-networks" ], "domainSpecificKnowledge" : [ "Physical hardware", "Complex logistics", "Warehouse optimisation", "Delivery networks" ], "toolProficiency" : [ "MLflow" ], "communicationSkills" : "Data storytelling; Stakeholder relationships", "problemSolvingSkills" : "Proactive problem solver", "specialRequirements" : "Two days onsite", "outcomesObjectives" : "Take us from great research to production-scale impact; Energise team to push boundaries", "qualificationsBasic" : "In-depth knowledge of ML, Deploy models in production at scale, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Director of Data - Logistics & Fulfilment | London | Hybrid “This is a two-day onsite opportunity, split between our Tech Hub in Old Street and our HQ in Hatfield.” About us: Ocado Technology is putting the world's retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power Ocado.com, the world's largest online-only grocery retailer, as well as the global \"Ocado Smart Platform\". We champion a value-led culture of Trust, Autonomy, Craftsmanship, Collaboration, and Learn Fast to help our teams work at their very best. About the role: This is a strategic leadership position sitting at the intersection of complex maths and physical reality. You will lead a high-impact cluster of four teams covering a broad spectrum of interesting and challenging areas including Logistics optimisation (algorithms for routing optimisation), applied ML (for continuously improving our drive/drop time estimates), forecasting and modelling. Our data teams within Logistics research and build the algorithms that optimise decisions for the world’s most advanced warehouses and delivery networks. You’ll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfillment (CFCs). We need a leader who can take us from \"great research\" to \"production-scale impact,\" energising the team to push boundaries rather than settling for the status quo. What the role involves: Fostering a tight working relationship between data science and engineering to move ML models into production at scale. Overseeing the long-term vision for our 4-team data science group, ensuring research depth translates into operational value. Supporting and developing our data science crafts while helping the wider organisation understand where the biggest opportunities live. Working with Data Engineering and Analytics to embed a strategy that captures the right metrics for better product decisions. Line managing Data Team Leaders and representing the data function within the Logistics and Fulfillment Senior Leadership Teams. What we're looking for: In-depth knowledge of ML, and how to deploy models in production at scale (MLOps). A proactive problem solver comfortable with the ambiguity of physical hardware and complex logistics A strong communicator adept at data storytelling, capable of managing complex stakeholder relationships by listening as much as influencing. The ability to use data to help product management prioritize feature development and measure improvements post-release. A leader who creates happy, high-performing teams through coaching, 1:1s, and a commitment to knowledge sharing. What do I get in return: Hybrid working pattern (2 days in the office) Wellbeing support through Apps such as Unmind and an Employee Assistance Programme 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase) Pension scheme(various options available including employer contribution matching up to 7%) Private Medical Insurance 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete) Train Ticket loan (interest-free) Cycle to Work Scheme Share options Leadership bonuses Opportunity to participate in Share save and Buy as You Earn share schemes 15% discount on Ocado.com and free delivery for all employees Income Protection(can be up to 50% of salary for 3 years) and Life Assurance(3 x annual salary) #LI-JT1 #LI-OT #LI-HYBRID", "summaryDescription" : "Director of Data - Logistics & Fulfilment at Ocado Group. Skills: Data science, Machine learning, Operations research. Lead data science, ML, and operations research. Foster working relationship between data science and engineering", "postedDate" : "2026-06-15T23:19:48.054", "createdAt" : "2026-06-15T23:19:48.054", "lastUpdated" : "2026-06-16T06:40:03.645", "ingestTimestamp" : "2026-06-15T23:19:48.054", "mongoId" : "6a3051dbf292fd229cf07fea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Logistics optimisation", "Applied ML", "Forecasting", "Modelling", "Routing optimisation", "Leadership", "Coaching", "Mentoring", "Data science", "Machine learning", "Operations research", "Algorithm development", "Data storytelling", "Stakeholder management", "Physical hardware", "Complex logistics", "Warehouse optimisation", "Delivery networks", "MLflow" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e8674d8ee00a0952bb7", "title" : "Data Center Subject Matter Expert - Mechanical Engineering", "company" : "EdgeConneX", "industry" : "Technology", "salary" : { "min" : 7.5E8, "max" : 1.2E9, "currency" : "IDR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Center Subject Matter Expert - Mechanical Engineering in Cikajang, Indonesia, adjusted for seniority and industry." }, "location" : "Cikajang, West Java, Indonesia", "locations" : [ "Cikajang", "West Java", "Indonesia" ], "timestamp" : "2026-06-15T03:27:32.127", "fingerprint" : "56dc982844cd92ff83b0e099a56bb1dcc39cdf345b4a68a99b4867985802f146", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.edgeconnex.com/company/careers/?gh_jid=5058404007", "externalId" : "5058404007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cikajang", "state" : "West Java", "country" : "Indonesia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "-7.4046211,107.7985298" } ], "locationText" : "Cikajang, West Java, Indonesia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechanical Engineering", "professionalSkills" : [ "System analysis", "Reporting" ], "hardSkillsList" : [ "Mechanical systems operation", "RCA", "Remediation processes" ], "hardSkills" : [ { "name" : "Mechanical systems operation", "level" : "intermediate" }, { "name" : "RCA", "level" : "intermediate" }, { "name" : "Remediation processes", "level" : "intermediate" } ], "majorSkills" : "Mechanical Engineering, Data Center Operations", "majorSkillsList" : [ "Mechanical Engineering", "Data Center Operations" ], "coreResponsibilities" : "Provide oversight critical infrastructure, Operate critical infrastructure, Issue identification and resolution, Perform RCA, Perform remediation, Coordinate maintenance activities, Coordinate corrective activities, Coordinate customer requests, Perform system analysis, Perform reporting, Complete self-performing PM/CM, Develop MOPs, Execute MOPs, Supervise subcontractors, Support regional team, Update tickets, Update WO's, Update communications", "teamCollaboration" : "Support regional team; Supervise subcontractors", "domainKnowledge" : "Data center mechanical infrastructure; Hyperscale data center facility", "domainList" : [ "data-center-mechanical-infrastructure", "hyperscale-data-center-facility" ], "domainSpecificKnowledge" : [ "Data center mechanical infrastructure", "Hyperscale data center facility" ], "problemSolvingSkills" : "Issue identification; Resolution; RCA; Remediation", "qualificationsBasic" : "5+ years mechanical infrastructure, 3+ years leading technicians", "qualificationsPreferred" : "Experience in pre-deployment phases, Experience leading mechanical engineering hyperscale", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Led by an experienced management team and supported by a strong investor group, including large and experienced institutions and strategic partners, EdgeConneX offers a dynamic, fast-paced work environment where we are bringing flexibility, proximity, power, and connectivity to some of the world’s key businesses. With major offices in Herndon, Denver, and Amsterdam, we have a global footprint and a unified team of employees committed to providing a premier customer experience and delivering the full spectrum of data center solutions, from core to edge, like no other data center provider can do. Focused on driving innovation and helping our customers define and deliver their own unique vision for the Edge, at any scale, in any market worldwide, for any requirement, we are building tomorrow’s data center infrastructure, today for some of the world’s most demanding Network, Content, and Cloud customers. Title: Data Center SME Mechanical Operations The SME Mechanical will support and lead the local data center site team on advanced mechanical engineering duties within the JKT datacenter campus based in JKT Indonesia. This position reports to the Data Center Facility Manager and requires someone to be onsite daily. Primary Responsibilities Provide oversight of critical infrastructure and building mechanical systems. Operate critical infrastructure to include Fan Wall Units, CRAH’s, CRAC’s, Chillers, Humidification Systems, De-humidification Systems, RTU’s, CDU’s, and Water Purification Systems. Issue identification and resolution through RCA and remediation processes. Coordination and oversite of maintenance and corrective activities. Coordination and oversite of customer requests. System analysis and reporting. Completion of self-performing PM/CM activities in accordance with ECX standards. Development and execution of MOP’s Supervise on-site subcontractors. Support the regional team as required in support of customer reporting and QBRs. Ensure consistent and accurate updates to tickets, WO’s, and associated communications. Knowledge, Skills can cover all gamut of tasks required to ‘getting a job done.’ Strong attention to detail. Experience/Education 5+ years of experience managing data center mechanical infrastructure 3+ years of experience leading a team of service technicians focused in mechanical infrastructure Strong, demonstrated interest in data center technology with a passion for continued learning Strong knowledge and experience in supporting a fast-paced, demanding environment Any experience working in pre-deployment phases of a data center, i. e. pre-construction or construction environments would make a candidate stand out Candidates possessing direct experience in leading mechanical engineering efforts at a hyperscale data center facility are highly encouraged to apply EdgeConneX believes inclusion – of thought, backgrounds and experiences – affects all that we do, from our employees to the solutions we deliver. Our goal is to create an environment where embracing differences helps deepen the lives and work experience of our employees, enhances our innovation and creativity, and enriches our involvement in our communities. EdgeConneX is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or ancestry, physical or mental disability, as well as any other category protected by applicable federal, state, or local laws. EdgeConneX offers a competitive benefits package. For more information on how we process your data, visit our Data Privacy Policy here.", "summaryDescription" : "Data Center Subject Matter Expert - Mechanical Engineering at EdgeConneX. Skills: Mechanical Engineering, Data Center Operations. Provide oversight critical infrastructure. Operate critical infrastructure", "postedDate" : "2026-06-13T20:34:07.437", "createdAt" : "2026-06-13T20:34:07.437", "lastUpdated" : "2026-06-15T03:27:32.127", "ingestTimestamp" : "2026-06-13T20:34:07.437", "mongoId" : "6a2c7e8674d8ee00a0952bb7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mechanical systems operation", "RCA", "Remediation processes", "Mechanical Engineering", "Data Center Operations", "System analysis", "Reporting", "Data center mechanical infrastructure", "Hyperscale data center facility" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305093f292fd229cef248e", "title" : "Head of Vio Data Solutions", "company" : "Vio", "industry" : "Partnerships & Business Development", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level executive in the Travel industry in the Netherlands, adjusted for remote work and company size." }, "location" : "Netherlands - Employee", "locations" : [ "Netherlands - Employee", "Remote", "Amsterdam / Remote" ], "timestamp" : "2026-06-16T11:10:38.702", "fingerprint" : "1be5905ebbbea8fe7cfa6befca199814110d3a5dc5ad5dd697c1b4b8b6e2c6f4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vio/ba55b5f5-cae9-4df7-acae-d5b9e11ab124/application", "externalId" : "ba55b5f5-cae9-4df7-acae-d5b9e11ab124", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Productization", "Pricing", "Sales", "Team-building", "Commercialisation models", "Sales pipeline management" ], "hardSkillsList" : [ "Data product sales", "Deal negotiation", "Post-sales relationships" ], "softSkillsList" : [ "Entrepreneurial" ], "hardSkills" : [ { "name" : "Data product sales", "level" : "intermediate" }, { "name" : "Deal negotiation", "level" : "intermediate" }, { "name" : "Post-sales relationships", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial" } ], "majorSkills" : "Data product lifecycle, Sales, Team leadership", "majorSkillsList" : [ "Data product lifecycle", "Sales", "Team leadership" ], "coreResponsibilities" : "Identify data products, Identify customer segments, Design pricing models, Design commercialisation models, Build sales pipeline, Close first deals, Hire team, Develop team", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Accommodation industry; Travel industry; Data products; Revenue management; OTAs", "domainList" : [ "accommodation-industry", "travel-industry", "data-products", "revenue-management", "otas" ], "domainSpecificKnowledge" : [ "Accommodation industry", "Travel industry", "Data products", "Revenue management", "OTAs" ], "continuousLearning" : "Knowledge sharing", "specialRequirements" : "Based in Europe, Preferably in Amsterdam", "qualificationsBasic" : "Experience designing data products, Experience delivering data products, Proven track record in sales, Leadership experience", "qualificationsPreferred" : "Travel industry veteran, Deep experience in revenue management, Deep experience in data products, Deep experience in accommodation OTAs, Entrepreneur with track record, Self-directed leader", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Vio https://www.vio.com/, we believe booking accommodation should feel fair and effortless, never overwhelming or unclear. As one of the world’s most innovative travel tech platforms, we help millions of users make smarter travel decisions by comparing stays across 100+ booking sites so that they can find the best place, at the best price, anywhere in the world. Central to everything we do is data. We capture vast amounts of it, and we use it to power every product decision and customer interaction we make. Having built a robust, scalable infrastructure to store and surface this data, we're now ready to take the next step: offering it to other industry stakeholders who can use it to improve the market and unlock new efficiencies. Who we're looking for We're looking for an entrepreneurial business leader to own and drive this new initiative from the ground up. This isn't a role for someone who needs a playbook — it's for someone who writes them. You'll lead the entire data product lifecycle: from productisation and pricing through to sales and team-building. You'll be the first mover on a genuinely differentiated opportunity, backed by exceptional data infrastructure and industry-unique datasets. You have : - Experience designing and delivering data products at scale in the accommodation or travel industry - A proven track record in sales — including prospecting, negotiating, closing deals, and managing post-sales relationships - Leadership experience to grow the initial momentum into a scalable, standalone business unit What you'll do - Identify the data products we can build and the customer segments best positioned to benefit from them - Design pricing and commercialisation models that create genuine value for buyers and for Vio - Build the sales pipeline from scratch — and close the first deals yourself - Hire and develop a team to scale the business once traction is established Who you are - A travel industry veteran with deep experience in revenue management, data products, or accommodation OTAs - An entrepreneur at heart — someone with a track record of taking businesses from zero to one, or a self-directed leader who creates momentum without needing organisational scaffolding - Comfortable with ambiguity and energised by the challenge of building something new Why join us now? - Vio is an exceptional innovator in the accommodation booking space, using modern technology and a customer centric approach to innovate in ways few can. Bringing our data to new customers in the industry would often change how they run their operations, significantly increasing their competitiveness and its an honour to be a driver of such change - In 2026, we underwent a company-wide rebrand and launched our first StoryTelling marketing campaign in the UK. This was the next step in our commitment to help travelers book like insiders, and to establish Vio as a consumer-facing, creative brand. - The mobile applications (iOS https://apps.apple.com/us/app/vio-com-book-hotel-deals/id1639101398 and Android https://play.google.com/store/apps/details?id=com.vio.mobileapp&hl=en_US&gl=US) we launched in 2023 have been a big success, reaching 5 million installs and earning strong customer reviews. - We’re a passionate and diverse team of tech enthusiasts and creatives, with a commitment to the traveler above all else. - We reward our employees for the value they create by granting Stock Appreciation Rights https://medium.com/viodotcom/why-findhotel-offers-share-appreciation-rights-sar-1b688867d8c4 to all employees. What we offer - Plenty of chances to learn and grow within an open, diverse culture that promotes knowledge sharing, trust, and transparency. - A great compensation package, perks, and benefits – including significant stock appreciation rights. - Flexible time off, with as many holidays as you need, and a chance to work remotely. - You’ll be part of an international team https://medium.com/viodotcom/2021-our-people-in-numbers-b72145c3fa9b in one of the best office locations in Amsterdam - We value good food and offer catered lunches from various cuisines, great coffee, and the occasional barbecue in our garden. - We enjoy getting together to celebrate our wins, with company events in Amsterdam and abroad. - A budget for your home office - Access to free mental health support via OpenUp https://openup.com/ We encourage people from all ethnic groups, genders, sexualities, ages, and abilities to apply. If this job description resonates with you, we’d love to hear from you. Please note: Although this role can be remote, we are only considering candidates based in Europe, preferably in Amsterdam. Blog posts worth reading - Our Core Values and What they Mean to our People https://medium.com/viotdotcom/our-core-values-and-what-they-mean-to-our-people-2880e69413c1 - Re-Imagining Metasearch for Traveling https://medium.com/@viodotcom1/vio-com-reimagining-metasearch-for-travelers-aa41548eebee - The Hiring Process at Vio https://medium.com/viodotcom/the-hiring-process-at-vio-c658b3bf4be2 - Our Rebrand https://www.vio.com/blog/the-journey-behind-vios-new-brand - What we celebrate at Vio https://medium.com/viodotcom/what-we-celebrate-at-findhotel-53cb261b7d9d Follow us on Instagram https://www.instagram.com/lifeatviodotcom/ and TikTok https://www.tiktok.com/@vio.com.travel to see what life at Vio looks like.", "summaryDescription" : "Head of Vio Data Solutions at Vio. Skills: Data product lifecycle, Sales, Team leadership. Identify data products. 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"teamCollaboration" : "Cross-functional teams; Technical teams; Legal teams; Product teams; Senior leadership", "domainKnowledge" : "Music industry; Entertainment industry; Data integration; Content licensing; Metadata standards; Media ecosystems; Music charts; Streaming data; Record labels; Film studios; Talent agencies; Global market share", "domainList" : [ "music-industry", "entertainment-industry", "data-integration", "content-licensing", "metadata-standards", "media-ecosystems", "music-charts", "streaming-data", "record-labels", "film-studios", "talent-agencies", "global-market-share" ], "domainSpecificKnowledge" : [ "Music industry", "Entertainment industry", "Data integration", "Content licensing", "Metadata standards", "Media ecosystems", "Music charts", "Streaming data", "Record labels", "Film studios", "Talent agencies", "Global market share" ], "toolProficiency" : [ "CRM systems", "Partnership management tools" ], "communicationSkills" : "Verbal communication; Written 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"rawDescription" : "Luminate is the entertainment industry’s preeminent data and insights partner, serving as the single source of truth for record labels, film studios, talent agencies, and every part of the music and entertainment ecosystem. By aggregating data from over 500 verified sources, Luminate provides customers with the objective validation needed to make critical business decisions and track global market share. While its data famously fuels the Billboard Charts and the Variety Streaming Originals Charts, Luminate’s primary mission is to empower the entertainment industry with essential, accurate and objective data. Luminate is currently seeking a Director of Data Partnerships to act as a key lieutenant to our VP of Partnerships, turning high-level strategy into tangible, data-driven alliances. The Role: As the Director of Data Partnerships, you will be the engine room of our partnership ecosystem. You aren't just managing accounts; you are identifying the \"next big thing\" in data integration and ensuring our partners—from streaming giants to major studios—see Luminate as their most vital collaborator. Develop and maintain strategic data partnerships with key players in the music and entertainment industries, consistently nurturing these relationships through regular communication and value-driven proposals. Lead business development initiatives to identify and secure new data integration opportunities that align with company objectives and enhance the organization's market position. Negotiate complex partnership proposals, focusing on content licensing, metadata standards, and technical integration requirements. Analyze market trends and competitive landscape within the music and entertainment sectors to identify emerging partnership opportunities and potential data integration innovations. Present partnership progress, outcomes, and strategic recommendations to senior leadership on a monthly basis using data-driven insights and clear metrics. Collaborate cross-functionally with technical, legal, and product teams to ensure smooth implementation and management of data partnerships throughout their lifecycle. Represent the company at industry events, conferences, and networking opportunities to establish new connections and strengthen the organization's presence in the music and entertainment ecosystem. Who You Are: 5+ years of experience in business development, partnership management, or related roles within the music and entertainment industries Deep knowledge and contacts within the music industry and/or entertainment industry Proven track record of establishing and maintaining successful data partnerships with major industry players Strong understanding of data integration processes, content licensing models, and metadata standards in media ecosystems Excellent relationship management and negotiation skills with the ability to build consensus among diverse stakeholders Experience leading and developing small teams to achieve strategic business objectives Superior verbal and written communication skills with the ability to articulate complex technical concepts to non-technical audiences Analytical mindset with the ability to identify trends and opportunities within the rapidly evolving entertainment landscape Proficiency with CRM systems and partnership management tools As Luminate values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture. Additionally, applicants must be authorized to work for any employer in the U. S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. After submitting your application, you will receive a verification email. Please complete this verification to proceed with submitting your resume. For candidates based in New York: A good faith estimate of the salary range is $130k - $150k + bonus upon hire. We consider your skills and experience, what similar jobs pay at companies of our size, and ensure fair pay among colleagues. Final base salary offer amounts are determined by factors including your experience and expertise. In addition we are proud to offer additional perks and benefits that contribute and complete our total compensation package. Luminate reserves the right to change our compensation bands at any time. PMC is committed to the health and wellness of our employees. As part of our company-wide rollout of PMC’s paid healthcare plan, for this role the company pays 100% of the monthly health, dental and vision plan premiums for the employee and their family. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. More About Us: Luminate has incredible 30 year history that has made us who we are today. We power the Billboard Charts, but we also inform the entire music industry with exclusive research, data and insights. We serve the television and film industry, providing deep meta-data on every major production and title. Luminate is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Director of Data Partnerships at Luminate. Skills: Data Partnerships, Business Development, Data Integration, Entertainment Industry. Develop strategic data partnerships. 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"Strategic planning", "Business objectives alignment", "Market position enhancement", "Value-driven proposals", "Data-driven insights", "Metrics articulation", "Music industry", "Entertainment industry", "Media ecosystems", "Music charts", "Streaming data", "Record labels", "Film studios", "Talent agencies", "Global market share", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "CRM systems", "Partnership management tools" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f3cf292fd229c056ef0", "title" : "Head of Brand, Products, Solutions and Data, YouTube", "company" : "YouTube", "industry" : "Media", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, 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}, "location" : "Farmington Hills, Michigan, United States", "locations" : [ "Farmington Hills", "Michigan", "United States" ], "timestamp" : "2026-06-15T07:45:26.563", "fingerprint" : "777d67381ceeed3d322e97df3908d8d5a6ede7c8b5bc9d3d7bc75953da663534", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centriaautism/jobs/8568831002", "externalId" : "8568831002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Farmington Hills", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.4853125,-83.3771553" } ], "locationText" : "Farmington Hills, Michigan, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, 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: "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Negotiation" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Establish data-driven KPI, Establish Operational Performance dashboard, Lead BI competence center, Accelerate visualization creation, Foundational analytics, Advanced analytics, Predictive analytics, Establish ML roadmap, Establish AI roadmap, Establish GPT roadmap, Establish RAG roadmap, Data exploration, Data visualization, Data reporting, Establish self-service reporting framework, Data delivery, Information delivery, Use RAG, Improve RAG models, Data Management, Data governance, Data preparation, Data integration, Data warehousing, Machine Learning, Ensure daily functions completed, Communicate job planning, Monitor job performance, Appraise job performance, Manage high-performing team, Coach high-performing team, Develop high-performing team, Deliver best practice results, Deliver added value, Promote high standards, Understand expected standards, Understand expected behaviors", "teamCollaboration" : "Key stakeholders; Internal staff; Partners; Clients", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Healthcare industry; AI applications", "domainList" : [ "healthcare-industry", "ai-applications" ], "domainSpecificKnowledge" : [ "Healthcare industry", "AI applications" ], "toolProficiency" : [ "Microsoft Office Suite", "G Suite", "RAG models" ], "communicationSkills" : "Written communication; Verbal communication; Presentation skills", "problemSolvingSkills" : "Problem-solving capabilities", "specialRequirements" : "Office hours, Additional time required, Occasional shifts required", "outcomesObjectives" : "Transformational impact; Deliver information platforms; Deliver analytics platforms; Deliver solutions to stakeholders; Meet agreed objectives; Achieve best practice results; Deliver added value; Continuous improvement", "qualificationsBasic" : "Bachelor's in computer science, 15+ years experience, 3+ years leadership capacity, SQL proficiency, Data modeling experience", "qualificationsPreferred" : "MBA or master's degree, Healthcare industry experience, PhD preferred, Cloud platform certs", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary The Senior Director of Data, BI and Engineering has primary responsibility for setting the strategy and vision and overseeing the ongoing duties of the Business Intelligence/Data Analytics (BI/DA) Team. This role will be responsible for all strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with BI/DA. The role is ideal for ambitious and self-motivated individuals who want to build a new team that can have a transformational impact in a fast-growing enterprise. The Senior Director of Data, BI and Engineering will lead their teams by establishing and executing a vision for delivering information and analytics platforms and solutions to the business’s key stakeholders, including internal staff, partners, and clients. Duties and Responsibilities The below reflects the essential functions considered necessary for this role and shall not be construed as a detailed description of all work requirements inherent in the job or assigned by supervisory personnel. This job description is used as a guide only and not inclusive of all responsibilities and job duties. Establish data-driven KPI and Operational Performance dashboard across the enterprise. Lead the BI competence center/COE/Claude skills for accelerating visualization creation. Foundational analytics Advanced/predictive analytics Claude skills Establishing a BI/Data/GPT/RAG/Machine Learning roadmap. Data exploration, visualization, reporting Self-service reporting framework Data/Information delivery Use of RAG and improvement of the RAG models Data Management Data governance Data preparation – sources and integration Data warehousing Machine Learning Ensuring the daily functions of the department are completed by communicating job expectations; planning, monitoring, and appraising job results; Managing, coaching, and developing a high-performing team that meets agreed objectives and delivers best practice results, added value, and continuous improvements; Consistently promote high standards through personal example and rollout through the team so that each team member understands the standards and behaviors expected of them. Qualifications Education/Licenses A degree in computer science, mathematics, operations, management, or a related field is required MBA or a master’s degree would be a significant plus Work Experience 15+ years (and 3+ years in a leadership capacity) of progressively responsible experience in a directly related area, during which both professional capabilities have been clearly demonstrated Industry/domain skills in the healthcare industry will be a plus BI/Data Analytics related skills: Thought leadership on advancing BI/DA within the organization Expertise/experience in the use of BI/Data Analytics platform Data modeling – logical and physical; working knowledge of multidimensional data modeling, such as star schemas, snowflakes, denormalized models, and handling “slow-changing” dimensions/attributes Some experience in data science, statistical analysis, data mining, and predictive algorithms, including POC development Experience and understanding of a wide variety of analytical processes Experience with AI generated code, specifically Claude Experience with RAG and Machine Learning applications Azure cloud and functions experience, including microservices architecture Equipment and Technology Requirements Advanced computer skills Advanced knowledge of laptop/desktop PC Proficiency in Microsoft Office Suite Proficiency in G Suite Other Competency Requirements Ability to follow written instructions Ability to use computers and computer/software programs Ability to communicate expressively and receptively Knowledge and Skills Experience interacting with C-level executives. Excellent written and verbal communication skills. Excellent presentation skills. Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Best-in-class problem-solving capabilities and the ability to address a diverse set of business requirements. Proven ability to build and motivate a team to achieve well-communicated expectations. Proven robust negotiating and consensus-building abilities. Proven skills to work effectively across internal functional areas in ambiguous situations. Working Conditions Centria's office hours are Monday through Friday from 8:30 AM – 6:00 PM. Additional time or occasional shifts in schedule may be required as dictated by the needs of the business for projects and meetings. Physical Demands While performing the duties of this job, physical requirements such as bending, reaching, lifting, pushing, or pulling up to 30 pounds may be required. This role will require sitting most of the day as well as walking and standing periodically. This role may require close visual acuity on computer screens or monitors and the ability to analyze data and figures on a screen. We are an equal opportunity employer and value diversity at our Company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, Veteran status, or disability status. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position. Centria reserves the right to amend this job description at any time, with or without written notice.", "summaryDescription" : "Senior Director of Data, BI and Engineering at Centria Autism. Skills: Data science, Data engineering, Machine learning, Business intelligence. Establish data-driven KPI. 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Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "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" : "6a3066fff292fd229cfb805a", "title" : "Manager, International Data and Strategy", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 125000.0, "max" : 160000.0, "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" : "2026-06-16T11:06:39.308", "fingerprint" : "e94f06cfdc68def5c408265f1856d6fe9ae9b66f2e39878d1bcb2aa5fb6e5d61", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5263067008", "externalId" : "5263067008", "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", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AWS Redshift, Adobe Marketing Suite, AEP, AEM, AJO, Power BI, Tableau", "professionalSkills" : [ "Data strategy", "Product ownership", "Technical leadership" ], "hardSkillsList" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Influencing" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Cloud data platforms", "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" }, { "name" : "Influencing" } ], "majorSkills" : "Data strategy, Product ownership, Technical leadership", "majorSkillsList" : [ "Data strategy", "Product ownership", "Technical leadership" ], "coreResponsibilities" : "Develop data strategy, Own product roadmaps, Lead technical initiatives, Manage enterprise-scale data initiatives, Oversee cloud data platforms, Oversee data lakes, Oversee governance frameworks, Ensure privacy and compliance, Manage consent data, Engage senior leaders, Work with technical partners, Motivate teams", "teamCollaboration" : "Cross-functional teams; Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Manager, International Data and Strategy at The National Football League. Skills: Data strategy, Product ownership, Technical leadership. Develop data strategy. Own product roadmaps", "postedDate" : "2026-06-15T23:29:04.090", "createdAt" : "2026-06-15T23:29:04.090", "lastUpdated" : "2026-06-16T11:06:39.308", "ingestTimestamp" : "2026-06-15T23:29:04.090", "mongoId" : "6a3066fff292fd229cfb805a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Influencing", "Data strategy", "Product ownership", "Technical leadership", "Fan engagement", "Lifecycle marketing", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca54074d8ee00a09b567c", "title" : "Director of Data Services", "company" : "Gibson Dunn", "industry" : "Legal", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Director of Data Services in Los Angeles, USA, adjusted for executive seniority and the legal industry." }, "location" : "Los Angeles", "locations" : [ "Los Angeles", "New York City", "Washington", "D.C." ], "certifications" : [ "CDMP", "TOGAF", "Snowflake SnowPro", "AWS data certifications", "Azure data certifications", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T03:25:33.704", "fingerprint" : "33e5c68b9680cfa8bb5e0915581bf531797d37df1009e5f5aedf2224f88fbae7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gibsondunn/jobs/4259418009", "externalId" : "4259418009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Washington, D. 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C., District of Columbia, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, Azure, Tableau, Power BI, Looker, Vector databases, Embedding workflows", "professionalSkills" : [ "Enterprise data strategy", "Data governance", "Data architecture", "Analytics products", "AI infrastructure", "Data quality", "Access control", "Talent development", "Succession planning", "Data literacy", "Data culture", "Benchmarking", "Innovation" ], "hardSkillsList" : [ "Data engineering", "Data architecture", "Enterprise data", "Data warehouse architecture", "ETL/ELT pipeline development", "Data governance frameworks", "Data ownership models", "Classification schemas", "Stewardship programs", "Master data management", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Retrieval-augmented generation", "Vector databases", "Embedding workflows", "Knowledge retrieval" ], "softSkillsList" : [ "Executive presence", "Leadership" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Enterprise data", "level" : "intermediate" }, { "name" : "Data warehouse architecture", "level" : "intermediate" }, { "name" : "ETL/ELT pipeline development", "level" : "intermediate" }, { "name" : "Data governance frameworks", "level" : "intermediate" }, { "name" : "Data ownership models", "level" : "intermediate" }, { "name" : "Classification schemas", "level" : "intermediate" }, { "name" : "Stewardship programs", "level" : "intermediate" }, { "name" : "Master data management", "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" : "Retrieval-augmented generation", "level" : "intermediate" }, { "name" : "Vector databases", "level" : "intermediate" }, { "name" : "Embedding workflows", "level" : "intermediate" }, { "name" : "Knowledge retrieval", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Executive presence" }, { "name" : "Leadership" } ], "teamCollaboration" : "AI Team program; Firm leadership; Practice group heads; IT department", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Attorney-client privilege; Confidentiality rules; Professional responsibility; Data management; AI data management; Cloud-native architecture; Distributed systems", "domainList" : [ "attorney-client-privilege", "confidentiality-rules", "professional-responsibility", "data-management", "ai-data-management", "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Attorney-client privilege", "Confidentiality rules", "Professional responsibility", "Data management", "AI data management", "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Snowflake", "Azure", "Harmonic" ], "documentationSkills" : "Architecture diagrams", "innovationCreativity" : "Import innovations", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Deliver analytics products; Achieve lasting adoption", "qualificationsBasic" : "15+ years experience, 5+ years Director/VP/executive director, Build enterprise data infrastructure, Data warehouse architecture, ETL/ELT pipeline development, Enterprise data governance, Modern data stack technologies, Cloud data warehouses, Orchestration tools, Data catalog platforms, Lineage platforms, BI visualization tooling, Data governance frameworks, Organizational adoption, Data ownership models, Classification schemas, Stewardship programs, Attorney-client privilege, Confidentiality rules, Professional responsibility, Data management, AI data management, Master data management, Multi-entity environment, Multi-jurisdictional environment, Advanced degree, Data Science degree, Computer Science degree, Information Management degree, Statistics degree, JD/MBA with quantitative background", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified, CDMP, TOGAF, Snowflake SnowPro, AWS data certifications, Azure data certifications", "rawDescription" : "Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision. Based in Los Angeles, New York or Washington, D.C., the Director of Data Services will be responsible for managing the way Gibson Dunn captures, governs, integrates, and activates its data across every financial system, matter, client relationship, and AI model that the firm deploys. This role will establish the data foundation upon which the firm's AI program, business intelligence capability, and operational decision-making rest. This executive-level role will build the firm's first enterprise-grade data architecture, create a lasting data governance culture, and deliver analytics products that give firm leadership and practice group heads a level of strategic intelligence the firm has never had before. This role reports to the Chief Legal Operations Officer. Responsibilities include: Enterprise Data Strategy Owning and continuously evolving the firm's enterprise data strategy and multi-year roadmap approved by firm leadership, integrating with the AI strategy, and aligning to the firm's financial, operational, and competitive priorities. Advising the CLOO on data's strategic implications including: the value of data assets the firm already holds, the investments required to realize that value, and the risks of continued data fragmentation. Establishing Gibson Dunn's data vision by articulating what the firm's data estate will look like at full maturity, what decisions it will enable, and how it will position the firm competitively. Building and chairing the firm's Data Governance Council. Leading annual data strategy reviews with firm leadership presenting progress, ROI, and updated priorities against the multi-year roadmap. Data Architecture building a community of data users; and expanding self-serve analytics capability across the firm. Data Governance serving as the firm's data compliance authority. Representing the firm's data interests in enterprise technology decisions, ensuring architecture, security, and governance requirements are built into every major system procurement. AI Data Enablement Serving as an essential executive business partner on AI infrastructure: owning the data layer that powers all firm AI programs, including retrieval-augmented generation pipelines, vector databases, embedding workflows, and the knowledge retrieval infrastructure attorneys use to surface precedents and work product. Defining and enforcing data quality, classification, and access-control standards governing which firm data is eligible for AI retrieval, training, or fine-tuning, ensuring all AI use of firm data meets confidentiality, privilege, and security requirements. Building and maintaining AI-ready data infrastructure at the pace the AI Team program requires, coordinating with IT to remove data blockers for every AI deployment. Owning the firm's data audit logging infrastructure (Harmonic) for AI tools, ensuring complete, auditable records of what data AI tools accessed, when, and by whom. Executive Leadership Building, leading, and developing a high-performing organization of professionals across data governance, analytics, records, and governance, with deep commitment to talent development and succession planning. Serving as an executive sponsor for data literacy and data culture initiatives across the firm, demonstrating personally that data-driven decision making is how Gibson Dunn's leadership operates. Maintaining a strong external network with data leaders in professional services, technology, and financial services to continuously benchmark the firm's data maturity and import relevant innovations. Qualifications: 15+ years of progressive experience in data engineering, data architecture, analytics, or enterprise data strategy; at least 5 years in a Director, VP, or executive director-level role. Proven track record building enterprise data infrastructure from the ground up in a complex, multi-system environment, including data warehouse architecture, ETL/ELT pipeline development, and enterprise data governance. Deep expertise in modern data stack technologies: cloud data warehouses (Snowflake, Azure or equivalent), orchestration tools, data catalog and lineage platforms, and BI visualization tooling. Proven experience developing and implementing data governance frameworks that achieve lasting organizational adoption, including data ownership models, classification schemas, and stewardship programs. Exceptional executive presence: ability to translate data complexity into strategic insight for partners, managing partners, and peers. Strong track record building and leading multidisciplinary data organizations spanning engineering, analytics, and governance. Professional services, legal, financial services, or other highly regulated, data-sensitive industry experience. Experience: Prior experience at a law firm, in-house legal department, or legal technology company. Familiarity with legal systems: Aderant (financial/billing), iManage (DMS), Intapp (conflicts/risk/NBI), or comparable platforms. Experience building AI data infrastructure: RAG pipelines, vector databases, embedding workflows, and LLM evaluation data architectures. Understanding of attorney-client privilege, confidentiality rules, and professional responsibility as applied to data management and AI. Experience with master data management (MDM) in a multi-entity, multi-jurisdictional environment. Advanced degree in Data Science, Computer Science, Information Management, Statistics, or related field; or JD/MBA with strong quantitative background. Professional certifications in data governance, architecture, or cloud platforms (CDMP, TOGAF, Snowflake SnowPro, AWS/Azure data certifications). Gibson Dunn will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law. Compensation retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses. ______ For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible. ______ Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations. If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.", "summaryDescription" : "Director of Data Services at Gibson Dunn", "postedDate" : "2026-06-13T21:53:49.307", "createdAt" : "2026-06-13T21:53:49.307", "lastUpdated" : "2026-06-15T03:25:33.704", "ingestTimestamp" : "2026-06-13T21:53:49.307", "mongoId" : "6a2ca54074d8ee00a09b567c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data engineering", "Data architecture", "Enterprise data", "Data warehouse architecture", "ETL/ELT pipeline development", "Data governance frameworks", "Data ownership models", "Classification schemas", "Stewardship programs", "Master data management", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Retrieval-augmented generation", "Vector databases", "Embedding workflows", "Knowledge retrieval", "Executive presence", "Leadership", "Enterprise data strategy", "Data governance", "Analytics products", "AI infrastructure", "Data quality", "Access control", "Talent development", "Succession planning", "Data literacy", "Data culture", "Benchmarking", "Innovation", "Roadmap planning", "Attorney-client privilege", "Confidentiality rules", "Professional responsibility", "Data management", "AI data management", "Cloud-native architecture", "Distributed systems", "CDMP", "TOGAF", "Snowflake SnowPro", "AWS data certifications", "Azure data certifications", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "Azure", "Harmonic" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30904cf292fd229c0b254a", "title" : "Technical Program Manager - AI & Data Systems", "company" : "Abnormal AI", "industry" : "Technology", "salary" : { "min" : 110900.0, "max" : 159500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-16T12:45:29.411", "fingerprint" : "faf61ab3a00dfaf0675711dc2aa19850a6b3a480595c2a8c9b9b845e97af841c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abnormal.ai/careers/jobs/7773951003?gh_jid=7773951003", "externalId" : "7773951003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, Machine Learning, Data Systems, Python, Java, C++, SQL, NoSQL, Cloud Platforms, AWS, GCP, Azure, CI/CD, Docker, Kubernetes", "professionalSkills" : [ "Program management", "Technical program management", "Stakeholder management", "Risk management", "Cross-functional leadership" ], "hardSkillsList" : [ "Project planning", "Resource allocation", "Budget management", "Technical documentation", "Process improvement" ], "hardSkills" : [ { "name" : "Project planning", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "majorSkills" : "AI, Data Systems, Program Management", "majorSkillsList" : [ "AI", "Data Systems", "Program Management" ], "coreResponsibilities" : "Define and drive AI/ML and data systems roadmap, Manage end-to-end execution of technical programs, Identify and mitigate program risks, Collaborate with engineering and product teams, Communicate program status to stakeholders, Improve program management processes, Ensure successful delivery of AI/ML initiatives, Oversee data infrastructure projects", "teamCollaboration" : "Engineering teams; Product management; Data science teams; Executive stakeholders", "projectManagementSkills" : [ "Agile", "Scrum", "Roadmap planning", "Risk management" ], "domainKnowledge" : "AI/ML; Data systems; Large-scale data platforms; Cloud infrastructure", "domainList" : [ "ai-ml", "data-systems", "large-scale-data-platforms", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "AI/ML", "Data systems", "Large-scale data platforms", "Cloud infrastructure" ], "toolProficiency" : [ "JIRA", "Confluence", "Gantt charts" ], "communicationSkills" : "Program status reporting; Technical presentations", "documentationSkills" : "Technical documentation; Program documentation", "problemSolvingSkills" : "Risk mitigation; Root cause analysis", "outcomesObjectives" : "Deliver AI/ML programs on time; Improve data system efficiency; Ensure successful product launches", "qualificationsBasic" : "5+ years of experience in program management, Experience with AI/ML and data systems, Experience managing complex technical projects, Experience with software development lifecycle", "qualificationsPreferred" : "Master's degree in a technical field, Experience with large-scale data platforms, Experience with cloud platforms (AWS, GCP, Azure), Experience with CI/CD pipelines, Experience with Agile methodologies", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Role Abnormal AI is hiring a Technical Program Manager to lead delivery of high-impact programs across our AI Platform and Data Systems teams. You'll own strategic initiatives from CIO leadership — spanning AI governance, the data foundation for AI agents, AI outcomes analytics, and new agent and platform rollouts — and turn them into structured, well-tracked programs. You'll define processes where none exists, drive valuable outcomes, and keep executive stakeholders aligned and ahead of surprises. This role sits at the intersection of engineering execution and leadership visibility, requiring someone who thrives in ambiguity, earns credibility through follow-through, and instinctively reaches for AI to solve real delivery challenges. Who you are An experienced Program Manager who takes initiative where the goal is set but the path isn't — and builds the structure around it: milestones, owners, risks, and a clear route to delivery. Energized by high-stakes, high-visibility work — you want your programs to matter, and you hold yourself accountable when they don' t. Action-biased and momentum-driven — you don't wait for perfect clarity to begin building structure or driving toward an outcome. Equally comfortable in a room with a C-level executive and in the weeds with an engineering team lead — you adjust your communication without losing precision. A proactive problem-solver who surfaces blockers and risks before they become escalations. Experienced leading projects and programs in highly technical environments — you extract delivery signal from engineering deep-dives, connect technical decisions to program risk, and push back on sequencing when it matters. Disciplined about visibility: stakeholders always know where things stand, and surprises don't happen on your programs. A trusted partner who earns credibility through follow-through — you build relationships that make cross-functional coordination feel easy. Calm and effective in ambiguity — you create structure where none exists and adapt when priorities shift. Comfortable using AI to solve problems and streamline workflows — for yourself and your team — and actively looking for new ways to put it to work. What you will do Own program delivery for high-impact AI Platform and Data Systems initiatives, from initiation through completion — including scope definition, milestone planning, dependency and escalation management, and stakeholder alignment. Translate ambiguous mandates from IT leadership into structured, trackable programs with clear owners and success criteria. Serve as the coordination layer for high-impact, cross-functional programs — working in lockstep with engineering leaders and teams, ensuring dependencies are visible and delivery stays on track. Maintain executive-ready status reporting for AI Data Systems leadership and C-level stakeholders, ensuring no surprises and consistent confidence in program and portfolio health. Identify, escalate, and mitigate risks across programs before they impact delivery timelines or stakeholder trust. Partner with technical team-leads to understand delivery capacity, technical dependencies, and sequencing trade-offs. Use AI tools in your own program execution — and build lightweight workflows, skills, or automations that make status reporting, risk tracking, and stakeholder updates faster and more reliable. Support roadmap planning and resource forecasting at the program and portfolio level. Drive retrospectives and continuous improvement practices, and contribute to building a high-performing, AI-native program management function within the CIO organization. Must Haves 3-4 years of program or project management experience leading complex, cross-functional technical initiatives — ideally in a high-growth SaaS or enterprise tech environment. Demonstrated ability to take an early-stage idea — where the goal is clear but the path isn't — and build it into structured delivery with measurable outcomes. Proven ability to move fast and drive velocity — keeping programs progressing through ambiguity and unknowns. Track record of managing executive-level stakeholder relationships, including C-level communication, with poise and precision. Strong experience working alongside technical team leads in AI, engineering, data, or platform contexts — you can follow the technical conversation, ask the right questions, and push back when sequencing or assumptions need challenging. Familiarity with AI tools and an automation instinct — you naturally ask \"how can I use AI to do this?\" and have applied it to improve how you work, whether personally or professionally. Excellent command of project tracking and program management tools (Linear, Jira, ServiceNow, Asana, or equivalent). Exceptional communicator across technical and non-technical audiences — written updates, verbal alignment, and executive readouts are all in your wheelhouse. Demonstrated ability to drive accountability and alignment across teams without formal authority. Bachelor's degree in Computer Engineering, Information Technology, Business Administration, Information Security or a related field Nice to Haves Hands-on experience using agentic AI tools (Claude Code, Codex, Cowork, or similar) to build skills, automations, or multi-step workflows — not just to use AI passively. Familiarity with AI/ML platform delivery, data engineering workflows, data warehousing, or MLOps practices. PMP, CSM, or SAFe certification. Experience at a high-growth cybersecurity or SaaS company. Experience in a remote-first, distributed team environment. Exposure to cloud infrastructure (AWS, GCP, or Azure) and how it intersects with data and AI platform programs. Experience with Agile/Scrum ceremonies and sprint-level delivery in addition to program-level ownership. #LI-ME1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $110,900—$159,500 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.", "summaryDescription" : "Technical Program Manager - AI & Data Systems at Abnormal AI. Skills: AI, Data Systems, Program Management. 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Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. 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"llmIndustryConfidence" : 0.98 }, { "id" : "69fb58e04c40e2acd1912028", "title" : "Subject Matter Expert (Classified Satellite System for Department of War)", "company" : "Competitive Range Solutions, LLC", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert in the Government industry in Fort Detrick, United States, adjusted for company size and remote work." }, "location" : "Fort Detrick, MD", "locations" : [ "Fort Detrick", "MD" ], "timestamp" : "2026-06-16T01:12:21.059", "fingerprint" : "5b304e0f19147eb1f87582fc51504e89fb3d1ecd27a7e0db68a6956620fef906", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://competitive-range-solutions-llc.breezy.hr/p/2c9369260fd6-subject-matter-expert-classified-satellite-system-for-department-of-war", "externalId" : "2c9369260fd6", "industryFunction" : { }, "structuredLocations" 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Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. Lead cross-functional teams", "createdAt" : "2026-06-16T01:59:44.833", "lastUpdated" : "2026-06-16T15:07:30.375", "ingestTimestamp" : "2026-06-16T01:59:44.833", "mongoId" : "6a30794df292fd229c031216", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Leadership", "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence", "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks", "Agile", "B2B SaaS", "Cloud-native architecture", "GDPR", "SOC 2", "PIPEDA", "CCPA", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "skillCount" : 90, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f53f292fd229c057fae", "title" : "Data Center Technician, Server Operations (All Shifts)", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Data Center Technician in Clarksville, United States, adjusted for industry and full-time employment." }, "location" : "[Clarksville, TN, USA, [Clarksville, TN, USA], Clarksville, null, TN, US]", "locations" : [ "[Clarksville, TN, USA, [Clarksville, TN, USA], Clarksville, null, TN, US]" ], "timestamp" : "2026-06-16T11:28:44.494", "fingerprint" : "71a05fa9d8eb2612cd2410175430bedd096a2a7def168af81b3043fcd07de16a", "source" : "google", "language" : "en", "externalId" : "134019055752225478", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Clarksville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.5277607,-87.3588703" } ], "locationText" : "Clarksville, Tennessee, United States", "coreResponsibilities" : "Maintain server hardware, Perform hardware installations, Perform hardware removals, Troubleshoot server hardware issues, Respond to hardware alerts, Perform hardware maintenance", "problemSolvingSkills" : "Troubleshoot server hardware issues", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Data Center Technician, Server Operations (All Shifts). Maintain server hardware. Perform hardware installations", "postedDate" : "2026-06-16T01:50:04.525", "createdAt" : "2026-06-16T01:50:04.525", "lastUpdated" : "2026-06-16T11:28:44.494", "ingestTimestamp" : "2026-06-16T01:50:04.525", "mongoId" : "6a307f53f292fd229c057fae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2cebc274d8ee00a0a7757c", "title" : "Instructor - Various Positions", "company" : "SUNY Clinton - Clinton Community College", "industry" : "Education", "salary" : { "min" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Plattsburgh, NY", "locations" : [ "Plattsburgh", "NY" ], "timestamp" : "2026-06-16T05:00:21.198", "fingerprint" : "639646665b1166dcbf6c09e4206d47c52dda453d1951685cb191991129c635ed", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://suny-clinton-clinton-community-college.breezy.hr/p/ef4751037696-instructor-various-positions", "externalId" : "ef4751037696", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Plattsburgh", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.6960855,-73.4542915" } ], "locationText" : "Plattsburgh, New York, United States", "majorSkills" : "Welding", "majorSkillsList" : [ "Welding" ], "coreResponsibilities" : "Train in welding", "qualificationsBasic" : "Experience in welding field", "qualificationsPreferred" : "Degree in related field", "workSiteFlexibility" : "Onsite", "rawDescription" : "Instructors – Welding $65 per hour Clinton Community College is seeking instructors for daytime, evenings, and occasional Saturdays for training in the following areas: Welding MINIMUM QUALIFICATIONS: Applicants should have experience working in the field of welding. A degree in a related field", "summaryDescription" : "Instructor - Various Positions at SUNY Clinton - Clinton Community College. Skills: Welding. Train in welding", "createdAt" : "2026-06-14T18:42:20.109", "lastUpdated" : "2026-06-16T05:00:21.198", "ingestTimestamp" : "2026-06-14T18:42:20.109", "mongoId" : "6a2cebc274d8ee00a0a7757c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Welding" ], "skillCount" : 1, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0d820358b93c861e9610d6", "title" : "Production Engineer – Production Systems & Data", "company" : "Mercedes-Benz Manufacturing Poland", "industry" : "Manufacturing", "salary" : { "min" : 130000.0, "max" : 185000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Production Engineer in Jawor, Poland, adjusted for the manufacturing industry and company size." }, "location" : "Poland-Lower Silesia-Jawor", "locations" : [ "Poland-Lower Silesia-Jawor", "Gottlieba Daimlera 5, , Jawor" ], "timestamp" : "2026-06-16T01:14:16.461", "fingerprint" : "7d6f1d9f865dbb8a623c467d878ef483fbdbdaa279ead8570ed40cf7acd5f710", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898030", "externalId" : "898030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jawor", "state" : "Lower Silesia", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.0677021,16.1976136" } ], "locationText" : "Jawor, Lower Silesia, Poland", "minimumEducation" : "Bachelor's", "technicalSkills" : "IT systems", "professionalSkills" : [ "System thinking", "Process-oriented working style" ], "hardSkillsList" : [ "Root cause analysis", "Analytical mindset" ], "hardSkills" : [ { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Analytical mindset", "level" : "intermediate" } ], "majorSkills" : "Production systems, Process analysis", "majorSkillsList" : [ "Production systems", "Process analysis" ], "coreResponsibilities" : "Ensure stable operation, Develop production systems, Integrate production, processes, IT, Analyze end-to-end process, Identify system issues, Implement improvements, Enhance efficiency, Enhance quality, Enhance reliability, Participate in projects, Monitor production systems performance, Analyze system data, Interpret results, Align systems with operational needs, Perform root cause analysis, Support implementation of system changes, Validate results in production, Drive continuous improvement initiatives, Provide operational support, Solve system-related production issues, Collaborate with IT stakeholders, Collaborate with Engineering stakeholders, Collaborate with Quality stakeholders", "teamCollaboration" : "Cross-functional collaboration; Collaborate with IT; Collaborate with Engineering; Collaborate with Quality", "domainKnowledge" : "Manufacturing processes; Production logic; Lean Manufacturing", "domainList" : [ "manufacturing-processes", "production-logic", "lean-manufacturing" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Production logic", "Lean Manufacturing" ], "problemSolvingSkills" : "Problem-solving attitude; Root cause analysis", "outcomesObjectives" : "Enhance efficiency; Enhance quality; Enhance reliability", "qualificationsBasic" : "Bachelor’s degree in engineering, Experience in a production environment, Basic understanding of IT systems, Experience in cross-functional collaboration, Very good knowledge of English", "qualificationsPreferred" : "Production automotive experience a plus, Experience in project environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Production Engineer – Production Systems & Data you will be responsible for ensuring stable operation and further development of production systems by integrating production, processes and IT. Your role will be focus on end-to-end process analysis, system issue identification and implementation of improvements to enhance efficiency, quality and reliability of production processes. Key Responsibilities Participate in projects related to production system development and ramp-up of the production Monitor production systems performance and ensure stable system operation Analyze system data and interpret results to improve performance Analyze end-to-end production processes and align systems with operational needs Identify system and process issues and perform root cause analysis Support implementation of system changes and validate results in production Drive continuous improvement initiatives (Lean Manufacturing, efficiency improvements) Provide operational support in solving system-related production issues Collaborate with IT, Engineering and Quality stakeholders in the development of the systems Qualifications Bachelor’s degree in engineering (Manufacturing, Mechanical, Automation, IT or related field) Experience in a production environment (processes, production lines; automotive is a plus) Basic understanding of IT systems supporting production Experience in cross-functional collaboration and project environment Very good knowledge of English Knowledge & Skills Strong understanding of manufacturing processes and production logic Analytical mindset and experience in root cause analysis System thinking (end-to-end process understanding) Ability to translate business needs into IT/system requirements Structured and process-oriented working style Strong communication and teamwork skills Proactive, self-driven and problem-solving attitude Mercedes-Benz Manufacturing Poland sp. zo. o.", "summaryDescription" : "Production Engineer – Production Systems & Data at Mercedes-Benz Manufacturing Poland. Skills: Production systems, Process analysis. Ensure stable operation. Develop production systems", "createdAt" : "2026-06-14T20:49:29.413", "lastUpdated" : "2026-06-16T01:14:16.461", "ingestTimestamp" : "2026-06-14T20:49:29.413", "mongoId" : "6a0d820358b93c861e9610d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Root cause analysis", "Analytical mindset", "Production systems", "Process analysis", "System thinking", "Process-oriented working style", "Manufacturing processes", "Production logic", "Lean Manufacturing" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a541074d8ee00a060140a", "title" : "Center Manager Berlin - various locations (m/w/d)", "company" : "GoStudent", "industry" : "Education", "salary" : { "min" : 44000.0, "max" : 62000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Berlin, Germany, adjusted for the Education industry and part-time employment." }, "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany" ], "timestamp" : "2026-06-13T08:15:34.366", "fingerprint" : "69e41a0a86d507db28f19e2e667ac6d94845ad5dc774a4e234b5b3dc8854c8c0", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://www.gostudent.org/en-gb/job-position/?gh_jid=4890404101", "externalId" : "4890404101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Local marketing", "Sales initiatives", "Customer retention", "Community engagement", "Business performance analysis", "Center utilization management", "Relationship building", "Educational solution identification" ], "hardSkillsList" : [ "KPI monitoring", "Performance metrics" ], "hardSkills" : [ { "name" : "KPI monitoring", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "majorSkills" : "Sales, Customer relationships, Business growth", "majorSkillsList" : [ "Sales", "Customer relationships", "Business growth" ], "coreResponsibilities" : "Develop center through local marketing, Develop center through sales initiatives, Develop center through customer retention, Develop center through referrals, Develop center through community engagement, Plan local marketing measures, Plan sales measures, Execute local marketing measures, Execute sales measures, Monitor KPIs, Use data to steer center, Analyze business performance, Derive actions to achieve targets, Manage center utilization, Ensure smooth day-to-day operations, Build relationships within local community, Strengthen center's local presence, Conduct consultations with parents, Conduct consultations with students, Identify educational solution, Ensure no parent inquiry goes unanswered, Ensure every family receives timely response, Ensure every family receives professional response", "domainKnowledge" : "Tutoring; Education", "domainList" : [ "tutoring", "education" ], "domainSpecificKnowledge" : [ "Tutoring", "Education" ], "continuousLearning" : "Development opportunities", "problemSolvingSkills" : "Find solutions", "outcomesObjectives" : "Center growth; Center success; Achieve targets", "qualificationsBasic" : "Experience in sales, Experience in customer service, Experience in branch operations, Experience in customer-oriented roles", "qualificationsPreferred" : "Experience in sales, Experience in customer service, Experience in branch operations, Experience in customer-oriented roles", "workSiteFlexibility" : "Onsite", "rawDescription" : "Part-time, up to 30 hours/week, primarily afternoons (this will be dicussed & defined together with you in the interview process) Locations: Berlin-Mitte, Berlin-Rudow, Berlin-Alt-Köpenick, Berlin-Zehlendorf, Berlin-Prenzlauer Berg Studienkreis, part of the GoStudent Group, is one of Germany’s leading tutoring providers. For decades, we have been helping students unlock their full potential through high-quality tutoring, proven learning concepts, and personal support. As part of the GoStudent Group, one of Europe’s largest education companies, we combine the strengths of a trusted and established education brand with the innovation, technology, and resources of an international learning company. At Studienkreis, you take responsibility for a center as if it were your own – with real accountability, real results, and an environment that makes a difference. You support families in moments that matter to them while ensuring your center continues to grow and succeed. What You Will Accomplish You actively develop your center through local marketing and sales initiatives, customer retention activities, referrals, and community engagement You plan and execute local marketing and sales measures that increase visibility, attract new families, and contribute to sustainable growth You monitor the most important KPIs and use data to steer your center towards success You analyze business performance and derive concrete actions to achieve your targets You manage center utilization and ensure smooth day-to-day operations You build and maintain relationships within the local community and strengthen your center’s local presence You conduct consultations with parents and students and identify the right educational solution for their individual needs You ensure that no parent inquiry goes unanswered and that every family receives a timely and professional response What You Will Find Here Meaningful work with children and families – every single day Real ownership: your center, your responsibility, your success The opportunity to think and act like an entrepreneur while directly influencing business results Structured onboarding and ongoing support from experienced colleagues and central teams Clear development opportunities within the GoStudent Group A dynamic environment combining education, sales, marketing, and innovation A motivated team and a trusted brand that families across Germany know and value What You Bring You enjoy working with children, teenagers, and their parents – that’s where it starts You enjoy sales and building long-term customer relationships You proactively approach people and have experience in customer-facing roles, sales, consulting, or similar environments You take responsibility without waiting for instructions and find solutions before problems escalate You have a growing understanding of numbers and business results – or the willingness to develop it You are comfortable working with goals, KPIs, and performance metrics You think entrepreneurially and enjoy contributing directly to the success of your center You are organized, reliable, and able to coordinate multiple priorities at the same time You are flexible and available when parents and students need support You are open to digital tools and interested in using modern technologies, including AI-powered solutions, to make your work more efficient Experience in sales, customer service, branch operations, or similar customer-oriented roles is a plus Compensation We offer a competitive salary package based on qualifications and experience, along with attractive performance-based earning opportunities linked to the success of your center. Further details will be discussed during the recruitment process. We Are Looking for People Who Want to Make an Impact Does this sound like you? We look forward to receiving your CV and a short motivation letter. Our Commitment to Openness We value your unique skills and your passion. We do not hire based on age, gender, nationality, or political views – we hire based on talent and motivation. Even if you do not meet every requirement, we encourage you to apply if you believe you can make a positive impact. Diversity makes us more creative, innovative, and stronger. Please upload your CV in PDF format, as other file formats may not be supported. By submitting your application, you agree that your personal data will be processed in accordance with our Applicant Privacy Policy. You also confirm that you have read and understood the policy.", "summaryDescription" : "Center Manager Berlin - various locations (m/w/d) at GoStudent. Skills: Sales, Customer relationships, Business growth. Develop center through local marketing. Develop center through sales initiatives", "postedDate" : "2026-06-11T18:41:12.453", "createdAt" : "2026-06-11T18:41:12.453", "lastUpdated" : "2026-06-13T08:15:34.366", "ingestTimestamp" : "2026-06-11T18:41:12.453", "mongoId" : "6a2a541074d8ee00a060140a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "KPI monitoring", "Performance metrics", "Sales", "Customer relationships", "Business growth", "Local marketing", "Sales initiatives", "Customer retention", "Community engagement", "Business performance analysis", "Center utilization management", "Relationship building", "Educational solution identification", "Tutoring", "Education" ], "skillCount" : 15, "jobCategory" : "other", "jobSubcategory" : "sk", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education" }, { "id" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafed74d8ee00a09d83d0", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:00:16.022", "fingerprint" : "631e7c202e064d4afe1cf26218eca91980ca6f7ea5bbd9e6d2a86d8ba1e5154e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Analytics enablement", "level" : "intermediate" }, { "name" : "Data engineering automation", "level" : "intermediate" }, { "name" : "Scalable data delivery", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. Lead platform reliability", "createdAt" : "2026-06-14T03:15:33.760", "lastUpdated" : "2026-06-15T08:00:16.022", "ingestTimestamp" : "2026-06-14T03:15:33.760", "mongoId" : "6a2cafed74d8ee00a09d83d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition", "Leadership", "Data Platform", "Decision Tooling", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Roadmap planning", "Data platform", "Decision tooling", "AI", "Data engineering", "Travel industry" ], "skillCount" : 42, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd53874d8ee00a0a3a568", "title" : "Data Science Chief Of Staff", "company" : "Abound", "industry" : "Data Science", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Science Chief of Staff in London, UK, adjusted for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T00:58:27.508", "fingerprint" : "9cf0df5edc3bee016721d5fc2d56d64cf77cb941c2623617628029d4debf08af", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/abound/a6486ee8-5536-4b48-8bf8-db9f02f64bd6/application", "externalId" : "a6486ee8-5536-4b48-8bf8-db9f02f64bd6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Model monitoring", "Change control", "Hiring engine management", "Performance management" ], "hardSkillsList" : [ "Data quality", "Model performance drift", "Stability monitoring", "Alerting" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Model performance drift", "level" : "intermediate" }, { "name" : "Stability monitoring", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" } ], "majorSkills" : "Data Science, Credit Risk, Model Deployment", "majorSkillsList" : [ "Data Science", "Credit Risk", "Model Deployment" ], "coreResponsibilities" : "Maintain trusted view of DS and Risk work, Chase blockers, Connect people, Make sure commitments land, Surface problems, Drive problems to resolution, Build monitoring layer across model estate, Define and run rituals, Coordinate model deployments, Monitor health of services, Monitor decisioning APIs, Dig into anomalies, Run operating rhythm of DS organisation, Manage change control process, Prepare decision-ready material, Manage dependencies across DS verticals, Manage dependencies across credit risk, Manage dependencies across engineering, Manage dependencies across product, Manage dependencies across compliance, Help run prioritisation, Run DS hiring engine, Track pipeline, Ensure interview quality, Onboard new joiners, Scale knowledge sharing, Scale documentation, Scale ways of working, Support performance management process, Reduce Director's overhead, Create space for focus, Be a thought partner", "teamCollaboration" : "Cross-functional teams; Senior stakeholders; DS Director; Head of Credit Risk; CRO; Exec team", "projectManagementSkills" : [ "Roadmap planning", "Prioritisation" ], "domainKnowledge" : "Consumer lending; Credit risk models; Decisioning models; Pricing models; Open Banking data", "domainList" : [ "consumer-lending", "credit-risk-models", "decisioning-models", "pricing-models", "open-banking-data" ], "domainSpecificKnowledge" : [ "Consumer lending", "Credit risk models", "Decisioning models", "Pricing models", "Open Banking data" ], "communicationSkills" : "Executive presentations; Clear writing", "documentationSkills" : "Documentation checks", "continuousLearning" : "Team learning forums", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "2-4 years quantitative, analytical or operational role, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Managed projects end-to-end, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. About the role We are hiring a Chief of Staff to act as the DS Director's right hand, with full visibility across a fast-scaling Data Science and Credit Risk organisation that builds and runs the decisioning, pricing and credit models behind every Abound product - across multiple verticals and markets. This is a high-impact role for someone early in their career who is exceptionally curious and operates with real autonomy. You won't be handed a playbook. You'll be handed context, access and a mandate - and trusted to figure out the rest. Your mission is simple: make sure that the DS and Risk team is - working on the right business priorities, and understanding the business impact - delivering at pace without introducing unnecessary bureaucracy - operating with great discipline and consistency (incl. change controls, reporting and communication) What you'll be doing Execution & follow-through - Maintain the single trusted view of all DS and Risk work across product verticals: status, owners, risks, dependencies - Chase blockers, connect people who should be talking, and make sure commitments actually land - Surface problems early and drive them to fast resolution Model & system health - Build and run the monitoring layer across our model estate: performance drift, stability, data quality, alerting - Define and run the rituals that catch problems early: model health reviews, incident follow-ups, documentation checks - Coordinate model deployments and bug fixes, and monitor the health of our services and decisioning APIs day to day - Dig into anomalies yourself first, then pull in the director or senior scientists when a judgment call is needed Operating cadence - Run the core operating rhythm of the DS organisation: planning cycles, delivery reviews, team learning forums - Manage the change control process, including - make sure senior stakeholders (e.g. DS Director, Head of Credit Risk, CRO) explicitly approve material changes to decisioning models - monitor post-change impact vs. expectation by working with the team - Prepare crisp, decision-ready material for the DS Director, the CRO and exec team Cross-team execution - Manage dependencies across DS verticals, credit risk, engineering, product and compliance - Help run prioritisation so trade-offs across products are made deliberately, not by accident Organisation - Run the DS hiring engine end to end: pipeline tracking, interview quality, and onboarding that gets new joiners productive fast - Help scale the team's knowledge sharing, documentation and ways of working - Support the performance management process DS Director leverage - Reduce the Director's overhead on coordination, tracking and follow-up - Create space for focus on credit strategy, model innovation and the team - Be a thought partner on whatever matters most that month Who you are - 2-4 years in a quantitative, analytical or operational role - data science, analytics, management consulting, fintech, or similar - Ideally, someone who managed projects end-to-end, e.g. an engagement manager in a consulting firm - Genuinely curious about how lending and credit models work: you don't need to have built one, but you'll want to understand ours, and you're comfortable enough in SQL/Python to look at the data yourself - Demonstrably autonomous: you can point to things you started, built or fixed without being asked - Ruthlessly organised and a clear writer: you turn chaos into structure and never drop a thread - Low ego, high ownership: equally happy presenting to the exec team and fixing an interview scheduling mix-up You are curious but structured, ambitious but humble. You earn authority by being consistently right and useful, not by title. What we offer - Everyone owns a piece of the company - equity - Hybrid with 3 days a week in the office - 25 days' holiday a year, plus 8 bank holidays - 2 paid volunteering days per year - One month paid sabbatical after 4 years - Employee loan - Free gym membership - Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering", "summaryDescription" : "Data Science Chief Of Staff at Abound. Skills: Data Science, Credit Risk, Model Deployment. Maintain trusted view of DS and Risk work. Chase blockers", "createdAt" : "2026-06-14T21:05:55.943", "lastUpdated" : "2026-06-16T00:58:27.508", "ingestTimestamp" : "2026-06-14T21:05:55.943", "mongoId" : "6a2cd53874d8ee00a0a3a568", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality", "Model performance drift", "Stability monitoring", "Alerting", "Data Science", "Credit Risk", "Model Deployment", "Model monitoring", "Change control", "Hiring engine management", "Performance management", "Roadmap planning", "Prioritisation", "Consumer lending", "Credit risk models", "Decisioning models", "Pricing models", "Open Banking data" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c694874d8ee00a0906c38", "title" : "Data Science Chief Of Staff", "company" : "Abound", "industry" : "Data Science", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Science Chief of Staff in London, UK, adjusted for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T21:52:24.593", "fingerprint" : "d811070b70f37053117e2f6bb5b57dc3ac98b4a5e7346e1b10008cd26b4bb3e6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Abound/a6486ee8-5536-4b48-8bf8-db9f02f64bd6/application", "externalId" : "a6486ee8-5536-4b48-8bf8-db9f02f64bd6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Model monitoring", "Change control", "Hiring engine", "Performance management" ], "hardSkillsList" : [ "Data quality", "Model performance", "Credit risk modelling" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Model performance", "level" : "intermediate" }, { "name" : "Credit risk modelling", "level" : "intermediate" } ], "majorSkills" : "Data Science, Credit Risk, Model Operations", "majorSkillsList" : [ "Data Science", "Credit Risk", "Model Operations" ], "coreResponsibilities" : "Maintain trusted view of DS and Risk work, Chase blockers, Connect people, Make sure commitments land, Surface problems, Drive problems to resolution, Build monitoring layer across model estate, Define and run rituals, Coordinate model deployments, Monitor health of services, Dig into anomalies, Run operating rhythm of DS organisation, Manage change control process, Prepare decision-ready material, Manage dependencies across DS verticals, Help run prioritisation, Run DS hiring engine end to end, Help scale team's knowledge sharing, Support performance management process, Reduce Director's overhead, Create space for focus", "teamCollaboration" : "Cross-functional teams; Senior stakeholders; DS Director; Head of Credit Risk; CRO; Exec team; Credit risk; Engineering; Product; Compliance", "projectManagementSkills" : [ "Roadmap tracking", "Prioritisation" ], "domainKnowledge" : "Consumer lending; Credit risk modelling; Decisioning models; Pricing models; Open Banking data", "domainList" : [ "consumer-lending", "credit-risk-modelling", "decisioning-models", "pricing-models", "open-banking-data" ], "domainSpecificKnowledge" : [ "Consumer lending", "Credit risk modelling", "Decisioning models", "Pricing models", "Open Banking data" ], "communicationSkills" : "Executive presentations; Clear writing", "documentationSkills" : "Documentation checks", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "2-4 years quantitative, analytical or operational role, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Managed projects end-to-end, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. About the role We are hiring a Chief of Staff to act as the DS Director's right hand, with full visibility across a fast-scaling Data Science and Credit Risk organisation that builds and runs the decisioning, pricing and credit models behind every Abound product - across multiple verticals and markets. This is a high-impact role for someone early in their career who is exceptionally curious and operates with real autonomy. You won't be handed a playbook. You'll be handed context, access and a mandate - and trusted to figure out the rest. Your mission is simple: make sure that the DS and Risk team is - working on the right business priorities, and understanding the business impact - delivering at pace without introducing unnecessary bureaucracy - operating with great discipline and consistency (incl. change controls, reporting and communication) What you'll be doing Execution & follow-through - Maintain the single trusted view of all DS and Risk work across product verticals: status, owners, risks, dependencies - Chase blockers, connect people who should be talking, and make sure commitments actually land - Surface problems early and drive them to fast resolution Model & system health - Build and run the monitoring layer across our model estate: performance drift, stability, data quality, alerting - Define and run the rituals that catch problems early: model health reviews, incident follow-ups, documentation checks - Coordinate model deployments and bug fixes, and monitor the health of our services and decisioning APIs day to day - Dig into anomalies yourself first, then pull in the director or senior scientists when a judgment call is needed Operating cadence - Run the core operating rhythm of the DS organisation: planning cycles, delivery reviews, team learning forums - Manage the change control process, including - make sure senior stakeholders (e.g. DS Director, Head of Credit Risk, CRO) explicitly approve material changes to decisioning models - monitor post-change impact vs. expectation by working with the team - Prepare crisp, decision-ready material for the DS Director, the CRO and exec team Cross-team execution - Manage dependencies across DS verticals, credit risk, engineering, product and compliance - Help run prioritisation so trade-offs across products are made deliberately, not by accident Organisation - Run the DS hiring engine end to end: pipeline tracking, interview quality, and onboarding that gets new joiners productive fast - Help scale the team's knowledge sharing, documentation and ways of working - Support the performance management process DS Director leverage - Reduce the Director's overhead on coordination, tracking and follow-up - Create space for focus on credit strategy, model innovation and the team - Be a thought partner on whatever matters most that month Who you are - 2-4 years in a quantitative, analytical or operational role - data science, analytics, management consulting, fintech, or similar - Ideally, someone who managed projects end-to-end, e.g. an engagement manager in a consulting firm - Genuinely curious about how lending and credit models work: you don't need to have built one, but you'll want to understand ours, and you're comfortable enough in SQL/Python to look at the data yourself - Demonstrably autonomous: you can point to things you started, built or fixed without being asked - Ruthlessly organised and a clear writer: you turn chaos into structure and never drop a thread - Low ego, high ownership: equally happy presenting to the exec team and fixing an interview scheduling mix-up You are curious but structured, ambitious but humble. You earn authority by being consistently right and useful, not by title. What we offer - Everyone owns a piece of the company - equity - Hybrid with 3 days a week in the office - 25 days' holiday a year, plus 8 bank holidays - 2 paid volunteering days per year - One month paid sabbatical after 4 years - Employee loan - Free gym membership - Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering", "summaryDescription" : "Data Science Chief Of Staff at Abound. Skills: Data Science, Credit Risk, Model Operations. Maintain trusted view of DS and Risk work. Chase blockers", "createdAt" : "2026-06-14T19:11:23.583", "lastUpdated" : "2026-06-15T21:52:24.593", "ingestTimestamp" : "2026-06-14T19:11:23.583", "mongoId" : "6a2c694874d8ee00a0906c38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality", "Model performance", "Credit risk modelling", "Data Science", "Credit Risk", "Model Operations", "Model monitoring", "Change control", "Hiring engine", "Performance management", "Roadmap tracking", "Prioritisation", "Consumer lending", "Decisioning models", "Pricing models", "Open Banking data" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e24c40e2acd1b99725", "title" : "Systems Development Engineer, Files, Edge, and Data Streams (FEDS)", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Operations, IT, Support Engineering, System Development Engineering, Cloud Computing", "salary" : { "min" : 129000.0, "max" : 174800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, Colorado, USA", "locations" : [ "Denver, Colorado, USA" ], "certifications" : [ "CSSLP" ], "timestamp" : "2026-06-15T05:18:03.193", "fingerprint" : "b0459d1a5d30b1175ac908fa144ff2cc27402932e8526909589a6d961ff4b630", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413726/apply", "externalId" : "d9899631-a1e1-4bf2-b807-3936a444d72e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "C++, C#, Java, Python, Golang, PowerShell, Ruby, AWS, Kinesis Data Streams, Flink, Kafka", "professionalSkills" : [ "Systems engineering", "Cloud computing", "Distributed systems troubleshooting", "Enterprise wide troubleshooting" ], "hardSkillsList" : [ "Operating systems", "Networking", "Cloud services" ], "hardSkills" : [ { "name" : "Operating systems", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Cloud services", "level" : "intermediate" } ], "majorSkills" : "Systems Development, Cloud Computing, Data Streams", "majorSkillsList" : [ "Systems Development", "Cloud Computing", "Data Streams" ], "coreResponsibilities" : "Troubleshoot complex system operations, Develop and build new features, Operate and engineer systems, Design and build operational scalability, Support engineering and operations, Manage and monitor systems health, Provisioning devices, Assist with data ingestion, Assist with device cleaning, Troubleshoot device issues, Troubleshoot network issues, Troubleshoot configuration issues, Identify engineering recommendations, Document engineering recommendations, Communicate engineering recommendations, Write after action reports, Provide on-call support", "teamCollaboration" : "Top engineers at Amazon; Team members", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Cloud computing technologies; Amazon Simple Queue; Notification Services; Kinesis Data Streams; AWS Managed Flink; AWS Managed Kafka; Distributed systems; Storage Services", "domainList" : [ "cloud-computing-technologies", "amazon-simple-queue", "notification-services", "kinesis-data-streams", "aws-managed-flink", "aws-managed-kafka", "distributed-systems", "storage-services" ], "domainSpecificKnowledge" : [ "Cloud computing technologies", "Amazon Simple Queue", "Notification Services", "Kinesis Data Streams", "AWS Managed Flink", "AWS Managed Kafka", "Distributed systems", "Storage Services" ], "communicationSkills" : "Communicate recommendations", "documentationSkills" : "Documenting recommendations; After action reports", "continuousLearning" : "Learn and be curious; Learning experiences", "innovationCreativity" : "Innovative cloud computing solutions; Radical new approaches", "problemSolvingSkills" : "Solve technical problems; Dive deep into technical issues; Root cause analysis", "specialRequirements" : "TS/SCI with polygraph clearance, On-call support", "outcomesObjectives" : "Improve customer experience; Visible impact on efficiency; Visible impact on effectiveness", "qualificationsBasic" : "Bachelor's degree or CSSLP, 2+ years software development, 1+ years system design/architecture, Knowledge of systems engineering fundamentals, Experience programming modern language, Active TS/SCI with Polygraph clearance", "qualificationsPreferred" : "Experience in Agile/Scrum, Experience with distributed systems, Experience with Linux/Unix", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 6, 2026 The Amazon Dedicated Cloud (ADC), AWS for Government, Storage Services team is hiring a cleared Systems Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers building and operating Amazon Simple Queue and Notification Services, Kinesis Data Streams (KDS), and AWS Managed Flink and Kafka, services instrumental to some of our customers’ most sensitive workflows. This is a great opportunity to have direct impact to some of the largest-scaled systems in the world and work with some of the smartest people in the industry, while having a huge impact. A successful Systems Development Engineer should be focused on troubleshooting complex system operations, not just on a server level but enterprise wide. Additionally, you will take part and be responsible for developing and building exciting new features for these services - further enabling our customers’ mission. You should also have a solid foundation in multiple operating systems, networking and general knowledge of cloud services. You will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. You will dive deep into technical issues and work diligently to improve the customer experience. This position requires that the candidate selected must currently possess and maintain an active TS/SCI with polygraph security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities Amazon has a fast-paced environment where we “Work Hard, Have Fun, Make History.” On a “typical” day engineers might deep dive to root cause a customer issue, investigate why a metric is trending the wrong way, consult with the top engineers at Amazon, or discuss radical new approaches to automate operational issues. You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. You'll become a master at distributed systems troubleshooting, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's insane growth. You will be able to measure your success by its visible impact on the efficiency and effectiveness of government services for our nation. A day in the life Every day is Day 1 at Amazon. On a typical day, our Amazon Dedicated Cloud Engineers (ADCE) will support AWS Storage and Data services engineering and operations by completing activities including but not limited to: - Region and feature builds - Manage and monitoring systems health and status - Provisioning devices, assisting with data ingestion, and device cleaning - Troubleshooting device, network, and/or configuration related issues - Identifying, documenting, and communicating engineering and operations recommendations to team members - Writing and disseminating after action reports capturing key events, actions taken, and future mitigation plans - Providing on-call support when necessary About the team 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. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. 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. 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. Mentorship and 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. Diverse Experiences Amazon 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. Basic Qualifications: - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 2+ years of non-internship professional software development experience - 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Experience working in an Agile environment using the Scrum methodology - Experience with distributed systems at scale - Experience with Linux/Unix 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, CO, Denver - 129,200.00 - 174,800.00 USD annually", "summaryDescription" : "Systems Development Engineer, Files, Edge, and Data Streams (FEDS) at Amazon Development Center U.S., Inc.. Skills: Systems Development, Cloud Computing, Data Streams. Troubleshoot complex system operations. Develop and build new features", "postedDate" : "2026-06-13T10:18:22.335", "createdAt" : "2026-06-13T10:18:22.335", "lastUpdated" : "2026-06-15T05:18:03.193", "ingestTimestamp" : "2026-06-13T10:18:22.335", "mongoId" : "69fda4e24c40e2acd1b99725", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413726/apply", "salaryAnnualMin" : 129000, "salaryAnnualMax" : 174800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Operating systems", "Networking", "Cloud services", "Systems Development", "Cloud Computing", "Data Streams", "Systems engineering", "Cloud computing", "Distributed systems troubleshooting", "Enterprise wide troubleshooting", "Agile", "Scrum", "Cloud computing technologies", "Amazon Simple Queue", "Notification Services", "Kinesis Data Streams", "AWS Managed Flink", "AWS Managed Kafka", "Distributed systems", "Storage Services", "CSSLP" ], "skillCount" : 21, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2c6af374d8ee00a090f628", "title" : "Data Quality Data Analyst", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Quality Data Analyst in Krakow, Poland, with adjustments for the consulting industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T00:55:31.423", "fingerprint" : "5c743ab6cde29550097dbad4c3616808091c0f263e1d975fe2d8a6eeb23d1234", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8002462", "externalId" : "8002462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakow", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0619474,19.9368564" }, { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Krakow, Poland; Warsaw, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data manipulation", "Root cause analysis" ], "hardSkillsList" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation" ], "hardSkills" : [ { "name" : "Data Quality", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data joining", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" } ], "majorSkills" : "Data Quality, Data analysis, SQL", "majorSkillsList" : [ "Data Quality", "Data analysis", "SQL" ], "coreResponsibilities" : "Support Data Quality initiatives, Analyze datasets, Understand datasets, Assess datasets, Identify data quality issues, Identify opportunities for improvement, Perform data extraction, Perform data transformation, Perform data joining, Perform data manipulation, Contribute to DRR decommissioning process, Ensure data integrity, Ensure data continuity, Collaborate with business stakeholders, Collaborate with data engineers, Collaborate with technology teams, Define data solutions, Implement data solutions, Conduct data validation, Conduct data reconciliation, Conduct root cause analysis, Document data flows, Document data quality controls, Document analytical findings", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with data engineers; Collaborate with technology teams", "domainKnowledge" : "Financial services; Banking; Credit; Credit domain", "domainList" : [ "financial-services", "banking", "credit", "credit-domain" ], "domainSpecificKnowledge" : [ "Financial services", "Banking", "Credit", "Credit domain" ], "toolProficiency" : [ "Jupyter Notebooks" ], "communicationSkills" : "Communicate technical findings", "documentationSkills" : "Document data flows; Document data quality controls; Document analytical findings", "problemSolvingSkills" : "Analytical capabilities; Problem-solving capabilities; Root cause analysis", "qualificationsBasic" : "Experience in Data Quality, Data analysis roles, Understand, join, transform, and manipulate datasets, Advanced SQL, Data querying skills, Python, Jupyter Notebooks, Analytical and problem-solving capabilities, Ability to communicate technical findings", "qualificationsPreferred" : "Experience with Prophecy, Data migration experience, Application decommissioning experience, System retirement projects experience, Knowledge of data governance, Data quality frameworks knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "Data Analyst – Data Quality (Financial services/Credit) Location: Krakow or Warsaw preferred Capco a Wipro Company Capco a Wipro Company is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent. Role Overview We are seeking an experienced Data Analyst with strong Data Quality (DQ) expertise to join us. The successful candidate will initially focus on data quality initiatives and will gradually transition into supporting the DRR decommissioning (demise) process. This role requires strong analytical skills, hands-on data manipulation experience, and the ability to work with complex datasets across multiple sources. Key Responsibilities Support Data Quality (DQ) initiatives within the Credit domain. Analyze, understand, and assess large and complex datasets to identify data quality issues and opportunities for improvement. Perform data extraction, transformation, joining, and manipulation activities to support business and regulatory requirements. Contribute to the DRR decommissioning process, ensuring data integrity and continuity throughout the transition. Collaborate with business stakeholders, data engineers, and technology teams to define and implement data solutions. Conduct data validation, reconciliation, and root cause analysis activities. Document data flows, data quality controls, and analytical findings. Required Skills & Experience Strong experience in Data Quality and data analysis roles. Proven ability to understand, join, transform, and manipulate datasets from multiple sources. Advanced SQL and data querying skills. Hands-on experience with Python, particularly using Jupyter Notebooks for data analysis and exploration. Strong analytical and problem-solving capabilities. Experience working within financial services, banking, or credit-related domains is highly desirable. Ability to communicate technical findings effectively to both technical and non-technical stakeholders. Preferred Skills Experience with Prophecy would be advantageous. Exposure to data migration, application decommissioning, or system retirement projects. Knowledge of data governance and data quality frameworks. Candidate Profile Strong Data Quality practitioner with a data-focused mindset. Comfortable working independently and managing complex analytical tasks. Detail-oriented with a strong focus on data accuracy and integrity. Proactive, collaborative, and adaptable in a changing project environment. We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: HR Interview Hiring Manager Technical Interview Client Interview Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-Hybrid", "summaryDescription" : "Data Quality Data Analyst at Capco. Skills: Data Quality, Data analysis, SQL. Support Data Quality initiatives. Analyze datasets", "postedDate" : "2026-06-14T20:08:06.986", "createdAt" : "2026-06-14T20:08:06.986", "lastUpdated" : "2026-06-16T00:55:31.423", "ingestTimestamp" : "2026-06-14T20:08:06.986", "mongoId" : "6a2c6af374d8ee00a090f628", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation", "SQL", "Root cause analysis", "Financial services", "Banking", "Credit", "Credit domain", "Jupyter Notebooks" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83cf", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:15:47.164", "fingerprint" : "a4e711ada7f64ef3ad7274a130224cc6b0c75f6bdae3559a6db9eb38ab7abea5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/350e50f6-ea4f-4898-92ce-497e253d5e61/application", "externalId" : "350e50f6-ea4f-4898-92ce-497e253d5e61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Data Platform, ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition" ], "hardSkillsList" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Experimentation velocity", "level" : "intermediate" }, { "name" : "Personalisation", "level" : "intermediate" }, { "name" : "Revenue impact", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Product decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, ML, AI, Product Management", "majorSkillsList" : [ "Data Platform", "ML", "AI", "Product Management" ], "coreResponsibilities" : "Own data platform reliability, Own data platform usability, Own data platform governance, Own data platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Help data and ML signals move to dependable, Create foundations for teams to ask better questions, Create foundations for teams to find answers faster, Create foundations for teams to consume analytics, Shape how AI and automation support data engineering, Strengthen how data is moved, Strengthen how data is transformed, Strengthen how data is maintained, Strengthen how data is served, Turn data quality into managed capability, Define interfaces between teams, Connect technical investment to outcomes", "teamCollaboration" : "Cross-functional teams; Product engineering; Analytics teams; Data science teams; Business teams", "projectManagementSkills" : [ "Roadmap", "Priorities" ], "domainKnowledge" : "Data Platform; Decision Tooling; Machine Learning; AI; Data Quality; Data Governance; Data Engineering; Travel Industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data Platform", "Decision Tooling", "Machine Learning", "AI", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "innovationCreativity" : "AI-native experiences", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, ML, AI, Product Management. Own data platform reliability. Own data platform usability", "createdAt" : "2026-06-13T21:49:02.566", "lastUpdated" : "2026-06-15T08:15:47.164", "ingestTimestamp" : "2026-06-13T21:49:02.566", "mongoId" : "6a2cafed74d8ee00a09d83cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions", "Leadership", "Data Platform", "ML", "AI", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition", "Roadmap", "Priorities", "Decision Tooling", "Machine Learning", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : "6a30564bf292fd229cf26f3a", "title" : "Data Engineering Manager for Accounts Payables Technology", "company" : "ADCI HYD 13 SEZ", "industry" : "Data Science, Data Engineering, finance", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Data Engineering Manager in Hyderabad, India, adjusted for manager seniority, FinTech industry, and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T07:32:16.692", "fingerprint" : "7a8e336967211612ea8c88b6e9f7f090eef9d4fcb863a396bf523094b65e6706", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448504/apply", "externalId" : "e7f19643-09b3-4b4d-bf7d-583d8ad67476", "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" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Redshift, Teradata, Netezza, Spark, Hadoop, Oracle, MySQL, MS SQL, ETL, ELT, Python, Java, Scala, NodeJS, Hive, EMR, AWS, S3, EC2, Lambda", "professionalSkills" : [ "Data architecture", "Operational excellence", "System resilience", "Strategic vision", "Intelligent automation", "Predictive anomaly detection", "AI-powered insights", "Performance management", "Engineering best practices", "Root cause analysis", "Schema evolution", "System migrations", "AI capabilities", "Auto-healing pipelines", "Natural language querying", "AI-driven monitoring", "Future-proofing platforms", "Psychologically safe model", "Delegation", "Building leaders", "Strategic narratives", "Simplification of delivery", "Removing defects" ], "hardSkillsList" : [ "Data pipeline management", "Data quality monitoring", "Data delivery", "Machine learning adoption", "Generative AI adoption", "Pipeline health monitoring", "Data completeness monitoring", "Data accuracy monitoring", "Operational toil reduction", "Dashboard reporting", "Report generation", "AI/ML technology adoption", "AI-driven insights generation", "Pipeline automation", "Anomaly detection", "Data platform future-proofing", "Team development", "Coaching", "Performance management", "Inclusive team modeling", "Strategic planning", "Problem triage", "Problem breakdown", "Execution planning", "Escalation management", "Work simplification", "Defect removal", "Failure mode avoidance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Data delivery", "level" : "intermediate" }, { "name" : "Machine learning adoption", "level" : "intermediate" }, { "name" : "Generative AI adoption", "level" : "intermediate" }, { "name" : "Pipeline health monitoring", "level" : "intermediate" }, { "name" : "Data completeness monitoring", "level" : "intermediate" }, { "name" : "Data accuracy monitoring", "level" : "intermediate" }, { "name" : "Operational toil reduction", "level" : "intermediate" }, { "name" : "Dashboard reporting", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "AI/ML technology adoption", "level" : "intermediate" }, { "name" : "AI-driven insights generation", "level" : "intermediate" }, { "name" : "Pipeline automation", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Data platform future-proofing", "level" : "intermediate" }, { "name" : "Team development", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Inclusive team modeling", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" }, { "name" : "Problem triage", "level" : "intermediate" }, { "name" : "Problem breakdown", "level" : "intermediate" }, { "name" : "Execution planning", "level" : "intermediate" }, { "name" : "Escalation management", "level" : "intermediate" }, { "name" : "Work simplification", "level" : "intermediate" }, { "name" : "Defect removal", "level" : "intermediate" }, { "name" : "Failure mode avoidance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Data Architecture, AI/ML, Team Leadership", "majorSkillsList" : [ "Data Engineering", "Data Architecture", "AI/ML", "Team Leadership" ], "coreResponsibilities" : "Own infrastructure and reliability of DataNet jobs, Pull data from AP transaction processing systems, Define and execute data architecture roadmap, Make architectural decisions aligned with AP Tech strategy, Establish SLAs for pipeline health, Establish monitoring mechanisms for pipeline health, Establish audit metrics for pipeline health, Establish SLAs for data completeness, Establish monitoring mechanisms for data completeness, Establish audit metrics for data completeness, Establish SLAs for data accuracy, Establish monitoring mechanisms for data accuracy, Establish audit metrics for data accuracy, Drive root cause analysis for pipeline failures, Build automation to reduce operational toil, Improve system resilience, Partner with AP teams to manage upstream data, Partner with AP teams to manage schema evolution, Partner with AP teams to manage system migrations, Work closely with Operations teams, Ensure dashboards meet daily needs, Ensure reports meet daily needs, Champion AI/ML adoption, Champion generative AI adoption, Enable intelligent pipeline automation, Enable predictive anomaly detection, Enable AI-powered data insights, Evaluate emerging AI capabilities, Implement emerging AI capabilities, Lead team of data engineers, Hire data engineers, Develop data engineers, Coach data engineers, Performance-manage data engineers, Foster psychologically safe team model, Foster inclusive team model, Delegate tasks to build leaders, Write strategic narratives, Participate in OP1/OP2, Own team's charter, Own team's vision, Own team's tenets, Tackle complex problems, Triage problems, Break down problems, Plan execution, Execute plans, Escalate effectively when necessary, Drive simplification of delivery, Reduce repeated work, Remove defects, Structure efforts to avoid failure modes", "teamCollaboration" : "Partner with AP teams; Work with Operations teams; Cross-functional partnership", "projectManagementSkills" : [ "Roadmap planning", "Execution planning" ], "domainKnowledge" : "Accounts Payable; DataNet jobs; AP transaction processing; Generative AI; AI/ML technologies", "domainList" : [ "accounts-payable", "datanet-jobs", "ap-transaction-processing", "generative-ai", "ai-ml-technologies" ], "domainSpecificKnowledge" : [ "Accounts Payable", "DataNet jobs", "AP transaction processing", "Generative AI", "AI/ML technologies" ], "toolProficiency" : [ "DataNet jobs" ], "communicationSkills" : "Communicate to senior management; Write narratives", "innovationCreativity" : "AI/ML adoption; Generative AI adoption; Emerging AI capabilities", "problemSolvingSkills" : "Root cause analysis; Problem triage; Problem breakdown; Troubleshooting", "outcomesObjectives" : "Ensure timely data delivery; Ensure accurate data delivery; Ensure reliable data delivery; Elevate data platform value; Improve system resilience; Reduce operational toil", "qualificationsBasic" : "2+ years processing data with massively parallel technology, 2+ years relational database technology experience, 2+ years developing and operating large-scale data structures for BI analytics, 5+ years data engineering experience, Experience managing a data or BI team, Experience communicating to senior management, Experience leading and influencing data or BI strategy", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools and Technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Engineering Manager to lead the team responsible for the infrastructure and reliability of all DataNet jobs that extract, transform, and deliver data from Accounts Payable transaction processing systems. These data pipelines power the dashboards and reports that Operations teams rely on for daily execution, decision-making, and compliance. You will independently own the end-to-end data architecture, drive operational excellence across pipeline health and data quality, and lead a team of data engineers through the full software lifecycle — from design and implementation to monitoring and maintenance. You will define the 3 years strategic vision for the data platform, work backwards from the needs of operations stakeholders, and build mechanisms that ensure timely, accurate, and reliable data delivery at scale. Critically, you will champion the adoption of AI and machine learning technologies — including generative AI — to transform how data pipelines are built, monitored, and consumed, driving intelligent automation, predictive anomaly detection, and AI-powered insights that elevate the value of the data platform beyond traditional reporting. As a people leader, you will hire, develop, and coach a high-performing team, establish engineering best practices, and partner cross-functionally with AP transaction processing teams and operations consumers to continuously improve the data products that drive daily business outcomes. Key job responsibilities - Own the end-to-end infrastructure and reliability of all DataNet jobs pulling data from AP transaction processing systems. - Define and execute the 3 years data architecture roadmap, making team-wide architectural decisions aligned with the broader AP Tech strategy. - Establish SLAs, monitoring mechanisms, and audit metrics for pipeline health, latency, data completeness, and accuracy. - Drive root cause analysis for pipeline failures and build automation to reduce operational toil and improve system resilience. - Partner with AP transaction processing teams to manage upstream data changes, schema evolution, and system migrations. - Work closely with Operations teams to ensure dashboards and reports meet their daily execution and decision-making needs. - Champion the adoption of AI/ML and generative AI technologies to enable intelligent pipeline automation, predictive anomaly detection, and AI-powered data insights. - Evaluate and implement emerging AI capabilities (e.g., auto-healing pipelines, natural language querying, AI-driven data quality monitoring) to future-proof the data platform. - Independently lead a team of data engineers — hire, develop, coach, and performance-manage across multiple levels (up to L5/L6). - Foster a psychologically safe, inclusive team environment; model Leadership Principles and delegate to build future leaders. - Write narratives and strategic documents; participate in OP1/OP2 planning; own the team's charter, vision, and tenets. - Tackle complex problems of up to 15-engineer scope — triage, break down, plan, and execute solutions; escalate effectively when necessary. - Drive simplification of delivery processes; reduce repeated work, remove defects, and structure efforts to avoid classic failure modes. Basic Qualifications: - 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience - 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - 5+ years of data engineering experience - Experience managing a data or BI team - Experience communicating to senior management and customers verbally and in writing - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) 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 Engineering Manager for Accounts Payables Technology at ADCI HYD 13 SEZ. Skills: Data Engineering, Data Architecture, AI/ML, Team Leadership. Own infrastructure and reliability of DataNet jobs. Pull data from AP transaction processing systems", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:46.092", "lastUpdated" : "2026-06-16T07:32:16.692", "ingestTimestamp" : "2026-06-15T21:59:46.092", "mongoId" : "6a30564bf292fd229cf26f3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448504/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline management", "Data quality monitoring", "Data delivery", "Machine learning adoption", "Generative AI adoption", "Pipeline health monitoring", "Data completeness monitoring", "Data accuracy monitoring", "Operational toil reduction", "Dashboard reporting", "Report generation", "AI/ML technology adoption", "AI-driven insights generation", "Pipeline automation", "Anomaly detection", "Data platform future-proofing", "Team development", "Coaching", "Performance management", "Inclusive team modeling", "Strategic planning", "Problem triage", "Problem breakdown", "Execution planning", "Escalation management", "Work simplification", "Defect removal", "Failure mode avoidance", "Leadership", "Data Engineering", "Data Architecture", "AI/ML", "Team Leadership", "Data architecture", "Operational excellence", "System resilience", "Strategic vision", "Intelligent automation", "Predictive anomaly detection", "AI-powered insights", "Engineering best practices", "Root cause analysis", "Schema evolution", "System migrations", "AI capabilities", "Auto-healing pipelines", "Natural language querying", "AI-driven monitoring", "Future-proofing platforms", "Psychologically safe model", "Delegation", "Building leaders", "Strategic narratives", "Simplification of delivery", "Removing defects", "Roadmap planning", "Accounts Payable", "DataNet jobs", "AP transaction processing", "Generative AI", "AI/ML technologies" ], "skillCount" : 61, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a191e7758b93c861e39f6ef", "title" : "Production Engineer – Production Systems & Data", "company" : "Mercedes-Benz Manufacturing Poland", "industry" : "Manufacturing", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Production Engineer in Jawor, Poland, adjusted for the manufacturing industry and company size." }, "location" : "Poland-Lower Silesia-Jawor", "locations" : [ "Poland-Lower Silesia-Jawor", "Gottlieba Daimlera 5, , Jawor" ], "timestamp" : "2026-06-15T14:03:58.305", "fingerprint" : "aebb38ac47ad9ea8b2ef90bdfa4e95c4bb91d1cf4db0bc5c96609c7a52d002fb", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898030", "externalId" : "898030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jawor", "state" : "Lower Silesia", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.0677021,16.1976136" } ], "locationText" : "Jawor, Lower Silesia, Poland", "minimumEducation" : "Bachelor's", "technicalSkills" : "IT systems", "professionalSkills" : [ "Process analysis", "System analysis", "Root cause analysis", "System thinking", "Business needs translation" ], "hardSkillsList" : [ "Manufacturing processes", "Production logic" ], "softSkillsList" : [ "Analytical mindset", "Teamwork", "Problem-solving" ], "hardSkills" : [ { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Production logic", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical mindset" }, { "name" : "Teamwork" }, { "name" : "Problem-solving" } ], "majorSkills" : "Production systems, Data analysis, Process improvement", "majorSkillsList" : [ "Production systems", "Data analysis", "Process improvement" ], "coreResponsibilities" : "Ensure stable operation of production systems, Develop production systems, Integrate production, processes, and IT, Analyze end-to-end production processes, Identify system and process issues, Implement system improvements, Enhance production efficiency, Enhance production quality, Enhance production reliability, Participate in system development projects, Monitor production system performance, Analyze production system data, Interpret data results, Align systems with operational needs, Perform root cause analysis, Support system change implementation, Validate system changes in production, Drive continuous improvement initiatives, Provide operational support for issues, Collaborate with IT stakeholders, Collaborate with Engineering stakeholders, Collaborate with Quality stakeholders", "teamCollaboration" : "Cross-functional collaboration; Project environment collaboration", "domainKnowledge" : "Manufacturing processes; Production logic; Lean Manufacturing", "domainList" : [ "manufacturing-processes", "production-logic", "lean-manufacturing" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Production logic", "Lean Manufacturing" ], "problemSolvingSkills" : "Root cause analysis; Problem-solving attitude", "qualificationsBasic" : "Bachelor’s degree in engineering, Experience in production environment, Basic understanding of IT systems, Experience in cross-functional collaboration, Experience in project environment, Very good knowledge of English", "qualificationsPreferred" : "Production automotive experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Production Engineer – Production Systems & Data you will be responsible for ensuring stable operation and further development of production systems by integrating production, processes and IT. Your role will be focus on end-to-end process analysis, system issue identification and implementation of improvements to enhance efficiency, quality and reliability of production processes. Key Responsibilities Participate in projects related to production system development and ramp-up of the production Monitor production systems performance and ensure stable system operation Analyze system data and interpret results to improve performance Analyze end-to-end production processes and align systems with operational needs Identify system and process issues and perform root cause analysis Support implementation of system changes and validate results in production Drive continuous improvement initiatives (Lean Manufacturing, efficiency improvements) Provide operational support in solving system-related production issues Collaborate with IT, Engineering and Quality stakeholders in the development of the systems Qualifications Bachelor’s degree in engineering (Manufacturing, Mechanical, Automation, IT or related field) Experience in a production environment (processes, production lines; automotive is a plus) Basic understanding of IT systems supporting production Experience in cross-functional collaboration and project environment Very good knowledge of English Knowledge & Skills Strong understanding of manufacturing processes and production logic Analytical mindset and experience in root cause analysis System thinking (end-to-end process understanding) Ability to translate business needs into IT/system requirements Structured and process-oriented working style Strong communication and teamwork skills Proactive, self-driven and problem-solving attitude Mercedes-Benz Manufacturing Poland sp. zo. o.", "summaryDescription" : "Production Engineer – Production Systems & Data at Mercedes-Benz Manufacturing Poland. Skills: Production systems, Data analysis, Process improvement. Ensure stable operation of production systems. Develop production systems", "createdAt" : "2026-06-14T07:05:59.058", "lastUpdated" : "2026-06-15T14:03:58.305", "ingestTimestamp" : "2026-06-14T07:05:59.058", "mongoId" : "6a191e7758b93c861e39f6ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Manufacturing processes", "Production logic", "Analytical mindset", "Teamwork", "Problem-solving", "Production systems", "Data analysis", "Process improvement", "Process analysis", "System analysis", "Root cause analysis", "System thinking", "Business needs translation", "Lean Manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055f8f292fd229cf23915", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T11:10:30.074", "fingerprint" : "3de3889dc8f3cbc8b3ebd51ed1b945bc3b570b2df4065e8762b67a0b1a1f9c4b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive presentations" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data analysis, Business intelligence, Data modeling, Data storytelling", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Data modeling", "Data storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain Looker dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain predictive models, Forecast business outcomes, Forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance metrics; Customer behavior analysis", "domainList" : [ "business-performance-metrics", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Business performance metrics", "Customer behavior analysis" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Growth opportunities; Leadership opportunities; Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Analytical rigor", "outcomesObjectives" : "Drive business forward; Make smarter decisions; Make faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data analysis, Business intelligence, Data modeling, Data storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T23:44:59.011", "lastUpdated" : "2026-06-16T11:10:30.074", "ingestTimestamp" : "2026-06-15T23:44:59.011", "mongoId" : "6a3055f8f292fd229cf23915", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data analysis", "Business intelligence", "Data storytelling", "Executive presentations", "Manage multiple priorities", "Business performance metrics", "Customer behavior analysis", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30503ff292fd229ceedf3c", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T05:40:25.996", "fingerprint" : "a1ad4d9a00366e1c7ae464d9c051fb28202e96a0de31f1b6f660b3f58f51c488", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data & Analytics, Business Intelligence, Data Modeling, Storytelling", "majorSkillsList" : [ "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Support scalable, efficient analysis, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain models that forecast business outcomes, Develop and maintain models that forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance measurement", "domainList" : [ "business-performance-measurement" ], "domainSpecificKnowledge" : [ "Business performance measurement" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Ambiguous questions", "outcomesObjectives" : "Drive business forward; Make smarter, faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data & Analytics, Business Intelligence, Data Modeling, Storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T21:41:34.690", "lastUpdated" : "2026-06-16T05:40:25.996", "ingestTimestamp" : "2026-06-15T21:41:34.690", "mongoId" : "6a30503ff292fd229ceedf3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling", "Manage multiple priorities", "Business performance measurement", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a612774d8ee00a06213af", "title" : "Subject Matter Expert - Data Management", "company" : "VAD Company", "industry" : "Healthcare", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Data Management Subject Matter Expert in the Healthcare industry in the Philippines, adjusted for junior seniority and full-time onsite work." }, "location" : "Philippines", "locations" : [ "Philippines" ], "timestamp" : "2026-06-12T20:40:50.390", "fingerprint" : "e32833fe7c5b1831d2e6a2bc697a2e7d051781b3723db929191c26b99566e937", "source" : "workday", "language" : "en", "applyUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Philippines---Taguig-City/Subject-Matter-Expert---Data-Management-VAD_31151083", "externalId" : "31151083", "industryFunction" : { }, "locationPoint" : "12.8797,121.774", "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "minimumEducation" : "College Diploma", "experienceMinYears" : 1, "experienceMaxYears" : 2, "professionalSkills" : [ "Data Management" ], "hardSkillsList" : [ "Medical Terminology", "Data Management processes" ], "softSkillsList" : [ "Leadership", "Adaptability", "Initiative", "Flexibility" ], "hardSkills" : [ { "name" : "Medical Terminology", "level" : "intermediate" }, { "name" : "Data Management processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Adaptability" }, { "name" : "Initiative" }, { "name" : "Flexibility" } ], "majorSkills" : "Data Management, Customer Orientation", "majorSkillsList" : [ "Data Management", "Customer Orientation" ], "coreResponsibilities" : "Understand best practices for Data Management, Communicate best practices for Data Management, Implement best practices for Data Management, Discuss error trends, Correct errors, Provide aid on process-related challenges, Coordinate with Supervisor for Action Planning, Pro-actively work with Supervisor for Action Planning, Deliver coaching to employees, Deliver feedback to employees, Read medical documents, Analyze medical documents, Adapt to different tools and systems, Work with different tools and systems, Observe legal and ethical guidelines, Safeguard patient confidentiality, Safeguard company confidentiality, Complete assigned work, Deal with frequent changes, Meet individual goals, Meet departmental goals, Meet company goals", "teamCollaboration" : "Fostering Teamwork; Interpersonal Skills", "domainKnowledge" : "HIPAA", "domainList" : [ "hipaa" ], "domainSpecificKnowledge" : [ "HIPAA" ], "communicationSkills" : "Attention to Communication", "problemSolvingSkills" : "Problem Solving; Analytical Thinking", "specialRequirements" : "Continuous sitting", "outcomesObjectives" : "Meet individual goals; Meet departmental goals; Meet company goals", "qualificationsBasic" : "1-2 years of experience in healthcare accounts, People and Engagement skills, Knowledge in Medical Terminology, Very good interpersonal and communication skills, Above-average problem solving, decision-making and analytical skills, Ability to work independently and stay on task, Expert in Data Management processes, Ability to work under stressful conditions, College Diploma", "qualificationsPreferred" : "Background for Data Management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## **JOB DESCRIPTION:** **Key Areas of Accountability:** 1\\. Understands, communicate and implements best practices that are related to all Data Management processes including but not limited to process updates, error trends discussion, error correction and etcetera. 2\\. Well-knowledgeable in all Data Management Tasks. 3\\. Responsible in providing aid on how to resolve a particular process-related challenges 4\\. Coordinates and pro-actively work with Supervisor for Action Planning on how to further improve over-all Team’s Quality. 5\\. Regularly delivers coaching and feedback to employees who are struggling in Quality metric. 6\\. Has the ability to read and analyze different medical documents (ex., Prescription, Patient Information Form). 7\\. Ability to adapt to and work with the different tools and systems used to carry out duties and responsibilities 8\\. Observes legal and ethical guidelines for safeguarding patient and company confidentiality (HIPPA). 9\\. Completes assigned work in a timely and efficient manner. 10\\. Adapts to and demonstrates the ability to deal with frequent changes in the work environment. 11\\. Meets individual, departmental, and company goals. 12\\. Other Subject Matter Expert duties as assigned. **Competencies required:** • Fostering Teamwork • Commitment to Job Deliverables • Decision making • Attention to Details • Attention to Communication • Customer Orientation • Analytical Thinking • Leadership • Trustworthiness and Ethics • Problem Solving • Technical Expertise • Managing Change • Managing Performance • Adaptability • Initiative • Interpersonal Skills • Thoroughness • Self Confidence • Stress Management • Personal Credibility • Flexibility **Minimum Qualification:** • Minimum of 1-2 years of experience in healthcare accounts (preferably with strong background for Data Management) • Has a strong People and Engagement skills • Knowledge in Medical Terminology • Very good interpersonal and communication skills • Above-average problem solving, decision-making and analytical skills • Ability to work independently and stay on task • Expert in Data Management processes • Ability to work under stressful conditions • College Diploma **The base pay for this position is** N/A In specific locations, the pay range may vary from the range posted. ## **JOB FAMILY:** Customer Service ## **DIVISION:** HF Heart Failure ## **LOCATION:** Philippines > Taguig City : Five/Neo Building ## **ADDITIONAL LOCATIONS:** ## **WORK SHIFT:** Standard ## **TRAVEL:** Not specified ## **MEDICAL SURVEILLANCE:** Not Applicable ## **SIGNIFICANT WORK ACTIVITIES:** Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)", "summaryDescription" : "Subject Matter Expert - Data Management at VAD Company. Skills: Data Management, Customer Orientation. Understand best practices for Data Management. Communicate best practices for Data Management", "postedDate" : "2026-06-11T14:31:07.386", "createdAt" : "2026-06-11T14:31:07.372", "lastUpdated" : "2026-06-12T20:40:50.390", "ingestTimestamp" : "2026-06-11T14:31:07.372", "mongoId" : "6a2a612774d8ee00a06213af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Philippines---Taguig-City/Subject-Matter-Expert---Data-Management-VAD_31151083", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Medical Terminology", "Data Management processes", "Leadership", "Adaptability", "Initiative", "Flexibility", "Data Management", "Customer Orientation", "HIPAA" ], "skillCount" : 9, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a305e6cf292fd229cf70714", "title" : "Data Manager for Clinical Trials", "company" : "PSI CRO", "industry" : "Pharmaceuticals", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Manager in the Biotech industry in Mississauga, Canada, adjusted for full-time employment." }, "location" : "Mississauga, ON, Canada", "locations" : [ "Mississauga", "ON", "Canada" ], "timestamp" : "2026-06-16T10:38:08.200", "fingerprint" : "6402554b421574d37787eca96b7e77665f5c5fc06e87a9482913b5db02c8b408", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PSICRO/744000131986259-data-manager-for-clinical-trials", "externalId" : "744000131986259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mississauga", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.5884727,-79.6436580" } ], "locationText" : "Mississauga, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "College or University degree", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Clinical data management", "Data reconciliation", "Medical coding", "Query management", "Database lock" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "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" } ], "majorSkills" : "Data management, Clinical trials, Data quality, Database administration", "majorSkillsList" : [ "Data management", "Clinical trials", "Data quality", "Database administration" ], "coreResponsibilities" : "Act as communication line for project teams, Maintain TMF/eTMF, Train Assistant Data Manager, Support study documentation development, Perform user acceptance testing, Manage user access, Review data, Reconcile eCRF/External data, Perform medical coding, Support SAE reconciliation, Manage queries, Enter and QC local lab normal ranges, Perform Study Database Lock activities, QC archival of CRFs, Perform data entry/QC, Report project status, Generate and deliver data listings/Patient profiles, Assist with Database Lock tasks", "teamCollaboration" : "Project teams", "projectManagementSkills" : [ "Project status reporting" ], "domainKnowledge" : "Clinical data management; Medical science; Life science", "domainList" : [ "clinical-data-management", "medical-science", "life-science" ], "domainSpecificKnowledge" : [ "Clinical data management", "Medical science", "Life science" ], "toolProficiency" : [ "TMF", "ETMF" ], "communicationSkills" : "Communication line", "documentationSkills" : "Study documentation; CRF Completion Guidelines; Data Management Plan; Edit Checks Specification; User Access Management Plan; Data Validation Plan; External Data Transfer Agreements; SAE Reconciliation Guidelines; Local Lab Normal Ranges Guidelines; Coding Guidelines", "problemSolvingSkills" : "Query management", "qualificationsBasic" : "College or University degree, Minimum of one year of industry experience, Experience working with clinical or medical data", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are the company that cares – for our staff, for our clients, for our partners and for the quality of the work we do. A dynamic, global company founded in 1995, we bring together more than 3,200 driven, dedicated and passionate individuals. We work on the front line of medical science, changing lives, and bringing new medicines to those who need them. 1. Acts as a communication line for project teams regarding clinical data management 2. Maintains TMF/eTMF 3. Trains Assistant Data Manager 4. Is involved in clinical data management activities including, but not limited to: * Supporting development of study documentation (eCRF Requirements, Edit Checks Specification, Data Management Plan, CRF Completion Guidelines, User Access Management Plan, Data Validation Plan, External Data Transfer Agreements, SAE Reconciliation Guidelines, Local Lab Normal Ranges Guidelines, Coding Guidelines where applicable) * User acceptance testing * User access management * Data review * eCRF/External data reconciliation * Medical coding (for staff with medical/Life Science background) * Supporting SAE reconciliation * Query management * Local lab normal ranges entry and QC * Study Database Lock activities * Archival of CRFs QC * Data entry/QC * Project status reporting * Data listings/Patient profiles generation and delivery * Assisting with Database Lock tasks as needed for assigned projects ## Qualifications * College or University degree or equivalent combination of training and experience that presents the required knowledge, skills, and abilities * A minimum of one year of industry experience, preferably working with clinical or medical data", "summaryDescription" : "Data Manager for Clinical Trials at PSI CRO. Skills: Data management, Clinical trials, Data quality, Database administration. Act as communication line for project teams. Maintain TMF/eTMF", "postedDate" : "2026-06-12T20:35:30.000", "createdAt" : "2026-06-16T00:25:49.908", "lastUpdated" : "2026-06-16T10:38:08.200", "ingestTimestamp" : "2026-06-16T00:25:49.908", "mongoId" : "6a305e6cf292fd229cf70714", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data management", "Clinical trials", "Data quality", "Database administration", "Clinical data management", "Data reconciliation", "Medical coding", "Query management", "Database lock", "Project status reporting", "Medical science", "Life science", "TMF", "ETMF" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d3f1074d8ee00a0b347f0", "title" : "Data Manager for Clinical Trials", "company" : "PSI CRO", "industry" : "Pharmaceuticals", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Manager in Mississauga, Canada, adjusted for the Biotech industry and full-time employment." }, "location" : "Mississauga, ON, Canada", "locations" : [ "Mississauga", "ON", "Canada" ], "timestamp" : "2026-06-16T06:35:51.865", "fingerprint" : "cfd7cbd62c3d5a4fc465804d775363e78d15585f2522790f8f1a3777acb0cd35", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PSICRO/744000131986259-data-manager-for-clinical-trials", "externalId" : "744000131986259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mississauga", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.5884727,-79.6436580" } ], "locationText" : "Mississauga, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "College or University degree", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Clinical data management", "Medical coding" ], "hardSkillsList" : [ "Data management", "Data reconciliation", "Query management", "Data entry", "Data listings", "Patient profiles generation" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Query management", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Data listings", "level" : "intermediate" }, { "name" : "Patient profiles generation", "level" : "intermediate" } ], "majorSkills" : "Clinical data management, Data reconciliation, Query management", "majorSkillsList" : [ "Clinical data management", "Data reconciliation", "Query management" ], "coreResponsibilities" : "Act as communication line for project teams, Maintain TMF/eTMF, Train Assistant Data Manager, Support development of study documentation, Manage user access, Review data, Reconcile eCRF/External data, Support SAE reconciliation, Manage queries, Enter and QC local lab normal ranges, Perform Study Database Lock activities, QC archival of CRFs, Perform data entry/QC, Report project status, Generate and deliver data listings/Patient profiles, Assist with Database Lock tasks", "teamCollaboration" : "Project teams", "domainKnowledge" : "Clinical data management; Medical science; Life Science", "domainList" : [ "clinical-data-management", "medical-science", "life-science" ], "domainSpecificKnowledge" : [ "Clinical data management", "Medical science", "Life Science" ], "toolProficiency" : [ "ECRF", "TMF", "ETMF" ], "communicationSkills" : "Communication line", "documentationSkills" : "Study documentation; CRF Completion Guidelines; Data Management Plan; Edit Checks Specification; User Access Management Plan; Data Validation Plan; External Data Transfer Agreements; SAE Reconciliation Guidelines; Local Lab Normal Ranges Guidelines; Coding Guidelines", "qualificationsBasic" : "College or University degree, Minimum of one year of industry experience, Experience working with clinical or medical data", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are the company that cares – for our staff, for our clients, for our partners and for the quality of the work we do. A dynamic, global company founded in 1995, we bring together more than 3,200 driven, dedicated and passionate individuals. We work on the front line of medical science, changing lives, and bringing new medicines to those who need them. 1. Acts as a communication line for project teams regarding clinical data management 2. Maintains TMF/eTMF 3. Trains Assistant Data Manager 4. Is involved in clinical data management activities including, but not limited to: * Supporting development of study documentation (eCRF Requirements, Edit Checks Specification, Data Management Plan, CRF Completion Guidelines, User Access Management Plan, Data Validation Plan, External Data Transfer Agreements, SAE Reconciliation Guidelines, Local Lab Normal Ranges Guidelines, Coding Guidelines where applicable) * User acceptance testing * User access management * Data review * eCRF/External data reconciliation * Medical coding (for staff with medical/Life Science background) * Supporting SAE reconciliation * Query management * Local lab normal ranges entry and QC * Study Database Lock activities * Archival of CRFs QC * Data entry/QC * Project status reporting * Data listings/Patient profiles generation and delivery * Assisting with Database Lock tasks as needed for assigned projects ## Qualifications * College or University degree or equivalent combination of training and experience that presents the required knowledge, skills, and abilities * A minimum of one year of industry experience, preferably working with clinical or medical data", "summaryDescription" : "Data Manager for Clinical Trials at PSI CRO. Skills: Clinical data management, Data reconciliation, Query management. Act as communication line for project teams. Maintain TMF/eTMF", "postedDate" : "2026-06-12T20:35:30.000", "createdAt" : "2026-06-14T20:28:47.999", "lastUpdated" : "2026-06-16T06:35:51.865", "ingestTimestamp" : "2026-06-14T20:28:47.999", "mongoId" : "6a2d3f1074d8ee00a0b347f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data management", "Data reconciliation", "Query management", "Data entry", "Data listings", "Patient profiles generation", "Clinical data management", "Medical coding", "Medical science", "Life Science", "ECRF", "TMF", "ETMF" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca53574d8ee00a09b52c1", "title" : "Data Engineer, Data Programme", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 96000.0, "max" : 144000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Singapore, adjusted for the government industry and contract employment type." }, "location" : "Data Programme", "locations" : [ "Data Programme" ], "timestamp" : "2026-06-16T06:16:46.663", "fingerprint" : "38e197a85c7ef59dbaa339c3fa2f606cef5d4f9df237e75700e97621ccabba86", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4003953201?gh_jid=4003953201", "externalId" : "4003953201", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime; Construct, test, and update useful and reusable data models based on data needs of end users. Design and build secure mechanisms for end users and systems to access data in data warehouse. Research, propose and develop new technologies and processes to improve agency data infrastructure. Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. Maintain data catalogue to document data assets, metadata and lineage. Implement data quality checks and validation processes to ensure data accuracy and consistency. Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data. Learn and share knowledge in a multi-disciplinary team. Additionally, more senior engineers will be expected to: Establish best practices Share your expertise and mentor other engineers Help with recruiting. You are not just here to write code, but also to figure out what we should be building and how we should build it. Your job will be to bring expertise and capability to the public sector. Sometimes this means coding new systems from scratch. Other times this means using the best solutions the community has to offer. We use cloud services, open source software, and commodity hardware as far as possible. Knowing what to build and what to reuse lets us avoid wasting time on solved problems and focus on delivering actual value. [What it is like working here] We build products that serve a variety of agency users, who use them to solve highly meaningful problems pertinent to our society, from transportation, to education, to healthcare. The public sector is full of opportunities where even the simplest software can have a big impact on people’s lives. We are here to improve how we live as a society through what we can offer as a government. Rapid Prototyping - Instead of spending too much time debating ideas we prefer testing them. This identifies potential problems quickly, and more importantly, conveys what is possible to others easily. Reliable Productization - To scale an idea, a prototype or a Minimum Viable Product to a software product, we scrutinize and commit to its usability, reliability, scalability and maintainability. Ownership - In addition to technical responsibilities, this means having ideas on how things should be done and taking responsibility for seeing them through. Building something that you believe in is the best way to build something good. Continuous Learning - Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential. We work mostly in Python, JavaScript and Scala. We are looking for proficiency in at least one language and the ability to learn. Strong passion in software engineering is what matters to us. 3+ years full stack software engineering experience in building scalable products Experience with ETL and implementing efficient data pipelines Exposure to cloud or on-prem production environment, and experience in deployment Understanding of devops, CI/CD Have a demonstrated ability in writing efficient code and building software Can write code to solve abstract problems and think critically on how to get the code correct and cover the edge cases Can talk and reason about code with other engineers Have an interest in data science and machine learning Take the initiative to make things happen Want to work for the public good What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.  Please note that this will be a 2-year fixed term contract. Learn more about life inside GovTech at go.gov.sg/GovTechCareers. Stay connected with us on social media at go.gov.sg/ConnectWithGovTech", "summaryDescription" : "Data Engineer, Data Programme at GovTech", "postedDate" : "2026-06-14T21:00:53.401", "createdAt" : "2026-06-14T21:00:53.401", "lastUpdated" : "2026-06-16T06:16:46.663", "ingestTimestamp" : "2026-06-14T21:00:53.401", "mongoId" : "6a2ca53574d8ee00a09b52c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe81", "title" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Science, Cloud Computing", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T06:03:22.811", "fingerprint" : "2de507a2af9713958cf19fc7bc76811d52243f83d9bf8296e6df9008d561a0ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051327/apply", "externalId" : "17bd976f-c327-4f8f-82fd-e01156aa798f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI algorithms, Generative AI, Machine Learning, Large Language Models, Python, Tensorflow, Keras, PyTorch, MXNet, AWS, SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, JAX", "professionalSkills" : [ "Business acumen", "Data science", "AI methods" ], "hardSkillsList" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Data Science", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Data Science" ], "coreResponsibilities" : "Research AI algorithms, Design AI algorithms, Develop AI algorithms, Evaluate AI algorithms, Interact with customers, Understand business problem, Aid customers in implementation of AI solutions, Deliver briefing sessions to customers, Deliver deep dive sessions to customers, Guide customer on adoption patterns, Guide customer on paths to production, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models; US Intelligence Community", "domainList" : [ "generative-ai", "large-language-models", "us-intelligence-community" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "US Intelligence Community" ], "toolProficiency" : [ "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "communicationSkills" : "Customer briefings; Deep dive sessions; Executive stakeholder presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code; Presentations", "innovationCreativity" : "Drive feature innovation", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "TS/SCI with Polygraph, Up to 25% local travel", "qualificationsBasic" : "Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience, 5+ years of experience building models for business applications, Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, Experience using Python, Hands on experience building models with deep learning frameworks (i. e. Tensorflow, Keras, PyTorch, MXNet), Current, active US Government Security Clearance of TS/SCI with Polygraph", "qualificationsPreferred" : "Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, AWS experience preferred, Practical experience in solving complex problems in an applied environment, Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX, Experience building applications leveraging GenAI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI. This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities As an Data Scientist, you will: - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction - This position may require up to 25% local travel. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 and 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience building models for business applications - Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow, Keras, PyTorch, MXNet) - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch) - Practical experience in solving complex problems in an applied environment - Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX - Experience building applications leveraging GenAI 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Data Science. Research AI algorithms. Design AI algorithms", "postedDate" : "2026-06-13T12:13:39.251", "createdAt" : "2026-06-13T12:13:39.251", "lastUpdated" : "2026-06-15T06:03:22.811", "ingestTimestamp" : "2026-06-13T12:13:39.251", "mongoId" : "68b706997fc9a711f0f6fe81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051327/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning", "Generative AI", "Machine Learning", "Data Science", "Business acumen", "Data science", "AI methods", "Large Language Models", "US Intelligence Community", "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "collation of all data from various systems and file locations for data subject access requests jobs", "metadata" : { "title" : "collation of all data from various systems and file locations for data subject access requests" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 65928, "totalPages" : 1319, "hasNext" : true, "hasPrevious" : false } }

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