Associate Director, Data Product Management

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Are you ready to turn enterprise-scale data into decisions that transform cancer care? As Associate Director, Data Product Management, you will lead how critical data is collected, organized, and shared across our Oncology portfolio to accelerate smarter decisions and measurable impact for patients. Your work will directly help teams bring innovative medicines to people earlier, improve access, and compose the cancer care experience from diagnosis to survivorship. You will operate at the intersection of business, technology, and data-defining a clear strategy, building scalable products, and ensuring our data is trusted, compliant, and easily discoverable. Partnering with commercial leaders, engineering, analytics, and external providers, you will embed a product-minded, agile approach that turns commercial priorities into reusable data assets and insightful outcomes. Can you see yourself creating a roadmap that unlocks value, speeds launches, and enables advanced analytics across the enterprise? Accountabilities: Data Product Strategy and Vision: Define the domain-level strategy and north star for Oncology data products aligned to enterprise and commercial priorities; identify high-impact use cases, including AI and advanced analytics, with clear value measures. Product Roadmap and Delivery Ownership: Own end-to-end roadmaps from inception through launch, scale, and optimization; manage dependencies across products and platforms; continuously prioritize based on realized value, risks, and evolving business needs. Backlog, Requirements, and Technical Alignment: Lead backlog prioritization; translate business needs into unambiguous technical specifications and data requirements; collaborate with engineering and architecture to manage trade-offs and technical debt. Business Engagement and Value Translation: Serve as primary liaison to commercial partners; articulate value cases and secure alignment on priorities and outcomes; convert market and operational needs into actionable data solutions. Data Roadmap and Use Case Enablement: Translate business goals into a structured data roadmap with landmarks; define required internal/external data, acquisition, storage, and processing plans; monitor execution and adjust to demand. Cross-Functional Leadership and Operating Model: Drive alignment across platforms, architecture, governance, and analytics; champion agile approaches committed to continuous value delivery and shared accountability. Data Engineering, Ingestion, and Operations: Define and be responsible for scalable ingestion and processing from first- and third-party sources; ensure reliability, timeliness, and accuracy; resolve technical issues and optimize pipelines with engineering teams. Data Governance, Compliance, and Stewardship: Establish and implement governance, access, and usage controls; approve downstream usage in line with policy and regulation; steward adherence to enterprise standards. Data Quality, Validation, and Standards: Implement validation strategies for accuracy, completeness, and reliability; standardize definitions, dictionaries, and models; maintain lineage to ensure clarity and trust. Data Product Catalogue and Metadata Management: Define catalog requirements; ensure metadata, lineage, and documentation are complete and current; drive adoption among business users for discoverability and self-service. Partnerships, Vendors, and Ecosystem Management: Build strategic partnerships; lead all aspects of vendors and data suppliers for value, compliance, and performance; run budgets to support business-critical insights. Insights Enablement and Analytics Collaboration: Collaborate with analysts and data scientists to support advanced analytics; identify and resolve data quality issues impacting insights; enable actionable outcomes in marketing, sales, access, and strategy. Performance Management and Continuous Improvement: Define product-level indicators and adoption metrics; track value realization; use insights to optimize products and modernize capabilities. Culture, Adoption, and Capability Building: Promote data product adoption and data-driven decision-making; create documentation, training, and enablement; introduce innovative data and AI practices and build skills across the organization. Essential Skills/Experience: Bachelor's degree; preferably in a relevant field 5+ years of Commercial Data Management and/or related experience Strong ability to balance critical thinking with execution, operating effectively in complex, fast-paced environments. Validated experience leading cross-functional teams and influencing across a matrixed organization, with excellent team member management and the ability to drive alignment without direct authority. Solid product management expertise, including lifecycle ownership, roadmap development, backlog management, and outcome tracking. Strong analytical and problem-solving capabilities, integrating business, technical, and operational pers