Associate Director, Data Product Management

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 datadefining 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:

• Bachelors 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 perspectives to deliver scalable solutions in collaboration with engineering teams.
• Broad data knowledge spanning data management principles (governance architecture modelling integration BI) data engineering concepts (data lakes master/reference data) and agile development methodologies.
• Ability to simplify complex concepts and provide clear direction to teams

Desirable Skills/Experience:

• Advanced degree or equivalent experience in a relevant field (e.g. Data Science Computer Science Engineering Business)
• Experience with Oncology or broader life sciences commercial data sets (e.g. claims EHR prescription specialty pharmacy RWE)
• Hands-on familiarity with modern cloud data platforms and tooling (e.g. Azure AWS GCP Databricks Snowflake)
• Experience with data catalog and metadata management solutions (e.g. Collibra Alation) and maintaining lineage at scale
• Knowledge of data privacy security and compliance frameworks relevant to healthcare (e.g. GDPR HIPAA) and internal policy controls
• Validated enablement of AI/ML use cases and collaboration with analytics and data science teams
• Product analytics indictor frameworks and value realization tracking for data products
• Vendor management and budget ownership across data suppliers and service providers
• Relevant certifications in product management data management or cloud technologies

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and daring world.

Why AstraZeneca:

Here your data products will power real-world decisions that shape the future of cancer carebringing transformative medicines to patients faster and improving the entire experience of care. You will work with ground breaking technology sit shoulder to shoulder with experts from diverse teams and move at pace to solve meaningful problems. We value kindness alongside ambition provide the autonomy to experiment and rally behind bold ideas that turn into measurable outcomes for patients and the business.

Call to Action:

If you are ready to build trusted scalable data products that accelerate life-changing impact in Oncology take the next step and shape what comes next today!

The annual base pay for this position ranges from US $194571 & $291856 Our positions offer eligibility for various incentivesan opportunity to receive short-term incentive bonuses equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs paid time off (i.e. vacation holiday and leaves) as well as health dental and vision coverage in accordance with the terms of the applicable plans.

Date Posted

Closing Date

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.