Global Delivery Director- GenAI Enablement

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

The Global Delivery Director – GenAI Capability Enablement is responsible for driving the design, delivery, and scale of BCG’s global Generative AI (GenAI) enablement strategy. This role ensures that GenAI technologies are deployed securely, responsibly, and efficiently across BCG: enabling business value creation, productivity, and innovation at scale.

The Director will oversee the end-to-end enablement of GenAI capabilities: from model integration and agent orchestration to governance, security, and adoption, across BCG Core, BCG X, and CT functions. This includes establishing platform standards, ensuring responsible AI use, and orchestrating a cohesive GenAI ecosystem that supports use case acceleration across lines of business.

The role requires strong cross-functional leadership, technical depth in AI platform engineering, and the ability to translate emerging AI technologies into scalable enterprise capabilities.

Key Responsibilities

• Strategic Leadership & Transformation
  • Define and execute BCG’s global GenAI enablement strategy, aligning with firmwide AI, data, and digital transformation objectives.
  • Drive the design and delivery of scalable GenAI platforms that enable secure, compliant, and reliable use of foundation models and AI agents across the enterprise.
  • Establish an enterprise GenAI architecture and delivery framework, including model orchestration, retrieval-augmented generation (RAG), prompt engineering, and agent mesh design at scale.
  • Work closely with the Capabilities Team to stay informed on the latest capability releases and ensure alignment on enablement requirements.
  • Build alignment with functional and business stakeholders to ensure AI capabilities deliver measurable value and are adopted responsibly.
  • Advise on best architecture practices based on end-user feedback, and feed these insights back to establish benchmarks for future capability builds with Capabilities team.
  • Champion Responsible AI principles, ensuring fairness, transparency, and accountability are embedded in all AI-driven solutions.

• AI Platform Engineering & Enablement
  • Lead the implementation of GenAI platform services, including model lifecycle management, API integration, vector databases, and prompt orchestration frameworks.
  • Enable and govern the AI agent ecosystem, ensuring interoperability, security, and performance consistency across multiple use cases and teams.
  • Collaborate with the Data, Security, Capabilities Build, and Infrastructure teams to ensure secure data access, compliance alignment, and protection of sensitive information used in AI workflows.
  • Drive automation of AI deployment pipelines, environment provisioning, and monitoring for large-scale AI workloads across cloud and hybrid environments.

• Operational Excellence & Reliability
  • Apply Site Reliability Engineering (SRE) principles to AI platform operations: ensuring high availability, observability, and proactive incident response.
  • Define service-level objectives (SLOs) and reliability metrics for GenAI services and tools.
  • Establish continuous evaluation of model performance, drift detection, and quality assurance of AI outputs.
  • Oversee change management, release readiness, and lifecycle governance for AI agents, APIs, and foundational services.

• Governance…