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BCG AI Factory Executive Director

Job in Molesey, Esher, Surrey County, KT10, England, UK
Listing for: code4
Full Time position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer
Job Description & How to Apply Below
Location: Molesey

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation‑inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom‑line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading‑edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What

You’ll Do
  • Strategy & Vision: *
  • Define and implement the long‑term vision for how the AI Factory builds and scales AI offers as BCG’s Practice Areas’ central AI and digital product engineering hub.
  • Partner with the Chief Product Office (CPO) and global leadership to integrate fragmented tech capabilities into a unified, high‑performance engineering unit.
  • Ensure full alignment with BCG’s PAs, BCG X, IT priorities to deliver firmwide scalable, reusable and compliant AI solutions.
  • Leadership & Governance*
  • Lead and inspire a 250+ person multidisciplinary engineering organization, covering product engineering, AI / ML, UX, data and platform design.
  • Co‑chair the AI Factory governance forum with the CPO, and represent the unit in global leadership forums.
  • Define operating principles, establish operational KPIs and performance dashboards covering delivery efficiency, quality, user adoption, and ROI.
  • Shape the AI Factory’s governance model, setting direction, priorities, and investment allocations across initiatives.
  • Define the AI Factory’s operating model, including its interaction with Practice Areas and other areas of BCG (e.g. IT and BCG X).
  • Set and review the budget of the AI Factory, in partnership with the CPO.
  • Organization build‑out*
  • Lead the integration of the multiple existing units that will be combined into a cohesive AI factory organization.
  • Design and ope rationalise the organizational structure required to build and maintain digital solutions and the platform to support them, spanning core build pods, platform teams and enablement functions build & maintain digital solutions.
  • People & Talent*
  • Define and execute a resource, recruiting strategy and workforce plan (including location, integration of temporary resources, budget management and outsourcing strategy) to fill capabilities’ gaps.
  • Partner with People and HR functions to strengthen the AI Factory’s Employee Value Proposition training pathways and retention strategies.
  • Build a high‑performing engineering and leadership team that reflects BCG’s diversity and inclusion commitments.
  • Oversee capability development and role harmonisation from the integration of multiple existing units.
  • Engineering Excellence*
  • Define and implement agile, scalable delivery models for building and maintaining AI and digital tools.
  • Establish best‑in‑class engineering practices, including CI / CD, code quality, observability and documentation standards.
  • Define and set up platform in partnership with corporate platform teams, with reusable components required to accelerate product development.
  • Oversee continuous improvement in engineering practices, ensuring adherence to best‑in‑class development standards.
  • Oversee security, privacy and compliance for all AIF products in partnership with IT and Legal.
  • Innovation & Commercial Impact*
  • Establish engineering metrics to validate technical product performance as well as customer satisfaction and adapt approach based on feedback and learnings.
  • Translate lessons from current builds into reusable components and frameworks to reduce time‑to‑market for future offers.
  • Partner with the Product Strategy Lead and the CPO (Chief Product Officer) to drive and monitor commercial performance, and to capture feedback to drive product innovation that amplifies…
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