- Define and own the multi-year platform abstraction and extensibility strategy.

- Govern AI capability coherence across ML Platform, Agentic Systems and Reporting & Analytics.

- Define and drive the product direction for real-time, compute-to-data execution architecture.

- Establish cross-module integration principles and prevent domain-specific coupling.

- Arbitrate platform integrity versus module-level optimisation trade-offs.

- Represent the AI-native platform vision in client workshops, analyst briefings and executive forums.

- Align platform roadmap with commercial expansion priorities including CPG D2C.

- Partner with Product Engineering leadership to align system architecture with long-term platform strategy.

- Build and mentor senior product managers within the Modernisation portfolio.

What Makes You a Great Fit :

- Qualification : Engineering degree / MBA desirable with AI/ML coursework exposure useful.

- Experience : 9-12 years of enterprise SaaS product management experience.

- Proven experience building or scaling complex platforms rather than isolated features.

- Demonstrated experience defining platform abstraction or extensibility strategies across complex product ecosystems.

- Strong conceptual understanding of AI/ML lifecycle principles, real-time inference models and modern data platform architectures.

- Experience defining and executing multi-year product strategy across multi-module ecosystems.

- Proven ability to arbitrate competing roadmap priorities in favour of long-term platform integrity.

- Ability to translate architectural concepts into clear business value narratives.

- Strong executive communication skills with demonstrated experience influencing senior stakeholders.