R&D Data Product Manager

Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com (https://www.astellas.com/en)
Are you driven to make a real difference in the lives of patients?
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.

The R&D Domain Data Product Manager develops recommendations for and activates the approved data product strategy for an assigned biopharma R&D domain. Working with the Data Domain Owner and scientific, clinical, data, architecture, governance, engineering and platform stakeholders, the role identifies high-value user and business needs and translates them into a coherent portfolio of reusable data products. It establishes proposed product boundaries, value hypotheses and roadmaps, incorporates quality and governance expectations defined with data stewards and relevant specialists, and recommends investment priorities for approval by the Data Domain Owner.
The role owns domain-level product discovery, portfolio prioritization recommendations, product mobilization and cross-product dependency management within approved priorities and investment guardrails. It coordinates validation of scientific relevance and consumer needs with scientific and clinical stakeholders; technical feasibility and interoperability with architecture, modeling, engineering and platform teams; and quality, governance, privacy and analytical and AI-use readiness with data stewards, governance specialists and relevant privacy and technical authorities. Once a product is approved and sufficiently defined, detailed delivery and lifecycle accountability transitions to a designated Data Product Owner. The Domain Data Product Manager retains responsibility for domain-wide portfolio coherence, cross-product dependencies, portfolio-level value tracking, identification of reuse opportunities and alignment with the approved domain strategy.

• →Partner with the Data Domain Owner to translate domain outcomes, use cases, investment priorities, and OKRs into a clear domain data product vision, roadmap, and strategic backlog.
• →Establish and continuously refine a prioritized domain backlog covering candidate data products, domain blueprint work, source dependencies, data contracts, governance needs, and enabling platform capabilities.
• →Work with the Domain Data Architect and Domain Data Modelers to develop and maintain the domain blueprint, product decomposition, canonical/semantic modeling priorities, interoperability needs, and reusable architecture patterns.
• →Facilitate use-case decomposition into required data products, MVP boundaries, capabilities, sequencing, business value hypotheses, and measurable success criteria.
• →Coordinate demand intake, opportunity evaluation, value/effort prioritization, dependency mapping, and escalation of cross-domain or platform constraints; make trade-offs transparent to the Domain Owner.
• →Maintain a consolidated view of domain initiatives, product status, backlog readiness, delivery milestones, capacity assumptions, risks, decisions, and strategic dependencies.
• →Engage the Foundation Data Platform team to align on source availability, ingestion needs, technical readiness, shared standards, and planned capability changes without taking ownership of platform engineering.
• →Partner with Data Governance Specialists and stewards to embed ownership, business glossary, metadata, data quality, lineage, contract, certification, privacy, and AI-readiness expectations into domain planning.
• →Define product initiation and handoff criteria; identify and onboard the accountable Data Product Owner before detailed product delivery begins.
• →Transition each approved product's delivery backlog, acceptance criteria, releases, consumer engagement, adoption, and ongoing lifecycle management to its Data Product Owner; provide portfolio-level coordination thereafter.
• →Facilitate domain planning, backlog refinement, roadmap reviews and cross-team dependency forums with Core and Value Teams.
• →Serve as Value Team (VT) captain to align team objectives with approved domain priorities, facilitate planning and progress reviews, coordinate commitments and dependencies, and escalate risks and decisions.
• →Where assigned, perform Scrum Master responsibilities, including facilitating Scrum events, supporting impediment resolution, coaching the team in Scrum practices and enabling continuous improvement.
• →Monitor domain-level business value, roadmap progress, adoption, reuse, and bottlenecks; recommend adjustments and improvements to the operating model and ways of working.
• →Support cross-domain alignment and portfolio scaling while preserving the Data Domain Owner's authority over outcomes, investments, and major prioritization decisions.
• →When required, provide Business Analyst (BA) support during discovery and mobilization by eliciting user needs, analyzing business processes, and developing requirements, user stories and initial acceptance criteria with stakeholders and the designated Data Product Owner.

• Bachelor's or master’s degree in information systems, Data Science, Computer Science, Life Sciences, or a related discipline.
• Seven or more years of relevant experience, including at least three years directly defining or managing data, analytics, platform, scientific-informatics or AI-enabled products
• Demonstrated experience translating business outcomes and use cases into roadmaps, strategic backlogs, product definitions, and phased delivery plans.
• Experience facilitating prioritization, managing cross-team dependencies, and coordinating stakeholders across business, architecture, governance, platform, and engineering teams.
• Understanding of domain-oriented data products, data contracts, canonical models, metadata, governance, and medallion architecture.
• Working knowledge of scientific and regulated-data principles, including provenance, traceability, FAIR practices, privacy by design and, where applicable, GxP and ALCOA+ expectations.
• Strong facilitation, communication, executive storytelling, negotiation, and Agile/product delivery skills.

• Broader experience across multiple pharmaceutical or biotechnology R&D functions and data domains.[MCR7.1]
• Experience with scientific, clinical, operational, safety or regulatory data products and AI-enabled R&D use cases.
• Experience with federated or data-mesh operating models, domain blueprints, product certification and enterprise governance.
• Familiarity with Databricks, Unity Catalog, Jira or Azure DevOps, metadata and catalog platforms, product analytics, SQL or business-intelligence tools.
• Experience defining responsible-AI, model-evaluation, data-suitability or AI-observability requirements in regulated or high-impact settings.
• Experience incorporating privacy, security, cross-border data-use constraints and purpose-based access requirements into global data-product planning.
• Experience leading global, geographically distributed teams and organizational change.

Values: Innovation, Integrity and Impact sit at the heart of what we do.

Behaviors: We come together as ‘One Astellas, working with courage and a sense of urgency . We are outcome focused and consistently take accountability for our personal contribution.

"Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help”