Director, AI Product Development

AstraZeneca•Wilmington, DE

1d•Hybrid

About The Position

This is a product leadership role within the Enterprise AI organization, specifically on the AI for Commercial (AIC) team. The role focuses on owning the end-to-end lifecycle of AI-powered applications, including Generative AI (GenAI) and Machine Learning (ML) products, for Global and US functions such as commercial, medical, market access, and patient programs. The individual will define the product roadmap, drive cross-functional execution, and be accountable for measurable business impact. The company emphasizes a digitally enabled enterprise and aims to craft the future of Pharma by leveraging technology, data, and innovative work practices. The culture encourages curiosity, smart risks, and quick decisions to drive disruption and innovation.

Requirements

Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or equivalent); advanced degree preferred.
7+ years of experience building and shipping data science or AI products in a commercial setting.
3+ years of experience in building Gen AI tools and platforms.
Demonstrated experience owning an AI product end-to-end: requirements, development, deployment, and post-launch measurement.
Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g., LangChain, LlamaIndex, or similar).
Fluency in Python and ML/AI tooling.
Experience with cloud platforms (AWS, Azure, or GCP).
Strong product thinking: ability to define user needs, write clear requirements, prioritize a backlog, and communicate tradeoffs to customers.
3+ years in Pharmaceutical or Life Sciences; familiarity with commercial data and field-facing workflows.

Nice To Haves

Experience building GenAI products under enterprise governance requirements.
Background spanning multiple functions: Commercial, Medical Affairs, Market Access, or Insights & Analytics.
Demonstrated ability to drive user adoption: training, change management, and usage analytics.
Experience managing external suppliers and consultants against defined deliverables and timelines.
Strong executive communication skills; comfortable presenting product roadmaps and cases to senior leadership in a matrixed organization.

Responsibilities

Own the full AI product lifecycle: from problem definition and customer research through AI development, UX design, deployment, adoption, and measurement.
Lead GenAI and agentic AI product development.
Define product requirements and functional specifications for AI-powered applications, agentic workflows, and ML-driven tools serving medical, commercial, and field teams.
Translate business questions into product requirements.
Partner with Marketing, Medical Affairs, GIBEX, Field Operations, and IT to align product capabilities with brand objectives, field workflows, and launch timelines.
Partner with technical delivery leads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensuring high-quality, timely execution.
Establish clear RACI, maintain alignment on priorities, and drive accountability across a cross-functional delivery model.
Drive adoption and impact measurement by defining success criteria before launch and tracking usage, output quality, and downstream business impact post-launch.
Communicate results to leadership with clarity.
Operate within enterprise AI governance, navigating compliance requirements, data access controls, vendor management, and IT approval processes.
Ensure all products are deployed responsibly and with appropriate documentation.
Stay current with GenAI, agentic AI, and pharma AI trends, identifying emerging capabilities with strategic fit, piloting solutions with speed and rigor, and championing a platform-centric approach.