AI Transformation Management Office (TMO) Lead

Key Responsibilities

• Maintain a single, portfolio-wide view of every AI initiative across all portfolio companies: scope, status, owner, timeline, dependencies, risks, and value.
• Run the governance cadence — stage-gates, steering reviews, prioritization, and resource-allocation decisions — in partnership with the CAIO and Vertical Leads.
• Manage cross-initiative dependencies, sequencing, and bottlenecks across companies and partners.
• Drive initiatives through a consistent delivery lifecycle from intake and prioritization through design, build, deployment, and value realization.
• Surface risks and blockers early and drive them to resolution; keep the program honest about what is on track versus at risk.
• Bring high-level technical and architecture judgment Engage credibly with the AI Solution Architect, portfolio-company technical teams, and implementation partners on solution design at a high level — enough to assess feasibility, scope, effort, and risk, and to challenge weak plans.
• Translate between business objectives and technical delivery: ensure initiatives are scoped against sound architecture and realistic timelines, not optimistic assumptions.
• Spot when a proposed approach is over-engineered, under-scoped, or architecturally unsound, and escalate to the Solution Architect appropriately.
• Recognize reuse opportunities — where a solution built for one company can be redeployed elsewhere — and route them into the shared-pattern library.
• Orchestrate partners and resources Coordinate the ecosystem of external implementation partners, vendors, and internal teams across concurrent initiatives — managing scope, timelines, and handoffs.
• Track partner delivery against milestones and acceptance criteria (set by the Solution Architect), and manage escalations.
• Allocate and balance scarce resources (talent, partner capacity, budget) across competing initiatives in line with firm priorities.
• Own value realization and reporting Define and run the measurement discipline that ties every initiative to financial and operational outcomes; track value captured versus planned.
• Produce clear, decision-useful reporting for the CAIO, firm leadership, and the Investment Committee on portfolio AI progress, value, risks, and pipeline.
• Identify initiatives that are underperforming and drive decisions to fix, re-scope, or stop them.
• Build the transformation operating model Establish and continuously improve the TMO's tools, templates, intake process, and delivery playbook so the program scales as the portfolio grows.
• Capture lessons across initiatives and feed them back into prioritization, standards, and partner management.
• Support diligence and onboarding of new acquisitions into the AI program, ensuring each new company plugs into the established operating model quickly.

What This Role Is And Is Not

• portfolio-wide program leadership, governance and cadence owner, cross-initiative coordinator, technically credible challenger of feasibility and design, value-realization tracker.
• Is not: a hands-on software engineer or the deep design authority (that is the Solution Architect), nor the owner of sector value theses (that is the Vertical Leads).

Required

• 10+ years in program/transformation leadership, with experience program-managing large, complex, multi-workstream digital transformation or AI programs across organizations.
• Direct, hands-on involvement in actual AI/ML implementations in prior roles — the candidate has been in the room delivering real AI solutions, not only managing schedules; sufficient technical depth to engage on architecture at a high level and judge feasibility.
• Demonstrated ability to drive delivery and coordinate partners across businesses and teams you do not directly control.
• Strong grasp of modern AI systems (LLMs, agents, data/integration, evaluation) at a level that supports credible technical judgment.
• Commercial and financial fluency; able to tie initiatives to value and to communicate with PE leadership and an Investment Committee.
• Exceptional organization, communication, and stakeholder-management skills; calm under competing priorities.
• Willingness to travel and operate across many portfolio companies.

Preferred

• Prior experience in private equity, portfolio operations, or a multi-company / management-consulting environment.
• Experience standing up and scaling a transformation or program-management office.
• Exposure across multiple industries and AI use-case types.

What We Offer

• Competitive compensation with performance-based bonuses along with daily lunch allowance
• Comprehensive career development through challenging opportunities, hands-on training, dedicated mentorship programs, and our PG Academy learning platform for continuous growth
• Global professional environment with international exposure, collaborative culture, and opportunities to learn the business from industry leaders and seasoned professionals
• Premium facilities including state-of-the-art building, diverse on-site dining options, and complimentary gym access with fitness classes
• Community engagement through office events, team activities, and volunteer opportunities to connect with local communities
• Sabbatical program — one month off after every five years of service to recharge and explore
• Partners Group compensation has a long-term outlook and philosophy, and our total compensation emphasizes performance based long term incentives.