Technical Business Analyst (AI/Data Transformation)

Digital Waffle; United Kingdom; Remote; GBP 55,000 - 75,000; Full time

Job summary

Digital Waffle is seeking a Technical Business Analyst to drive AI and data transformation across a large programme. This remote UK role focuses on data validation, governance and delivering clear technical specs for data and engineering teams.

You will map data dependencies, define taxonomies, write acceptance criteria and run UAT with subject matter experts, while aligning with finance and FP&A needs in a fast-paced environment.

Qualifications

• Proven experience as a Technical BA on complex data migration, data warehousing or BI transformation projects.
• Recent experience on data transformation programmes, from requirements to adoption and delivery.
• Exposure to AI initiatives, preparing data for AI/ML use cases or supporting AI-driven solutions.
• Strong background in designing UAT frameworks, scripts and acceptance criteria.

Responsibilities

• Data Validation & Quality Assurance: define taxonomies and conceptual data model.
• Produce test scripts, scenarios and Given-When-Then acceptance criteria.
• Run UAT cycles with operational SMEs, balancing deadlines with BAU commitments.
• Data Governance: document business definitions and taxonomy across finance/operational data.
• Map data dependencies between core platforms and transformation workstreams.
• Lead workshops with SMEs to resolve analytical blockers.

Skills

AI

Data transformation

UAT

Data governance

Education

BCS International Diploma in Business Analysis

IIBA CCBA/CBAP

Tools

Jira

Confluence

Databricks

Job description

Role: Technical Business Analyst – AI/Data Transformation

Location: Remote, UK

Contract: 6 months (likely extension)

Key Skills:

• AI
• Data Transformation
• UAT
• Data Governance

The Opportunity

An exciting opportunity has arisen for an experienced Tech Business Analyst to join a large-scale data and AI transformation programme. You’ll play a pivotal role in delivering key data initiatives.

What You’ll Be Doing

Data Validation & Quality Assurance

• Defining and documenting high-level process taxonomies and the conceptual data model across affected business areas
• Producing detailed test scripts, scenarios and Given-When-Then acceptance criteria
• Running UAT cycles with operational SMEs, balancing programme deadlines with BAU commitments

Business Adoption & Data Governance

• Gathering, documenting and maintaining a central set of business definitions and taxonomy across finance and operational data
• Building agreed definitions into BAU processes, training materials and governance documentation
• Partnering with operational leaders to drive adoption and maintain data standards for the long term
• Turning complex business needs into clear technical specifications, user stories and acceptance criteria for Data and Engineering teams
• Mapping data dependencies between core platforms and wider transformation workstreams
• Leading workshops with SMEs to resolve analytical blockers

What We’re Looking For

• Proven experience as a Technical BA on complex data migration, data warehousing or BI transformation projects
• Solid, recent experience on data transformation programmes, from defining requirements through to business adoption
• Exposure to AI initiatives, such as preparing data for AI and machine learning use cases or supporting the delivery of AI-driven solutions
• Strong background in designing UAT frameworks, writing test scripts, setting acceptance criteria and managing user validation
• Hands-on experience capturing process taxonomies, mapping business definitions and building data dictionaries
• Excellent cross-functional communication, ideally supporting busy finance or FP&A teams through high-pressure periods
• Experience in Agile/Scrum environments using tools such as Jira and Confluence
• Experience with enterprise reporting frameworks, Common Data Models (CDM) or data warehouse builds
• Exposure to financial systems, SQL or BI tools such as Databricks
• A recognised BA qualification (e.g. BCS International Diploma in Business Analysis, IIBA CCBA/CBAP)