Agentic Data Testing Manager within our Risk Intelligence Data Management & Governance team to support one of our data offerings.
The Team
As the hiring manager for this role, I look after the Data Management & Governance function for some of our data assets within LSEG Risk Intelligence. This role will work alongside team members in India, Cape Town and Gdynia.
Why is this role important?
This role offers a seasoned professional an opportunity to apply their knowledge of data, software and agentic flows to test, analyse and manage data quality.
Role Context
- Co-owns pre-production data assurance and testing under Continuous Data Assurance strategy.
- Critical to embedding “Data Quality by Design” into SDLC.
- Central to improving maturity of Data Quality Management (testing + ongoing monitoring).
Role Purpose
- 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.
Key Responsibilities
- 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 BAs 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 SMEs 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.
Key Deliverables
- 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.
Capability Profile
- Data regression testing at scale.
- Schema, lineage and reconciliation testing.
- Test automation and large dataset analysis and validation.
Advanced Exposure
- AI/LLM evaluation techniques (semantic equivalence, eval pipelines).
Attitude
- Engineering-oriented, structured, precision-driven.
Experience
- 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.
Benefits
Senior role with competitive remuneration and a collaborative team environment.
Equal Opportunity Statement
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.
#J-18808-Ljbffr
