Overview
We are seeking an experienced Technical Business Analyst to contribute to a large-scale AI and data transformation programme. In this role, you will work closely with data and engineering teams, operational leaders, and stakeholders to ensure successful delivery of key data initiatives and improve data governance processes. Your expertise will be vital in defining requirements, validating data quality, and fostering business adoption of data standards.
Responsibilities
- Conduct data validation and quality assurance for key data initiatives.
- Define and document high-level process taxonomies and conceptual data models.
- Produce detailed test scripts and acceptance criteria for user acceptance testing (UAT).
- Run UAT cycles with subject matter experts, balancing project deadlines with business as usual commitments.
- Gather and maintain a centralized set of business definitions and taxonomy for finance and operational data.
- Partner with operational leaders to drive adoption of data governance frameworks.
- Translate complex business needs into clear technical specifications and user stories.
- Map data dependencies among core platforms to support transformation workstreams.
Requirements
- Proven experience as a Technical Business Analyst on complex data migration or BI transformation projects.
- Solid experience with data transformation programmes, including requirements definition and business adoption.
- Exposure to AI initiatives and preparation of data for AI and machine learning use cases.
- Strong background in designing UAT frameworks and managing user validation processes.
- Hands-on experience with capturing process taxonomies and building data dictionaries.
- Excellent cross-functional communication skills, particularly in finance or FP&A environments.
- Experience in Agile/Scrum environments with tools like Jira and Confluence.
- Desirable: Experience with SQL, BI tools such as Databricks, and a recognized BA qualification.