Head of AI Enablement and Programme Management
Reporting to VP Digital Disciplines, Data and AI, this role preserves business autonomy while orchestrating cross-enterprise AI initiatives. The goal is to scale AI responsibly, accelerating adoption and generating repeatable enterprise value.
Overview
AI experimentation is accelerating across our business lines—from predictive analytics to optimization, automation, and commercial operations. As initiatives multiply, there is a need for enterprise visibility, prioritization, and coordination to avoid duplication, manage risk, and accelerate scale‑up safely.
Responsibilities
* Establish enterprise visibility into AI initiatives, enabling prioritization, progress tracking, and value realization.
* Promote a shared AI fabric, an enablement playbook, and lightweight readiness standards across the organization.
* Re‑use learning and tools across business units, ensuring benefits from one BU bring value to others.
* Proactively manage vendor and investment risk to prevent duplication or lock‑in.
* Provide the Digital Leadership Team with data‑driven insights into AI maturity, dependencies, and business impact.
* Lead and maintain a unified portfolio of high‑value AI programs across all lines.
* Act as the primary liaison to BU VPs of Digital, aligning priorities, budgets, and resources for top AI opportunities.
* Chair the AI Program Review cadence, producing standardized reporting and executive dashboards for progress, risk, and impact.
* Develop and maintain the AI Delivery Playbook, defining readiness criteria, governance checkpoints, and evaluation standards.
* Embed enterprise standards for safety, ethics, and lifecycle management across all AI engagements.
* Build enablement assets and toolkits to help business teams deploy AI responsibly and repeatably.
* Connect AI specialists, engineers, data scientists, UX researchers, product managers, and others into cohesive delivery rhythms.
* Translate field feedback into prioritized updates for the AI Platform and Digital Delivery roadmaps.
* Design and maintain an AI Delivery Dashboard, integrating data from project trackers, model registries, and performance logs.
* Establish feedback loops to capture lessons learned, share success stories, and refine delivery methods.
* Drive measurable improvements in deployment cycle time, model adoption, and cross‑BU reuse.
Skills & Experience
* Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, Data Science, Business, or equivalent work experience.
* Master’s degree or MBA in one of the same disciplines or equivalent experience.
* Combined deep experience in product management, data & analytics, software engineering, and/or program management.
* Managing teams and cross‑functional leadership experience.
* Strong collaboration across matrix organization.
* Experience in developing capabilities at scale organizations.
Differential / Desirable
* Specialization in AI/ML—understanding of ML infrastructure, data governance, and ethics.
* Certified Program Management (PMP, PMI‑ACP, PSPO, SAFe).
* Customer‑centric, agile, commercial focus on unlocking value through digital technology.
* Growth‑minded with a passion for learning emerging technologies for business value.
* Digitally enabled, data‑driven, and passionate about commercially feasible customer‑focused offers.
* Master’s backlog management, prioritization across complex global portfolios, and agile/Waterfall hybrid program management.
Why Join Us
At bp, you’ll shape outcomes across diverse business units and be part of an inclusive environment where innovation and collaboration thrive. We invest in growth and well‑being, offering competitive pay, bonuses, share options, and flexible benefits tailored to your needs.
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