Director, Oncology Commercial Data Science & AI Products

About this role

We're   building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors:   you'll   actively   leverage   existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real.   

Our DS&AI Products team is the OBU's in-house engine for that work. We lead all aspects of the full lifecycle of AI-powered applications spanning predictive field triggers, patient-identification models, omnichannel next-best-action, KOL intelligence, and GenAI-powered field tools — and we ship products, not reports. Every capability we build must deliver measurable field adoption and commercial impact.   

We are hiring a Director, DS&AI Products who will lead a multi-indication AI product portfolio end-to-end, serve as the strategic DS&AI business partner to OBU brand and medical leadership, and lead the responsible design, delivery, adoption, and impact measurement of AI solutions that drive commercial lift and better patient outcomes.   

Role overview  

This is a product ownership and program strategy role — not   an analytics   consulting role. You lead the full AI product lifecycle: problem definition, customer research, product requirements, AI development partnership, UX design alignment, deployment, change management, and post-launch impact measurement. You are the product owner and strategist for the AI capabilities powering Sales, Marketing, and Medical Affairs across your assigned OBU tumor areas, and the liaison US Oncology and the broader AstraZeneca Enterprise AI organization for customer engagement capability building.   

You will be equally comfortable writing a product requirements document, reviewing a GenAI architecture with an engineering lead, running a discovery session with brand managers, delivering the AI transformation narrative to field sales   leadership   and presenting a capability roadmap to the Senior Leadership Teams. You will bring a platform-centric, reuse-first mindset: every solution you ship should be architected for scalability and accelerated deployment across indications - so a trigger framework proven in one tumor area becomes the template for the next launch.   

Key responsibilities  

1. Program Strategy & AI Roadmap Ownership  

• Own the strategy and transformation roadmap for Sales, Marketing, and Medical Affairs AI capabilities across your assigned OBU tumor-area portfolio,   being responsible for   planning and budget management processes in alignment with   OBU   annual cycle.   

• Develop quantifiable cases and value narratives for future Sales, Marketing, and field AI capabilities in collaboration with OBU Franchises, I&A, and Enterprise AI delivery teams; present to OBU Leadership Team (OLT) to drive top-down alignment and shared decisions on roadmap prioritization.   

• Maintain a prioritized product backlog with well-defined user stories, acceptance criteria, and delivery timelines; balance the portfolio across housekeeping (maintenance/refresh), innovation (new AI capability pilots), and new-indication onboarding in an agile operating model.   

• Track industry, market, and innovation shifts — GenAI, agentic AI, oncology data science, competitor AI strategies — to   anticipate   opportunities and risks and keep the roadmap forward-looking.   

• Champion a platform-centric, reuse-first architecture philosophy: design AI capabilities that pilot in one   indication   and scale across OBUs without re-platforming.   

2. GenAI & Agentic AI Product Development  

• Lead the definition, design, and delivery of GenAI-powered applications for OBU commercial and medical teams: AI-assisted field briefing tools ( InsightIQ ), clinical evidence summarization for MSLs, agentic omnichannel workflows (Engagement IQ), and natural-language interfaces to   AZBrain   analytics.   

• Define product requirements and functional specifications for LLM-powered, RAG-based, and agentic AI applications;   partner   with Enterprise AI engineering leads to   translate   requirements into governed, scalable, production-grade solutions.   

• Maintain solid understanding of the evolving GenAI / agentic AI landscape — prompt engineering, RAG architectures, multi-agent orchestration, evals — and critically evaluate architecture choices against OBU field workflow requirements.   

• Apply rigorous pilot-and-scale   methodology : define pilot scope and success criteria upfront, measure output quality and user adoption, and drive evidence-based scaling decisions to other indications and OBU functions.  

3. DS&AI Business Partnership — Brand, Medical & Access  

• DS&AI business partner and product owner for assigned tumor-area brand teams, Medical Affairs, and Market Access — attending strategy reviews, launches, and leadership committee meetings as the AI expert at the table.   

• Lead cross-functional discovery workshops that reveal unmet decision needs. Develop well-scoped AI use cases using detailed problem descriptions, success metrics, data requirements, and risk tiers. Convert the results into actionable user stories for engineering teams.   

• Partner with MSL and medical leadership on scientific use cases: treatment-pathway analytics, KOL/KEE influence mapping (Cami constellation), diagnostics/biomarker testing   strategies   and health equity analytics.   

• Own and govern demand-sensing and care-gap workstreams feeding FSIP, forecasting, and field strategy plans; present roadmap and field impact at

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