AI Lead, Product and Value Delivery

Job Description

The Manager of AI Product & Value Delivery is responsible for translating enterprise priorities into a portfolio of AI-enabled products that drive measurable business outcomes. This leader oversees product strategy, product management, business adoption, and value realization across the AI portfolio. Serves as the connective tissue between business strategy and AI execution, ensuring investments translate into measurable outcomes and that the organization adopts AI in ways that generate durable value.

This leader is responsible for the successful definition, adoption, and value realization of AI products throughout their lifecycle. Accountable for the quality of AI product ownership, the rigor of cross‑functional delivery, and the organization’s ability to demonstrate measurable business value from AI investments.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal‑opportunity/affirmative‑action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 10+ years of experience in product leadership, or a related function in a technology‑intensive environment at an enterprise‑scale.
• 5+ years of formal people management with demonstrated ability to develop high‑performing teams.
• Demonstrated experience managing AI, data, or analytics product portfolios in a complex enterprise environment.
• Demonstrated ability to balance strategy, execution, and governance.
• Demonstrated experience managing value frameworks.
• Experience in oil and gas, energy, or an industrial sector.
• Familiarity with AI lifecycle management, value realization frameworks, and enterprise product operating models.
• Experience standing up a product management function from early‑stage to enterprise scale.