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.