Kinexys AI & Platform Shared Services Senior Associate London

Join our collaborative environment where youll help shape the future of AI and platform capabilities across Kinexys. Grow your skills contribute to our AI strategy and drive initiatives end-to-end while working alongside experienced product and technology partners. Dont miss this opportunity to be part of a dynamic team at the forefront of AI in digital assets.

As a Senior Associate in Kinexys AI and Platform Shared Services you play a pivotal role in building and executing the AI strategy across Kinexys. You support the full lifecycle of AI initiatives from discovery and data foundations through to delivery and adoption while helping to establish the standards governance and operating model that will define how Kinexys builds with AI at scale. You are a strategic and technical thinker equally comfortable with developers and senior stakeholders with a genuine passion for AI and the drive to move fast across multiple priorities.

Job 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

Required Qualifications Capabilities and Skills

• 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