Director - AI Product Management (Enterprise Forecasting)

Flex•Austin, TX

About The Position

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary Located in Austin TX and Reporting to our VP of Enterprise AI Strategy, we are eagerly looking to hire a Director Enterprise AI Product Management for our Enterprise Forecasting . The AI Product Manager – Enterprise Forecasting is responsible for shaping, orchestrating, and scaling AI‑powered forecasting capabilities across the enterprise. This role spans the full manufacturing value chain, from customer demand forecasting through supply chain planning, material requirements planning (MRP), factory scheduling and shop‑floor intelligence, and enterprise financial forecasting. This leader will identify high‑value opportunities to leverage advanced analytics and AI; translate manufacturing, commercial, and operational needs into clear AI product requirements; and drive delivery through close collaboration with business stakeholders, digital & data teams, and the AI Engineering & Lab. The role emphasizes strategic alignment, roadmap ownership, cross‑functional orchestration, and business value realization.

Requirements

10+ years of experience in product management, AI/ML product ownership, or enterprise forecasting roles.
Deep knowledge of forecasting across at least one major domain: Customer Demand Planning Supply & Inventory Planning Material Requirements Planning (MRP) Production Scheduling / Factory Planning Financial Forecasting
Experience working with data, analytics, and AI‑enabled solutions in manufacturing or supply‑chain‑intensive environments.
Proven ability to translate business needs into technical requirements and AI solution designs.
Strong leadership, communication, and stakeholder management skills across technical and non‑technical audiences.
Experience leading cross‑functional initiatives in large, matrixed organizations.
Familiarity with agile and iterative delivery methodologies.

Nice To Haves

Experience deploying AI/ML forecasting models (e.g., time‑series, gradient boosting, deep learning).
Understanding of enterprise planning systems (e.g., Onestream, Kinaxis).
Background in manufacturing, industrial engineering, supply-chain analytics, or operations research.
Experience operationalizing AI solutions into factory systems, planning environments, or financial planning processes.

Responsibilities

Develop and own the end‑to‑end AI strategy for enterprise forecasting across Demand, Supply, MRP, Production, and Financials.
Build a multi‑year roadmap of AI forecasting products, including value cases, readiness assessments, and sequencing.
Translate forecasting and planning challenges into well‑scoped AI use cases, including problem statements, success metrics, data requirements, and deployment pathways.
Ensure alignment with enterprise strategy, planning cycles, and digital architecture.
Drive design, testing, integration, and scaling of forecasting AI solutions into operational environments and workflows.
Coordinate delivery across AI Engineering, Data Science, IT, Data Platform, Operations Technology, and functional SMEs.
Ensure the organization is prepared to adopt AI‑driven forecasting tools through clear process design, training, and governance.
Communicate progress, risks, and business outcomes to senior leadership.