GenAI CoE Lead - Orlando, FL; Hybrid

Generative AI CoE Lead

By combining state‑of‑the‑art data science techniques, cutting‑edge Internet of Things (IoT) technologies, and Software as a Service, we enable a more connected, intelligent and efficient supply chain. We’re creating value from massive, connected data. Our unmatched insights illuminate more than 300,000 supply chains, more than a million customers and partners, and over 300 million physical assets that are constantly on the move around the world.

The Generative AI CoE Lead will spearhead the strategic development, implementation, and governance of Generative AI initiatives across the organization. This senior leadership role demands a visionary with deep expertise in AI technologies and a proven ability to translate cutting‑edge research into scalable, high‑impact business solutions. The Lead will define and evolve the CoE’s operating model, oversee a multidisciplinary team of Data Scientists, AI Engineers, Demand Manager, and Domain Experts, and ensure alignment with enterprise priorities through rigorous use case selection, ethical oversight, and performance measurement.

Key responsibilities include driving innovation through Proof‑of‑Concept (PoC) experimentation, establishing guardrails and governance frameworks, and fostering a culture of AI fluency and responsible adoption.

The scope of the role will be to continue to implement and shape the GenAI strategy which consists of five key pillars around value realization, governance, talent, org & culture, technology and delivery. Following strategize and mobilization phases, this role is now leading the organization through the iteratively scale phase and will eventually lead us through the industrialization phase.

• Lead a team of cross‑functional resources (full/part time FTE’s and contractors/consultants) to deliver GenAI CoE services to the organization, including governance, value mapping, change management and technological change.
• Lead the GenAI CoE core and extended teams through an ongoing meeting cadence and engagement model.
• Evaluate and enable an AI Platform for GenAI engineering lifecycle to scale GenAI Use Cases from pilot or experimentation to enterprise scale deployments.
• Federation and Dissemination – Evangelize and demonstrate Applied AI platform, capabilities and features.
• Facilitate GenAI research and proof of concepts to better understand the potential capabilities and how they may be applied to Brambles use cases.
• Curate and evaluate use cases for value mapping purposes.
• Collaborate with the GenAI Foundry squad to conduct research and develop a global GenAI toolset that will become the foundation of our GenAI capabilities in a federated model.
• Working with the GenAI Foundry, demonstrate rapid exploration and experimentation using an Applied AI Platform.
• Minimize risk to the organization by providing and enhancing governance processes, such as AI assessment, responsible AI practices, GenAI guardrails, ongoing reviews of GenAI initiatives, interaction with work councils, etc.
• Continually review and update the existing GenAI Strategy, Vision, Objectives and Goals to determine if there are any potential gaps or opportunities for improvement.
• Understand the current CoE setup and structure areas of interaction. Identify gaps in the existing CoE setup and consensus on CoE Model, Org Design, Funding and identify core team members to drive CoE.
• Value Realisation Method to identify value and perform prioritisation of GenAI Use cases by leveraging multi‑dimensional evaluation framework.
• Define Operating Model & Talent Management (Training, Enablement for GenAI skills and ability to find the right Data Scientists, ML, Data Engineers/Analysts at the right time - Enterprise Knowledge Graph -, Architecture, Process (reimagining led by AI orchestration and Agentic systems).

• Building relationships and communicating to all levels of the organization.
• Team player who looks at the business needs as well as at TS capabilities and constraints.
• Working flexibly and effectively in a matrix‑managed and project‑oriented organization.
• Requires limited supervision and works…