Enterprise AI Product Manager

Position Summary

The Carlyle Group's Enterprise AI team within Enterprise Tech & Data (Global Technology & Solutions) is seeking a forward‑thinking, technically fluent Senior AI Product Manager to support the strategy, platform management, and enablement programs of the Enterprise AI team. This role reports to the Principal, Head of Enterprise Productivity Solutions and works across a highly collaborative, cross‑functional team environment. The ideal candidate is a strong communicator, team player with executive presence and business acumen, and has hands‑on experience with AI productivity and coding platforms in a fast‑paced, regulated environment.

Experience in financial services or alternative investments is strongly preferred.
In‑Office Requirement: 4 days per week.

• Support the definition and execution of the Enterprise AI team roadmap, identifying and prioritising high‑impact AI use cases across business verticals and translating them into actionable product and solution plans.
• Stay current on the rapidly evolving AI landscape, including developments from key AI labs, emerging platforms, and new capabilities relevant to Carlyle’s use cases and strategic priorities.
• Partner with business users, vertical tech teams, and the Data Science team to surface, scope, and prioritise AI opportunities that deliver measurable business value.

• Demonstrate hands‑on technical proficiency in designing and building AI‑powered solutions from concept through production.
• Lead end‑to‑end solution delivery: prototype and test concepts, vet approaches with stakeholders, coordinate security and compliance review, pilot with users, and product ionise and maintain solutions once deployed.
• Own the ongoing quality, iteration, and performance of solutions post‑launch, incorporating user feedback and usage data to continuously improve outcomes.
• Collaborate with business users and vertical tech teams to co‑develop solutions that address real workflow needs, ensuring what is built is practical, scalable, and aligned to firm standards.

• Support ownership and management of enterprise AI platforms (productivity and coding solutions) across their full lifecycle from evaluation through deployment and ongoing adoption.
• Manage vendor relationships with key AI lab partners and vendors, tracking roadmap developments, identifying new capabilities, and exploring emerging AI tools and startups.
• Ensure platforms align with enterprise architecture, governance standards, and user needs, driving measurable adoption and value.
• Serve as a knowledgeable advisor to teams across the firm on available AI platforms and capabilities, guiding teams toward existing solutions before introducing new tooling while maintaining a financially responsible, non‑redundant portfolio.

• Support and help execute the soon‑to‑be‑launched “Empower AI” program, including firm‑wide AI training, communications, and enablement initiatives that build AI fluency and confidence across Carlyle employees.
• Contribute to the Citizen Developer Program, supporting structured pathways that empower employees to build their own AI‑powered capabilities within enterprise guardrails.
• Serve as a trusted partner to business users, vertical tech teams, and the Data Science team, helping identify workflows and use cases where AI can drive meaningful value.
• Drive adoption of enterprise AI platforms through proactive training, communications, and user engagement, promoting a culture of responsible AI experimentation.
• Help drive the usage and adoption data infrastructure for enterprise AI platforms, analysing metrics to derive insights, identify gaps, and drive depth of adoption.
• Regularly report on platform adoption, usage trends, and outcomes to the Enterprise AI team lead and GTS leadership, using data to inform prioritisation and demonstrate business value.

• Ensure adherence to Carlyle’s AI governance policies, working with Legal & Compliance and Security to coordinate tool evaluation, pilot structuring, security review, and ongoing policy compliance across…