Senior Manager, Oncology Data and AI Systems

We are looking for a Senior Manager, Oncology Data and AI Systems to join our Data, Data Science and Artificial Intelligence team (DDSAI). The role will be located on site at one of our offices in Spring House, PA;
Cambridge, MA;
Titusville, NJ;
Raritan, NJ; or San Diego, CA. The position does not offer a fully remote option.

• Serve as a people leader and hands‑on contributor accountable for the end‑to‑end design, development, and operation of scalable AI‑enabled data products supporting Oncology R&D.
• Drive integration of diverse data sources (e.g., biomarker labs, real‑world data, pre‑clinical and translational systems) into high‑quality, reusable, AI‑ready assets.
• Partner closely with Oncology R&D and Data Science stakeholders to shape, prioritize, and deliver against business‑critical use cases. Translate complex scientific and operational needs into robust data products and AI systems that accelerate decision‑making, improve study execution, and enhance probability of success.
• Collaborate with domain experts – Ontology, Knowledge graph, and Data Product Engineers – to design and deliver future‑proof, AI‑ready data systems aligned with Oncology Strategy.
• Implement standard enterprise‑level data models and create new data models as needed.
• Leverage cloud‑based technology platforms to accomplish data and AI goals.
• Lead the design and optimization of data pipelines and AI workflows for structured and unstructured data using technologies such as Python, SQL, AWS services, and other relevant tools. Mentor and onboard new team members.
• Implement quality and performance standards and measure key performance indicators (KPIs) to determine accuracy and consistency.
• Lead the team in the development of Agile practices and agentic AI coding tools.
• Act as a thought leader across Data Science, Engineering, and Oncology domains, ensuring alignment with broader data product strategy and avoiding duplication through reuse and standardization.

• Advanced degree (Master’s or equivalent) in Computer Science, Engineering, Life Sciences, or related field. Bachelor’s Degree with experience equivalency may be considered.
• 6+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry.
• Proficiency in agentic AI coding tools (e.g., Claude Code, Codex).
• Proficiency in data engineering tools such as Python and SQL for data processing and cloud architecture (e.g., AWS services, Redshift, FSx, Glue, Lambda).
• Experience with unstructured database technologies (e.g., No
  
  SQL) and other database types (e.g., Graph).
• Strong skills in analysis, problem‑solving, organizational change, project delivery, and managing external vendors. Proven record leading improvement initiatives with multidisciplinary and remote partners. Demonstrated stakeholder management capabilities, including requirements gathering, business analysis and planning, and the ability to translate discussions into user requirements and project plans.
• Ability to manage numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
• Willingness to conduct periodic travel (