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Design enterprise data warehouse architectures and data models, define data integration strategies across databases, APIs, and streaming platforms, create technical architecture documentation, guide data engineering teams, develop proofs-of-concept, and provide technical leadership on data initiatives.

Serve as the functional bridge between US Finance/Accounting and Data Engineering. Translate GL feeds, sub-ledger reconciliation, and accounting logic into data models, user stories, and acceptance criteria. Own and prioritize the finance data backlog, guide sprint refinement, and lead UAT with accounting stakeholders to meet audit and reporting standards.

Serve as Product Owner for data, mapping data integration ecosystems across consumer lending and loan servicing. Translate operational and risk concepts into data requirements, define user stories, acceptance criteria, and validation rules, and align business, PMO, and engineering teams to guide data engineering delivery.

Develop and maintain automated test scripts (Selenium), perform API testing (Postman), manage test cases (Tricentis), validate backend data with SQL, and collaborate across teams to ensure test coverage and quality. Python and AWS exposure used for automation and environment support.