Position Summary...
What you'll do...
- 12+ years of experience in data engineering, data stewardship, data platforms, or related technical domains.
- 6+ years of people leadership experience, including leading other leaders (e.g., Senior Directors, Directors, and managers) across multi-disciplinary data teams.
- Proven success defining strategy and delivering enterprise-scale data stewardship.
- Deep understanding of data architecture, data modeling (conceptual, logical, physical, and dimensional), taxonomy governance, semantic modeling, metadata, data quality, entity resolution, and data governance.
- Experience partnering with product, engineering, business, governance, and executive stakeholders to turn ambiguous business problems into scalable technical solutions.
- Demonstrated ability to communicate technical strategy, tradeoffs, risks, and business impact to senior executives.
- Track record of building inclusive, high-performing teams and developing future leaders.
- Advanced degree in Computer Science, Data Science, Statistics, Mathematics, Information Science, Computational Linguistics, AI, Machine Learning, or related fields.
- Experience in retail, e-commerce, marketplace, product catalog, search, personalization, merchandising, supply chain, advertising, or large-scale consumer technology.
- Experience applying generative AI, LLMs, RAG, vector search, agentic workflows, or embeddings to enterprise data, product data, or knowledge systems.
- Experience with large-scale data ecosystems and data modeling/architecture tooling such as Spark, Python, SQL, dimensional modeling, data warehousing and Lakehouse architectures, cloud platforms, distributed data systems, MLOps platforms, and model governance tools.
- Strong record of responsible AI implementation, including fairness, transparency, explainability, privacy, compliance, monitoring, and risk management.
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...