{"id":59870,"url":"https://alion.io/job/astrazeneca-product-data-architect-evinova","title":"Product Data Architect - Evinova","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":122,"ghost_share":0,"stale_share":0.492,"repost_share":0.057,"time_to_fill_p50_days":20,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gaithersburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165656,"max":217424,"currency":"USD","period":"year","gross":null,"usd_annual":217424},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-16T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T06:36:51Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":69},"description":"WHY JOIN US?\nEvinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone. Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide.\nAt Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment.\nWe also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection.\nRole Summary:\nAs a Product Data Architect at Evinova, you will shape the data architecture behind our AI-powered products, including Study Designer and AI Document Authoring. You’ll design scalable, secure, and high-quality data solutions that enable smarter, more connected clinical trials.\nWorking closely with Product and Engineering teams, you’ll define data models, integration patterns, and standards that support both current delivery and future innovation-especially across AI, LLM, and RAG-driven capabilities in a regulated environment.\nThis is a high-impact role where you’ll help build the data foundations that power the next generation of digital health solutions.\nWhat You’ll Do:\nShape Data Architecture for AI-Powered Products\nDesign and evolve data models that power our AI-native products\n\nBuild and guide architectures supporting LLMs, generative AI, and RAG pipelines\n\nDefine scalable data flows, integration patterns, and interfaces across products\n\nEstablish reusable data patterns to support long-term product growth\n\nEnsure Quality, Compliance, and Scalability\nDrive consistency and interoperability across our product ecosystem\n\nAlign data architecture with regulatory and enterprise standards (including GxP)\n\nSupport data governance practices like access, retention, and auditability\n\nIdentify risks and continuously improve data architecture and performance\n\nUse Data to Drive Better Decisions\nDefine metrics and dashboards to monitor data quality and system health\n\nTurn insights into actionable improvements for product and engineering teams\n\nPromote a strong data quality mindset across teams\n\nCollaborate and Deliver Across Teams\nPartner with Product and Engineering to bring scalable data solutions to life\n\nWork closely with global teams and external partners to guide implementation\n\nStay hands-on when needed-supporting design, troubleshooting, and delivery\n\nLead and Elevate Data Excellence\nMentor engineers and help set best practices for data architecture\n\nContribute to a shared vision across teams and geographies\n\nHelp define how data supports AI-driven product innovation at scale\n\nWhat Success Looks Like:\nData models and interfaces are clear, scalable, and widely adopted across teams\n\nProduct teams move faster with fewer data-related blockers or rework\n\nData architecture evolves seamlessly as products, AI capabilities, and usage grow\n\nLLM and RAG pipelines are reliable, transparent, and meet both technical and regulatory standards\n\nYou are seen as a trusted partner by Product and Engineering leadership\n\nRequired Qualifications\nBachelor's degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field\n\n8+ years of experience in data architecture, data engineering, or platform architecture roles\n\nProven experience owning data architecture for complex products or product suites\n\nStrong experience in data modeling and data design\n\nProficiency in Python\n\nExperience working with SQL and NoSQL databases\n\nHands-on experience building and managing ETL processes and data pipelines\n\nDemonstrated ability to make architectural decisions with product-level impact\n\nStrong collaboration skills with Product and Engineering teams\n\nA data-driven mindset, with experience defining metrics and using insights to guide decisions\n\nPreferred Qualifications\nExperience architecting data layers for AI/ML-powered products - especially LLM pipelines, RAG architectures, vector databases, or embedding strategies.\n\nFamiliarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.\n\nBackground in life sciences, health-tech, or clinical-trial technology.\n\nExperience working with geographically distributed teams and external vendor squads.\n\nExperience operating within a Data Owner / Data Steward governance model.\n\nExperience defining reference architectures reused across multiple products.\n\nPrior experience mentoring senior engineers or architects.\n\nSO, WHAT’S NEXT?\nTo be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.\nWhere can I find out more?\nExplore what we’re building: www.evinova.com\nStay connected and see our impact in action: https://www.linkedin.com/company/evinova/\nApply today to bring smarter, faster clinical trials to life!\nEvinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. Evinova is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing .\nThe annual base pay for this position ranges from $165,656.80- $ 217,424.55 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.\nIn addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.\nAdditional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.\nDate Posted\n22-Oct-2026Closing Date\n26-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. 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