Overview
We are seeking an experienced Technical Business Analyst to contribute to a significant AI and data transformation programme. In this role, you will work with various teams to ensure the successful implementation and adoption of key data initiatives, focusing on data validation, governance, and user acceptance testing. Your technical expertise will support the delivery of complex data migration projects, while also facilitating collaboration among stakeholders and operational leaders.
Responsibilities
- Conduct data validation and quality assurance processes.
- Define and document high-level process taxonomies and conceptual data models across business areas.
- Produce detailed test scripts, scenarios, and Given-When-Then acceptance criteria.
- Run UAT cycles with operational SMEs, balancing programme deadlines with BAU commitments.
- Gather and maintain a central set of business definitions and taxonomy across finance and operational data.
- Partner with operational leaders to drive adoption and maintain long-term data standards.
- Translate complex business needs into clear technical specifications and user stories.
- Lead workshops with SMEs to identify and resolve analytical blockers.
Requirements
- Proven experience as a Technical Business Analyst in complex data migration, data warehousing, or BI transformation projects.
- Solid experience in data transformation programmes, from requirements definition to business adoption.
- Exposure to AI initiatives, including data preparation for machine learning use cases.
- Strong background in designing UAT frameworks, writing test scripts, and managing user validations.
- Hands-on experience in capturing process taxonomies and building data dictionaries.
- Excellent communication skills, particularly in high-pressure environments supporting finance teams.
- Experience in Agile/Scrum environments using Jira and Confluence.
- Familiarity with enterprise reporting frameworks, Common Data Models (CDM), or data warehouse builds is desirable.