• Collaborate with stakeholders across the organization to design and implement scalable, cloud-based data solutions, integrating generative AI to drive innovation. • Work closely with cross-functional stakeholders (finance, product, marketing, customer support, tech, data science) to enable trusted data products for internal decision making and external-facing tools. • Take a leading role in the development of a data lake resource to complement our existing data warehouse. • Work with AWS services, automation tools, machine learning, and generative AI to enhance efficiency, stability, security, and performance. • Operate and evolve our Postgres data warehouse: schema design, performance tuning, indexing, access controls, etc. • Build analytics-ready datasets supporting sustainability measurement, supply-chain insights, and business metrics. • Deploy and maintain multiple instances of Cube.dev semantic layers with standardized configuration, CI/CD workflows, and governance practices. • Support integration and deployment of genAI-enabled workflows, especially NLP-based use cases (classification, extraction, normalization, embeddings/similarity). • In collaboration with data scientists, research and develop practical transition plans for evolving selected relational/warehouse data structures into a graph-based knowledgebase.