• Collaborate with multiple teams to ensure data integrity and validation using the right tools and automation. • Be proficient in pre-screening raw data, vital checks on completeness and integrity of data, field tests on Aggregation, Reconciliation tests and Report testing. • Evaluate the quality of data received from data sources to ensure that it meets company standards. • Review Data Models, Data Mappings, and Architectural Documentation to execute effective system integration testing. • Work closely with Business Analysts, Architects, Development team and Product Owners to ensure data housed in multiple source systems is loaded to target accurately. • Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time. • Build new scripts and troubleshoot existing scripts. • Solve complex record and run issues including complex correlation problems. • Verify and validate data accuracy, completeness, and consistency using Extract/Transform/Load (ETL) tools and SQL queries. • Analyzes and troubleshoots erroneous results, determines the root cause of defects, logs the defects JIRA/QTest and enables defect management, including working with the development team on the resolution of Software related defects. • Drive opportunities and lead efforts to improve existing test processes or create new to increase efficiency and productivity in test case development, scheduling, or deployment. • Analyze test results and prioritize and log defects with appropriate information. • Manage multiple projects/deadlines with changing priorities. • Other duties as assigned.

• Develops and maintains logical, semantically rich, and extensible ontologies. • Supports integration between the ontology management system and source data management repositories. • Ensures the accuracy and consistency of ontological structures. • Collaborates with cross-functional teams to understand their information needs.

• Design and build custom solutions that range from AI-powered workflows to full-stack applications • Work closely with internal teams who interface directly with clients, translating client requirements into technical solutions • Contribute to the internal ecosystem by developing tools for the marketing team and creating micro-apps on top of the AI stack • Update the website and micro-apps, and develop client-specific applications as needed • Configure LLMs to power new AI workflows • Build internal tools that streamline operations • Collaborate effectively with marketing, product, and technical teams to drive measurable growth

• Manage and execute projects end-to-end, including cross-functional project management, data collection, modeling and analysis, synthesis, and communication of insights and recommendations to cross-functional stakeholders • Build scalable models and processes that maximize end-to-end value, balancing operating costs and asset efficiency • Align with relevant business partners to ensure project success, leading discussions to drive change • Identify areas of opportunity and influence; engage cross-functional teams to enable quick wins and continuous improvement • Create and deploy robust metrics and dashboards to enable tangible transformation • Lead pilot implementations to demonstrate business impact • And other activities of similar complexity and scope.