Business Analyst
Job description
Business Analyst - AI & Agentic Transformation
Location: London, hybrid with 3 days onsite initially
Start: November
Duration: Nine months initial contract
IR35: Inside IR35
About the opportunity
SR2 Consulting is looking for experienced Business Analysts to support the introduction of AI into a complex organisation operating within a regulated environment.
You'll work with business teams and technical specialists to establish where AI can improve existing activities, what a successful solution should achieve and how it should behave in practice. The work requires someone who can investigate unfamiliar processes, ask challenging questions and turn competing priorities into a clear basis for delivery.
Your role
You'll follow a business problem from initial discovery through to testing, helping the team build solutions that people can use with confidence.
Your responsibilities will include:
- Running discovery sessions to understand users' needs, existing processes and operational constraints.
- Identifying suitable opportunities for automation and defining the expected benefits.
- Producing clear requirements, process designs and testable acceptance criteria.
- Working through how AI-enabled workflows should handle decisions, exceptions and handovers between people and technology.
- Establishing when users should review, approve, intervene in or stop an automated action.
- Helping teams translate internal policies into practical requirements for system behaviour.
- Considering how proposed solutions could affect different users and documenting requirements for fair, transparent outcomes.
- Agreeing how outputs will be assessed, including how potential bias or unintended effects should be identified.
- Keeping business and delivery stakeholders aligned as requirements evolve.
- Raising risks and dependencies early and supporting their resolution.
What we're looking for
- A strong track record in business analysis, typically built over five to seven years.
- Experience delivering change in financial services or another environment with significant oversight and operational complexity.
- Confidence investigating processes and turning incomplete information into actionable requirements.
- Experience working alongside product managers, engineers and data specialists.
- Strong workshop facilitation and the ability to challenge senior stakeholders constructively.
- Clear written communication and a practical understanding of testing and delivery.
- The judgement to balance user needs, business value and appropriate controls.
Useful additional experience
Experience with AI or agent-based solutions would be particularly valuable. This could include defining use cases, specifying human oversight, assessing outputs or supporting adoption.
An understanding of responsible AI and the implications of automated decisions would also help. Hands-on model development or coding is not required.
Skills mentioned
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