Teams at Meta Resources Group

Leads enterprise AI, ML, and GenAI programs from ideation through production, coordinating engineering, data science, MLOps, product, security, and business teams. Owns roadmaps, governance, delivery, risk, stakeholder communication, value realization, and operational readiness. Also manages data governance and cataloging initiatives involving metadata, lineage, stewardship, data quality, Collibra or comparable platforms, responsible AI, privacy, and compliance.

Lead end-to-end delivery of enterprise AI/ML/GenAI programs from intake through production and value realization. Coordinate cross-functional teams (Product, AI Engineering, Data Science, MLOps, Security), manage roadmaps, risks, budgets, and governance within Agile/AI Factory operating models. Drive Value-Based Delivery, Responsible AI compliance, deployment readiness, executive reporting, and post-production stabilization while mentoring teams on AI-tailored Agile practices.

Lead enterprise IT projects from initiation through closeout within a flexible PMO model. Responsibilities include managing plans, schedules, budgets, resources, risks, issues, dependencies, governance, stakeholder communications, vendors, and distributed teams. The role uses ServiceNow for project tracking, dashboards, reporting, workflow management, documentation, and PMO governance. Projects may span multiple technology functions, business areas, geographies, and changing priorities.