Overview
We are seeking a Technical Business Analyst to support a high-impact AI and data transformation programme. In this role, you will work closely with stakeholders to deliver critical data initiatives, ensuring effective communication between business needs and technical specifications. You will collaborate with operational leaders and engage in extensive user acceptance testing, playing a key role in the governance and adoption of data standards.
Responsibilities
- Define and document high-level process taxonomies and conceptual data models across various business areas.
- Produce detailed test scripts, scenarios, and acceptance criteria for user acceptance testing.
- Run UAT cycles with operational subject matter experts while balancing programme deadlines and business-as-usual commitments.
- Gather, document, and maintain a centralized set of business definitions and taxonomy for finance and operational data.
- Partner with operational leaders to drive the adoption of data standards and build governance documentation.
- Translate complex business needs into clear technical specifications and user stories for Data and Engineering teams.
- Map data dependencies between core platforms and transformation workstreams.
- Lead workshops with SMEs to identify and resolve analytical blockers.
Requirements
- Proven experience as a Technical Business Analyst on complex data migration and AI projects.
- Solid experience on data transformation programmes, from gathering requirements to business adoption.
- Exposure to AI initiatives, such as preparing data for machine learning applications.
- Experience designing UAT frameworks, writing test scripts, and managing user validation processes.
- Hands-on capability in capturing process taxonomies and building data dictionaries.
- Excellent communication skills, particularly in high-pressure environments, supporting finance or FP&A teams.
- Experience in Agile/Scrum environments, utilizing tools like Jira and Confluence.
- Desirable experience with data warehousing, SQL, or BI tools such as Databricks.