{ "count" : 65462, "data" : [ { "id" : "6a307fb3f292fd229c05c989", "title" : "RFP - Workforce Capability Development and Platform Solution", "company" : "Imagine Worldwide", "industry" : "Education", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the mid-seniority level for a Workforce Capability Development and Platform Solution role in the Education industry, with adjustments for company size and location within India." }, "location" : "IW - Global", "locations" : [ "IW - Global" ], "certifications" : [ "Automatic certification" ], "timestamp" : "2026-06-16T09:28:45.668", "fingerprint" : "575d1cf5bf93edcfc6a15bddacbb927363f0a9926834b97789ac249d6d59d72b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/imagineworldwide/jobs/4286664009", "externalId" : "4286664009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "iwo", "state" : "osun state", "country" : "Nigeria", "continent" : "africa", "source" : "locations-index", "geo" : "7.63527,4.18156" } ], "locationText" : "IW - Global", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Capability building", "Operational excellence", "Performance capacity", "Role development", "Content creation", "Microlearning delivery", "Evidence-based model", "Continuous improvement", "Data analysis", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "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" } ], "majorSkills" : "Workforce capability, Platform solution, Learning ecosystem, Competency-based model", "majorSkillsList" : [ "Workforce capability", "Platform solution", "Learning ecosystem", "Competency-based model" ], "coreResponsibilities" : "Design learning paths, Build learning paths, Deliver learning paths, Create content, Deliver microlearning, Host platform, Drive operational excellence, Strengthen performance, Strengthen capacity, Provide role-specific training, Deliver mandatory training, Map skills to standards, Enable staff performance, Support organization growth, Deliver concise modules, Track mandatory training, Provide compliance reporting, Design tailored paths, Develop role-specific training, Deliver organization-wide training, Deliver ongoing development, Master skill sets, Ensure platform reliability, Perform under low-bandwidth", "teamCollaboration" : "Global team", "projectManagementSkills" : [ "RFP process" ], "domainKnowledge" : "Literacy skills; 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Live demonstration", "documentationSkills" : "Compliance reporting", "continuousLearning" : "Ongoing professional development", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "African-based vendor", "outcomesObjectives" : "Empower children; Reach full potential; Become literate; Become numerate; Deliver foundational skills; Improve outcomes; Scale toward goal; Deliver measurable gains; Strengthen core competencies; Adapt to new responsibilities; Deliver at optimal level; Drive operational excellence; Strengthen performance; Strengthen capacity; Perform at world-class level; Support organization growth; Master skill sets; Ensure operational reliability", "qualificationsBasic" : "90-person global team, African-based vendor", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "rawDescription" : "PLEASE NOTE: This is an RFP, not a job application. Proposals submitted through Greenhouse will not be reviewed. All submissions must be emailed to rfp.global@imagineworldwide.org. Who We Are Imagine Worldwide is a nonprofit organization on a mission to empower millions of children with the literacy and numeracy skills they need to reach their full potential. Imagine exists to demonstrate that children with personalized technology in their hands can become literate and numerate with little or no adult instruction. We are partnering with organizations across the globe to pilot promising autonomous learning solutions, building an evidence base on what works, why, and under what conditions, and using data to drive continuous improvement of content, approach, and implementation. We believe child-directed, tech-enabled learning can deliver foundational literacy and numeracy skills to hundreds of millions of children, increasing their educational opportunities and improving their health, wealth, and social outcomes. In our programs, learners use custom tablets and headsets that rotate among as many as eight children per day. Children drive their own learning at their own pace, using software developed by our partners onebillion, which provides a complete, research-based curriculum and pedagogy. The software can be adapted to each child’s cultural and linguistic context, enabling deployments in multiple countries, languages, and contexts — in-school, out-of-school, and refugee camps. Our evidence-based model, rigorously proven across nine randomized controlled trials (RCTs), currently operates in seven Sub-Saharan African countries, delivering measurable learning gains in some of the world’s most challenging environments. As we scale toward our goal of universal literacy, including massive initiatives like the BEFIT program serving 3.8 million children in Malawi, our internal operations must keep pace. To achieve this, we require a workforce development partner who can meet the same standard of precision and effectiveness we apply to our student-facing programs. Purpose of this RFP Imagine Worldwide seeks a comprehensive learning solution that supports organization-wide capability building across onboarding, mandatory policy training, operational processes, role development, and ongoing professional development for our 90-person global team. We invest significantly in recruiting and placing the right people in the right roles. That investment requires an equal commitment in how we onboard, train, develop, and equip our staff to strengthen core competencies, adapt to new responsibilities, and deliver at their optimal level throughout their tenure. To deliver on that commitment, we are issuing this Request for Proposals to identify a qualified African-based vendor to design, build, and deliver a competency-based learning ecosystem, including content creation, microlearning delivery, and a hosted platform. The solution must be grounded in evidence of its ability to drive operational excellence and strengthen the performance and capacity of our global team. We are looking for a partner who can provide role-specific learning paths, organization-wide mandatory training (e.g., Child Protection Policy, SWAP Process), and ongoing professional development, all delivered through a hosted learning platform and benchmarked against internationally recognized standards and frameworks. Where international competency standards exist, all skills-based training must be mapped against them, including but not limited to ISO 10015:2019, and vendors must clearly indicate which standard applies to each skill domain. Our standard is that every staff member is enabled to perform at a world-class level through relevant learning experiences, grounded in evidence, and aligned with recognized standards of competence. We invite qualified vendors to demonstrate their ability to meet this expectation and deliver a solution that can support our organization as it grows in scale and complexity. Core Objectives Our primary goal is to adopt a Competency-Based Workforce Model. We require a solution that delivers on four core objectives: Organization-Wide Mandatory Training: Concise, trackable modules for all staff on critical policies and processes, including HR and Child Protection Policies, SWAP Process, Deviations Management, Risk Management, Program Metrics, and Internal/External Reporting. Each module must carry automatic certification and full compliance reporting. Tailored Role-Specific Training: Learning paths designed specifically for the technical requirements of each role within Imagine Worldwide. This includes everything from Field Implementation and Government Liaison work to Data Analytics and Program Management. Ongoing, Measured Professional Development: Learning must be a continuous journey. We require a roadmap that includes micro-credentials and formal certification benchmarked against international standards to track and reward the growth of our staff over time. Exceptional and Culturally Relevant Onboarding: A rapid-deployment system that integrates new hires into our mission, culture, and operational philosophy. Scope of Work To ensure operational alignment and minimize deployment risk, this project will be executed in two distinct, iterative phases: Phase 1: Proof of Concept (PoC) – The SWAP Process: The vendor will design, package, and deliver a microlearning intervention focused exclusively on our priority capability: The SWAP Process. This initial phase will serve to test and validate the content framework, user engagement, and knowledge mastery mechanisms across global and country teams before full-scale deployment. Phase 2: Organization-Wide Strategic Scaling: Upon successful verification and completion of the PoC, the vendor will systematically scale the methodology to analyze, audit, and build out learning paths for all remaining organizational capabilities (estimated at approximately 20 core areas). The proposal must provide a comprehensive solution across these four specific components: Component I: Content Development using a Skill-Based Framework We seek a partner who can: Conduct a Skills and Capability Audit: Assess the current operational maturity and map existing capability gaps across all departments and functions. This baseline evaluation must explicitly pinpoint critical execution risks by role to guide content prioritization. Identify International Skill Standards: Map our internal roles against international competency frameworks to ensure our staff are performing and delivering at a world-class level. Develop Skill Taxonomies: Build a skills framework for each role that can be updated as our programs and field operations evolve. Ensure Practical Application: 100% of the content is tied to \"on-the-job\" performance, focusing on what staff need to do and what they need to know. Establish Competency Benchmarking and Proficiency Thresholds: Propose how they would define role-specific proficiency thresholds and competency benchmarks appropriate to Imagine Worldwide’s operating context. Deliver a Robust Existing Content Library: Bring a proven, field-tested content library that can be adapted to our roles, context, and standards. Please clearly describe what existing content you would draw from and how it would be tailored to Imagine Worldwide, and what, if anything, would need to be built from scratch. Enable Content Ownership and Internal Adaptability: Our programs evolve constantly, and our training must keep pace. We require a solution that allows Imagine Worldwide staff to independently create, update, and publish content without returning to the vendor for every revision. Vendors must describe what internal content and LMS management capabilities are included, and what training they will provide to ensure our team can manage the platform fully and independently. Component II: Packaging into Microlearning Materials We hold engagement to the highest standard. How content is packaged and delivered matters as much as the learning material. Content must be delivered in high-impact, short-form formats, including: Micro-Videos: Professional, 3–5 minute videos that simplify complex tasks. Active Assessments: Question-based checks that require the learner to demonstrate mastery before they can move to the next level. Low-Bandwidth Optimization: All materials must be designed to perform reliably in low-bandwidth environments, as internet connectivity across Sub-Saharan Africa remains inconsistent. Mobile Adaptability: All materials must render cleanly across screen sizes to accommodate the full range of how and where our team accesses content. Component III: The Learning Tool Platform We are seeking a learning management platform that serves as a central home for our learning ecosystem for all staff learning and development. It must feature: Extreme User-Friendliness: The platform must demonstrate a high degree of usability, requiring minimal onboarding for end users. Guided Learning Paths: The platform must assign and recommend content based on a staff member's role, progress, and assessment results, ensuring each person follows a learning journey that reflects where they are. Analytics SSO (Single Sign-On) capability is preferred. Content Standards: The platform must support SCORM and xAPI content standards to ensure compatibility with third-party content and portability of learning data. Data Security: Vendors must describe their data security protocols, including where staff data is hosted, encryption standards, and access controls. Data Ownership: Imagine Worldwide must retain full ownership of all staff learning data and any custom content developed or adapted under this contract. Data Consumption/Bandwidth: Given that staff operate in low-bandwidth environments, the platform must minimize data consumption and support offline or low-data modes. Platform Certifications: Vendors must disclose relevant platform certifications, including but not limited to SOC 2 Type II, ISO 27001, or equivalent data security and privacy standards. Vendor Qualifications Proposals must include the following to be considered: Organizational Profile: A concise overview of your organization, its mission, and demonstrated expertise in workforce development, instructional design, and LMS platforms. Include the year of founding, the current team size, and the countries or regions in which your organization actively operates. Relevant Experience: A minimum of 8–10 years of demonstrated expertise in capability-led learning design, workforce development, and organizational performance management. Preference will be given to vendors with proven experience delivering scalable, role-based training solutions within nonprofits, INGOs, or organizations operating directly in Sub-Saharan Africa. Certifications: Vendors must list all relevant professional and platform certifications. This may include, but is not limited to: Instructional design credentials (e.g., ATD CPTD, CPLP) LMS/platform security certifications (e.g., SOC 2, ISO 27001) Industry accreditation for micro-credentials or digital badging (e.g., 1EdTech/IMS Global, Credly-compatible issuance) Client References: Please provide a minimum of two client references from comparable organizations. References will not be contacted unless a vendor advances to the shortlist stage. The Standard of Excellence Our standard of excellence is defined by: A mastery-based approach: Moving away from passive video-watching toward question-based active learning, where a staff member must demonstrate a skill to progress. International Benchmarking: All training must be mapped against recognized international competency standards, including ISO 10015:2019, where applicable. Operational Integration: The solution must fit seamlessly into our Sub-Saharan African field operations, accounting for low-bandwidth environments and high-stakes implementation. Implementation and Support: Vendors must describe their implementation approach, expected go-live timeline, ongoing technical support model, and platform uptime guarantee. We expect a structured handover process that does not leave our team dependent on the vendor for day-to-day operations. Time to Competency: Vendors must demonstrate how their solution tracks the time it takes any staff member to reach proficiency, whether joining the organization, moving into a new role, or completing a mandatory or skills-based training module. Proficiency thresholds will be defined collaboratively during the implementation phase. This is a primary performance indicator for us. Manager Visibility: The platform must provide managers with regular, up-to-date insight into staff learning progress and assessment performance, enabling proactive support and targeted intervention where needed. Every member of our team deserves a learning experience built for their role, and we do not accept \"one-size-fits-all\" training. Budget and Duration Budget: A fixed budget ceiling is not disclosed for this procurement. All pricing proposals will be evaluated against our 'Cost Effectiveness & Value' criterion, which constitutes 15% of the total evaluation score. We are a nonprofit organization and welcome mission-aligned and nonprofit pricing structures where applicable. Please clearly itemize your pricing, including: Content development or adaptation costs Platform licensing or subscription fees (per user, per year, or alternative model) Implementation and onboarding support costs Any optional add-ons or tiered service levels Contract Duration: The initial contract term is 12 months from project commencement. Contract renewal for subsequent capability scaling will be contingent upon performance outcomes, delivery metrics, and successful completion of the Phase 1 milestones. Selection Criteria: The Evidence-Based Live Demo Imagine Worldwide will evaluate proposals through a two-stage process designed to assess both theoretical capability and practical performance. Stage 1: Technical & Commercial Written Evaluation (Paper Shortlist) Written proposals will be scored out of a baseline of 100 points using the following weighted criteria to determine the competitive shortlist: Technical Approach & Pragmatism (30%): Evaluation of the proposed competency-based methodology, microlearning packaging, and alignment with our organizational goals. Relevant Experience & Capability (30%): Assessment of the vendor’s organizational track record (8–10 years) in global workforce development, particularly in Sub-Saharan Africa or the NGO sector. Work Plan & Risk Management (25%): Evaluation of the implementation timeline, including the operational readiness of the Phase 1 Proof of Concept (SWAP process). Cost Effectiveness & Value (15%): Assessment of commercial sustainability, transparent pricing structures, and nonprofit considerations. Stage 2: Holistic Live Demonstration (The Final Selection) Vendors who pass the written threshold will be invited to a live demonstration. This stage allows the evaluation panel to holistically experience the platform's functionality, content relevance, and User Experience (UX) all at once. The demo will be evaluated against these core operational experiences: Role Customization: Show us how the learning experience is built differently for two distinct roles (e.g., a Data Coordinator vs. a Field Manager). Mandatory Training: Show us how a staff member is assigned, completes, and is certified on an organization-wide mandatory training module, and how compliance is tracked and reported to leadership. Ongoing Skills Development: Show us how a staff member follows a role-specific learning path, earns a micro-credential, and is automatically re-engaged with refresher content over time. Onboarding Strength: Show us how a new hire's journey becomes mission and role-ready. Platform Usability and User Experience: Prove that your platform is modern, clear, engaging, and user-centric. Certification: Demonstrate how a staff member earns a digital certificate after mastering a skill set. Operational Reliability: Demonstrate how the platform performs under low-bandwidth conditions. Proposal Format Proposals must be submitted in a PDF format and remain concise and focused with a maximum of 6 pages. Proposals should include: Cover Page: Each proposal must open with a cover page including the following: Organization name and logo Primary contact name and title Email address and phone number Organization website Registered office location and country of incorporation Date of submission Organizational overview: Who you are and your relevant experience Technical approach: How you would address each of the four components in the Scope of Work Platform Demo: A link to a pre-recorded platform walkthrough or demo video. Shortlisted vendors will subsequently be invited to present a live demonstration to the Imagine Worldwide team. Certifications: List of all relevant credentials and platform certifications Pricing proposal: Clearly itemized Client references: Minimum two, with contact details Submission Vendors should note the following key dates and plan their submissions accordingly. Milestone Submission Timeline RFP Release June 12, 2026 Deadline for Vendor Questions June 19, 2026 (11:59 PM GMT) Responses to Vendor Questions Issued June 26, 2026 Proposal Submission Deadline July 10, 2026 (11:59 PM GMT) (Round 2 submissions) Shortlisted Vendor Notification July 24, 2026 Shortlisted Demos July 31, 2026 Contract Award August 14, 2026 Onboarding and Scoping with Vendor September 1, 2026 Target Implementation Start October 1, 2026 All proposals must be submitted by July 3, 2026, in PDF format via email to Karabo Moloko and Sane Ngidi at rfp.global@imagineworldwide.org. Please direct all inquiries to the same address. Shortlisted vendors will be notified by July 24, 2026, and contacted directly to schedule their live demonstration. Imagine Worldwide looks forward to reviewing proposals that demonstrate a genuine commitment to staff excellence and operational precision as we scale for impact.", "summaryDescription" : "RFP - Workforce Capability Development and Platform Solution at Imagine Worldwide. Skills: Workforce capability, Platform solution, Learning ecosystem, Competency-based model. Design learning paths. Build learning paths", "postedDate" : "2026-06-16T01:20:24.858", "createdAt" : "2026-06-16T01:20:24.858", "lastUpdated" : "2026-06-16T09:28:45.668", "ingestTimestamp" : "2026-06-16T01:20:24.858", "mongoId" : "6a307fb3f292fd229c05c989", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Workforce capability", "Platform solution", "Learning ecosystem", "Competency-based model", "Capability building", "Operational excellence", "Performance capacity", "Role development", "Content creation", "Microlearning delivery", "Evidence-based model", "Continuous improvement", "Data analysis", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "RFP process", "Literacy skills", "Numeracy skills", "Autonomous learning", "Foundational skills", "Child-directed learning", "Tech-enabled learning", "Educational opportunities", "Health outcomes", "Wealth outcomes", "Social outcomes", "Learning gains", "Universal literacy", "Workforce development", "Competency-based learning", "Operational processes", "Professional development", "Core competencies", "New responsibilities", "Mandatory policy training", "Child Protection Policy", "SWAP Process", "Deviations Management", "Risk Management", "Program Metrics", "Internal Reporting", "External Reporting", "Technical requirements", "Field Implementation", "Government Liaison", "Data Analytics", "Program Management", "International standards", "Competence standards", "ISO 10015:2019", "Automatic certification", "Onebillion software" ], "skillCount" : 66, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.0 }, { "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" : "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" : "6a3056e0f292fd229cf301f2", "title" : "On-the-Ground Specialist (Contractor)", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T09:22:05.941", "fingerprint" : "d118f4332f667a7abfb654f1d3211dbd8f53dd7e3060473d02c73d2a924da287", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008104", "externalId" : "8008104", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "softSkillsList" : [ "Problem-solving" ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement, Operational excellence", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement", "Operational excellence" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers with Caper Cart usage, Assist store teams with Caper Cart usage, Reinforce best practices, Reinforce training with store associates, Ensure store teams are confident in core workflows, Assist with “train-the-trainer” execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Provide feedback on opportunities for improvement, Partner with Implementation Managers, Partner with Ops Leads, Support communication between store teams and internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Cross-functional collaboration; Store teams; Internal stakeholders; Implementation Managers; Ops Leads", "domainKnowledge" : "Grocery industry; Retail technology", "domainList" : [ "grocery-industry", "retail-technology" ], "domainSpecificKnowledge" : [ "Grocery industry", "Retail technology" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "In-market travel, Out-of-market travel", "outcomesObjectives" : "Ensure carts are fully functional; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication and problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of-market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology, Experience in-store deployments, Familiarity with training store teams, Familiarity with onboarding store teams, Prior experience in contractor roles, Prior experience in field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground Specialist (Contractor) at Instacart. Skills: Deployment execution, In-store support, Training reinforcement, Operational excellence. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:19:17.193", "createdAt" : "2026-06-15T23:19:17.193", "lastUpdated" : "2026-06-16T09:22:05.941", "ingestTimestamp" : "2026-06-15T23:19:17.193", "mongoId" : "6a3056e0f292fd229cf301f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Problem-solving", "Deployment execution", "In-store support", "Training reinforcement", "Operational excellence", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Grocery industry", "Retail technology" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30515bf292fd229ceff29b", "title" : "Executive Assistant to the CMO", "company" : "American College of Obstetricians and Gynecologists", "salary" : { "min" : 85000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-16T08:58:31.654", "fingerprint" : "7fe34b425b8b2ce97ceea86d74ce9885e0a8eab99ee4d55763236484dadb9556", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/acog/jobs/4284078009", "externalId" : "4284078009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "The Executive Assistant to the CMO plays a critical role in ensuring the smooth operation of executive-level functions. This position is primarily responsible for providing high-level administrative support to the Chief Medical Officer and as needed, to other senior leaders. The Executive Assistant manages complex calendars, coordinates meetings and travel, prepares communications and reports, and handles confidential information with discretion. This role requires exceptional organizational skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment. Note: This position is considered Hybrid and will need to commute to ACOG's office located in Washington, D. C. Duties/Responsibilities: Manage the CMO’s schedule including coordinating appointments, meetings, and travel arrangements to ensure efficient time management. Anticipates and resolves conflicts. Handle communications, acting as a gatekeeper screening calls and meeting requests. Prioritizing those that align with the CMO’s strategic objectives. Organize and maintain administrative operations, manage multiple tasks and projects with competing priorities, and ensure smooth office operations. Work closely with the CMO to keep them informed of upcoming commitments and responsibilities, following up appropriately. Assists with presentations and document preparation. Provides administrative support to the CMO and other senior managers as needed. Maintains effective and professional verbal and written interactions with peers, stakeholders, supervisors, and other staff. Demonstrates the ability and willingness to manage new assignments, changes in procedures and business requirements. Identifies what needs to be done and takes appropriate action. Completes assigned work and meets deadlines without reminders/follow-up from supervisor or others. Performs work conscientiously with a high degree of accuracy. Works independently and/or within a team on special projects at the request of the CMO, which may include planning and coordinating multiple presentations, compiling, and disseminating large volumes of information, and organizing Division wide efforts. Collects weekly status reports from managers and distributes copies to Senior Management Team members. Prepares agendas for meetings as needed. Takes and transcribes meeting minutes as needed. Schedules and assists in the planning and preparation of organizational activities and meetings throughout the year. Performs all other duties as assigned. Required Skills/ Abilities: Strong organizational skills and ability to prioritize multiple tasks seamlessly with excellent attention to detail. Able to maintain a high level of integrity and discretion in handling confidential information. High level of capability with use of Microsoft Office products (Word, Excel and PowerPoint, one note Outlook). Experience with audio visual equipment and teleconferencing. Must have excellent communication, analytical and organizational skills with strong attention to detail. Read, write and speak fluent English. Exemplary customer service skills and professional demeanor. Ability to anticipate needs of the office and plan accordingly. Ability to communicate effectively, both verbally and in writing, with staff, clients, and visitors. Works collaboratively with staff to build and maintain a strong team environment to accomplish the tasks necessary to serve and support the goals of ACOG. Ability to effectively work in a high pressure, fast-paced environment and be held accountable for results. Ability to demonstrate conduct conforming to a set of values and accepted standards. Ability to be flexible with work hours and be physically in the office a minimum of 3 days per week (4 days preferred) (more on-site presence may be required depending on the schedule) Work hours 8:30-4:30, some afterhours work and communication required. Comfort working in a diverse and inclusive environment. Some domestic travel required. International travel may be required. Education and Experience: Associate degree in business administration, or a related field, bachelor’s degree preferred. 10 or more years of experience preferred in working in an executive assistant role supporting C-Level executives. Prior work with a healthcare nonprofit CEO preferred. Nonprofit board experience is preferred. Salary Range $85,000—$95,000 USD Our Perks Paid Parental Leave – Breastfeeding Friendly Workplace – Flexible work schedule – Commuting Allowance – Generous Paid Time Off – Holiday Pay – Life Insurance – Community Volunteering Opportunities – Generous 401(k) Company Contributions – Medical, Dental, and Vision Insurance – Learning Opportunities and Tuition Reimbursement – Company-Sponsored Team Outings – and more! ACOG is an EEO employer committed to providing equal employment opportunities to all applicants and employees. As a federal government contractor and in accordance with applicable laws, regulations, and Executive Orders, the College takes affirmative action to ensure that applicants and employees covered are not discriminated against because of their race, color, religion, national origin, sex (gender), age, disability, pregnancy, marital status, sexual orientation, personal appearance, gender identity or expression, family responsibilities, political affiliation, veteran status, genetic information, or any other characteristic that is protected by applicable law. For more information about your equal employment opportunity rights, please view this poster: EEO is the Law. The College also participates in E-Verify.", "summaryDescription" : "Executive Assistant to the CMO at American College of Obstetricians and Gynecologists", "postedDate" : "2026-06-15T23:16:36.013", "createdAt" : "2026-06-15T23:16:36.013", "lastUpdated" : "2026-06-16T08:58:31.654", "ingestTimestamp" : "2026-06-15T23:16:36.013", "mongoId" : "6a30515bf292fd229ceff29b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c68e674d8ee00a090530b", "title" : "Professionals With Corporate Cards: Feedback on Expense Workflows", "company" : "Terac", "industry" : "Participant Recruitment", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-15T04:54:58.669", "fingerprint" : "007a6acc09b142eb5cdd259544a1a8595a4995c2436e123a22d25e9d56d640db", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/terac/5a77005d-b8c0-4da0-aaec-5bb9c5faa902/application", "externalId" : "5a77005d-b8c0-4da0-aaec-5bb9c5faa902", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "employmentType" : "CONTRACT", "coreResponsibilities" : "Answer questions on purchasing habits, Complete short tasks, Describe expense submission process, Share opinions on financial tools", "qualificationsBasic" : "Company-issued credit card, Familiar with corporate expense policies, Access to desktop or laptop", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHAT WE'RE RESEARCHING We're running a paid study on the day-to-day realities of managing company expenses and corporate credit cards. Understanding how employees navigate these purchasing workflows helps us identify common friction points in enterprise financial tools. Your feedback will directly influence the next generation of expense management experiences. HOW IT WORKS You will complete a brief, unmoderated desktop session that takes approximately 15 minutes. During this time, you will answer a series of questions about your current corporate purchasing habits and expense reporting workflows. You will also complete a few simple tasks to demonstrate how you typically handle business transactions. The entire process is asynchronous and does not require a camera or microphone. WHO THIS IS FOR We welcome full-time professionals across all industries who have been issued a corporate credit card by their current employer. You should be familiar with making business purchases and navigating your company's expense submission process. We are looking for individuals who can provide candid feedback on their day-to-day financial workflows. WHAT YOU'LL DO - Answer questions about your corporate purchasing habits and expense workflows - Complete a few short tasks on your desktop computer - Describe the typical process you use for submitting business expenses - Share your candid opinions on current financial tools and pain points WHO SHOULD APPLY - Currently employed professional with a company-issued credit card - Familiar with corporate expense policies and purchasing workflows - Access to a desktop or laptop computer for the session - Comfortable providing written feedback on financial processes COMPENSATION $15 one-time READY TO PARTICIPATE? Start your paid interview now https://terac.com/interview/start/r/6bf1c4e7-9b6f-4903-b6de-a4a06d97c7fe?utm_source=ashby_listing_description ABOUT TERAC Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets. Learn more at terac.com https://terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.", "summaryDescription" : "Professionals With Corporate Cards: Feedback on Expense Workflows at Terac. Answer questions on purchasing habits. Complete short tasks", "createdAt" : "2026-06-14T04:51:37.292", "lastUpdated" : "2026-06-15T04:54:58.669", "ingestTimestamp" : "2026-06-14T04:51:37.292", "mongoId" : "6a2c68e674d8ee00a090530b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69cf19022beec4dd3d8f336b", "title" : "Project Lead - Data and Analytics", "company" : "Collectiv", "industry" : "Consulting", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Project Lead - Data and Analytics in Chicago, adjusted for the consulting industry and company size." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:19:11.588", "fingerprint" : "f12367e374a02b40109d314dabfb83ad4c792739946c6417dea0b89ea7985c3a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://collectiv.breezy.hr/p/dd8333538616-project-lead-data-and-analytics", "externalId" : "dd8333538616", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Project leadership", "Business analysis", "Stakeholder management" ], "hardSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Lead client-facing initiatives, Manage initiatives from discovery, Deliver client-facing initiatives", "projectManagementSkills" : [ "Project leadership" ], "domainKnowledge" : "Cloud data services; ML frameworks; BI platforms; Cloud data stacks", "domainList" : [ "cloud-data-services", "ml-frameworks", "bi-platforms", "cloud-data-stacks" ], "domainSpecificKnowledge" : [ "Cloud data services", "ML frameworks", "BI platforms", "Cloud data stacks" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Job Title: Project Lead - Data and Analytics We are seeking a results-driven Project Lead Consultant to lead client-facing Data and AI initiatives from discovery through delivery. 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We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . 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We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:18.805", "lastUpdated" : "2026-06-16T06:13:39.463", "ingestTimestamp" : "2026-06-15T22:01:18.805", "mongoId" : "6a305649f292fd229cf26d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a95f292fd229c03da19", "title" : "Chief of Staff to the CEO", "company" : "Top Shelf Collective", "industry" : "Retail", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Chief of Staff in Manila, Philippines, adjusted for the retail industry and a top-tier company." }, "location" : "Manila, Manila, Philippines", "locations" : [ "Manila", "Manila", "Philippines" ], "timestamp" : "2026-06-16T11:00:19.579", "fingerprint" : "1c85fdaa2fe01fa3d5aa7729f71af041beb4a7195ceff33d4174069089d830f8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freshprints/jobs/6030437004", "externalId" : "6030437004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manila", "state" : "Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5904492,120.9803621" } ], "locationText" : "Manila, Manila, Philippines", "employmentType" : "FULL_TIME", "technicalSkills" : "Google Workspace, Microsoft Office", "professionalSkills" : [ "Project management", "Business analysis", "Process improvement", "Vendor evaluation", "Operational reporting" ], "hardSkillsList" : [ "Executive support", "Calendar management", "Meeting summaries", "Project coordination", "Deliverable tracking", "Research", "Business analysis", "Workflow improvement", "SOP creation", "Process documentation", "AI implementation", "Automation solutions", "Technology adoption" ], "softSkillsList" : [ "Resourceful", "Curious", "Accountable", "Independent" ], "hardSkills" : [ { "name" : "Executive support", "level" : "intermediate" }, { "name" : "Calendar management", "level" : "intermediate" }, { "name" : "Meeting summaries", "level" : "intermediate" }, { "name" : "Project coordination", "level" : "intermediate" }, { "name" : "Deliverable tracking", "level" : "intermediate" }, { "name" : "Research", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" }, { "name" : "Workflow improvement", "level" : "intermediate" }, { "name" : "SOP creation", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Automation solutions", "level" : "intermediate" }, { "name" : "Technology adoption", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Resourceful" }, { "name" : "Curious" }, { "name" : "Accountable" }, { "name" : "Independent" } ], "majorSkills" : "Executive Operations, Project Management, Business Analysis, Process Improvement", "majorSkillsList" : [ "Executive Operations", "Project Management", "Business Analysis", "Process Improvement" ], "coreResponsibilities" : "Manage executive communications, Organize executive inbox, Follow up on executive actions, Coordinate executive calendars, Schedule meetings and appointments, Manage recurring priorities, Prepare meeting summaries, Prepare reports, Prepare internal documentation, Prioritize competing requests, Ensure key initiatives remain on track, Serve as operational partner to CEO, Coordinate projects from planning through execution, Track project deliverables, Track project deadlines, Track action items, Track stakeholder responsibilities, Follow up with stakeholders to ensure progress, Support implementation of strategic initiatives, Support operational improvements, Assist with new business initiatives, Assist with research projects, Assist with special assignments, Conduct research on vendors, Conduct research on products, Conduct research on services, Conduct research on technology solutions, Conduct research on business opportunities, Gather information for recommendations, Provide organized recommendations to leadership, Assist with vendor evaluations, Assist with RFP creation, Assist with solution comparisons, Analyze operational reports, Identify trends in reports, Identify risks in reports, Identify opportunities in reports, Support decision-making through research, Support decision-making through documentation, Support decision-making through analysis, Identify workflow inefficiencies, Identify workflow improvement opportunities, Create SOPs, Maintain SOPs, Create process documentation, Maintain process documentation, Create operational playbooks, Maintain operational playbooks, Assist with system implementation, Assist with tool implementation, Assist with operational improvement implementation, Standardize recurring processes across businesses, Ensure effective information flow between teams, Ensure effective communication flow between teams, Research and recommend productivity tools, Research and recommend efficiency tools, Assist with AI implementation, Assist with automation solution implementation, Document workflows, Support technology adoption initiatives, Identify opportunities to streamline repetitive tasks, Identify opportunities to streamline manual processes, Support initiatives across multiple businesses, Coordinate with vendors, Coordinate with partners, Coordinate with consultants, Coordinate with service providers, Assist with operational reporting, Assist with project reporting", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External stakeholders; Multiple businesses", "projectManagementSkills" : [ "Project management", "Agile", "Scrum", "Roadmap planning", "Kanban" ], "domainKnowledge" : "Retail operations; Hospitality operations; Specialty services; Community ventures; Business portfolio management", "domainList" : [ "retail-operations", "hospitality-operations", "specialty-services", "community-ventures", "business-portfolio-management" ], "domainSpecificKnowledge" : [ "Retail operations", "Hospitality operations", "Specialty services", "Community ventures", "Business portfolio management" ], "toolProficiency" : [ "Google Workspace", "Microsoft Office", "ChatGPT", "Claude", "Gemini" ], "communicationSkills" : "Executive communications; Meeting summaries; Internal documentation; Verbal communication; Written communication", "documentationSkills" : "SOP creation; Process documentation; Operational playbooks", "continuousLearning" : "Gain exposure to business operations; Gain exposure to projects; Gain exposure to leadership initiatives", "innovationCreativity" : "Implement AI and automation solutions; Streamline repetitive tasks; Streamline manual processes", "problemSolvingSkills" : "Problem-solving; Research; Analytical skills; Identify inefficiencies; Identify opportunities", "specialRequirements" : "Monday-Friday, 8:00 AM - 5:00 PM EST, Full-time remote role", "outcomesObjectives" : "Improve business processes; Ensure initiatives move forward; Create structure; Improve efficiency; Remove operational bottlenecks; Ensure progress on deliverables; Support strategic initiatives; Support operational improvements; Support new business initiatives; Provide organized recommendations; Improve workflows; Standardize recurring processes; Ensure effective information flow; Ensure effective communication flow; Improve productivity; Improve efficiency; Streamline repetitive tasks; Streamline manual processes; Improve operations; Implement systems; Support business growth", "qualificationsBasic" : "4+ years of experience in operations, project management, executive support, business operations, or similar, Exceptional written and verbal English communication skills, Organizational and time management abilities, Demonstrated ability to manage multiple priorities simultaneously, Problem-solving, research, and analytical skills, High level of accountability and ownership, Ability to work independently and proactively identify solutions, Proficiency with Google Workspace, Microsoft Office, and modern collaboration tools", "qualificationsPreferred" : "Experience supporting founders, executives, or business owners, Experience working in entrepreneurial, startup, or small business environments, Experience creating SOPs and operational documentation, Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms, Exposure to vendor management, procurement, operations, or process improvement, Experience coordinating multiple projects across different departments or business units", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Frontier Frontier is a subsidiary of Fresh Prints. Fresh Prints is a New York-based, fast-growing, fully remote, 150-person company with most of our team based in India and the Philippines. A few years ago, Fresh Prints began helping other fast-growing companies build their teams. We got so good at it that we spun out a new company to focus exclusively on that — and called it Frontier. At Frontier, we help companies grow full-time, cross-functional teams abroad. We hire the smartest people and place them into the best companies. In three years, we’ve never lost a client. If you’re interested in a Frontier role and you apply and are accepted, we’ll screen you through assessments and interviews and aim to get you an interview for a full-time job within the month. Think of us as your personal talent agent — and good luck with the application! \uD83D\uDE0A Please note: To ensure we find the best technical fit, our process will have a practical skills assessment prior to interviews. ABOUT TOP SHELF COLLECTIVE Top Shelf Collective is a family of locally owned businesses based in Jackson Hole, Wyoming. The organization operates a diverse portfolio of companies, including The Liquor Store & Wine Loft of Jackson Hole, Jackson Hole Marketplace, The Vault of Jackson Hole, Jackson Hole Gift Baskets, Jackson Hole Wine Club, and Jackson Hole Connection. Led by entrepreneur Stephan Abrams, Top Shelf Collective is built on a commitment to customer service, community involvement, operational excellence, and continuous improvement. With businesses spanning retail, hospitality, specialty services, and community-focused ventures, the organization is focused on creating exceptional experiences while continuing to grow and evolve. ROLE OVERVIEW The Chief of Staff serves as a trusted operational partner to the CEO, helping manage priorities, execute projects, improve business processes, and ensure important initiatives move forward. This role sits at the intersection of executive support, operations, project management, business analysis, and process improvement. The Chief of Staff will work directly with the CEO across multiple businesses and initiatives, helping create structure, improve efficiency, and remove operational bottlenecks. This is a highly dynamic role requiring strong business judgment, exceptional organization, proactive communication, and the ability to independently drive work forward with minimal oversight. The ideal candidate is resourceful, curious, highly accountable, and thrives in fast-moving environments where priorities can shift quickly. KEY RESPONSIBILITIES Executive Operations & Support Manage executive communications, inbox organization, and follow-up actions. Coordinate calendars, meetings, appointments, and recurring priorities. Prepare meeting summaries, reports, and internal documentation. Help prioritize competing requests and ensure key initiatives remain on track. Serve as a trusted operational partner to the CEO across multiple areas of the business. Project Management & Special Initiatives Coordinate and manage projects from planning through execution. Track deliverables, deadlines, action items, and stakeholder responsibilities. Follow up with internal and external stakeholders to ensure progress. Support implementation of strategic initiatives and operational improvements. Assist with new business initiatives, research projects, and special assignments. Research & Business Analysis Conduct research on vendors, products, services, technology solutions, and business opportunities. Gather information and provide organized recommendations to leadership. Assist with vendor evaluations, RFP creation, and solution comparisons. Analyze operational reports and identify trends, risks, or opportunities. Support decision-making through research, documentation, and analysis. Operations & Process Improvement Identify inefficiencies and opportunities to improve workflows. Create and maintain SOPs, process documentation, and operational playbooks. Assist with implementation of systems, tools, and operational improvements. Help standardize recurring processes across multiple businesses. Ensure information and communication flow effectively between teams. Technology & AI Enablement Research and recommend tools that improve productivity and efficiency. Assist with implementation of AI and automation solutions. Document workflows and support technology adoption initiatives. Help identify opportunities to streamline repetitive tasks and manual processes. Cross-Functional Business Support Support initiatives across multiple businesses within the Top Shelf Collective portfolio. Coordinate with vendors, partners, consultants, and service providers. Assist with operational reporting, project tracking, and administrative workflows. Take ownership of recurring responsibilities and continuously improve them over time. REQUIRED QUALIFICATIONS 4+ years of experience in operations, project management, executive support, business operations, or a similar role. Exceptional written and verbal English communication skills. Strong organizational and time management abilities. Demonstrated ability to manage multiple priorities simultaneously. Strong problem-solving, research, and analytical skills. High level of accountability and ownership. Ability to work independently and proactively identify solutions. Proficiency with Google Workspace, Microsoft Office, and modern collaboration tools. PREFERRED QUALIFICATIONS Experience supporting founders, executives, or business owners. Experience working in entrepreneurial, startup, or small business environments. Experience creating SOPs and operational documentation. Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms. Exposure to vendor management, procurement, operations, or process improvement. Experience coordinating multiple projects across different departments or business units. IDEAL CANDIDATE PROFILE Proactive and highly resourceful. Naturally curious with a strong desire to learn. Comfortable operating in ambiguity and figuring things out independently. Strong attention to detail and follow-through. Excellent communicator who keeps stakeholders informed and aligned. Able to balance strategic thinking with hands-on execution. Process-oriented while remaining flexible and adaptable. Takes ownership of outcomes rather than simply completing assigned tasks. Excited by the opportunity to work directly with a business owner and support multiple projects. growing businesses. COMPENSATION & BENEFITS Environment: Work directly with the CEO of a growing portfolio of locally owned businesses and gain exposure to a wide variety of business operations, projects, and leadership initiatives. Type: Full-time remote role. Shift: Monday–Friday, 8:00 AM – 5:00 PM EST. Opportunity: Play a key role in improving operations, implementing systems, and supporting business growth across multiple companies. rd Time/NY (EST) business hours.", "summaryDescription" : "Chief of Staff to the CEO at Top Shelf Collective. Skills: Executive Operations, Project Management, Business Analysis, Process Improvement. Manage executive communications. 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Austin:4800 N Lamar-Criss Cole (320TX-2926)
4800 N Lamar Blvd Ste 330
Criss Cole
Austin, 78756

" ], "timestamp" : "2026-06-15T07:44:31.351", "fingerprint" : "dc229b249722700e94a8efe1ef879a4748aa020926bb9ebc7f24dfb5cfad3db8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34610", "externalId" : "34610", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "professionalSkills" : [ "Staff services", "Program support", "Budget management", "Data analysis", "Financial reporting" ], "hardSkillsList" : [ "Document processing", "Statistical analysis", "Financial analysis" ], "hardSkills" : [ { "name" : "Document processing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" } ], "majorSkills" : "Staff services, Program support, Budget management", "majorSkillsList" : [ "Staff services", "Program support", "Budget management" ], "coreResponsibilities" : "Support Director of CCRC, Plan staff services functions, Direct staff services functions, Coordinate staff services functions, Manage complex communications, Manage document processing, Analyze practices and procedures, Develop practices and procedures, Recommend practices and procedures, Coordinate special projects, Direct special projects, Assist in regional program operational expense budget issues, Research program data, Query program data, Report program data, Serve as regional expert, Prepare financial correspondence, Prepare administrative correspondence, Analyze program statistical information, Report program statistical information, Prepare statistical summaries, Prepare charts, Prepare graphs, Consult with Director on progress, Consult with Director on development, Consult with Director on evaluation, Perform related work", "projectManagementSkills" : [ "Project coordination" ], "domainKnowledge" : "Workforce system; Program operations", "domainList" : [ "workforce-system", "program-operations" ], "domainSpecificKnowledge" : [ "Workforce system", "Program operations" ], "toolProficiency" : [ "Agency administrative system" ], "communicationSkills" : "Financial correspondence; Administrative correspondence", "problemSolvingSkills" : "Independent judgment", "specialRequirements" : "Regional travel, Statewide travel, Variable work hours, Carry/lift 10 pounds", "qualificationsBasic" : "1 year 6 months experience in business management, 1 year 6 months experience in human resource administration, 1 year 6 months experience in budget preparation, 1 year 6 months experience in budget control, 1 year 6 months experience in staff services function", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The mission of the Texas Workforce Commission (TWC) is to promote and support a workforce system that creates value and offers employers, individuals and communities the opportunity to achieve and sustain economic prosperity. To support our mission, we are seeking to fill an Assistant to the Director (Staff Services Officer III) position to join the CCRC Administration Department. This position is located at 4800 N Lamar Blvd, in Austin, Texas. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHAT YOU WILL DO: The Assistant to the Director (Staff Services Officer III) is selected by and reports to the Criss Cole Rehabilitation Center, CCRC Director. The Assistant to the Director performs complex (journey-level) staff services activities that support the efficiency and effectiveness of program staff services while maintaining confidentiality to sensitive issues. May train others. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: - Support the Director of CCRC by planning, directing, and coordinating diverse staff services functions necessary for the operation of the center programs to include managing complex communications. - Manage document processing - Analyze, develop and recommend practices and procedures related to program support functions. - Coordinate and direct special projects. - Assist in regional program operational expense budget issues (researching, querying, and reporting program data utilizing the agency case management systems). - Serve as regional expert on utilizing the agency administrative system. - Prepare financial and/or administrative correspondence of program staff under the direct supervision of the RD and /or DRD. - Analyze and reports program statistical information, preparing statistical summaries, charts, graphs presenting the results of analysis. - Consult with the Director as appropriate on the progress, development, and evaluation of areas of responsibility and special project activities. - Perform related work as assigned. YOU QUALIFY WITH: -One year and six months of full-time experience in business management, human resource administration, budget preparation or control, or a related staff services function. -Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $4,020.33-$5,756.83/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Regional and statewide travel is required, 5% of the time. Variable work hours may be required to fulfill the responsibilities of the position. Duty also includes the ability to carry/lift 10 pounds. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Assistant to the Director at Texas Workforce Commission. Skills: Staff services, Program support, Budget management. Support Director of CCRC. Plan staff services functions", "createdAt" : "2026-06-14T00:49:45.367", "lastUpdated" : "2026-06-15T07:44:31.351", "ingestTimestamp" : "2026-06-14T00:49:45.367", "mongoId" : "69ec72e84c40e2acd1d0b686", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Document processing", "Statistical analysis", "Financial analysis", "Staff services", "Program support", "Budget management", "Data analysis", "Financial reporting", "Project coordination", "Workforce system", "Program operations", "Agency administrative system" ], "skillCount" : 12, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2e97ed74d8ee00a0e1b119", "title" : "IT Data Leaders: 15-Minute Survey On Analytics Platforms", "company" : "Terac", "industry" : "Participant Recruitment", "salary" : { "min" : 200.0, "max" : 200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T00:44:09.156", "fingerprint" : "9f66da3e727e738c8b814c830c0ebee4568b1fd274209ab27f5c0d1a83dfeadf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/terac/9c3d0698-691c-4393-8065-c1515ee806b5/application", "externalId" : "9c3d0698-691c-4393-8065-c1515ee806b5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Snowflake, Databricks, BigQuery, Power BI", "hardSkillsList" : [ "Data architecture", "Analytics platforms", "Cloud data warehousing", "Business intelligence adoption" ], "hardSkills" : [ { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Analytics platforms", "level" : "intermediate" }, { "name" : "Cloud data warehousing", "level" : "intermediate" }, { "name" : "Business intelligence adoption", "level" : "intermediate" } ], "majorSkills" : "Data architecture, Analytics platforms", "majorSkillsList" : [ "Data architecture", "Analytics platforms" ], "coreResponsibilities" : "Complete a 15-minute structured survey, Detail experience evaluating data platforms, Provide feedback on analytics tools, Record brief video responses", "domainKnowledge" : "Cloud data warehousing; Enterprise analytics platforms", "domainList" : [ "cloud-data-warehousing", "enterprise-analytics-platforms" ], "domainSpecificKnowledge" : [ "Cloud data warehousing", "Enterprise analytics platforms" ], "toolProficiency" : [ "Snowflake", "Databricks", "BigQuery", "Power BI" ], "specialRequirements" : "Camera access required", "qualificationsBasic" : "Senior practitioner or decision-maker, Hands-on experience with major enterprise cloud data platforms, Comfortable completing a desktop-based survey with camera access", "qualificationsPreferred" : "Camera access during the session", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHAT WE'RE RESEARCHING We're running a paid study evaluating modern data architecture and enterprise analytics platforms. The goal is to capture firsthand perspectives from IT professionals who manage or decide on technical tooling. Your input will help us map current trends in cloud data warehousing and business intelligence adoption. HOW IT WORKS You will complete a 15-minute remote survey from your desktop computer. The session will ask about your experience evaluating, implementing, and managing major data platforms in an enterprise environment. We request camera access during the session to verify participation and capture any brief video responses. You will navigate through a series of structured questions detailing your technical workflow and platform preferences. WHO THIS IS FOR We are looking for experienced IT and data practitioners who hold decision-making or senior technical roles. We welcome data architects, analytics directors, lead data engineers, and IT infrastructure managers. You should have direct experience using major cloud platforms like Snowflake, Databricks, BigQuery, or Power BI in your day-to-day operations. WHAT YOU'LL DO - Complete a 15-minute structured survey from your desktop computer - Detail your experience evaluating enterprise data and analytics platforms - Provide specific feedback on the analytics tools you currently use - Record brief video responses using your web camera if prompted WHO SHOULD APPLY - Senior practitioner or decision-maker in the IT or data analytics field - Hands-on experience with major enterprise cloud data platforms - Comfortable completing a desktop-based survey with camera access COMPENSATION $200 one-time READY TO PARTICIPATE? Start your paid interview now https://terac.com/interview/start/r/ed2ec151-8f27-4dbc-a88b-9011ad52ca61?utm_source=ashby_listing_description ABOUT TERAC Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets. Learn more at terac.com https://terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.", "summaryDescription" : "IT Data Leaders: 15-Minute Survey On Analytics Platforms at Terac. Skills: Data architecture, Analytics platforms. Complete a 15-minute structured survey. 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Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. 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Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. 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Brands know when an order comes in, but they only see ~5% of the real story. We show them the other 95%: not just who bought, but who that person is — the execs, influencers, journalists, retail buyers, investors, and everyday customers who become a brand’s best evangelists. Our platform enriches every order in real time with professional and personal signals, builds personas, and powers everything from surprise-and-delight outreach to smarter email flows, analytics, and BD leads. We’re a small, high-performing team building the category-defining platform for e-commerce customer intelligence, backed by a world-class investor base. The Opportunity OuterSignal is hiring an Executive Assistant to the CEO. This is a high-trust, high-impact role at the center of how the company operates day to day. You'll support the CEO directly while also serving as a force multiplier for the broader executive team — keeping the leadership group organized, focused, and moving at the pace this business demands. This is not a role for someone who wants to manage calendars and wait for direction. The right person will anticipate needs before they're expressed, take ownership of complex logistics, and quietly make the organization run better. If you do your job well, the people around you will do their best work. What You’ll Do - Manage the CEO's calendar, travel, and communications — with the judgment to protect time for what matters most and the discretion to handle sensitive information. - Support the broader executive team on scheduling, logistics, and operational coordination across functions. - Plan and execute company-wide events and off-sites — from leadership retreats to all-hands — owning the details end to end so the team can show up and focus. - Prepare materials for internal and external meetings, including agendas, briefing documents, and follow-up summaries. - Manage vendors, expenses, and administrative workflows that keep the leadership team running efficiently. - Serve as a reliable point of contact for internal and external stakeholders on behalf of the CEO's office. - Identify gaps in how the executive team operates and build the processes to close them. What We're Looking For - 3+ years supporting a senior executive or leadership team in a fast-moving environment — startup or high-growth company experience strongly preferred. - Exceptional organizational skills and the ability to manage competing priorities without dropping anything. - Strong written communication — you'll be drafting on behalf of the CEO and should be able to match voice and intent. - High emotional intelligence and the instinct to handle sensitive situations with care and discretion. - Proactive by nature — you solve problems before they surface and flag issues before they escalate. - Based in New York City, with the flexibility to work in-person as needed. What We Offer - A seat at the center of a company with real traction and marquee brand logos — you'll see how the whole business works. - Meaningful ownership of a function that matters, with room to grow as the company does. - A leadership team that moves with urgency and respects the people who keep things running. - Competitive compensation and benefits. How to Apply Submit your resume along with responses to the application questions. We review applications on a rolling basis and will reach out to qualified candidates to discuss potential opportunities. OuterSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.", "summaryDescription" : "Executive Assistant to the CEO at OuterSignal", "createdAt" : "2026-06-14T20:26:01.126", "lastUpdated" : "2026-06-16T02:13:17.297", "ingestTimestamp" : "2026-06-14T20:26:01.126", "mongoId" : "6a2d34e174d8ee00a0b15de6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. 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} ], "majorSkills" : "Data analytics, Machine learning, Data engineering, Business intelligence", "majorSkillsList" : [ "Data analytics", "Machine learning", "Data engineering", "Business intelligence" ], "coreResponsibilities" : "Apply data analytic techniques, Increase organisation's capacity to anticipate risk, Maximise business opportunities through data driven insights, Identify high priority risk areas, Explore risks using data analytics, Carry out data analysis, Gather initial requirements, Production deployment, Operations, Solve analytics challenges, Integrate analytics with enterprise-level solution development, Provide viable insights to clients, Manage data architectures, Build data architectures, Optimize data architectures, Convert data into relevant insights, Interpret data using data governance, Interpret data using data quality processes, Design data pipelines for data ingestion, Design data pipelines for data transformation, Ensure reconciliation of data, Ensure 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true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. 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"Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Risk anticipation", "level" : "intermediate" }, { "name" : "Business opportunity maximization", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Data science, Machine learning, Business intelligence", "majorSkillsList" : [ "Data analytics", "Data science", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Apply data analytic techniques, Increase organisation's capacity to anticipate risk, Maximize business opportunities through data driven insights, Identify high priority risk areas, Explore risks using data analytics, Carry out data analysis, Gather initial requirements, Production deployment, Operations, Solve analytics 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Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Data science, Machine learning, Business intelligence. Apply data analytic techniques. 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"qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura. About the Role We are seeking an experienced analytics platform leader as the Director for the Data Analytics team. In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations. The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue. You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth. What You Will Do Vision drive alignment and adoption of analytics standards, metrics, and tools across domains. People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact. Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products. Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements. Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally Translate complex data into clear, actionable insights for stakeholders at all levels. Data Literacy: Enable global KPI metrics dashboard with a governed data dictionary to enable self service Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data What You Have 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams. Proven ability to lead the data lifecycle from definition through delivery; Master delivering measurable business outcomes and actionable insights; passion for data literacy. Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent. Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing. Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift. Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed. Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more. Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting Experience leading data mesh delivery, management and governance Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI. You are self-motivated, proactive, and able to lead and manage your own work effectively A pragmatic and goal oriented approach to development Nice to Have Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries. Data and Platform Architecture, Agentic AI and ML Ops platform experience Security expertise in integrating diverse data sources, including product, transactional, and compliance data Embedded analytics into product, finance, sales, marketing, business operations, and customer experience Ability to navigate hypergrowth while managing regulatory constraints Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 Strong technical foundation, demonstrated through education or early-career hands-on roles Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $226,100 - $266,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Director, Data Analytics at Ōura. Skills: Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution. Drive alignment of analytics standards. Lead high-performing analytics teams", "postedDate" : "2026-06-14T08:44:20.731", "createdAt" : "2026-06-14T08:44:20.731", "lastUpdated" : "2026-06-15T08:42:58.885", "ingestTimestamp" : "2026-06-14T08:44:20.731", "mongoId" : "6a2c934074d8ee00a0987b3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analytics", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "BI visualization", "Data platforms", "Statistical modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Cloud data services", "Data governance", "Data mesh", "Data quality", "Data integrity", "Data literacy", "Unified data mesh", "Global KPIs", "Data dictionary", "Data catalog", "Data products", "Data domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data management", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Customer journey", "Business domain owners", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale", "Leadership", "Mentoring", "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution", "Data strategy", "Business metrics", "Analytics standards", "Metrics definition", "Roadmap development", "Stakeholder management", "Business operations", "Cross-functional collaboration", "Privacy compliance", "Security requirements", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "skillCount" : 92, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c910a74d8ee00a0981d4b", "title" : "Executive Assistant to the Board", "company" : "JetBrains", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Executive Assistant in the Technology industry in Amsterdam, Netherlands, adjusted for company size and seniority." }, "location" : "Amsterdam", "locations" : [ "Amsterdam", "Munich" ], "timestamp" : "2026-06-16T02:34:53.990", "fingerprint" : "71312a5d278c94324c735db44d69758daa3cac3c65bb25ba75f1c27e1d9a4e2b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/jetbrains/jobs/4765684101", "externalId" : "4765684101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, Netherlands", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "JetBrains is an international software development company. Since 2000, we’ve built tools that help developers stay focused and get work done. Today, more than 11 million users rely on our products, and 88 of the Fortune Global 100 companies use them. Our Executive Assistants partner with the Management Board and senior leaders at JetBrains. We act as trusted operational partners: combining classic executive support with project coordination, stakeholder communication, and light process design. We focus on clarity, time, and priority management, while also ensuring that senior managers remain unblocked so they can focus on the highest-impact work. The team operates with a high degree of autonomy, trust, and collaboration across functions. In this role, you will Orchestrate board-related time, meetings, and travel – Coordinate the timing and logistics of board and other leadership meetings, support agenda design, content preparation, decision tracking, and follow-up hygiene, and arrange board-related travel and on-site logistics as needed, staying agile when plans shift while maintaining accuracy and deadlines. Protect board time and attention – Help manage and prioritize requests and topics that seek board visibility or discussion, ensuring board time is spent on the highest-impact issues and resetting expectations when timing, scope, or ownership needs to change. Build trusted partnerships – Build strong, professional relationships with executives and senior leaders, becoming a trusted point of contact. Maintain structured board and leadership communication – Set up and maintain clear, reliable systems and channels to track key partner and stakeholder interactions, board topics, decisions, and follow-ups, keeping the board and leadership informed, aligned, and prepared for upcoming meetings and decisions. Design and run governance and operating rhythms – Design, implement, and continuously refine governance and operating rhythms that improve focus, alignment, efficiency, and predictability across the executive office and broader leadership team. Support and coordinate ad hoc projects and special initiatives – Support planning and execution of board offsite events, leadership gatherings, internal events, and other priority initiatives together with relevant teams, aligning stakeholders and helping ensure smooth delivery. Operate with ownership and discretion – Exercise sound judgment and discretion when handling sensitive and confidential information. You might thrive in this role if you Have 7+ years of experience in an executive support, operations, or similar coordination role, ideally supporting senior leaders in a dynamic tech or high-growth environment. Are fluent in English (spoken and written); other languages are a plus. Think analytically and structurally and are able to synthesize large amounts of information into concise insights, summaries, and action points. Are proactive and anticipatory, often two steps ahead, spotting needs before they surface. Are business-minded and curious about the “why” and not just the “what” when it comes to decision-making. It would be great if you are comfortable acting as a light thought partner when needed. Take ownership and exercise good judgment. You should be able to make independent decisions, maintain healthy boundaries, and know when something truly needs escalation, balancing a service-oriented mindset with assertiveness. Are very comfortable with modern tools (Google Workspace, Slack, Miro, and similar) and have a genuine interest in the products we build and in how AI can transform the way developers work. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family. Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-YY1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.", "summaryDescription" : "Executive Assistant to the Board at JetBrains", "postedDate" : "2026-06-14T18:41:46.411", "createdAt" : "2026-06-14T18:41:46.411", "lastUpdated" : "2026-06-16T02:34:53.990", "ingestTimestamp" : "2026-06-14T18:41:46.411", "mongoId" : "6a2c910a74d8ee00a0981d4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b704107fc9a711f0f6ebcb", "title" : "Senior Area Manager, On The Road", "company" : "Amazon Japan G. K.", "industry" : "Supply Chain/Transportation Management, Fulfillment Center, transportation and logistics", "salary" : { "min" : 7500000.0, "max" : 1.1E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in Logistics in Fuchu-shi, Japan, adjusted for Amazon's company size and the specific industry." }, "location" : "Fuchu-shi, Tokyo, JPN", "locations" : [ "Fuchu-shi, Tokyo, JPN" ], "timestamp" : "2026-06-16T02:37:25.081", "fingerprint" : "3e1b265b021f64ab6ba85500ba8d9dfaff7add0df40821f659a9f959ed6319ff", "source" : "amazon", "language" : "ja", "applyUrl" : "https://account.amazon.com/jobs/3070659/apply", "externalId" : "ebb97417-8c66-4156-b5b2-eb581cd20b3d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fuchu-shi", "state" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "35.6693751,139.4774094" } ], "locationText" : "Fuchu-shi, Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process improvement", "Performance management", "Vendor management", "Account management", "Sales management", "Logistics management" ], "hardSkillsList" : [ "KPI management", "Cost management", "Capacity planning", "Quality management" ], "hardSkills" : [ { "name" : "KPI management", "level" : "intermediate" }, { "name" : "Cost management", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Quality management", "level" : "intermediate" } ], "majorSkills" : "Delivery partner management, Last-mile operations, Process improvement, Team management", "majorSkillsList" : [ "Delivery partner management", "Last-mile operations", "Process improvement", "Team management" ], "coreResponsibilities" : "Develop new delivery models, Manage delivery operations, Develop last-mile delivery methods, Build long-term delivery capacity, Build relationships with delivery partners, Manage delivery costs, Manage delivery capacity, Manage delivery quality, Improve customer experience, Expand business, Realize new services, Develop new delivery channels, Expand new delivery channels, Manage standardized processes, Improve existing processes, Trial innovative solutions, Manage team members, Develop team members, Manage team performance", "teamCollaboration" : "Operations team", "domainKnowledge" : "Last-mile logistics; Delivery operations", "domainList" : [ "last-mile-logistics", "delivery-operations" ], "domainSpecificKnowledge" : [ "Last-mile logistics", "Delivery operations" ], "innovationCreativity" : "Trial innovative solutions", "specialRequirements" : "Work at Fuchu DS, 3-4 days/week Shinagawa office, 1-2 days/week other areas", "outcomesObjectives" : "Improve customer experience; Expand business; Achieve planned delivery costs; Achieve planned delivery capacity; Achieve planned delivery quality", "qualificationsBasic" : "Japanese business level, 2+ years team management, Account management experience, Sales experience, Logistics operations management experience", "qualificationsPreferred" : "English business level, Master's degree in operations, 4+ years vendor logistics management, 4+ years channel management, 4+ years account management, Operations management experience, Retail operations management experience, Sales experience (any industry), Manage partner operations, Capacity management knowledge, Logistics volume planning knowledge, Logistics network planning knowledge, Performance and numerical management knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Senior Area Manager, On the Road (OTR) は、担当地域における新しい配送モデルを開発、管理することが求められます。また、ラストマイル（最終拠点からエンドユーザーへの物流サービス）のオペレーション・チームの一員として、お客様へのラストマイル配送に関する様々な手法を開発し、長期的な配送能力を構築していきます。 Key job responsibilities ・業務提携先の配送パートナーと信頼関係を構築し、チャネルや配送拠点毎の担当エリアの配送コスト、配送キャパシティ、配送品質が、ピーク期間を含め、計画通り推移するよう、管理し、顧客体験の向上、ビジネスの拡大に貢献する。・担当地域での新サービス、ビジネスを実現し、新しい配送チャネルの開発、拡大に貢献する。・担当するプログラムにおいて、標準化されたプロセスの管理者として機能し、且つ顧客体験の擁護者として、革新的な解決策を試みることを含め、既存のプロセスを速やかに、かつ長期的に改善するよう、一貫して試みる。・チームマネジメント（人材育成・パフォーマンス管理） A day in the life ※ 所属は府中デリバリーステーションになりますが、品川オフィスへ週3-4回、その他の担当エリアへの出勤を週1-2回程度で想定しています。 About the team 【More Information】 ■事業企画/プランニング職種の紹介 ■ラストマイル(AMZL)部門の紹介～Amazon Hubデリバリーパートナープログラム～ ■勤務地（東京府中DS）の紹介 ―――――――――――――――――― Amazon は多様かつインクルーシブな職場づくりを目指しています。Amazonは男女雇用機会均等法を順守しています。人種、出身国、性別、性的指向、障がい、年齢、その他の属性によって差別することなく、平等に採用選考の機会を提供しています。障がいをお持ちの方は、以下をご覧ください。https://www.amazon.jobs/disability/jp ＊オペレーション部門 DEIの取り組み Basic Qualifications: - 日本語ビジネスレベル - ２名以上のチームマネジメント経験 - アカウント管理や営業経験（KPI管理や設定、プロセス改善、ベンダーマネジメント等）、もしくは物流業務管理の経験 Preferred Qualifications: - 英語ビジネスレベル - オペレーション関連分野における修士号 - 4年以上の業務委託先が配送する物流業務の管理、チャネル管理の経験、配送オペレーションを理解した上での現場でのアカウント管理経験 - オペレーション、小売業務の管理経験、業種を問わず営業経験ビジネスの拡大に伴いながら、提携先のオペレーションを管理し、サービスレベル、コストを維持した経験 - キャパシティ管理、配送物量計画、配送ネットワークの企画・管理、配送品質・コストの改善等を含めたパフォーマンス、数値管理の知識 - インクルーシブなカルチャーへの貢献や多様性に富んだグループで働くことに対して前向きであること 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" : "Senior Area Manager, On The Road at Amazon Japan G. K.. Skills: Delivery partner management, Last-mile operations, Process improvement, Team management. Develop new delivery models. Manage delivery operations", "postedDate" : "2026-06-14T19:40:51.423", "createdAt" : "2026-06-14T19:40:51.423", "lastUpdated" : "2026-06-16T02:37:25.081", "ingestTimestamp" : "2026-06-14T19:40:51.423", "mongoId" : "68b704107fc9a711f0f6ebcb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070659/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "KPI management", "Cost management", "Capacity planning", "Quality management", "Delivery partner management", "Last-mile operations", "Process improvement", "Team management", "Performance management", "Vendor management", "Account management", "Sales management", "Logistics management", "Last-mile logistics", "Delivery operations" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e0f292fd229cf30225", "title" : "On-the-Ground-Specialist (Contractor) - Caper Deployments", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T07:27:40.427", "fingerprint" : "ea528fa26eb07f654f226d35d40d5116982c4bb1dff158dfb27fa5f6e0b06e39", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008098", "externalId" : "8008098", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers with Caper Cart usage, Assist store teams with Caper Cart usage, Reinforce best practices, Reinforce training with store associates, Ensure store teams are confident in core workflows, Assist with train-the-trainer execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Provide feedback on opportunities for improvement, Partner with Implementation Managers, Partner with Ops Leads, Support communication between store teams, Support communication between internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Implementation and Operations teams; Store teams; Internal stakeholders; Multiple deployment locations", "domainKnowledge" : "Caper Cart deployments; Grocery industry", "domainList" : [ "caper-cart-deployments", "grocery-industry" ], "domainSpecificKnowledge" : [ "Caper Cart deployments", "Grocery industry" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel in-market (within 2.5 hours) regularly, Travel out-of-market (within U.S.) up to 40% of the time", "outcomesObjectives" : "Enable scalable, high-quality launches; Ensure carts are fully functional; Ensure store teams are supported; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication skills, Problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of-market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology, Experience supporting in-store deployments, Familiarity with training store teams, Familiarity with onboarding store teams, Prior experience in contractor roles, Prior experience in field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground-Specialist (Contractor) - Caper Deployments at Instacart. Skills: Deployment execution, In-store support, Training reinforcement. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:20:55.241", "createdAt" : "2026-06-15T23:20:55.241", "lastUpdated" : "2026-06-16T07:27:40.427", "ingestTimestamp" : "2026-06-15T23:20:55.241", "mongoId" : "6a3056e0f292fd229cf30225", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deployment execution", "In-store support", "Training reinforcement", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Caper Cart deployments", "Grocery industry" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e0f292fd229cf30223", "title" : "On-the-Ground-Specialist (Contractor) - Caper Deployments", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T07:47:13.693", "fingerprint" : "ac7288230abddf70a2f813d5c75e42d46c7baffdbab696f8f49eba8a560f950a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008094", "externalId" : "8008094", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers with Caper Cart usage, Assist store teams with Caper Cart usage, Reinforce best practices, Reinforce training with store associates, Ensure store teams are confident in core workflows, Assist with train-the-trainer execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Provide feedback on opportunities for improvement, Partner with Implementation Managers, Partner with Ops Leads, Support communication between store teams, Support communication between internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Cross-functional collaboration; Store teams; Internal stakeholders; Implementation team; Operations teams", "domainKnowledge" : "Caper Cart deployments; Retail operations", "domainList" : [ "caper-cart-deployments", "retail-operations" ], "domainSpecificKnowledge" : [ "Caper Cart deployments", "Retail operations" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel in-market (within 2.5 hours) regularly, Travel out-of-market (within U.S.) up to 40% of the time", "outcomesObjectives" : "Ensure carts are fully functional; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication skills, Problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of-market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology, Experience supporting in-store deployments, Familiarity with training store teams, Familiarity with onboarding store teams, Prior experience in contractor roles, Prior experience in field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground-Specialist (Contractor) - Caper Deployments at Instacart. Skills: Deployment execution, In-store support, Training reinforcement. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:20:47.695", "createdAt" : "2026-06-15T23:20:47.695", "lastUpdated" : "2026-06-16T07:47:13.693", "ingestTimestamp" : "2026-06-15T23:20:47.695", "mongoId" : "6a3056e0f292fd229cf30223", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deployment execution", "In-store support", "Training reinforcement", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Caper Cart deployments", "Retail operations" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e0f292fd229cf30224", "title" : "On-the-Ground-Specialist (Contractor) - Caper Deployments", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T08:48:13.675", "fingerprint" : "9bc48e8e9c2b8df414ab8af8096d61cabbdb654057164d68b3de0109a634938c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008097", "externalId" : "8008097", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Testing", "Training reinforcement", "Launch execution", "Troubleshooting", "Hardware troubleshooting", "Software troubleshooting", "Store operations troubleshooting" ], "hardSkills" : [ { "name" : "Testing", "level" : "intermediate" }, { "name" : "Training reinforcement", "level" : "intermediate" }, { "name" : "Launch execution", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Hardware troubleshooting", "level" : "intermediate" }, { "name" : "Software troubleshooting", "level" : "intermediate" }, { "name" : "Store operations troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers and store teams with Caper Cart, Reinforce best practices, Support Implementation team by reinforcing training, Ensure store teams are confident in core workflows, Assist with train-the-trainer execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Partner with Implementation Managers and Ops Leads, Support communication between store teams and internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Implementation and Operations teams; Store teams; Internal stakeholders", "domainKnowledge" : "Caper Cart deployments; Grocery industry", "domainList" : [ "caper-cart-deployments", "grocery-industry" ], "domainSpecificKnowledge" : [ "Caper Cart deployments", "Grocery industry" ], "problemSolvingSkills" : "Troubleshoot issues; Solve problems", "specialRequirements" : "Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of market (within U.S.) up to 40% of the time", "outcomesObjectives" : "Ensure carts are fully functional; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication skills, Problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology or in-store deployments, Familiarity with training or onboarding store teams, Prior experience in contractor or field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground-Specialist (Contractor) - Caper Deployments at Instacart. Skills: Deployment execution, In-store support, Training reinforcement. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:19:55.515", "createdAt" : "2026-06-15T23:19:55.515", "lastUpdated" : "2026-06-16T08:48:13.675", "ingestTimestamp" : "2026-06-15T23:19:55.515", "mongoId" : "6a3056e0f292fd229cf30224", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Testing", "Training reinforcement", "Launch execution", "Troubleshooting", "Hardware troubleshooting", "Software troubleshooting", "Store operations troubleshooting", "Deployment execution", "In-store support", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Caper Cart deployments", "Grocery industry" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2b1b0174d8ee00a0773a2c", "title" : "Assistant to the Deputy Superintendent", "industry" : "Education", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Assistant to the Deputy Superintendent in Texas, adjusted for mid-seniority and the education industry." }, "location" : "TEXAS", "locations" : [ "TEXAS" ], "timestamp" : "2026-06-16T05:28:08.255", "fingerprint" : "928d42d34ce8f1f0f10650cdfb47f4c233df090ef3b04397c3df663c5b8f712e", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=193180", "externalId" : "193180", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Texas", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Texas, United States", "professionalSkills" : [ "Administrative support", "Clerical support", "Confidential matters", "Data entry", "Keyboarding" ], "hardSkillsList" : [ "Microcomputer use", "Word processing", "Spreadsheet software", "Database software", "Data entry", "Typing" ], "hardSkills" : [ { "name" : "Microcomputer use", "level" : "intermediate" }, { "name" : "Word processing", "level" : "intermediate" }, { "name" : "Spreadsheet software", "level" : "intermediate" }, { "name" : "Database software", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Typing", "level" : "intermediate" } ], "majorSkills" : "Administrative support, Executive support, Board support, Confidentiality", "majorSkillsList" : [ "Administrative support", "Executive support", "Board support", "Confidentiality" ], "coreResponsibilities" : "Provide administrative support, Maintain positive support, Keep Deputy Superintendent informed of deadlines, Keep Divisional Leadership informed of deadlines, Keep Superintendent informed of deadlines, Keep Board of Trustees informed of deadlines, Keep Deputy Superintendent informed of pending items, Keep Divisional Leadership informed of pending items, Keep Superintendent informed of pending items, Keep Board of Trustees informed of pending items, Maintain calendars, Schedule appointments, Make arrangements for meetings, Make arrangements for conferences, Prepare replies to general requests, Prepare replies to routine letters, Handle arrangements for Deputy Superintendent travel, Handle appointments with local officials, Handle appointments with state officials, Handle appointments with federal officials, Handle appointments with elected officials, Maintain high volume contact by telephone, Maintain high volume contact by email, Maintain high volume contact in person, Screen telephone callers, Screen drop-in visitors, Handle inquiries, Refer inquiries, Review incoming mail, Retrieve background information, Ensure follow-up on Deputy Superintendent decisions, Ensure follow-up on Deputy Superintendent requests, Ensure follow-up on administration action items, Assist with preparation of materials for Deputy Superintendent, Maintain updated events calendar, Organize filing systems, Maintain filing systems, Purchase supplies, Maintain office supply closet, Stock office supply closet, Maintain kitchens, Stock kitchens, Maintain copier, Stock copier, Communicate with IT department for meeting support, Ensure equipment is operational, Reconcile absences in Absence Management System, Perform clerical duties", "teamCollaboration" : "Interact with top level officials; Interact with all staff", "domainKnowledge" : "School division administration", "domainList" : [ "school-division-administration" ], "domainSpecificKnowledge" : [ "School division administration" ], "toolProficiency" : [ "Microcomputer", "Word processing equipment", "Spreadsheets", "Database software" ], "communicationSkills" : "Interpersonal skills; Communication skills", "continuousLearning" : "Attendance at conferences; Professional development", "specialRequirements" : "Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Lifting/carrying items weighing less than 40 pounds, Use hands to finger, Use hands to handle, Use hands to feel objects, Use hands to feel tools, Reach with hands, Talk or hear, Close vision, Color vision, Ability to adjust focus, Occasional irregular hours, Maintain emotional control under stress", "qualificationsBasic" : "High School diploma or GED, Minimum of 5 years clerical experience, Ability to manage clerical and administrative support activities, Skills in the use of a microcomputer, Skills in word processing equipment, Skills in spreadsheets, Skills in database software programs, Rapid data entry keyboarding functions, General office skills, Ability to work well under pressure, Ability to interact with top level officials, Ability to interact with all staff", "qualificationsPreferred" : "Associate's degree, Progressive growth supporting C-level executive and Board", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview Assistant to the Deputy Superintendent will provide administrative support to the Deputy Superintendent and Board of Trustees in a manner that allows them to interact effectively with community, district staff, students and top-level officials (legislative, community, county, school). The incumbent will provide and maintain positive support on frequently sensitive, confidential, and controversial matters. Considerable judgment and tact is required of the incumbent in handling the many diverse problems that occur. Position Description Essential Duties and Responsibilities Keep Deputy Superintendent, Divisional Leadership, Superintendent and Board of Trustees informed of deadlines and pending items. Maintain calendars and schedule appointments and conferences; make necessary arrangements for meetings and conferences, including space, time, and participants; prepare replies to general requests and routine letters on varied matters of the Deputy Superintendent's and Board President's signature Handle arrangements for Deputy Superintendent as needed; including travel, appointments with local, state, federal and elected officials Maintain a high volume contact by telephone, email and in person with employees. Screen telephone callers and drop-in visitors, handle inquiries including substantive questions requiring research or technical knowledge or tactfully referring those which can be handled by other offices Review incoming mail for action of Deputy Superintendent; retrieve appropriate background information to be attached to the correspondence or other materials; note details pertinent to the Board member's, and Deputy Superintendent's calendars as needed for current and future attention Ensure follow-up on Deputy Superintendent decisions and requests and administration action items Assist with preparation of materials for Deputy Superintendent meetings. Maintain updated events calendar Organize and maintain filing systems, according to standard filing procedures, and at times according to local, state or federal guidelines; maintains a log of staff assignments Purchase supplies, maintain, and stock office supply closet, kitchens and copier Communicate with IT department for meeting support when necessary and ensure equipment is operational Reconcile absences in Absence Management System for Deputy Superintendent's office and Leadership team Supervisory Responsibilities None Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. High School diploma or GED Associate's degree preferred Minimum of 5 years clerical experience with progressive growth supporting C-level executive and Board preferred Maintain a high level of confidentiality concerning district, personnel, customer and vendor information Strong communication, interpersonal and organizational skills Ability to manage clerical and administrative support activities of a large school division, and to guide and support activities and staff Strong skills in the use of a microcomputer and word processing equipment, spreadsheets and database software programs, and rapid data entry keyboarding functions General office skills including photocopying, faxing, scanning and filing Ability to work well under pressure with constant deadlines and frequent interruptions Ability to interact with top level officials and all staff with tact, courtesy and diplomacy Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. TEXAS", "summaryDescription" : "Assistant to the Deputy Superintendent. Skills: Administrative support, Executive support, Board support, Confidentiality. Provide administrative support. Maintain positive support", "createdAt" : "2026-06-14T18:56:45.306", "lastUpdated" : "2026-06-16T05:28:08.255", "ingestTimestamp" : "2026-06-14T18:56:45.306", "mongoId" : "6a2b1b0174d8ee00a0773a2c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microcomputer use", "Word processing", "Spreadsheet software", "Database software", "Data entry", "Typing", "Administrative support", "Executive support", "Board support", "Confidentiality", "Clerical support", "Confidential matters", "Keyboarding", "School division administration", "Microcomputer", "Word processing equipment", "Spreadsheets" ], "skillCount" : 17, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "69faf7f84c40e2acd18676a6", "title" : "National Consultant to support the development of NCD - NSP", "industry" : "Government", "salary" : { "min" : 1.5E7, "max" : 2.5E7, "currency" : "RWF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Rwanda, adjusted for entry-level seniority in the government sector in Kigali." }, "location" : "Rwanda-Kigali", "locations" : [ "Rwanda-Kigali", "May 18, 2026, 9:59:00 PM", "Rwanda-Kigali, " ], "timestamp" : "2026-06-16T02:07:45.436", "fingerprint" : "9f18aace5c3697adf6acde5cd7a4cc69f209aa7d8b94c0624c4c8d69160a025c", "source" : "taleo", "language" : "en", "applyUrl" : "https://who.taleo.net/careersection/ex/jobdetail.ftl?job=389918", "externalId" : "389918", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kigali", "country" : "Rwanda", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.9534357,30.1140089" } ], "locationText" : "Kigali, Rwanda", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Support development of NCD, Support development of NSP", "specialRequirements" : "External consultant, 3 months contract", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "No grade External consultant 3 months", "summaryDescription" : "National Consultant to support the development of NCD - NSP. Support development of NCD. Support development of NSP", "createdAt" : "2026-06-14T19:40:35.730", "lastUpdated" : "2026-06-16T02:07:45.436", "ingestTimestamp" : "2026-06-14T19:40:35.730", "mongoId" : "69faf7f84c40e2acd18676a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.75 }, { "id" : "6a2ce7ba74d8ee00a0a68645", "title" : "Executive Assistant to the CEO", "company" : "LUMBRA", "industry" : "Business Operations ", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Executive Assistant to the CEO in Arlington, USA, with adjustments for senior-level experience in the Defense Tech industry." }, "location" : "Arlington", "locations" : [ "Arlington" ], "timestamp" : "2026-06-15T09:00:19.941", "fingerprint" : "034ca2c9166fd3d327afb2170c1888904e58b25cbdcb279e343c73a5c8d59ade", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lumbra/fc370516-95f3-4d3a-8e45-ca4d9cd6816c/application", "externalId" : "fc370516-95f3-4d3a-8e45-ca4d9cd6816c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "arlington", "state" : "texas", "country" : "united states", "continent" : "north america", "source" : "locations-index", "geo" : "32.73569,-97.10807" } ], "locationText" : "arlington, texas, united states", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Executive support", "Meeting preparation", "Logistics coordination", "Information handling", "Project ownership", "Investor relations", "External communications" ], "hardSkillsList" : [ "Calendar management", "Inbox management", "Travel coordination", "Briefing packet preparation", "Pre-read preparation", "Classified visit coordination", "Secure travel coordination", "Base access coordination", "SCIF visit coordination", "Board material preparation", "Personnel matter handling", "Event logistics", "Offsite planning", "Conference coordination", "Partnership follow-through" ], "hardSkills" : [ { "name" : "Calendar management", "level" : "intermediate" }, { "name" : "Inbox management", "level" : "intermediate" }, { "name" : "Travel coordination", "level" : "intermediate" }, { "name" : "Briefing packet preparation", "level" : "intermediate" }, { "name" : "Pre-read preparation", "level" : "intermediate" }, { "name" : "Classified visit coordination", "level" : "intermediate" }, { "name" : "Secure travel coordination", "level" : "intermediate" }, { "name" : "Base access coordination", "level" : "intermediate" }, { "name" : "SCIF visit coordination", "level" : "intermediate" }, { "name" : "Board material preparation", "level" : "intermediate" }, { "name" : "Personnel matter handling", "level" : "intermediate" }, { "name" : "Event logistics", "level" : "intermediate" }, { "name" : "Offsite planning", "level" : "intermediate" }, { "name" : "Conference coordination", "level" : "intermediate" }, { "name" : "Partnership follow-through", "level" : "intermediate" } ], "majorSkills" : "Executive support, Classified logistics, Sensitive information handling", "majorSkillsList" : [ "Executive support", "Classified logistics", "Sensitive information handling" ], "coreResponsibilities" : "Own CEO's calendar, Own CEO's inbox, Own CEO's travel, Own CEO's operating rhythm, Prepare CEO for meetings, Coordinate classified logistics, Coordinate customer-site logistics, Handle sensitive information, Handle sensitive communications, Take ownership of executive-function projects, Support board prep, Support investor relations, Support external communications", "teamCollaboration" : "Partnering with leadership", "domainKnowledge" : "Agentic AI; High-consequence environments; Classified spaces; JWICS; Defense tech; US Government; Intelligence Community (IC); Department of Defense (DoD); Frontier AI labs; National security", "domainList" : [ "agentic-ai", "high-consequence-environments", "classified-spaces", "jwics", "defense-tech", "us-government", "intelligence-community-ic", "department-of-defense-dod", "frontier-ai-labs", "national-security" ], "domainSpecificKnowledge" : [ "Agentic AI", "High-consequence environments", "Classified spaces", "JWICS", "Defense tech", "US Government", "Intelligence Community (IC)", "Department of Defense (DoD)", "Frontier AI labs", "National security" ], "communicationSkills" : "Executive presentations; Investor communications", "documentationSkills" : "Briefing packets; Pre-reads", "specialRequirements" : "Clearance eligibility, Willingness to be sponsored, Based in National Capital Region", "qualificationsBasic" : "5+ years as Executive Assistant, Experience interfacing with senior external stakeholders, Polished written communication, Polished verbal communication, Demonstrated discretion at founder/CEO level, U.S. citizenship", "qualificationsPreferred" : "Prior EA experience at defense tech company, Prior EA experience at national security company, Prior EA experience at government-adjacent company, Clearance eligibility, Willingness to be sponsored for clearance, Familiarity with classified visit logistics, DC-area network, Familiarity with government-facing work rhythms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "EXECUTIVE ASSISTANT TO THE CEO ABOUT LUMBRA Lumbra builds the vendor-neutral operating system for agentic AI in high-consequence environments. In our first ten months we won four fully competed prime contracts across the U.S. Government, every one of them deploying into classified spaces. We are live on JWICS. We were selected from a field of 200+ companies for a defense innovation challenge and won it. We beat two established defense primes on the same program and earned the follow-on, now in execution. Our team comes from the CIA unit that planned the bin Laden mission, MIT, frontier AI labs, and Special Operations. ABOUT THE ROLE Aaron operates across an unusually broad surface: classified customer meetings inside the IC and DoD, partnerships with frontier AI labs and primes, board and investor relationships, conference panels, and the daily operating cadence of a fast-scaling defense tech company. We need an Executive Assistant who can hold that surface together — treat executive support as a craft, sit in on extraordinary meetings and earn the discretion that comes with them, and own parts of the company most EAs never touch. Aaron’s office runs on you. WHAT YOU’LL OWN - Own the CEO’s calendar, inbox, travel, and operating rhythm — the constant prioritization work that keeps the most consequential meetings from being squeezed by the loudest ones. - Prepare the CEO for meetings across USG principals, IC and DoD customers, primes, investors, frontier-lab partners, and recruits: briefing packets, pre-reads, and the situational context that turns a 30-minute meeting into a productive one. - Coordinate classified and customer-site logistics: visit requests, secure travel, base access, SCIF visit coordination, and the operational discipline that ensures the CEO arrives ready. - Handle sensitive information and communications with founder-level discretion: investor updates, board materials, personnel matters, and the steady flow of context running through a CEO’s office. - Take ownership of executive-function projects that don’t belong to any single team: event logistics, offsite planning, conference coordination, partnership follow-through. - Support board prep, investor relations, and external communications, partnering with leadership to keep the CEO’s external-facing work clean. YOU’LL WORK ALONGSIDE CIA officers, MIT engineers, Special Operations combat vets, and applied AI engineers from frontier labs like Anthropic and Google. You’ll make decisions that immediately affect national security. You’ll own part of a company early and when it matters. THIS ROLE IS NOT FOR Someone looking for a 9-to-5, someone who needs constant direction, or someone uncomfortable holding information they cannot share with anyone. PREFERRED QUALIFICATIONS - Prior EA experience at a defense tech, national security, or government-adjacent company - Clearance eligibility (no disqualifying factors), with willingness to be sponsored if needed - Familiarity with classified visit logistics (visit requests, base access, SCIF coordination) - DC-area network and familiarity with the rhythms of government-facing work MUST-HAVES - 5+ years as an Executive Assistant supporting a CEO, founder, or comparable senior principal - Experience interfacing with senior external stakeholders (government, military, board, investors, or executive-level partners) - Polished written and verbal communication - Demonstrated discretion at the founder/CEO level - U.S. citizenship - Based in the National Capital Region BENEFITS - Comprehensive medical, dental, and vision plans - Premiums 100% covered by Lumbra for all employees - Exceptionally low premiums for spouses and dependents - Basic life insurance and disability 100% covered for all employees by Lumbra - Option to purchase additional life insurance available - Take the time off that you need, when you need it' paid time off, not accrual based - Generous company holiday calendar including a holiday shutdown in December - Supportive leave of absence program including time off for military service, medical events, and parental leave - Full 401(k) retirement plan for all full-time eligible employees - Company-funded commuter benefits - Free access to on-site gym at office", "summaryDescription" : "Executive Assistant to the CEO at LUMBRA. 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As Executive Assistant to the CTO, you will be the operational backbone that allows our technology leadership to focus on what matters most: building world-class products and leading a high-performing team. This is not a passive coordination role. You will own the CTO's time, information flow, and key administrative processes with full autonomy, from structuring a complex international agenda to ensuring invoices are tracked and events run seamlessly. Your ability to anticipate needs, move fast, and exercise good judgment will directly amplify the impact of NC's technology leadership. This is a unique opportunity to work at the intersection of cutting-edge AI and engineering, with close proximity to the executive team in a Series C company where your contribution is visible every day. WHAT YOU WILL DO - Own the CTO's calendar end-to-end: Proactively manage scheduling across time zones, prioritise requests, resolve conflicts, and protect focus time. Coordinate with internal teams (Engineering, Product, Sales) and external stakeholders to ensure meetings are well-prepared and purposeful. - Plan and coordinate events: Lead the logistics of internal and external events involving the CTO, including team offsites, conferences, customer visits, and speaking engagements. Handle travel bookings, venue coordination, and on-the-day execution. - Manage administrative and financial tasks: Process and track invoices, expense reports, and purchase orders related to the CTO's scope. Liaise with Finance to ensure timely approvals and accurate record-keeping. - Prepare and organise key communications: Draft emails, meeting agendas, briefing notes, and follow-up summaries on behalf of the CTO. Ensure the right information reaches the right people at the right time. - Act as the CTO's operational partner: Proactively identify and solve logistical or administrative bottlenecks before they arise. Handle ad hoc requests with speed and discretion, adapting to shifting priorities in a fast-moving environment. WHO YOU ARE - 3+ years of experience as an Executive Assistant, Personal Assistant, or Chief of Staff, ideally supporting a C-level or senior leader in a tech or scale-up environment. - Proven track record of managing complex, multi-timezone calendars with full autonomy. - Demonstrated experience handling administrative financial tasks: invoice processing, expense management, vendor coordination. - Hands-on experience planning and coordinating professional events (internal offsites, client events, or conferences). - Proficient with productivity and scheduling tools: Google Workspace (Gmail, Calendar, Meet), Slack, Notion or equivalent. - Excellent written and verbal communication in English; French is a strong plus. - Highly organised, detail-oriented, and able to manage competing priorities without losing the big picture. - Discreet, trustworthy, and comfortable handling confidential information. - Genuinely autonomous: you don't wait to be told what to do; you anticipate, act, and follow through. - Nice to have: experience in a B2B SaaS, deep-tech, or engineering software company. WHAT YOU GET - Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. - Benefit from a competitive salary and rewarding opportunities as we continue to scale. - Thrive in a collaborative, multicultural environment where your work is visible and recognized. - Develop professionally alongside talented colleagues who share knowledge freely and support one another. - Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. - Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.", "summaryDescription" : "Executive Assistant to the CTO at Neural Concept. Skills: Calendar management, Event planning, Administrative tasks. Manage CTO's calendar. 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Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. 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Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-15T21:31:38.376", "lastUpdated" : "2026-06-16T04:35:28.813", "ingestTimestamp" : "2026-06-15T21:31:38.376", "mongoId" : "6a304f24f292fd229cee57da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305d27f292fd229cf64ca3", "title" : "Director, Commercial Data & Analytics", "salary" : { "min" : 215000.0, "max" : 315000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Commercial Data & Analytics in Pittsburgh, United States, adjusted for seniority, industry, and company size." }, "location" : "Pittsburgh, PA", "locations" : [ "Pittsburgh, PA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:58:26.775", "fingerprint" : "239b5d13a9f8ad2325e126312ec6ec2c468be2128cf124c0378a15ccef164f44", "source" : "jazzhr", "language" : "en", "externalId" : "q2hVx07RFr", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Strategic planning", "Team leadership" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Machine learning modeling", "Statistical modeling", "ETL processes", "Data warehousing", "Cloud data services", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud data services", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Lead commercial data and analytics initiatives, Develop and implement data strategies, Oversee data science and analytics teams, Build and maintain data pipelines, Develop predictive models, Create insightful dashboards and reports, Collaborate with business stakeholders, Drive data-driven decision-making", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Commercial analytics; Sales data; Marketing data; Customer data", "domainList" : [ "commercial-analytics", "sales-data", "marketing-data", "customer-data" ], "domainSpecificKnowledge" : [ "Commercial analytics", "Sales data", "Marketing data", "Customer data" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Executive presentations; Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data analysis; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data and analytics, Bachelor's degree in a quantitative field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Director, Commercial Data & Analytics. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Lead commercial data and analytics initiatives. 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Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145b74d8ee00a00bb5de", "title" : "Software Development Engineer, Open Data Analytics", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 168100.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T03:40:49.068", "fingerprint" : "a099c97896af72639b9a5b28db5265e583b0685b66ae05fad3d088a3fa03bf15", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440874/apply", "externalId" : "052d7e0c-e27b-4b2f-94dc-1f41c9bcd966", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Apache Spark, Apache Iceberg, Apache Hudi, Delta Lake, AWS, EMR, Athena, S3, EC2", "professionalSkills" : [ "System design", "Performance optimization", "Scalability improvements", "Feature enhancements", "Security hardening", "Data consistency", "Data durability", "Automation capabilities", "Testing capabilities", "Project management", "Research projects" ], "hardSkillsList" : [ "Query engine development", "Table format integration", "Compiler development", "Optimizer development", "Runtime development", "Storage connector development" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Query engine development", "level" : "intermediate" }, { "name" : "Table format integration", "level" : "intermediate" }, { "name" : "Compiler development", "level" : "intermediate" }, { "name" : "Optimizer development", "level" : "intermediate" }, { "name" : "Runtime development", "level" : "intermediate" }, { "name" : "Storage connector development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Query engines, Table formats, Data analytics, Open source", "majorSkillsList" : [ "Query engines", "Table formats", "Data analytics", "Open source" ], "coreResponsibilities" : "Develop core components, Optimize core components, Enhance performance, Enhance scalability, Enhance reliability, Design innovative solutions, Implement innovative solutions, Improve feature capabilities, Improve stability, Improve security, Collaborate with open-source community, Contribute to discussions, Drive improvements, Integrate upstream changes, Ensure data consistency, Ensure data durability, Achieve breakthrough performance, Achieve breakthrough scalability, Improve automation capabilities, Improve testing capabilities, Manage complex deliverables, Manage research projects, Mentor team members, Train team members, Be a point of contact, Solve challenging technical problems, Design software solutions, Implement software solutions, Test software solutions, Deploy software solutions, Maintain software solutions, Transform service performance, Transform service durability, Transform service cost, Transform service security, Build high-quality products, Build highly available products, Build always-on products, Research implementations, Create metrics, Implement automation, Resolve root cause of defects, Build high-impact solutions, Participate in design discussions, Participate in code review, Communicate with stakeholders, Work cross-functionally, Drive business decisions", "teamCollaboration" : "Cross-functional teams; Internal teams; Open-source community", "projectManagementSkills" : [ "Project management", "Research projects" ], "domainKnowledge" : "Big Data processing; Open table formats; Query engines; Serverless environments; Distributed systems", "domainList" : [ "big-data-processing", "open-table-formats", "query-engines", "serverless-environments", "distributed-systems" ], "domainSpecificKnowledge" : [ "Big Data processing", "Open table formats", "Query engines", "Serverless environments", "Distributed systems" ], "toolProficiency" : [ "Apache Spark", "Apache Iceberg", "Apache Hudi", "Delta Lake" ], "communicationSkills" : "Technical input", "innovationCreativity" : "Driving innovations; Innovative solutions; Innovations", "problemSolvingSkills" : "Solve challenging technical problems; Root cause analysis", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team", "qualificationsPreferred" : "5+ years full software development lifecycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world’s best cloud Big Data processing platform and services such as EMR and Athena. The ODA engines team is looking for an experienced engineer to join the core engines and datalake team. Athena and EMR are services that our customer use to run large scale analytics, leveraging open source engines like Apache Spark and Trino, with datalake open table formats like Apache Iceberg, Hudi and Delta. The analytics engines organization makes significant modifications to these engines to run in serverless environments and with superior performance and scalability than what is available in Open Source. In the last 3 years we have improved our engines by a factor of 5x by making changes to the optimizer, query runtime and storage connectors. We have also made significant changes to the compiler to enable enterprise features like fine grain access control with these engines and table formats. Additionally, we strive to regularly contribute features, bug fixes and optimizations back to open-source, as well be current with the latest open-source versions of these frameworks. This is a “must-win” strategic area in a growing and very technical space. We are seeking a passionate and hands-on engineer to collaborate closely with open-source communities like Apache Iceberg and Apache Spark, driving innovations in query engines and table format integrations. In this role, you will focus on performance optimizations, feature enhancements, stability improvements, and security hardening, making deep contributions across the query engine and table format codebases. As a key member of the Engines team, you will shape the technical direction, influence design decisions, implement critical features, and foster collaboration with both internal teams and the open-source community. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities • Develop and optimize core components of query engines and open table formats (Iceberg, Hudi, Delta) to enhance performance, scalability, and reliability. • Design and implement innovative solutions and algorithms to improve feature capabilities, stability, and security in table format integrations with query engines. • Collaborate with the open-source community, contributing to discussions, driving improvements, and integrating upstream changes. • Ensure data consistency and durability while achieving breakthrough performance and scalability for large-scale data lake workloads. • Improve the organizations automation and testing capabilities. • Manage complex deliverables project and research projects with deadlines. • Mentor and train other team members on design techniques and coding best practices. • Be a point of contact for challenging customer issues related to data lake workloads and query engine. Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in the life A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you’re always working on the most important stuff. About the team ABOUT AWS: 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. 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. 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. 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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Open Data Analytics at Amazon Development Center U.S., Inc.. Skills: Query engines, Table formats, Data analytics, Open source. Develop core components. Optimize core components", "postedDate" : "2026-06-13T11:16:24.589", "createdAt" : "2026-06-13T11:16:24.589", "lastUpdated" : "2026-06-15T03:40:49.068", "ingestTimestamp" : "2026-06-13T11:16:24.589", "mongoId" : "6a25145b74d8ee00a00bb5de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440874/apply", "salaryAnnualMin" : 168100, "salaryAnnualMax" : 227400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Query engine development", "Table format integration", "Compiler development", "Optimizer development", "Runtime development", "Storage connector development", "Leadership", "Mentoring", "Query engines", "Table formats", "Data analytics", "Open source", "System design", "Performance optimization", "Scalability improvements", "Feature enhancements", "Security hardening", "Data consistency", "Data durability", "Automation capabilities", "Testing capabilities", "Project management", "Research projects", "Big Data processing", "Open table formats", "Serverless environments", "Distributed systems", "Apache Spark", "Apache Iceberg", "Apache Hudi", "Delta Lake" ], "skillCount" : 31, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2ca0f974d8ee00a09a3f3b", "title" : "Executive Assistant to the President and Chief Operating Officer", "company" : "Inovalon", "industry" : "1001 - Executive Management", "salary" : { "min" : 125000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline adjusted for executive seniority, senior experience, and the healthcare industry in the United States." }, "location" : "BU: Corporate", "locations" : [ "BU: Corporate" ], "timestamp" : "2026-06-15T11:44:27.057", "fingerprint" : "4b7749d95ee8177edff1ed45e0a45b932119a2f08e30e68c8088539c391cda27", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/inovalon/5e48017b-bd01-4217-8fd6-0b564585aad4/application", "externalId" : "5e48017b-bd01-4217-8fd6-0b564585aad4", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Office Suite, PowerPoint, Excel", "professionalSkills" : [ "Operational excellence", "Executive project management", "Process improvement" ], "hardSkillsList" : [ "Executive support", "Calendar management", "Travel coordination", "Meeting planning", "Expense reporting", "Document management", "Contract routing" ], "softSkillsList" : [ "Relationship-oriented", "Flexibility", "Resourceful", "Solutions-focused" ], "hardSkills" : [ { "name" : "Executive support", "level" : "intermediate" }, { "name" : "Calendar management", "level" : "intermediate" }, { "name" : "Travel coordination", "level" : "intermediate" }, { "name" : "Meeting planning", "level" : "intermediate" }, { "name" : "Expense reporting", "level" : "intermediate" }, { "name" : "Document management", "level" : "intermediate" }, { "name" : "Contract routing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Relationship-oriented" }, { "name" : "Flexibility" }, { "name" : "Resourceful" }, { "name" : "Solutions-focused" } ], "majorSkills" : "Executive support, Operational leadership, Presentation development, Communication", "majorSkillsList" : [ "Executive support", "Operational leadership", "Presentation development", "Communication" ], "coreResponsibilities" : "Serve as primary partner, Anticipate needs, Manage priorities, Ensure seamless operations, Drive follow-through on decisions, Drive follow-through on action items, Drive follow-through on projects, Ensure clarity, Ensure accountability, Ensure timely execution, Act as extension of President, Create high-quality presentations, Create reports, Create executive team materials, Create board-level materials, Draft executive communications, Draft talking points, Draft internal updates, Manage complex calendars, Prioritize scheduling needs, Coordinate travel itineraries, Coordinate accommodations, Coordinate detailed briefings, Plan internal meetings, Plan external meetings, Execute internal events, Execute external events, Oversee administrative activities, Serve as point of contact, Refine administrative processes, Improve administrative processes, Refine operational processes, Improve operational processes", "teamCollaboration" : "Key connector across executive team; Coordination across teams; Internal partners; External partners", "projectManagementSkills" : [ "Project management" ], "toolProficiency" : [ "Microsoft Office", "PowerPoint", "Excel" ], "communicationSkills" : "Executive communications; Board-level materials; Executive team materials", "specialRequirements" : "Not eligible for immigration sponsorship", "outcomesObjectives" : "Ensure priorities remain aligned; Ensure timelines are met; Ensure team leaders stay on course; Elevate President's impact; Elevate COO's impact", "qualificationsBasic" : "Bachelor's degree or equivalent, 7+ years supporting senior executives, Advanced Microsoft Office Suite proficiency, Exceptional organization skills, Project management skills, Prioritization skills, Excellent written communication skills, Excellent verbal communication skills, Ability to work strategically, Comfortable with detailed execution, Authorized to work in US", "qualificationsPreferred" : "Skill based experience equivalent to Bachelor's", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary We are seeking a highly skilled, proactive, and operationally minded Executive Assistant to support the President Chief Operating Officer (COO) and serve as a key connector across the executive leadership team. This role is designed for a strategic, detail‑oriented professional who will be responsible for creating order, driving operational excellence, and ensuring priorities remain aligned, timelines are met and team leaders stay on course. The ideal candidate thrives in a fast‑paced environment, has exceptional communication and organizational skills, and is equally comfortable handling high‑level executive projects and day‑to‑day administrative tasks. Approaches work with a hands-on mindset and a strong sense of ownership, regardless of scope or complexity. Executive Support & Operational Leadership - Serve as the primary partner to the President and COO, anticipating needs, managing priorities, and ensuring seamless day‑to‑day operations. - Drive follow‑through on decisions, action items, and projects to ensure clarity, accountability, and timely execution. - Can act as an extension of the President and COO in meetings and communications for coordination across teams. Presentation Development & Communication - Create high‑quality presentations, reports, executive team and board‑level materials that clearly communicate complex information. PowerPoint and Excel at a minimum. - Draft executive communications, talking points, and internal updates as needed. Calendar, Travel & Logistics Management - Manage complex, dynamic calendars and prioritize scheduling needs for the President and COO. - Coordinate travel itineraries, accommodations, and detailed briefings to ensure smooth logistics. - Plan and execute internal and external meetings, events, and engagements. Administrative Excellence - Oversee traditional executive administrative activities, including expense reports, document management, and contract routing. - Serve as the point of contact for internal and external partners on behalf of the CPO. - Continuously refine and improve administrative and operational processes. Qualifications - Bachelor’s degree or equivalent skill based experience. - 7+ years of experience supporting senior executives; - Exceptional organization, project management, and prioritization skills. - Advanced proficiency in Microsoft Office Suite, especially PowerPoint and Excel. - Strong judgment, discretion, and the ability to handle confidential information. This cannot be overstated. - Excellent written and verbal communication skills. - Proven ability to work both strategically and tactically; comfortable switching between big‑picture thinking and detailed execution. - Passion for operational excellence and continuous improvement. Personal Attributes - Highly proactive—always one step ahead. - Collaborative, relationship‑oriented, and able to influence without authority. - Calm under pressure and adaptable to shifting priorities. Leads with accountability and a willingness to engage wherever needed to drive results. - Exhibits flexibility and commitment by engaging in both strategic and operational work to meet organizational needs. - Resourceful, solutions‑focused, and committed to elevating the President and COO’s impact on the organization. This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link https://postings.govdocs.com/#/8sZXnFNWk3KYs3F To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link https://www.inovalon.com/privacy-policy/", "summaryDescription" : "Executive Assistant to the President and Chief Operating Officer at Inovalon. Skills: Executive support, Operational leadership, Presentation development, Communication. Serve as primary partner. 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false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abdf292fd229cf54f53", "title" : "Senior International Capability Development Subject Matter Expert (SME)", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior International Capability Development SME in Tampa, USA, adjusted for seniority and full-time employment." }, "location" : "Tampa, FL", "locations" : [ "Tampa, FL" ], "timestamp" : "2026-06-16T08:32:37.657", "fingerprint" : "42310ee9a003b6c843853cbac6026ca3a46ad3192dce7a2605a7b932e9c1063d", "source" : "jazzhr", "language" : "en", "externalId" : "ukPOdlhIZl", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", 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"USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:28:48.325", "fingerprint" : "15009b0557edbb13d8878c332809bcc4fd98d0daac11b375a51b7d0dd874df71", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://tarsusrx.com/careers?gh_jid=6030918004", "externalId" : "6030918004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "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, Hugging Face, MLflow, AWS, SageMaker, Vertex AI, Azure ML", "professionalSkills" : [ "Quantitative analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data science models, Build and maintain data pipelines, Design and execute A/B tests, Create and maintain BI dashboards, Collaborate with cross-functional teams, Provide analytical insights, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. 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This isn’t about selling a tool; it’s about helping customers establish a shared data foundation with best-in-class analytics that drives consistent improvement and confident decision-making end to end. As a Minitab sales professional, you’ll work with growing manufacturers at every stage of their digital transformation maturity level. Some are just beginning their data journey and need simple, practical ways to collect and understand their data. Others are ready for more advanced capabilities like statistical process control (SPC) and process digital twins to drive true operational excellence. Our portfolio allows you to land where they are today and expand as they grow, creating long-term customer value and repeatable sales success. You’ll be backed by a globally respected brand and solutions trusted by manufacturers around the world for the last 50 years. Minitab continues to be the partner of choice because we make advanced analytics accessible, scalable, and relevant to real manufacturing challenges, not theoretical ones. If you’re a mid-market seller who wants to lead value-based conversations, build lasting customer relationships, and sell solutions that manufacturers genuinely rely on, Minitab offers a career with impact, credibility, and growth. What You’ll Be Doing Own and execute a new business sales strategy for the mid-market segment across the Chinese market Identify, qualify, and close net-new customer opportunities Proactively prospect and engage senior stakeholders within manufacturing organisations, understanding their business challenges and positioning Minitab as a strategic solution Lead the full sales cycle, including discovery, solution positioning, product demonstrations, negotiation, and closing Build and manage a strong pipeline of new logo opportunities, maintaining accurate forecasting and CRM hygiene Work closely with internal pre-sales, marketing, and services teams in a virtual team-selling environment Gather and share competitive and market intelligence to continuously sharpen positioning within the territory Represent Minitab at customer meetings, industry events, and partner engagements across the region What We’re Looking For Proven hunter mentality — proactive, self-starting, and motivated by winning new business Strong experience selling B2B software or technology solutions into the manufacturing industry Ability to work independently, manage your own territory, and prioritise effectively in a fast-paced environment Comfortable with frequent travel (up to 60%) across the region Confident engaging with executive, technical, and business stakeholders Consultative selling approach with strong negotiation and closing skills Language Requirements Fluent Mandarin (native or business-native level) Excellent English communication skills (written and verbal) Experience & Background 3+ years of successful B2B sales experience, ideally in technology, analytics, or enterprise software. Track record of consistently achieving or exceeding sales targets (100%+ of quota) Experience managing mid-market accounts and closing deals. Exposure to business intelligence, analytics, or statistical software is a plus Why Join Minitab? High-impact role with clear ownership of new business growth Opportunity to build and shape a key market for the business Collaborative, international sales environment with strong enablement and support Competitive compensation and career growth opportunities within a global organisation", "summaryDescription" : "Account Executive (Data Analytics) at Minitab. Skills: New business sales, Mid-market segment sales, Data analytics sales. Own and execute new business sales strategy. Identify, qualify, and close net-new customer opportunities", "postedDate" : "2026-06-14T20:08:22.841", "createdAt" : "2026-06-14T20:08:22.841", "lastUpdated" : "2026-06-16T02:57:07.762", "ingestTimestamp" : "2026-06-14T20:08:22.841", "mongoId" : "6a2c911f74d8ee00a0982093", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Consultative selling", "Negotiation", "Closing skills", "New business sales", "Mid-market segment sales", "Data analytics sales", "Value-based conversations", "Territory management", "Forecasting", "CRM hygiene", "Data analytics", "Manufacturing operations", "Digital transformation", "CRM" ], "skillCount" : 14, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca42974d8ee00a09b06c1", "title" : "Senior Data / Analytics Engineer", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:08:33.890", "fingerprint" : "c7d74f7b3f5b9e144d0e12e1191ebf69a4b087a5101032152837ca84c9251e4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4249713009", "externalId" : "4249713009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "workMode" : "remote" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Statistical modeling" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series forecasting", "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" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay updated with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with specific ML frameworks, Experience with cloud platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Location: NYC preferred or Remote | Full-time Experience: 5-8+ years in analytics engineering, modern data stack architecture, or data platform engineering Compensation: $150,000 DOE + bonus About Us Metro Vein Centers is a rapidly expanding healthcare organization with 70+ clinics across 8 states. We are a highly data-driven business operating at the intersection of healthcare, performance marketing, operations, and technology. As the organization has scaled rapidly, so has the complexity of our data ecosystem. We are now entering the next phase of maturity: building a scalable, governed, AI-ready data foundation that can support the future growth of the business. We are looking for a Senior Analytics Engineer to help lead that evolution. About the Role This is a foundational role within the Tech & Data organization, reporting directly to the Director of Tech & Data. You will help modernize and scale our data architecture across marketing, operations, finance, sales, and clinical systems while maintaining continuity for existing reporting, analytics, and business operations. This role is ideal for someone who thrives in high-growth environments and enjoys bringing structure, reliability, governance, and scalability to complex and evolving data ecosystems. You will play a central role in rebuilding and organizing our data foundation, establishing standards and architecture patterns, improving transformation and modeling practices, and helping create a modern healthcare data platform designed for long-term scale and AI-enabled workflows. This is not a pure backend engineering role. We are looking for someone who combines strong analytics engineering and warehouse architecture experience with practical business judgment and modern data stack expertise. What You’ll Own Data Architecture & Modernization Help design and implement a scalable modern data architecture within Google BigQuery Rebuild and organize fragmented data structures into standardized, maintainable models Establish naming conventions, modeling standards, lineage, and governance frameworks Help separate and structure sensitive vs non-sensitive data appropriately in a HIPAA-conscious environment Partner with leadership to define long-term warehouse and transformation architecture strategy Improve scalability and maintainability without disrupting existing business operations Analytics Engineering & Data Modeling Own and expand our dbt transformation layer and modeling practices Build clean, scalable transformation pipelines and business logic layers Create reliable curated datasets for analytics, reporting, operational workflows, and AI initiatives Standardize KPI logic and reduce duplicated transformation logic across systems Develop testing, QA, and documentation standards for data models and pipelines Improve data quality, observability, and reliability across the warehouse Data Pipelines & Platform Operations Build, maintain, and optimize ingestion and transformation pipelines across internal and third-party systems Work across platforms including: Google BigQuery dbt Fivetran Portable Improvado HubSpot Tableau Google Cloud Platform Troubleshoot pipeline failures, schema drift, integration issues, and data discrepancies Improve monitoring, documentation, and operational stability across the data stack AI-Ready Data Infrastructure Help build structured, reliable, AI-ready datasets and systems Partner with Tech & Data leadership on long-term AI infrastructure readiness Support future AI-enabled workflows, automation initiatives, and operational tooling Contribute to scalable data design practices that support evolving AI use cases across the business Cross-Functional Collaboration Partner closely with analysts, marketing, operations, finance, and technology stakeholders Support analysts by improving foundational data models and reducing engineering burden on analytics resources Collaborate with IT and leadership on governance, access, and long-term platform maturity Participate in architectural planning and technical roadmap discussions What You Bring Required Experience 5-8+ years in analytics engineering, data engineering, or modern data stack environments Strong expertise in SQL and warehouse-based data transformation workflows Hands-on experience with dbt and modern ETL workflows Deep experience working within Google BigQuery or comparable cloud data warehouses Proficiency with SFTP-based file transfer workflows, including key-based authentication, scheduled transfers, and error handling Experience designing scalable data models and transformation layers Experience working with complex operational and business systems data Strong understanding of data governance, documentation, testing, and QA practices Experience building and maintaining production-grade data pipelines Strong systems thinking and architectural judgment Ability to balance long-term architecture improvements with short-term operational stability Preferred Experience Experience with: Fivetran Portable Improvado Tableau HubSpot Google Cloud Platform Experience in healthcare or HIPAA-conscious environments Experience supporting marketing, operational, or revenue-focused analytics ecosystems Familiarity with AI-enabled data workflows and AI-ready platform design Experience helping mature or rebuild fragmented data environments Familiarity with Jira and collaborative technical project management workflows What Success Looks Like Within 12 months, this person will have helped: Establish scalable architecture and modeling standards across the warehouse Mature and expand the dbt transformation layer Improve documentation, lineage, governance, and data reliability Organize fragmented datasets into scalable, maintainable structures Improve separation and governance of sensitive vs non-sensitive data Reduce operational friction and engineering burden across the analytics ecosystem Build a more scalable and AI-ready data foundation for the future growth of the organization What We Offer Competitive compensation and bonus structure High ownership and autonomy Opportunity to help shape the long-term data architecture of a rapidly scaling organization Smart, collaborative, highly driven teammates Direct impact on operational performance, growth, and patient experience Opportunity to help build the next generation of healthcare data infrastructure and AI enablement at scale Benefits to Support Your Wellbeing & Lifestyle Full-time team members at Metro Vein Centers are eligible for: Medical, Dental, and Vision Insurance 401(k) Paid Time Off (PTO) + Paid Company Holidays Company-Paid Life Insurance Short-Term Disability Insurance Employee Assistance Program (EAP) Career Growth & Development Opportunities Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $150,000—$150,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Senior Data / Analytics Engineer at Metro Vein Centers. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:23.010", "createdAt" : "2026-06-14T19:16:23.010", "lastUpdated" : "2026-06-16T00:08:33.890", "ingestTimestamp" : "2026-06-14T19:16:23.010", "mongoId" : "6a2ca42974d8ee00a09b06c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Data science", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7add74d8ee00a09471fe", "title" : "Intermediate Data Analytics", "company" : "AB InBev", "industry" : "Food & Beverage", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics roles in Brazil, adjusted for mid-seniority, the food & beverage industry, and the city tier of Campinas." }, "location" : "Campinas, São Paulo, Brazil", "locations" : [ "Campinas", "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T09:49:44.024", "fingerprint" : "2d47a7e473887ca103d16b45a16c152f654f1acf2b8936fce924b05d0a2c98ee", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/abinbev/jobs/8590377002", "externalId" : "8590377002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Campinas", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-22.9056391,-47.0595640" } ], "locationText" : "Campinas, São Paulo, Brazil", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, DAX, Power BI", "professionalSkills" : [ "Data modeling", "Data visualization", "User-centric design", "Business strategies", "Ad hoc analysis", "Critical thinking" ], "hardSkillsList" : [ "Statistical analysis", "Data storytelling" ], "softSkillsList" : [ "Storytelling", "Resilient", "Strategic thinking" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data storytelling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Resilient" }, { "name" : "Strategic thinking" } ], "majorSkills" : "Data Analytics, Business Intelligence, Power BI, SQL", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Power BI", "SQL" ], "coreResponsibilities" : "Design BI solutions, Model BI solutions, Maintain BI solutions, Query large datasets, Clean large datasets, Analyze large datasets, Transform findings into narratives, Apply data visualization best practices, Apply user-centric design, Deliver actionable dashboards, Deliver actionable reports, Collaborate with international teams, Partner with stakeholders, Deliver insights, Solve business challenges, Solve data challenges, Identify trends, Identify root causes, Identify opportunities", "teamCollaboration" : "International teams; Cross-functional stakeholders; Cross-functional teams", "domainKnowledge" : "BEES Personalization", "domainList" : [ "bees-personalization" ], "domainSpecificKnowledge" : [ "BEES Personalization" ], "toolProficiency" : [ "Power BI", "SQL" ], "communicationSkills" : "English communication; Explain complex concepts", "problemSolvingSkills" : "Root cause analysis; Data exploration", "outcomesObjectives" : "Drive business decision-making; Support informed decision-making", "qualificationsBasic" : "BAS/MS in Math, BAS/MS in Economics, BAS/MS in Statistics, BAS/MS in Engineering, BAS/MS in Computer Science, Advanced knowledge of Power BI, Advanced expertise in SQL, Intermediate English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "rawDescription" : "About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you'll do: Design, model, and maintain end-to-end BI solutions in Power BI, including data modeling, DAX calculations, report building, and interactive dashboards that drive business decision-making. Use SQL to query, clean, and analyze large datasets, ensuring accuracy and reliability of the data used in reporting. Transform analytical findings into compelling narratives that connect data insights with business strategies for both technical and non-technical stakeholders. Apply best practices in data visualization and user-centric design to deliver impactful, intuitive, and actionable dashboards and reports. Collaborate with international teams as part of a global project, leveraging advanced English communication skills to ensure alignment, standardization, and knowledge sharing across regions. Partner with cross-functional stakeholders to deliver high-quality, actionable insights under tight deadlines with a proactive and solution-oriented mindset. Solve complex business and data challenges through ad hoc analysis, identifying trends, root causes, and opportunities by combining data exploration, critical thinking, and business context to support informed decision-making. What you'll need: BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other related quantitative field. Advanced knowledge of Power BI (data modeling, DAX, report building, and dashboard design). Advanced expertise in SQL for querying and data preparation. Intermediate English (spoken and written) to effectively communicate insights with international stakeholders. Knowledge of statistics and statistical analysis techniques. Strong skills in data storytelling: ability to craft clear narratives that connect data insights to business strategy, ensuring stakeholders easily understand and act on the information. Understanding of data visualization best practices, design principles, and user-centric dashboards. Ability to translate complex datasets into insightful, visually compelling, and actionable reports. Organized and detail-oriented, capable of delivering under tight timelines while ensuring quality. Proactive, solution-oriented mindset with strong collaboration skills to work across cross-functional teams. More about you: Communication skills, with the ability to explain complex concepts clearly to both technical and non-technical audiences. Storytelling mindset, connecting data insights to business impact compellingly. Collaborative approach, working effectively with cross-functional and international teams while building trust and alignment. Detail-oriented, ensuring accuracy, reliability, and high-quality standards in all deliverables. Adaptable and resilient, comfortable managing tight deadlines and shifting priorities. Strategic thinking, always connecting insights to business outcomes and long-term goals. What We Offer: Performance-based bonus* Attendance Bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.com", "summaryDescription" : "Intermediate Data Analytics at AB InBev. Skills: Data Analytics, Business Intelligence, Power BI, SQL. Design BI solutions. Model BI solutions", "postedDate" : "2026-06-13T22:22:35.444", "createdAt" : "2026-06-13T22:22:35.444", "lastUpdated" : "2026-06-15T09:49:44.024", "ingestTimestamp" : "2026-06-13T22:22:35.444", "mongoId" : "6a2c7add74d8ee00a09471fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data storytelling", "Storytelling", "Resilient", "Strategic thinking", "Data Analytics", "Business Intelligence", "Power BI", "SQL", "Data modeling", "Data visualization", "User-centric design", "Business strategies", "Ad hoc analysis", "Critical thinking", "BEES Personalization" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309104f292fd229c0ba247", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsanet", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T10:53:17.993", "fingerprint" : "e930f3b3815cba77dedd0cb72cf16ed0c2294a10c5830ade19169993f2fb887e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itcss/jobs/6030919004", "externalId" : "6030919004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Hi Tarsan! Thanks for your interest in this position. Please review the details and if role and if it's something that could match your career goals, connect with your current manager and HRBP to discuss if your experience and skills line up. If everything is a go, please apply and the Talent Acquisition team will contact you for an interview so we can also get to know you better. - Your Human Resources Team About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. 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Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

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Are you looking for a launchpad to a prominent role within a major state agency? The Texas Workforce Commission is seeking a highly motivated and adaptable individual to join our Executive team as a Special Assistant to the Executive Director. As Special Assistant, you will gain invaluable experience in a fast-paced and rewarding environment, with the expectation of growing into a new role within another TWC division in 2-4 years. The selected candidate will work on-site Monday - Friday, at 101 E. 15th St., Austin, TX 78778. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO WE ARE: TWC has a noble public service mission: we connect people with careers all over the state. While our headquarters are in Austin, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This is a unique role for someone seeking a challenging position with significant growth potential. The Special Assistant will be a key part of the Executive office, providing direct support to the Executive Director. WHO YOU ARE: An ambitious and service-oriented professional who possesses a strong work ethic, unwavering integrity, and a drive to excel. You thrive in a fast-paced environment and are highly adaptable and flexible, willing to be accessible and assist in off-hours when needed. You are a self-starting, motivated, collaborative problem solver who understands the value of exceptional customer service and discretion. You see this Special Assistant role not just as a job, but as a unique stepping-stone – a launchpad to a prominent role within another division of the Texas Workforce Commission in approximately 2-4 years. WHAT YOU WILL DO: - Provide a wide variety of high-level administrative support to an executive. - Manage office workloads and the day-to-day activities of the executive office. - Assist with strategic initiatives and special projects. - Contribute to the ongoing improvement of executive office processes. YOU WILL BE TRUSTED TO: - Manage the executive's calendar, schedule meetings, and coordinate travel arrangements. - Prepare and edit correspondence, reports, presentations, and other documents with accuracy and attention to detail. - Serve as a primary point of contact for internal and external stakeholders. - Assist the executive with research and general information gathering. - Attend meetings in support of the executive as needed. - Perform other duties as assigned. YOU QUALIFY WITH: - Two years of full-time experience in a responsible position which provided thorough knowledge of agency programs and services; business management practices, clerical administration, and procedures; or experience in organizing and coordinating support services or program operations which included analyzing work problems and interpreting complex policies and procedures. - Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: - Exceptional Communication: You communicate effectively, both verbally and in writing, with individuals at all levels. You are also social media savvy, capable of managing a professional presence (like drafting LinkedIn articles or handling retweets) and coordinating with the Communications team on official agency messaging. - Organized and Efficient: You have strong organizational, time management, and prioritization skills, with a proactive and solution-oriented mindset. - Discreet and Professional: You have a demonstrated ability to maintain confidentiality, exercise discretion, and handle sensitive information with the utmost professionalism. - Proactive and Adaptable: You take initiative, are comfortable working with limited supervision, and are willing to go the extra mile. Bonus Points if you have: - Proven experience supporting senior-level executives. - Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). - Experience with travel booking and expense reporting systems. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $66,000- $72,000/annually - Defined Retirement Benefit Plan. - Optional 401(k) and 457 accounts. - Medical Insurance. - Paid time off, including time for vacation, sick and family care leave. - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Special Assistant to the Executive Director at Texas Workforce Commission. Skills: Executive support, Office management, Project assistance. Provide high-level administrative support. 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Marketing teams; Engineering teams; Stakeholders", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Attribution modeling; Customer lifetime value", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "attribution-modeling", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present insights; Communicate findings", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2492 - Director, Data Science (Marketing Analytics) - UK Role Summary and Impact We are seeking an exceptional Senior Data Scientist to join our Marketing Science team, serving as both a technical leader and hands-on contributor in building advanced activation solutions that drive superior client performance. This role combines strategic leadership responsibilities with deep technical expertise in econometric modelling and predictive analytics. Responsibilities This is a dynamic and compelling role, and the successful candidate will need to demonstrate an ability to manage multiple projects simultaneously. You will develop a close working relationship with various internal and external teams. The objectives of the role are varied and will adapt to the business objectives as we grow. The following areas are key to the successful management and development of the team: Drive technical excellence and innovation in marketing measurement Build and scale team capabilities that enhance expertise in advanced analytics and marketing analytics methodologies Strengthen stakeholder relationships Establish analytical standards and best practices Foster a culture of continuous learning, collaboration, and excellence within the department Responsibilities Leadership and Team Management: Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence Establish team priorities, allocate resources effectively, and ensure delivery of high-quality analytical solutions Develop and implement training programs to enhance team capabilities in advanced analytics and marketing analytics Conduct performance reviews, provide regular feedback, and support career progression planning Build a collaborative, innovation-focused team culture that encourages experimentation and learning Stakeholder Management Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams Translate complex analytical insights into actionable business recommendations and strategic guidance Collaborate with client service teams to scope analytical requirements and deliver solutions that meet business objectives Present high-level insights, recommendations, and innovations to senior stakeholders Cultivate strong relationships with agencies, identifying opportunities for expanded collaboration and business growth Address escalated client concerns and ensure consistent delivery of high-quality solutions Technical Excellence & Data Science Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques Develop predictive models for campaign performance, customer behaviour, and business outcomes Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference Create cross-channel reach and frequency measurement frameworks and attribution models Build automated reporting and monitoring systems for ongoing campaign optimization Oversee the development of innovative data models and analytical frameworks to drive marketing effectiveness Ensure the team stays current with the latest advancements in data science and machine learning relevant to marketing Collaborate with the Marketing Strategists to translate complex data insights into actionable marketing strategies Guide the development of optimisation strategies both independently and in collaboration with WPP Media EMEA team. Innovation & Methodology Development Research and implement new analytical approaches, tools, and methodologies in marketing science Develop proprietary frameworks and best practices for effectiveness measurement and optimization Lead proof-of-concept projects exploring emerging techniques in marketing analytics Establish analytical standards and quality assurance processes across the team Contribute to thought leadership through white papers, industry presentations, and case studies Skills & Experience Advanced expertise in Marketing Mix Modelling (MMM) including media saturation curves, adstock effects, and base vs. incremental decomposition Strong econometrics background with experience in time series analysis, panel data methods, and causal inference Proficiency in predictive modelling using machine learning techniques (regression, tree-based methods, neural networks) Programming expertise in R and/or Python with experience in relevant libraries (e.g., tidyverse, scikit-learn, PyMC3, Stan) Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL) Knowledge of experimental design and A/B testing methodologies Familiarity with marketing measurement frameworks including attribution, incrementality testing, and media optimization Business & Leadership Skills Exceptional communication skills with ability to present complex analyses to non-technical stakeholders Proven experience managing and developing technical teams Strong project management capabilities with experience handling multiple concurrent initiatives Deep understanding of digital marketing ecosystem and media channels Experience working in agency, consulting, or client services environment preferred Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Director, Data Science (Marketing Analytics) at WPP Media. Skills: Data Science, Machine Learning, Data Engineering, Marketing Analytics. Develop and implement advanced statistical and machine learning. 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Stakeholders", "domainKnowledge" : "Cloud data platforms; ML frameworks; BI platforms; Data modelling; Statistical methods", "domainList" : [ "cloud-data-platforms", "ml-frameworks", "bi-platforms", "data-modelling", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data platforms", "ML frameworks", "BI platforms", "Data modelling", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Data Analytics Process Lead Location: Newark, New Jersey Job Type: Full-time (Hybrid (3 days a week in office)) About Us CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking an experienced Data Analytics Process Lead to support data analytics initiatives for a utility customer experience organization. This role will serve as the primary project manager and business liaison for analytics-related initiatives, working closely with program managers, IT, business stakeholders, and analytics resources. The ideal candidate has strong experience leading data-driven projects, gathering business requirements, supporting dashboard and reporting delivery, and translating business needs into practical analytics solutions. This is a senior, business-facing role requiring a strong mix of project management, process improvement, stakeholder communication, and technical analytics experience. The work may include Power BI dashboards, reporting solutions, data lake enhancements, executive reporting, business cases, and coordination across business and technical teams. Key Responsibilities - Serve as the project manager and primary point of contact for client’s data analytics initiatives. - Coordinate activities across program management, IT, analytics teams, business stakeholders, and external vendors. - Lead the planning, execution, monitoring, and delivery of analytics projects, including dashboards, reporting solutions, and data lake-related initiatives. - Develop and maintain project plans, roadmaps, status reports, risk assessments, and executive-level communications. - Facilitate stakeholder workshops and meetings to gather, document, and validate business requirements. - Translate business needs into functional specifications, user stories, data requirements, and analytics development priorities. - Partner with program managers, process leads, and business stakeholders to identify opportunities for data-driven process improvements and operational efficiencies. - Collaborate with IT, data engineering, and analytics teams to support Power BI dashboards, reporting solutions, data models, and data lake enhancements. - Ensure analytics solutions meet business objectives, usability expectations, and enterprise data governance standards. - Develop executive presentations, business cases, and communication materials that summarize project progress, findings, recommendations, business impacts, and analytics insights. - Build strong working relationships across business and technology organizations to support successful delivery. - Lead technical discussions, support analytics best practices, and provide oversight to analytics resources when needed. Qualifications - Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, Finance, or a related discipline. - 7+ years of relevant professional experience in project management, business analysis, process improvement, data analytics, reporting, or related fields. - 5+ years of experience in data analytics, business intelligence, data science, or a related field. - Experience managing cross-functional projects and coordinating work among business stakeholders, IT teams, analytics teams, and external vendors. - Strong experience gathering business requirements, facilitating workshops, documenting processes, and translating business needs into technical solutions. - Experience leading or providing technical oversight to analytics resources. - Experience developing or supporting SQL solutions, data models, and ETL/ELT processes within enterprise data environments. - Experience with Power BI dashboards and reports, or equivalent business intelligence and data visualization solutions. - Experience working with large datasets, relational databases, and enterprise reporting environments. - Familiarity with AWS cloud services supporting data integration, data lake, analytics, or reporting solutions. - Experience using Python for analytics, automation, statistical modeling, or AI/ML solution development. - Strong presentation, facilitation, written communication, and executive communication skills. - Strong analytical, problem-solving, organizational, and project management skills. - Ability to build collaborative relationships and influence stakeholders across multiple organizations. - Ability to manage multiple priorities and deliver results in a fast-paced environment. Preferred Experience - MBA or advanced degree in Business, Data Analytics, Information Systems, or a related field. - PMP certification or equivalent project management credential. - Experience serving as a Product Owner, Program Lead, Analytics Project Manager, Business Analyst, or Business Process Lead for enterprise analytics initiatives. - Experience supporting customer experience, energy efficiency, utility operations, or other process-focused organizations. - Familiarity with data governance, data quality, responsible AI practices, data warehousing, data lake architecture, and enterprise data management. - Experience developing business cases, investment justifications, executive reporting materials, and leadership presentations. - Understanding of Agile, Scrum, or other project delivery methodologies. - Experience coordinating consultants, contractors, analytics resources, or cross-functional project teams. Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Compensation The salary range for this role is $120,000 – $155,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.", "summaryDescription" : "Data Analytics Process Lead at CARIAN. Skills: Data Analytics, Data Science, Machine Learning, Business Intelligence. Develop and implement data analytics solutions. 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Internal pre-sales teams; Internal marketing teams; Internal services teams", "domainKnowledge" : "Data analytics; Manufacturing operations; Digital transformation; Statistical process control; Process digital twins; Operational excellence; Advanced analytics", "domainList" : [ "data-analytics", "manufacturing-operations", "digital-transformation", "statistical-process-control", "process-digital-twins", "operational-excellence", "advanced-analytics" ], "domainSpecificKnowledge" : [ "Data analytics", "Manufacturing operations", "Digital transformation", "Statistical process control", "Process digital twins", "Operational excellence", "Advanced analytics" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Executive engagement; Technical engagement; Business engagement", "specialRequirements" : "Relocating to Hong Kong, Frequent travel (up to 60%)", "outcomesObjectives" : "Achieve sales targets; Drive consistent improvement; Drive confident decision-making; Create long-term customer value; Achieve repeatable sales success", "qualificationsBasic" : "3+ years B2B sales experience, Track record of achieving sales targets, Experience managing mid-market accounts, Fluent Mandarin, Excellent English communication", "qualificationsPreferred" : "Experience in technology, analytics, or enterprise software, Exposure to business intelligence, Exposure to analytics software, Exposure to statistical software", "workSiteFlexibility" : "Onsite", "rawDescription" : "Please note: this role requires relocating to Hong Kong Today, Minitab is one of the only software companies able to standardize data collection across manufacturing operations, from the factory floor to the quality lab and then turn that operational data into insights. This isn’t about selling a tool; it’s about helping customers establish a shared data foundation with best-in-class analytics that drives consistent improvement and confident decision-making end to end. As a Minitab sales professional, you’ll work with growing manufacturers at every stage of their digital transformation maturity level. Some are just beginning their data journey and need simple, practical ways to collect and understand their data. Others are ready for more advanced capabilities like statistical process control (SPC) and process digital twins to drive true operational excellence. Our portfolio allows you to land where they are today and expand as they grow, creating long-term customer value and repeatable sales success. You’ll be backed by a globally respected brand and solutions trusted by manufacturers around the world for the last 50 years. Minitab continues to be the partner of choice because we make advanced analytics accessible, scalable, and relevant to real manufacturing challenges, not theoretical ones. If you’re a mid-market seller who wants to lead value-based conversations, build lasting customer relationships, and sell solutions that manufacturers genuinely rely on, Minitab offers a career with impact, credibility, and growth. What You’ll Be Doing Own and execute a new business sales strategy for the mid-market segment across the Chinese market Identify, qualify, and close net-new customer opportunities Proactively prospect and engage senior stakeholders within manufacturing organisations, understanding their business challenges and positioning Minitab as a strategic solution Lead the full sales cycle, including discovery, solution positioning, product demonstrations, negotiation, and closing Build and manage a strong pipeline of new logo opportunities, maintaining accurate forecasting and CRM hygiene Work closely with internal pre-sales, marketing, and services teams in a virtual team-selling environment Gather and share competitive and market intelligence to continuously sharpen positioning within the territory Represent Minitab at customer meetings, industry events, and partner engagements across the region What We’re Looking For Proven hunter mentality — proactive, self-starting, and motivated by winning new business Strong experience selling B2B software or technology solutions into the manufacturing industry Ability to work independently, manage your own territory, and prioritise effectively in a fast-paced environment Comfortable with frequent travel (up to 60%) across the region Confident engaging with executive, technical, and business stakeholders Consultative selling approach with strong negotiation and closing skills Language Requirements Fluent Mandarin (native or business-native level) Excellent English communication skills (written and verbal) Experience & Background 3+ years of successful B2B sales experience, ideally in technology, analytics, or enterprise software. Track record of consistently achieving or exceeding sales targets (100%+ of quota) Experience managing mid-market accounts and closing deals. Exposure to business intelligence, analytics, or statistical software is a plus Why Join Minitab? High-impact role with clear ownership of new business growth Opportunity to build and shape a key market for the business Collaborative, international sales environment with strong enablement and support Competitive compensation and career growth opportunities within a global organisation GZ", "summaryDescription" : "Account Executive (Data Analytics) at Minitab. Skills: New business development, Account management, Data analytics sales. Own new business sales strategy. 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Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Data Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.", "summaryDescription" : "Senior Data Engineer, Analytics at Apptegy", "postedDate" : "2026-06-14T19:09:39.312", "createdAt" : "2026-06-14T19:09:39.312", "lastUpdated" : "2026-06-16T01:07:32.467", "ingestTimestamp" : "2026-06-14T19:09:39.312", "mongoId" : "6a2c7a9f74d8ee00a09461bc", "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" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69fe47294c40e2acd1f59741", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:16:14.888", "fingerprint" : "b0b7397bcf7d72aa80e589ecc2de2dbb1fbe0aac6ed1d4deb2d8b863835ea3b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415238/apply", "externalId" : "df582c2a-2483-4a28-ac21-6fc7b007d65f", "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" : "Bachelor's", "technicalSkills" : "C#, C++, Java, Perl, AI, Machine Learning, AWS, EC2, S3, IoT", "professionalSkills" : [ "Data integration", "Platform excellence", "Algorithm optimization", "System optimization", "Scalability", "Reliability" ], "hardSkillsList" : [ "Software development", "System design", "Algorithm development", "Data processing", "Infrastructure development", "ML implementation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Infrastructure development", "level" : "intermediate" }, { "name" : "ML implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI, Machine Learning, Data Integration, Platform Engineering", "majorSkillsList" : [ "AI", "Machine Learning", "Data Integration", "Platform Engineering" ], "coreResponsibilities" : "Design AI/ML products, Develop AI/ML products, Implement AI/ML products, Simplify data processing complexity, Build critical infrastructure, Own critical infrastructure, Collaborate with data scientists, Collaborate with ML experts, Transform ideas into systems, Optimize existing algorithms, Optimize existing systems, Contribute to SDLC, Mentor junior engineers, Promote software development best practices, Promote AI implementation best practices", "teamCollaboration" : "Data scientists; ML experts; Junior engineers", "projectManagementSkills" : [ "Software development lifecycle" ], "domainKnowledge" : "Data integration workflows; AI capabilities; Utility Computing; AWS services; Cloud services; Security solutions", "domainList" : [ "data-integration-workflows", "ai-capabilities", "utility-computing", "aws-services", "cloud-services", "security-solutions" ], "domainSpecificKnowledge" : [ "Data integration workflows", "AI capabilities", "Utility Computing", "AWS services", "Cloud services", "Security solutions" ], "continuousLearning" : "Learn from experts; Working with latest AI technology", "innovationCreativity" : "AI research; Enterprise-scale engineering; Product innovations", "problemSolvingSkills" : "Troubleshooting data integration workflows; Optimize systems", "outcomesObjectives" : "Simplify authoring workflows; Simplify troubleshooting workflows; Simplify upgrading workflows; Simplify optimization workflows; Impact AI development deployment; Shape responsible AI development", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, 1+ years software development engineer experience, 1+ years designing distributed software applications, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team About 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. 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. 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. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.. Skills: AI, Machine Learning, Data Integration, Platform Engineering. Design AI/ML products. Develop AI/ML products", "postedDate" : "2026-06-13T10:10:56.378", "createdAt" : "2026-06-13T10:10:56.378", "lastUpdated" : "2026-06-15T03:16:14.888", "ingestTimestamp" : "2026-06-13T10:10:56.378", "mongoId" : "69fe47294c40e2acd1f59741", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415238/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Algorithm development", "Data processing", "Infrastructure development", "ML implementation", "Mentoring", "AI", "Machine Learning", "Data Integration", "Platform Engineering", "Data integration", "Platform excellence", "Algorithm optimization", "System optimization", "Scalability", "Reliability", "Software development lifecycle", "Data integration workflows", "AI capabilities", "Utility Computing", "AWS services", "Cloud services", "Security solutions" ], "skillCount" : 24, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" } ], "status" : 200, "message" : "synthesize data analytics to assess and provide feedback on the capability development artifacts jobs", "metadata" : { "title" : "synthesize data analytics to assess and provide feedback on the capability development artifacts" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 65462, "totalPages" : 1310, "hasNext" : true, "hasPrevious" : false } }

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