You are an experienced, Supply Chain Enterprise Program Manager who will lead the end-to-end delivery of a multi-year enterprise AI solution designed to improve how our supply chain operates. This role requires strategic ownership of program direction and delivery outcomes. You own the strategic direction of a complex program, drive structured decision-making across ambiguous problem spaces, and hold both internal teams and external partners accountable to defined milestones and quality standards. You operate at the intersection of AI/ML technology, enterprise systems architecture, and real-world supply chain operations, bridging the gap between what's technically possible and what delivers measurable business transformation.
Responsibilities
- Partner internally with Enterprise Engineering and externally with solution partners to define and own the multi-year program roadmap, milestones, and success criteria for the enterprise AI solution across Reality Labs Supply Chain
- Translate ambiguous business problems into structured, executable program plans with clear decision frameworks and exit criteria
- Own the problem definition, requirements, and acceptance criteria, acting as the voice of supply chain operations in technical decisions
- Drive alignment and accountability across engineering, data science, operations, finance, and vendor teams with uncompromising directness and clarity
- Negotiate scope, timelines, SLAs, and deliverables with external technology partners and system integrators, holding them to outcomes, not activity
- Build and maintain executive-level relationships across the organization to secure sustained sponsorship, funding, and resource commitment for a multi-year horizon
- Leverage deep, hands-on experience with supply chain systems (ERP, WMS, TMS, planning/optimization platforms) to pressure-test technical designs against operational reality
- Bring firsthand knowledge of supply chain operations (procurement, logistics, inventory, demand planning, or fulfillment) to anticipate failure modes, edge cases, and change management challenges that technologists miss
- Establish and enforce the operating model, decision rights, and escalation paths that allow the program to move fast while maintaining quality and alignment
Minimum Qualifications
- 12+ years of experience in technical program management, systems implementation, or supply chain technology — with at least 5 years leading large-scale, cross-functional programs
- Demonstrated experience delivering enterprise-grade systems implementations (AI/ML, ERP, or large platform programs) from inception through production scale
- Deep, practitioner-level knowledge of supply chain operations and systems — you've been in the trenches, not just adjacent to them
- Proven track record of managing complex external partner/vendor relationships with high-stakes deliverables and contractual accountability
- Ability to operate independently: setting direction, influencing without authority, and driving outcomes across VP+ stakeholders Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Track record of defining processes and frameworks in environments with limited existing structure
- Familiarity with supply chain platforms (Oracle, o9, or equivalent)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Background that blends technical depth (data platforms, systems integration, API architectures) with business acumen (ROI modeling, change management, organizational design)
- Experience with AI/ML solution deployment in operational environments (demand forecasting, optimization, anomaly detection, or similar)