Kinexys - AI & Platform Shared Services - Senior Associate - London

Join our collaborative environment, where you'll 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. Don't 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

• 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

• 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