Boston Consulting Group
Global Product Director

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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
As a Global Product Director – AI Innovation, you will lead BCG’s Global AI Innovation agenda through the CT Zero to One squad. You will guide the team in rapidly turning high-potential AI ideas into working prototypes, using focused sprints to test concepts, gather evidence, and determine what has the potential to become an enterprise-ready product.
You will provide senior product leadership from early opportunity identification through prototype delivery and validation. Working in an environment where requirements are often still emerging, you will create clarity around the problem to solve, set priorities, and mobilize multidisciplinary teams to build and learn quickly. You will ensure promising innovations move beyond experimentation with a clear path toward enterprise readiness and scaled product ownership.
Responsibilities include:
- Set the global product direction for AI Innovation, translating emerging opportunities and BCG priorities into a focused pipeline of product experiments.
- Lead the CT Zero to One team, creating the conditions for multidisciplinary teams to move from idea to working prototype within a small number of focused sprints.
- Frame opportunities and define clear hypotheses, user needs, success measures, and decision points before teams begin prototyping.
- Guide rapid prototype development and experimentation, using evidence and user feedback to determine what should advance, iterate, pivot, or stop.
- Drive promising prototypes toward enterprise readiness, identifying the product, technology, risk, and operational requirements needed for successful transition.
- Partner across Consulting Practice Areas, AI and technology, product, engineering, and design to bring the right expertise into each innovation effort.
- Establish repeatable zero-to-one ways of working that increase the speed and quality of innovation while creating a clear path from prototype to scalable product.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
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Why you're a good match
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YOU’RE GOOD AT
- Setting a clear product vision and direction for Global AI Innovation, translating emerging opportunities into focused priorities and investment decisions.
- Leading the CT Zero to One squad, rapidly turning business needs and emerging AI capabilities into hypotheses, prototypes, experiments, and validated product opportunities.
- Moving from idea to working prototype within a small number of focused sprints, creating clear outcomes, success measures, and decision points that accelerate learning.
- Making disciplined decisions about what to explore, build, advance, pivot, or stop, balancing user value, business impact, technical feasibility, responsible AI, and risk.
- Driving promising prototypes toward enterprise readiness, identifying what is required to transition validated innovations into scalable, sustainable product capabilities.
- Influencing senior leadership and aligning global product, business, AI, technology, engineering, architecture, and design partners around priorities and investment decisions.
- Leading multidisciplinary teams through ambiguity, providing clear direction while empowering teams to experiment, learn quickly, and deliver.
- Managing a dynamic pipeline of AI innovation opportunities, balancing emerging demand, experimentation capacity, potential impact, and readiness to advance.
- Communicating complex AI, technology, and product topics clearly, building alignment and driving decisions across technical and nontechnical audiences.
- Strengthening zero-to-one innovation practices, creating repeatable ways of working that accelerate prototyping, validation, learning, and transition to enterprise-scale ownership.
What You'll Bring
- 10–12+ years of relevant experience, including significant product leadership across AI, data, or enterprise technology products.
- Demonstrated success taking emerging ideas from early discovery and experimentation through validation and product investment decisions.
- Strong understanding of AI and GenAI capabilities, data platforms, and the technical foundations required to build scalable products.
- Ability to frame highly ambiguous problems, make evidence-based trade-offs, and translate emerging opportunities into clear product direction.
- Proven success influencing senior leaders and aligning global, cross-functional teams around complex product priorities and investment decisions.
- Experience leading and developing multidisciplinary teams while creating clarity, accountability, and space for rapid experimentation.
- Strong customer orientation and business judgment, connecting user needs, technology possibilities, and measurable business value.


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These expectations retain the experience precedent of the source JDs while aligning the leadership scope to MSD3 expectations for deep expertise, complex problem solving, broad business impact, influence, collaboration, and people leadership.
Who You'll Work With
- BCG Global Consulting Practice Areas (Functional & Industry) and Data teams: the Data Product Portfolio, Data Governance CoE, Master Data Mgmt., Enterprise Data Modelling, and Data Product development teams
- BCG IT, Knowledge Team and PA Specific data teams: business intelligence and analytics, operations, and technical teams, among other business functions
- BCG Leadership: Heads of IT, Consulting / Practice Areas, Knowledge Function, and Enterprise Services among other business functions.
- The Data Governance network: Data Owners, Stewards, and Data Governance Directors
- Data Layer Team – Collaborating closely with data engineers, lead enterprise architects, data stewards, data product analysts, and QA engineers to develop, maintain, and enhance BCG’s data products and infrastructure.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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