Business Analyst - AI Programme Job Central London area,City Of London England UK,Business

Overview

The role will involve close collaboration with senior business stakeholders, subject matter experts, product managers, technology and data specialists, and delivery teams to shape and implement AI-enabled solutions. The Business Analyst will support the analysis and redesign of business processes, define requirements and acceptance criteria, and ensure that proposed solutions address business needs while meeting appropriate governance, risk, control and assurance requirements.

The Business Analyst will contribute by helping translate programme objectives into actionable business and delivery requirements, supporting the design of AI-enabled capabilities and ensuring that business processes, human oversight and responsible AI considerations are addressed throughout the delivery lifecycle.

Responsibilities
Business Analysis and Requirements Management:

Lead end-to-end business analysis activities within an assigned AI Programme workstream, from discovery and requirements elicitation through to design, delivery, testing and implementation.
Engage business stakeholders and subject matter experts to understand business needs, objectives, problems, constraints and expected outcomes.
Facilitate workshops, interviews and other elicitation activities to establish current-state requirements, challenge assumptions and clarify complex or ambiguous business needs.
Document, analyse, validate and manage business, functional and non-functional requirements, use cases, user stories and acceptance criteria.
Translate business requirements, policies, standards and regulatory obligations into clear, actionable requirements for business processes, technology solutions and controls.
Maintain requirements traceability and support prioritisation, refinement, change control and validation throughout the delivery lifecycle.
Work with product managers, technology teams and other delivery stakeholders to ensure requirements are understood, feasible, testable and aligned with programme objectives.

Business Process Analysis and Design

Analyse and document As-Is business processes, identifying inefficiencies, pain points, risks, control weaknesses and opportunities for improvement.
Develop To-Be process models and workflows that incorporate AI-enabled capabilities and define how people, AI agents and existing systems interact.
Break complex business activities into logical, measurable steps, identifying tasks suitable for automation, AI assistance or autonomous execution.
Define process triggers, decision points, business rules, exception handling, escalation routes and hand-offs between AI agents, people and systems.
Assess the operational and organisational implications of proposed changes, including impacts on roles, responsibilities, procedures, capabilities and ways of working.
Challenge existing processes and approaches constructively, recommending innovative and practical solutions to business problems.

AI-Enabled Solutions and Agentic AI

Define business requirements for AI-enabled solutions, translating business objectives into clearly scoped use cases, capabilities, user stories and measurable outcomes.
Where Agentic AI is in scope, support the decomposition of business workflows into goal-driven activities that AI agents can perform, subject to defined permissions, constraints and oversight.
Define requirements for AI-agent triggers, decision points, permitted actions, dependencies, exception handling and interactions with users and other systems.
Distinguish between tasks that can be automated, tasks requiring human review and decisions that must remain subject to human approval.
Define human-in-the-loop requirements, including intervention points, decision thresholds, escalation paths, override mechanisms and safe fallback processes.
Collaborate with product managers, technology teams, data specialists and AI practitioners to assess feasibility, refine solution designs and support implementation.
Define acceptance criteria and validation scenarios to assess whether AI-enabled capabilities meet business needs and perform as intended.
Responsible AI, Governance and Assurance Translate relevant AI policies, standards, governance requirements and risk controls into practical business requirements, process changes and delivery acceptance criteria.
Work with risk, compliance, governance and technical stakeholders to identify risks associated with AI-enabled processes and define proportionate mitigations and controls.
Support the definition of requirements…