Overview
We are seeking an experienced Technical Business Analyst to join a large-scale, remote AI and data transformation programme for a six-month contract, which is likely to be extended. In this role, you will be crucial in delivering significant data initiatives and working closely with various teams to ensure the successful implementation of data governance and business adoption strategies.
Responsibilities
- Conduct data validation and quality assurance to ensure high standards of data integrity.
- Define and document high-level process taxonomies and conceptual data models.
- Produce detailed test scripts, scenarios, and acceptance criteria for user acceptance testing (UAT).
- Facilitate UAT cycles with operational subject matter experts, balancing programme timelines with business as usual commitments.
- Gather and document a central set of business definitions and taxonomy, maintaining data governance across finance and operational data.
- Transform complex business needs into clear technical specifications and user stories for data and engineering teams.
- Map data dependencies between core platforms and broader transformation workstreams.
- Lead workshops with subject matter experts to address analytical challenges.
Requirements
- Proven experience as a Technical Business Analyst on complex data migration, warehousing, or BI transformation projects.
- Solid experience with data transformation programmes from requirements definition to business adoption.
- Exposure to AI initiatives, including data preparation for AI and machine learning use cases.
- Strong background in UAT framework design, test script writing, and user validation management.
- Hands-on experience in capturing process taxonomies and building data dictionaries.
- Excellent cross-functional communication skills, ideally within finance or FP&A environments.
- Experience in Agile/Scrum frameworks, utilizing tools such as Jira and Confluence.
- Familiarity with enterprise reporting frameworks, Common Data Models (CDM), or SQL/BI tools like Databricks is a plus.