Jobs in Gaithersburg, MD

About the role

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. 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.

What you'll bring

• Bachelor's degree or comparable experience in a quantitative field like CS, statistics, engineering, economics, or similar.
• Advanced qualifications, including an MBA, MS, PhD, or equivalent experience, are highly valued.
• 7–10+ years of professional experience with 5+ years in pharma commercial functions (or pharma-focused strategy consulting)
• demonstrated   end-to-end AI/data-science product ownership with measurable commercial impact in an oncology or specialty context.
• Strong analytical fluency — able to translate between brand strategy, commercial operations, data science, and technology teams
• experienced at bridging business and technical stakeholders across a highly matrixed organization.
• Hands-on familiarity with LLMs, crafting input queries, retrieval-augmented generation systems, and agentic frameworks ( LangChain,   LlamaIndex, or equivalent)
• working   proficiency   in Python and ML/AI tooling
• experience with cloud platforms (AWS SageMaker/Athena, Databricks, Azure, or GCP).
• Deep   expertise   in oncology commercial data: secondary claims (IQVIA, Symphony, MMIT), EHR/EMR sources such as Komodo and Veeva PULSE, lab/diagnostic data ( Diaceutics ), specialty pharmacy, and enriched ML assets.
• Exceptional communication skills and proven   track record   to   operate   successfully in highly matrixed organizations
• effective interpersonal and relationship-management skills with a consultative approach.

Benefits