IT Business Analyst (Governance / Data / BI)

IT Business Analyst (Governance / Data / BI) Banking Hybrid: 2 days per week in Bristol Initially until end of year £600 per day In short: We require a classic IT Business Analyst to support building out a framework for our new AI offering. Previous hands-on experience with BI would be nice but not necessary. We just need a strong BA to assist in defining elements of the AI framework. Purpose of the Role Design, implement and embed enterprise standards, controls and governance required to enable safe, auditable and scalable adoption of GenBI and Agentic BI . This role ensures that as adoption accelerates, quality, trust and control are strengthened . Key Accountabilities Testing & Assurance (Audit Action) Operationalise the Minimum Standard GenBI Testing Framework and Model Risk Office Governance Ensure testing is: embedded into delivery lifecycle consistently applied across use cases Establish clear evidence capture for audit and compliance Work with Audit / Risk partners to ensure alignment and closure of audit actions Release & Control Model Design and implement the Minimum Standard GenBI Release Model , including: readiness criteria go-live approval model scaling guardrails Embed release controls into playbooks Service & Incident Management Define and operationalise a GenBI service model , including: incident management fault reporting ownership across the 'BI as a Service' Lab, AI CoE and federated BI teams Ensure service processes are clear, consistent and actively used Standards & Governance Embedding Translate standards into practical delivery guidance (not just documentation) Integrate into: GenBI Playbook onboarding and rollout models Drive adoption of standards across AI CoE, business domains and federated teams Automation & Tooling (e.g. MCP, Q-score) Set and agree minimum standards for controlled adoption of emerging tooling , including: MCP (integration/orchestration patterns) Q-score / quality frameworks semantic model analysis tooling Define enterprise guardrails for use Pilot tooling in real use cases and assess impact on quality, speed and consistency Key Deliverables (2026) Minimum Standard GenBI Testing Framework (live and auditable) Minimum Standard GenBI Release Model (in operation) Incident & service management model (embedded) Standards integrated into playbooks and onboarding Defined and piloted approach to MCP / automated quality tooling Success Criteria (End of 2026) All GenBI solutions follow consistent testing and release standards Audit requirements are fully addressed with evidence Service issues are managed through structured, repeatable processes Automation is improving quality without weakening control Control model is ready to scale across federated 2027 rollout Profile & Experience Strong experience in: Data / AI governance, controls or assurance Enterprise delivery frameworks Risk / audit environments (financial services strongly preferred) Ability to balance: control discipline with delivery pragmatism Experience with: BI platforms (Power BI, Looker) GenAI / AI governance (desirable) Comfortable operating across: CoE delivery teams risk / audit stakeholders Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.