Lead a team to develop technical requirements for Oncology-facing data products that enable AI applications.
Attract, upskill and retain top talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and JJT.
Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence.
Partner with Knowledge Management, Data Platforms & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.
In close partnership & lead a team that works with key business partners, externally source, engineer, develop and deploy impactful and scalable AI solutions for Oncology.
Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data.
Establish and work with governance models, agile delivery processes, and value-tracking metrics for Oncology data products and AI tools.
Champion data literacy and adoption within the Oncology TA.

Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar.
Minimum of 10 years of post-academic, industry, or equivalent experience.
Experience with diverse, high dimensional data sets, such as multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data.
Extensive experience in creating scalable and impactful data-driven solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.).
Strong experience in people leadership, and ability to work in a matrixed organization.
Deep knowledge of data products, database design, data transformation/mapping.
Excellent communication skills and strategic thinking capabilities.

medical
dental
vision
life insurance
short
and long-term disability
business accident insurance
group legal insurance
pension plan (retirement plan)
401(k)
Vacation – up to 120 hours per calendar year
Sick time
up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time
up to 40 hours per calendar year

Senior Director, Oncology Data – AI Systems

Key skills