Remote Data Engineering & Analytics Jobs

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. Why This Role Matters Our GTM Analytics team owns the metrics that run the business for Sales, Marketing, and Client Success. We're past the phase of standing up basic reporting — we're now building a modern, agentic analytics practice, including Lighthouse, our internal BI-as-code platform, where dashboards, metrics, and semantic definitions live in version-controlled code rather than scattered across disconnected tools. This role is a chance to shape that next chapter. You'll partner directly with Sales, Marketing, and CS leaders to answer their hardest questions about pipeline, funnel conversion, campaign performance, and retention, while helping build the infrastructure and AI-forward workflows that let the whole GTM org get trustworthy answers faster. You'll report to our Senior Manager of Analytics and work in tight, two-week sprints alongside Analytics Engineering, so you'll see your work ship and get used — fast. What You'll Do GTM Analysis & Decision Support Deliver decision-ready analysis across Sales, Marketing, and Client Success: pipeline health, funnel conversion, campaign and channel performance, coh

Turner & Townsend is looking for an Scheduler Lead -Associate Director to join our team. This individual will have strong leadership skills and proven track record of successfully manage scheduling on prior projects or programs. Qualified candidates will come from a background supporting large construction projects. Responsibilities: Work in an integrated planning, cost and risk environment within the project to optimize the use of available resources to complete work plan scopes within budget and time constraints. Ensure that the established planning and scheduling methodology is followed in developing the project schedule. Develop Project Milestone and Progress tracking baselines. Assess subcontractor compliance with established scheduling methodology. Contribute to the development of the Work Breakdown Structure to support project performance measurement. Perform analysis of schedule data; identify trends, issues, and areas requiring attention and communication to the Project Director and Team. Communicate and collaborate with both internal and external clients on the project schedule. Contribute to the coaching and mentoring of the planning team Lead schedule reporting, including schedule forecast updates and schedule contingency management for specific work packages. Lead schedule updates, analysis, and reports in a timely manner. Ensure compliance with contractor schedules with the integrated schedules/milestones. Analyze resource requirements and availability impac

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. We are looking for an experienced Senior Data Scientist to partner closely with Marketing, Finance, Retail, and Product to translate marketing data into better decisions and business outcomes. Your work will help Oura improve marketing efficiency, optimize spend allocation, strengthen channel and revenue measurement foundations, and build scalable decision systems that make our go-to-market organization smarter over time. This is a full-stack applied data science role that requires strong data foundations, pragmatic model development, and the ability to turn technical models into operational and strategic action. We are especially excited about candidates who have experience going beyond standalone modeling to build AI-enabled decision systems that influence how teams prioritize, allocate budget, and take action. What Y

Made of people who transform education. All Arco vacancies are open to people with disabilities. We are Arcotech, the technology team at Arco Education. We develop digital solutions so that students, parents, and schools work together for a more dynamic and effective learning experience. Here we bring together talents who are passionate about technology and education. We know that together, we can unite these two forces to elevate the learning experience. We want to go beyond innovation; our purpose is to maximize the impact of education on people, which is what drives us. Through learning, estimation, and relationship solutions, we help schools become better, bigger, and more engaging for students, educators, and families. Now that you've grasped a bit more of our essence, let's talk about the opportunity? You will be part of our Data ecosystem, working as a Data Engineer II with a strong focus on innovation and Artificial Intelligence. Your challenge will be to build AI-driven products that empower our platform, developing everything from agents and chatbots to data automation systems. Here, you will combine traditional data engineering with state-of-the-art LLMs to generate real impact on the efficiency of our teams, actively collaborating with Data Platform and Analytics Engineering.

This role migrates a SQL Server enterprise data warehouse and its SSIS integration layer from Azure to AWS — the Microsoft data stack, not the open-source one. The scope for year one: 70% of the client's data workloads still run on this SQL Server warehouse (the remaining 30% has already moved to Databricks), with 1,060 stored procedure call dependencies from pipelines that must keep resolving through the migration. The SSIS package estate (SSISDB) loads the Operational Data Store and the warehouse, driven by configurable runtime values, and the ODS→EDW→BI dependency chain — including PowerShell-triggered SSIS runs for CRM and core business application feeds — must stay intact throughout. Requirements What you will do Migrate the SQL Server enterprise data warehouse from Azure VMs to AWS, preserving the ODS to EDW to BI dependency chain. Move and re-point SSIS packages, including those triggered by PowerShell after upstream file downloads. Keep 600+ stored procedures and 1,060 pipeline call dependencies working, and refactor the ones that cannot come across as-is. Reconcile row counts and business measures against source before cutover. Required Real experience building and operating SQL Server Integration Services (SSIS) packages. Central to this role. Advanced T-SQL: able to read a 500-line stored procedure and explain what it actually does. SQL Server Enterprise Edition in production, including performance tuning. Dimensional modeling: star schemas, slowly changing dimensi

We're looking for a Senior Data Engineer to design and implement AI features end to end — from data pipelines through GenAI and agentic workflows to production deployment. In this role, you'll build and optimize scalable, secure data pipelines across polyglot client enterprise environments, develop Generative AI, agentic, ML, and BI systems using modern frameworks, and implement MLOps/LLMOps practices across AWS, Azure, and GCP. You'll own technical workstreams autonomously, mentor junior engineers, and bring sound judgment on model behavior, evaluation, reliability, and guardrails to everything you build. Responsibilities: Help design and implement AI features end to end — from data pipelines through GenAI/agentic workflows to production deployment — applying sound judgment on model behavior, evaluation, reliability, and guardrails. Build and optimize scalable, secure data pipelines and ETL/ELT workflows in Python and SQL across polyglot client enterprise environments. Develop Generative AI, agentic, ML, and BI systems using RAG, embeddings, vector databases, and modern frameworks (Spark, LangChain, Databricks, Airflow, and similar). Implement MLOps/LLMOps practices — CI/CD for data workflows, automated agent evaluation, and infrastructure as code across AWS, Azure, and GCP. Enforce data security and governance, including PII/PHI handling, authentication, and role-based access control. Own technical workstreams autonomously, mentor junior engineers, and champion software eng

Job Title Director, Data Science Job Description About The Position | Major Goals and Objectives and Location Requirements: People Inc. is America’s largest print and digital publisher, reaching tens of millions of readers every day. We’re hiring a Director of Data Science to lead customer intelligence and personalization for our entertainment brands, helping shape products and experiences that inform, engage, and inspire our audiences. In this role, you’ll build a deeper understanding of our customers across product engagement, marketing response, and lifecycle behavior. You’ll partner closely with Product, Marketing, and Editorial teams to turn data into actionable insights that drive growth, while working with Data Operations and Engineering to ensure our models, measurement systems, and insights can scale effectively. You’ll apply statistical modeling and machine learning to product and marketing challenges across customer segmentation, acquisition, engagement, retention, and lifetime value, with a particular focus on mobile app experiences. You’ll own models and analyses that support personalization, automated marketing, attribution, experimentation, and lifecycle optimization across apps, newsletters, and other customer touchpoints, translating complex audience behavior into clear recommendations and measurable business impact. Schedule Requirements: In-office Expectations: This position is fully remote with no in-office requirements, (might require coming into an offic

AnewHealth is one of the nation’s leading pharmacy care management companies that specializes in caring for people with the most complex, chronic needs—wherever they call home. We enable better outcomes for patients and the healthcare organizations who support them. Established in 2023 through the combination of ExactCare and Tabula Rasa HealthCare, we provide a suite of solutions that includes comprehensive pharmacy services; full-service pharmacy benefit management; and specialized support services for Program of All-Inclusive Care for the Elderly. With over 1,400 team members, we care for more than 100,000 people across all 50 states. Job Details Pharmacy Technicians in our Patient Care Center of Excellence may hold multiple duties to ensure ExactCare’s patients receive quality care out of their pharmacy services. They will work in a closed-door pharmacy environment, spending their time speaking with patients, doctors and facilities on the phone in addition to the outline job duties and responsibilities. Job duties will vary from phone work and navigating multiple pharmacy software systems to supporting the various stages of patient care/contact. These areas of responsibility will fluctuate based on organizational needs, allowing the Pharmacy Technician to develop multiple skillsets. This is an office (or remote) based, cubicle environment, allowing the Pharmacy Technician to provide an exceptional patient experience. ExactCare Pharmacy provides a fast-paced, high energy e

This role converts a large Azure Data Factory estate into Databricks workflows on AWS. The scope for year one: 2,094 ADF pipelines to migrate — built as reusable templates rather than one-by-one — 9,859 pipeline activities to translate (some map directly, others need rewriting as Lambda or Step Functions), 471 Spark dataflows to move onto Databricks on AWS, and 4 Databricks workspaces (Dev, QA, Pre-prod, Prod) to rehost, including notebook paths and Unity Catalog rewiring. This is a regulated environment, so reconciling migrated data against source systems is part of the definition of done, not an afterthought. Requirements What you will do Convert Azure Data Factory pipelines into Databricks workflows on AWS, building reusable templates rather than migrating one at a time. Rehost Databricks workspaces onto AWS and migrate ADLS Gen2 storage to S3. Rewrite ADF Web Activities as Lambda functions or Step Functions tasks, and replace ADF-specific scaling with native Databricks mechanisms. Build and tune PySpark transformations for production data volumes. Replace Azure Synapse Serverless with Databricks SQL Warehouse. Reconcile migrated data against source systems as part of the definition of done. Required Production experience with Databricks: workspaces, jobs and workflows. The central skill for this role. Strong Spark and PySpark experience for real data volumes, including tuning. Production-grade Python. Experience building or migrating Azure Data Factory pipelines, with a s

About Us Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services. Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy: Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S. Continuous professional growth and leadership opportunities. Health, wellness, and financial benefits to offer peace of mind to you and your family. World-class facilities and the technology you need to thrive – in our offices or yours. Job Summary The Solutions Architect, Data Governance serves as the lead technical and strategic advisor for enterprise data governance initiatives within client engagements. This role works directly with executive stakeholders, data leaders, business teams, security organizations, and technical delivery teams to design and implement governance programs that establish trust, visibility, accountability, and control across enterprise data estates. This client-facing delivery role focuses on structured data governance, including metadata management, business glossary development, taxonomy design, data lineage, stewardship operating models, data quality frameworks, governance monitoring, and Microsoft Purview implementation. The Solutions A

Role Title: AI Facial Data Collection Contributor (50+) Location: Remote Job Summary Get paid from home in this fully remote AI training project by providing a few selfies and short videos of yourself through the past 5 years. Selfies and Videos will be used to train AI Data. Eligibility Because the project requires representation from this specific age group, participation in this posting is limited to contractors who are 50 years of age or older. This is a requirement of the project itself, not a judgment about qualifications. There is no upper age limit. Key Responsibilities: Submit high-quality and unedited selfies (30) and video recordings (10) of yourself through the past 5 years. Remove possible filters and edits from pictures/videos taken in the last 5 years. Follow the instructions carefully. Report any issues and follow feedback to improve future submissions. Required Skills and Qualifications: Must have clear selfies and videos ready to submit, captured with a smartphone or camera. Able to follow instructions and pay attention to detail. Comfortable working independently and reporting any issues if they arise. Compensation Structure: You will receive a one time payment after you submit the amount of selfies and videos required by the project. Originally posted on Himalayas

Role Title: AI Facial Data Collection Contributor (Twins) Role Type : Contractor Location: Remote This engagement is open to twins who wish to participate together, contributing diverse biometric data to help improve the accuracy and capabilities of AI facial recognition systems. Scope of Work Submit high-quality and unedited selfies (30) and video recordings (10) of yourself through the past 5 years. Remove possible filters and edits from pictures/videos taken in the last 5 years. Follow the instructions carefully. Report any issues and follow feedback to improve future submissions. Preferred Qualifications Must have clear selfies and videos ready to submit, captured with a smartphone or camera. Able to follow instructions and pay attention to detail. Comfortable working independently and reporting any issues if they arise. Both siblings twins must each submit their own separate application through this same process; onboarding cannot occur until both applications are completed. Originally posted on Himalayas

Role Title: AI Facial Data Collection Contributor Location: Remote Job Summary Get paid from home in this fully remote AI training project by providing a few selfies and short videos of yourself through the past 5 years. Selfies and Videos will be used to train AI Data. We also welcome siblings and twins (identical or fraternal) to join this project! If you have brothers, sisters, or twins who are interested, they are encouraged to apply as well. Key Responsibilities: Submit high-quality and unedited selfies (30) and video recordings (10) of yourself through the past 5 years. Remove possible filters and edits from pictures/videos taken in the last 5 years. Follow the instructions carefully. Report any issues and follow feedback to improve future submissions. Required Skills and Qualifications: Must have clear selfies and videos ready to submit, captured with a smartphone or camera. Able to follow instructions and pay attention to detail. Comfortable working independently and reporting any issues if they arise. Compensation Structure: You will receive a one time payment after you submit the amount of selfies and videos required by the project. Originally posted on Himalayas

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Int

We're looking for an experienced Senior Data Engineer to take a hands-on role in designing, building, and optimizing our core data platform. You'll work on challenging technical problems, help shape architectural decisions, establish engineering best practices, and build scalable, high-quality data pipelines. You'll also have opportunities to mentor fellow engineers, contribute to code reviews, and provide technical guidance as the team grows. Core Responsibilities Data Pipeline Development: Design, build, optimize, and maintain scalable ETL/ELT pipelines, APIs, and microservices for high-volume regulatory and health agency datasets. Data Reliability & Integrity: Troubleshoot data quality issues and implement automated testing, monitoring, and validation to ensure data accuracy and reliability. Architecture & Design: Contribute to technical design and architectural decisions, building scalable, maintainable solutions that support our evolving data platform. System Integration: Integrate data pipelines with downstream NLP/ML services and search technologies, including the ELK stack. Production Operations: Support production deployments, troubleshoot pipeline and database issues, and resolve complex technical incidents. Cross-Functional Collaboration: Work closely with Engineering and Product teams to translate requirements into practical, well-designed technical solutions. Tech Savvy: You effectively anticipate and adopt innovations in business-building technology solu

Job Title: Senior Data Scientist - Measurement Location: Remote - US Only About InMarket Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket 's data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket 's proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients. *Source: Wordstream US Google Display Benchmarks for Mobile Media About the Role AI Engineering is a core driver of InMarket ’s product design and innovation. As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack. Your role is to conceptualize, develop and deploy the core machine learning and AI solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference, marketing statistical methods

Calyxo , Inc. is a medical device company headquartered in Pleasanton, California, USA. The company was founded in 2016 to address the profound need for improved kidney stone treatment. Kidney stone disease is a common, painful condition that consumes vast amounts of healthcare resources each year. Our team is led by executives and investors with a proven track record of commercializing paradigm-shifting devices to meet unmet needs within urology. Are you ready to change the future of kidney stone treatment? We are seeking high achievers who want to be part of a dynamic team working in a fun, diverse atmosphere. Summary: We are seeking a Data Scientist to support evidence generation across the medical device product lifecycle. This role, under the direction of the Manager of Biostatistics & Data Science, will transform real-world, clinical, and preclinical data into reliable, reproducible datasets, analyses, and insights that support research and cross functional business needs. The ideal candidate brings strong hands-on data science and statistical skills, with the ability to translate research questions into fit-for-purpose datasets and analytical approaches. The role will support both real-world data initiatives and the statistical execution of preclinical and clinical studies, including but not limited to study design, endpoint definition, analysis planning, statistical programming, data review, interpretation, and reporting. This individual will work closely with Sci

Job Type: Full-Time Location: Trinidad (Remote) Job Summary: A Data Engineer is responsible for designing, building, and maintaining data infrastructure to support analytics, reporting, and business intelligence. Job Description Data Pipeline Development Build and optimize data pipelines for efficient extraction, transformation, and loading (ETL). Database Management Design and maintain databases, ensuring scalability and reliability. Big Data Processing Work with large datasets using tools like Hadoop, Spark, and Kafka. Cloud Integration Implement data solutions on cloud platforms like AWS, Azure, or Google Cloud. Data Governance & Security Ensure data integrity, compliance, and security best practices. Collaboration Work with data scientists, analysts, and business teams to support data-driven decision-making. Required Skills Proficiency in SQL, Python, Scala, or Java for data manipulation. Experience with big data technologies (Hadoop, Spark, Kafka). Knowledge of cloud computing platforms (AWS, Azure, GCP). Strong understanding of data modeling and database design . Expertise in ETL processes and workflow automation. Ability to optimize data infrastructure for performance and scalability . Familiarity with data governance and security protocols . Experience within banking industry is an asset. Educational Requirements A bachelors degree in computer science, software engineering, or a related technical field. A masters degree can be beneficial for senior roles. Certific

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large. About the Role: We're building the systems that turn one of the world's largest scientific corpora into research intelligence. That means production NLP + Applied AI pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summaries optimized for use by downstream agentic applications. We're looking for a principal data scientist to own domain-specific content modeling work end to end, from the eval set through the pipeline stage that ships it. You'll join a small, senior team where data scientists own their models in production. You'll write the code, own the evaluations, ship the changes, and stay accountable for the outcomes. This is a hands-on role for someone who wants to see their models through to real users in a rapidly evolving market. Job Responsibilities: Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientific full-text at scale. Compare NLP approaches to extraction and enrichment against LLM-based approaches, and pick the right tool for each task. That

Req ID: 395284 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & AI Specialized Sr Client Partner - Commercial (Remote - US) to join our team in Atlanta, Georgia (US-GA), United States (US). Job Title: Data & AI Specialized Sr Client Partner - Commercial (Remote - US) Req ID: 375276 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & AI Specialized Sr Client Partner - Commercial (Remote - US) to join our team (remote) prefer central/eastern region of the United States, United States (US). At NTT Data we are seeking a Specialty Client Partner to drive strategic growth and transformation within our Commercial Sector (Manufacturing, logistics, supply chain, travel, hospitality, retail, etc.) with a strong emphasis on Data, Analytics, and AI-led innovation. This role is designed for a seasoned leader who can build trusted partnerships with executives in the commercial industry while guiding organizations through increasingly complex, data-driven challenges. As a key advisor, you will help travel and hospitality clients unlock the value of their data, advance AI-enabled capabilities, and modernize their technolo

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. This opportunity is with a leading multinational beverage company based in Mexico City. We are looking for a Senior Data Scientist to join our team 🐶🚀. You'll be responsible for designing, developing, and enhancing advanced Pricing and Revenue Growth Management (RGM) models , turning data on demand, pricing, product portfolios, sales channels, and consumer behavior into actionable insights that drive strategic business decisions. In this role, you'll combine Machine Learning, statistics, econometrics, and business expertise to build predictive models, analyze price-demand relationships, estimate price elasticities, and optimize pricing strategies. You'll work closely with business stakeholders, Data Engineers, and Machine Learning Engineers to develop scalable, statistically robust solutions that support commercial decision-making. Strong analytical thinking, business understanding, and the ability to translate complex data into actionable recommendations are essential to succeed in this collaborative environment. 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data i

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace. We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results. Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits. What to expect on your journey with us: A solid and innovative company with a strong market presence A dynamic, diverse, and multicultural work environment Leaders with deep market knowledge and strategic vision Continuous learning and development Requirements Summary: Responsible for the collection, preparation and reporting of statistical data, including technical support for tools and other analytic processes used for the property and casualty lines of insurance business across the Farmers enterprise. Responsibilities: Communicates with Regulatory Affairs, actuaries, accountants, product managers and I/T staff regarding data requirements and business requirements involving new reports, applications, regulatory data calls or data requests. Collects and o

Job Overview: May support Lead Data Manager (LDM) with the review, maintenance, and update of external vendor data received from central vendor or local laboratories. Working to ensure company SOPs (or sponsor, if applicable), guidelines and global standards are followed to maintain data integrity and ensure consistency across all projects. Summary of Responsibilities: Develop the Vendor Data Plan (VDP), including the Data Quality Review reconciliation section, or sponsor equivalent, for the external vendor data transfer(s), obtain final approvals and file document to the Trial Master File (TMF) as applicable. Collaborate with external vendor and sponsor counterparts for study expectations including milestones, deliverable timelines, communication expectations, etc. Ensure electronic external vendor data transfers contain all protocol specified parameters, is in correct format, and data populates to the specified fields and subjects correctly as designated in the Vendor Data Plan (VDP) or sponsor equivalent. Develop and document external data edit checks and reports in the edit check template or sponsor equivalent, obtain approvals and perform QC/UAT to verify the checks and reports are functioning properly. Review external data discrepancies generated by edit checks and reports and perform subsequent query management to resolve data issues. Maintain appropriate documentation of data issues in both study and vendor logs and follow outcome to resolution. May assist with review

The next part of your journey is right around the corner — with The Standard . A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference? Job Summary The Product Manager, Data & AI Platform is responsible for strategy, roadmap development, adoption, consumer engagement, lifecycle management, and value realization of the enterprise Data & AI Platform. The role operates the platform as a product, ensuring platform capabilities are prioritized against enterprise demand, governed consistently, and delivered through scalable self-service experiences. Key Responsibilities: Own and maintain the Data & AI Platform roadmap and investment priorities. Prioritize platform capabilities based on aggregate consumer demand and enterprise outcomes. Lead platform intake, adoption, onboarding, and consumer feedback processes. Champion self-service golden paths and platform consumption models. Partner with Engineering, Architecture, Governance, Security, Analytics and business stakeholders. Track platform adoption, reuse, onboardin