BCG X Global PA AI Strategy & Portfolio Senior Manager

Overview

In this role you will shape and govern a portfolio of agentic AI assets across practice areas, translating business priorities into a measurable AI product portfolio. You will work with PA leaders, DPMs, and X teams to ensure alignment and value creation across PA, BU, and firm levels. The position emphasizes governance, investment decisions, and performance insights to drive adoption and impact. This is a strategic, cross-functional leadership role in a fast-evolving AI-driven transformation, offering a chance to influence portfolio competitiveness and reuse.

Responsibilities

• Define portfolio vision and governance standards across assets and stakeholders
• Manage stage-gate criteria for build/scale/pivot/sunset decisions
• Balance portfolio across maturity, innovation, and reuse potential
• Advise on buy-or-build decisions and funding trade-offs
• Maintain transparency on portfolio performance, risks, and ROI
• Support budget prioritization and annual planning for the portfolio
• Develop performance metrics and dashboards for assets
• Navigate internal investment mechanisms and billable economics
• Base prioritization on quantitative insights like adoption and ROI
• Facilitate portfolio review forums and escalation pathways
• Coach product managers and stakeholders on governance and commercialization
• Promote reusability and modularity across PA assets
• Scan for emerging tech and market shifts to stay competitive

Key requirements

• 8–10 years of relevant experience combining consulting or professional services with product management
• Experience managing a portfolio of AI-powered offers with investment decision accountability
• Understanding of product lifecycle management (ideation to sunset)
• Familiarity with PA structures and client economics
• Experience with governance frameworks and stage-gate processes
• Technical literacy to engage on AI product architecture, scalability, and data governance
• MBA or similar Master’s degree preferred

• influence senior stakeholders
• strong business acumen
• clear communication with senior audiences
• AI product architecture understanding
• data governance awareness
• scalability and system integration knowledge

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