Director, CoE Strategy & AI Innovation

Summary:

The Director, CoE Strategy & AI Innovation is the operational and innovation engine of BMS's Global Market Research (MR) Center of Excellence (CoE). This role is responsible for designing and operationalizing the CoE's operating model, building and governing the enterprise MR AI product roadmap, and ensuring that shared Market Research capabilities are built, adopted, and continuously improved across all Therapeutic Areas (TA) and Business Units (BU).

This leader establishes how the CoE functions in an advisory capability, defining how TA and BU teams engage CoE expertise, how standards are collaboratively developed and endorsed, and how AI-enabled research tools are governed and scaled. This role serves as the primary architect of the MR AI transformation, translating the vision of a capability-first, innovation-led CoE into a functioning operating reality.

The Director, Global Market Research CoE Strategy & AI Innovation reports directly to the Executive Director, Global Market Research, and serves as the CoE's primary internal integrator, reconciling requirements from TA and BU stakeholders, managing the AI product roadmap, and ensuring the CoE's enterprise-wide commitments are met with consistency and credibility.

Responsibilities:

Build and Operate the Circle of Excellence Operating Model

• Design the CoE's operating model from the ground up, defining how TA and BU teams engage CoE capabilities, what is available on a pull-based self-serve basis, and what requires direct CoE advisory involvement
• Establish the engagement model between the CoE and TA/BU MR teams including how capability requests are submitted, how the CoE prioritizes its roadmap, and how platform adoption is tracked and supported
• Define and run a governance body through which TA MR leads provide requirements, test new capabilities, and align on shared platform standards
• Develop and maintain the CoE's operating documentation: capability catalogues, engagement guides, onboarding materials, and platform governance policies used by all BU and TA stakeholder teams
• Establish the decision logic that determines which research activities are best supported by CoE-built platforms versus those that are fully self-managed by TA teams

Own the MR AI Capability Roadmap

• Serve as Business Product Owner for all Market Research AI solutions, including self-serve rapid research tools, and AI-assisted analysis capabilities
• Intake capability requirements from TA and BU MR leaders, reconcile competing priorities, and translate them into a sequenced, resource-realistic platform roadmap
• Define the use cases, user requirements, and success criteria for each capability on the roadmap, in close partnership with technology and data science delivery teams
• Ensure all CoE-built platforms are designed to be TA-agnostic (flexible enough to serve diverse TA and BU contexts without requiring TA-specific customization at the core)
• Govern how platforms are released, adopted, and iterated, establishing feedback loops between TA users and the CoE product team that drive continuous platform improvement
• Monitor the external AI and MR technology landscape, evaluate emerging platforms and vendors, and make build-versus-buy recommendations to the Executive Director
• Own the CoE's vendor governance function including the preferred supplier framework for MR platforms, and oversight of platform vendor performance against CoE capability standards

Govern Platform Use and Quality

• Establish the governance guardrails for how CoE-built tools and platforms are used across TA