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Senior Director, Head of Commercialization Data and AI Delivery

  • Source: Workday
  • Bristol Myers Squibb
  • $237,070 to $287,267 /yr
  • Hybrid
  • Princeton
  • Full-Time
  • C level

Job Description

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

Position Summary:

Bristol Myers Squibb is building an internal, Databricks-native data and AI organization for Commercial, Medical, and Market Access. The Head of Commercialization Data & AI Delivery will lead this transformation. This role owns a major platform migration effort. It also carries responsibility for building the team, standards, and delivery model needed to sustain the platform on Databricks after migration.

This is a builder-operator role with a clear path to broader leadership opportunities. The successful candidate will run the daily work of the transformation to Databricks. They will evolve the current external delivery model into a stronger internal capability. They will build stakeholder relationships and organizational credibility. Over time, this leads to expanded leadership of the Commercialization Data & AI function.

The Head of Commercialization Data & AI Delivery reports to the Executive Director, Commercialization Data & AI. This role will build and shape the Platform Engineering and AI/ML & Analytics functions for Commercialization. This includes hiring their senior technical leaders.

Key Responsibilities:

  • Set the operating model and standards for how Commercialization Data & AI delivers, with decisions that affect the function’s ability to meet its commitments
  • Lead the transformation of Commercialization Data & AI toward a stronger internal delivery model
  • Manage a significant external delivery partnership through a structured evolution of scope
  • Build and hire senior technical leadership for Platform Engineering and AI/ML & Analytics
  • Lead a combined US and India-based engineering organization
  • Partner with Enterprise Data Platforms to hold delivery work to enterprise architecture and governance standards
  • Own the pace of the transformation, including hiring sequence, migration milestones, and vendor knowledge transfer
  • Engage directly with executive-level stakeholders across Commercial, Medical, and Market Access, including negotiation of vendor and delivery commitments
  • Set engineering standards for code review, testing, documentation, and data product delivery
  • Build the credibility and judgment needed for expanded leadership of the function

Qualifications & Experience:

  • 15+ years of experience in data engineering, data platform, or technology delivery, including at least 10+ years in a people leadership capacity managing engineering or technical organizations of significant size
  • Experience leading a data organization through a real technology or platform transition, not just steady-state operations
  • Direct experience managing an external systems integrator or managed-services relationship through a shift to internal delivery, ideally at multi-million-dollar scale
  • Working knowledge of modern cloud data platforms (Databricks, Snowflake, or similar) strong enough to evaluate technical hires and hold teams to a standard
  • Experience building and leading distributed engineering teams, including offshore delivery centers
  • Experience in a regulated industry (pharma, life sciences, financial services, or healthcare) preferred
  • A track record of building structure, standards, and discipline in ambiguous environments
  • Strong executive presence and experience working directly with business leaders outside IT
  • Bachelor’s degree in a relevant technical field required; advanced degree a plus

*If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away fro…

Skills

  • azure-databricks
  • databricks
  • aws-managed-services
  • Snowflake
  • workday

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