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

Location: Westminster Abbey

Job Description
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

JOB DESCRIPTION

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  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…