This role is designed for a senior leader with experience shaping enterprise operating models, guiding portfolio transformation, and embedding product discipline within large, matrixed organisations. The ideal candidate blends consulting-level strategic framing with hands-on experience implementing new practices, enabling them to move seamlessly between executive alignment, structured problem-solving, and delivery oversight.

Responsibilities

• Build and operationalise the AI Product CoE from the ground up, defining the mission, operating model, governance design, and engagement model.
• Create repeatable practices that scale across the enterprise, informed by best-in-class product operating frameworks and organisational design principles.
• Develop a single, unified AI product portfolio with consistent granularity, strategic alignment, and transparent prioritisation.
• Implement portfolio rationalisation and value case standardisation to address duplicate investments and fragmented solution architectures.
• Partner with senior leadership to clarify strategic priorities, align on problem statements, and communicate enterprise-wide value narratives.
• Translate complex AI capabilities and data foundations into meaningful business outcomes, enabling leadership decisions and measurable ROI.
• Create lightweight governance mechanisms: intake, ownership, lifecycle, stage gates, data trust checkpoints, and value realisation tracking.
• Ensure teams adopt consistent product definitions, decision frameworks, and documentation standards.
• Identify shared components, reusable patterns, and consolidation opportunities across AI, analytics, and data products.
• Partner with engineering and data leadership to reduce fragmented data sources and reinforce trust in enterprise datasets.
• Facilitate structured workshops using design thinking and service design methods to uncover real customer problems and shared needs.
• Create coherent value stories that integrate dealer, customer, and internal business perspectives into a unified narrative.
• Analyse sources of duplication, divergent development paths, and inefficiencies across teams.
• Recommend harmonisation strategies, closure of redundant workstreams, and reuse-first approaches to product development.

Qualifications

• Strategic transformation and operating model design.
• Enterprise product strategy and portfolio management.
• Cross-functional leadership in complex ecosystems.
• Innovation, service design, and problem framing.
• Executive storytelling and advisory.
• Practice creation and institutionalisation.

Minimum qualifications

• 10+ years of professional experience.
• BS or equivalent degree.

Even better, you may have

• MS, MBA or equivalent business degree.
• Design Thinking, Problem Solving, or Human Centred Design certifications.
• Product Management: Agile/SCRUM CSPO, PSPO, Six Sigma Black Belt, Certified Product Manager, Product Strategy.
• Experience in both consulting and industry leadership roles.
• Background in the business implementation of AI platforms, data modernisation, or advanced analytics products.
• Experience in dealer ecosystems, connected customer experience, or large operational networks.

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