Responsibilities
* Supports the development and execution of the Kinexys AI strategy and roadmap, translating priorities into initiatives and tracking delivery against plan
* Manages end-to-end discovery and delivery of AI initiatives - from problem definition and requirements through to launch and adoption
* Contributes to the design and implementation of AI governance frameworks, including data standards, model oversight, and responsible AI practices
* Drives data management and standardisation efforts, ensuring data assets are well-governed and fit for AI and analytics use
* Collects and communicates metrics on initiative progress and platform performance to inform decision-making and senior stakeholder updates
* Partners with engineering and data teams to shape technical solutions, contributing requirements, user stories, and acceptance criteria
* Manages stakeholder relationships across product, technology, operations, and leadership – maintaining alignment across a matrixed organisation
* Contributes to platform shared services strategy, identifying opportunities to improve tooling, ways of working, and cross-team capabilities
* Monitors AI market trends, emerging tooling, and competitor activity to inform best practices and keep Kinexys ahead of the curve
* Supports internal AI enablement – helping teams across Kinexys understand and adopt AI capabilities effectively
Qualifications
* Experience or equivalent expertise in product management, programme management, or a relevant domain with exposure to AI or data initiatives
* Developing knowledge of the AI and data product lifecycle, from discovery and data foundations through to production deployment
* Strong data literacy with exposure to data management, standardisation, or analytics workflows
* Technical fluency – able to engage with engineering and data teams, understand architectural tradeoffs, and contribute meaningfully to technical conversations
* Strong collaborator with proven ability to work alongside cross-functional partners including Technology, Operations, and Compliance
* Strategic thinker with the ability to connect the dots across business and functional areas to deliver high-impact solutions
* Highly organised with strong tracking and reporting discipline – comfortable owning metrics, dashboards, and stakeholder communications
* Comfortable working in a fast-paced environment with minimal guidance and a strong sense of ownership
* Genuine curiosity and enthusiasm for AI – you follow the space closely, form opinions, and bring energy to the work
Preferred Qualifications, Capabilities, and Skills
* Demonstrated prior experience working in a highly matrixed, complex organisation
* Hands‑on experience building or contributing to enterprise AI or data platforms – from prototype to production at scale
* Familiarity with agentic AI frameworks, LLMs, RAG pipelines, or AI governance and evaluation tooling
* Experience in financial services, digital assets, payments, or a similarly regulated domain
* Prior exposure to distributed ledger technologies, tokenisation, or blockchain infrastructure
* Experience contributing to AI operating models, standards, or centre‑of‑excellence functions
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