Agentic Data Testing Manager

Position Overview

We are looking for a new colleague:
Agentic Data Testing Manager within our Risk Intelligence Data Management & Governance team to support one of our data offerings.

Co-owns pre‑production data assurance and testing under Continuous Data Assurance (CDA) strategy. Critical to embedding “Data Quality by Design” into SDLC. Central to improving the maturity of Data Quality Management (DQM) capability (testing + ongoing monitoring).

Co-owns Data Testing strategy, execution and innovation for a Risk Intelligence dataset under CDA framework with another member of the Data Management team. Designs and completes data testing scenarios across deterministic and agentic pipelines to provide confidence on data quality prior to release in production.

• Analyze data to be tested and/or agent performance (HiTL rates, confidence scores)
• Define CDA testing scenarios, test cases and scorecards based on business priorities
• Propose and innovate testing approaches using deterministic and AI methods including evals to prove/disprove feasibility
• Generate production test data sets (Golden, representative etc.) to ensure sufficient confidence
• Produce, lead and continuously improve synthetic data for testing in lower environments
• Raise requirements to BA’s to enable data testing plan execution and enhance speed and effectiveness
• Produce and implement data testing plans in the data environment for milestone roadmap deliveries to enable data assurance and on time delivery
• Collaborate with content SME’s in Operations to gather rapid feedback on each test cycle
• Raise Risks, Dependencies, Assumptions and Issues to Program Management
• Implement Data Assurance Testing (DAT) and regression testing, raise data quality issues and report results via Data Testing Scorecards
• Implement source‑to‑product reconciliations and data lineage validation and hand over to Data Quality manager for post‑production monitoring
• Conduct client impact assessments on testing outcomes and log acceptable differences, risk acceptance outcomes and remediation plans
• Present data testing updates at monthly Data Quality Forum to Director‑level collaborators across Product, Data and Content Operations

• CDA Test Plans & Scorecards
• Golden datasets + evaluation frameworks
• Regression test suites (mapped to CDA controls DQ‑CDA‑01 → 24)
• DAT execution reports + release sign‑off artefacts

• Data regression testing at scale
• Schema, lineage and reconciliation testing
• Test automation and large dataset analysis and validation

• AI/LLM evaluation techniques (semantic equivalence, eval pipelines)

• Engineering‑oriented, structured, precision‑driven
• 5+ years in Data Testing, QA or Data Engineering
• Strong experience in data regression testing and large‑scale data validation
• Experience with AI/LLM evaluation techniques (golden datasets, semantic testing)
• Strong analytical and problem‑solving skills

A senior role with competitive remuneration and a good platform to drive value into the Risk Intelligence offering. A fun, collaborative team environment with other Data Governance and Data Testing and Quality Managers who are situated in Cape Town, India and Gdynia Poland, to help you grow in your new role. An exciting opportunity to learn new skills and grow your career, in Risk Intelligence, one of the fastest growing areas of the LSEG business.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.