Assess and qualify AI opportunities, validating business needs, technical feasibility, solution design, data sources, integrations, and delivery approach before development investment is committed.
Lead the design, development, and iteration of AI solutions and proofs of concept, ensuring the simplest viable approach is adopted and supporting transition to production.
Provide technical advisory and governance for AI initiatives across business units, reviewing solution designs, model selection, architectures, and adherence to enterprise standards and guardrails.
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Active participation in the implementation of data governance solution and optimization of data governance frameworks across hybrid and multi-cloud environments (on premise & cloud).
Implement and maintain data governance solutions and tools such as data catalogs, data quality monitoring tools, and lineage tracking solutions. Provide recommendations for tools and techniques to improve the governance process.
Assist in managing data governance projects from concept to implementation.
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