Partner Director, McKinsey Alliance
San Francisco • FullTime
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
OpenAI is seeking a Partner Director, Global McKinsey Alliance to lead and scale its relationship with McKinsey & Company. This pivotal role serves as the single accountable executive owner for the global alliance, responsible for defining the partnership strategy and operating model to translate executive alignment into scaled commercial and transformation outcomes. You will collaborate closely with McKinsey's global leadership, industry and functional practices, and technology organizations, including QuantumBlack and AI by McKinsey, to develop differentiated enterprise AI offerings and pursue complex transformation opportunities. The role demands senior executive presence, sound judgment, commercial discipline, technical fluency, and the ability to navigate a complex, partner-led organization to drive the health, performance, and long-term expansion of the partnership.
Responsibilities
- Own the global McKinsey relationship, including alliance strategy, pipeline growth, enterprise impact, deployment scale, and long-term expansion across priority industries.
- Define and manage the partnership's operating model across executive governance, joint planning, regional execution, opportunity management, resource allocation, and escalation.
- Serve as OpenAI’s senior executive counterpart to McKinsey’s global leadership and relevant industry, functional, technology, and regional leaders.
- Develop a differentiated alliance strategy combining McKinsey's expertise with OpenAI's research, models, products, and technical expertise.
- Build deep working relationships with QuantumBlack and other McKinsey technology and AI teams to develop repeatable solutions and move customer programs from strategy to production.
- Set joint priorities, establish clear ownership, resolve escalations, and coordinate execution across global and regional teams.
- Shape and lead the co-selling of complex, CxO- and board-level enterprise AI transformation opportunities.
- Engage directly with enterprise executives alongside McKinsey leaders to frame AI strategy, operating models, use-case portfolios, governance, adoption plans, organizational change, and value realization.
- Identify priority industries, transformation plays, and lighthouse accounts for differentiated and repeatable customer value.
- Coordinate OpenAI stakeholders across Product, Research, Sales, Solutions Architecture, Technical Success, Legal, Finance, Communications, and Operations.
- Establish clear rules of engagement and guardrails for intellectual property, solution quality, safety, delivery, commercial ownership, and customer accountability.
- Build McKinsey’s capability to position, design, and deliver solutions powered by OpenAI through executive alignment, technical enablement, solution patterns, readiness programs, and disciplined delivery handoffs.
- Develop joint assets and offerings that can scale beyond individual engagements.
- Allocate OpenAI resources based on strategic value, revenue potential, customer impact, repeatability, delivery readiness, and partner performance.
- Build and lead a dedicated alliance pod over time, spanning partner management, technical leadership, enablement, and operations.
- Establish durable reporting, metrics, and operating cadences covering pipeline, conversion, production adoption, customer outcomes, partner readiness, delivery quality, and return on OpenAI investment.
Requirements
- Partner, Senior Partner, Managing Director, or equivalent senior leadership experience at McKinsey, another leading strategy firm, or a top-tier technology or transformation organization.
- Strong combination of technology fluency and commercial leadership across business development, enterprise transformation, industry advisory, GTM, or strategic alliances.
- Proven ownership of a global, multi-year strategic partnership with executive accountability and measurable commercial and customer outcomes.
- Demonstrated success shaping and closing high-stakes, board-level transformation opportunities and moving them from strategy through production deployment.
- Experience designing and scaling operating models between senior, partner-led organizations, including governance, incentives, account planning, staffing, delivery handoffs, and escalation.
- Credibility with senior leaders in strategy consulting and enterprise technology, with a practical understanding of partnership economics, regional structures, and decision-making networks.
- Strong executive presence and the judgment to make tradeoffs, resolve conflict, and maintain momentum under ambiguity and scrutiny.
- Ability to influence Product, Research, Sales, Technical, Legal, Finance, Communications, and partner organizations without direct authority.
- Deep literacy in enterprise AI, data, cloud, security, governance, and organizational transformation, with credibility among CEOs, CIOs, CTOs, CDOs, and other senior executives.
- Experience working with data science, AI engineering, or advanced analytics organizations such as QuantumBlack or comparable groups.
- Industry expertise.