TAKAFO — Mubadala's AI-Powered Talent Ecosystem

Mubadala needed a single platform to manage the full employee lifecycle, covering recruitment, hiring, onboarding, talent development, and succession planning, for a large, multi-entity workforce. The existing process was fragmented across disconnected tools: recruiters worked from spreadsheets and email threads, internal referrals had no structured pipeline, and internal mobility was tracked manually if it was tracked at all. That fragmentation slowed hiring decisions, made it hard to see who inside the organization was ready for a new role, and left leadership without a unified view of workforce capability across Mubadala's entities.

I led AI vision and innovation strategy for TAKAFO, identifying where Generative and Agentic AI could meaningfully improve decisions rather than add complexity for its own sake. That started with AI-driven candidate matching and AI-assisted screening, so recruiters could compare applicants against role requirements faster and more consistently instead of relying on manual resume review, and a VIP Referrals module that gave priority pipelines the structure and visibility they'd been missing.

Beyond hiring, I managed the specialized modules that carried employees through their career at Mubadala: an AI Talent Marketplace for internal mobility, surfacing open roles to employees whose skills matched, and Grow, a career and learning management system pairing skills data with development paths, so growth plans were tied to real capability gaps rather than generic training catalogs.

My role sat at the intersection of product strategy, stakeholder alignment, and AI feasibility. That meant running discovery workshops with HR and business stakeholders, defining requirements and success metrics for each module, evaluating what was realistic given data quality and model constraints, and translating all of it into a roadmap engineering could build against, then iterating with stakeholders as the platform moved from concept to production.

The result is a cohesive talent ecosystem where AI-assisted matching, referrals, internal mobility, and learning all operate on shared workforce data instead of siloed systems. Mubadala's talent teams now make faster, more consistent decisions across the entire employee journey, from first application through internal career growth, and leadership has the unified workforce visibility the previous tooling never provided.