Position SummaryJoin Nestlé IT & Digital, supporting Nestlé USA, as a Data Product Expert accountable for managing and evolving our enterprise data lake as a product, enabling scalable, trusted, and AI-ready data services across the enterprise. This role balances technical depth with business fluency, partnering across functions, business teams, and the data organization within IT & Digital to translate priorities into reliable, secure, cost-efficient, and reusable data services. You'll ensure the data lake is aligned with enterprise data strategy and Nestlé standards, and liaison with the zone to ensure alignment with the global organization.
- Own the end-to-end lifecycle of data lake products, including vision, roadmap, backlog prioritization, and value realization
- Translate business and analytics requirements into scalable data platform capabilities and reusable data assets
- Ensure seamless integration of structured and unstructured data across upstream and downstream systems
- Drive adoption and optimization of cloud-based data platforms, including the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) and Snowflake
- Leverage APIs, storage optimization, and distributed compute to enable scalable and performant data pipelines
- Embed data governance, metadata management, and quality standards, and liaison with the zone and global teams for alignment
- Lead agile delivery, including sprint planning, backlog refinement, and continuous improvement through automation and monitoring
Requirements- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field
- 7+ years of experience in data platforms, product ownership, or data engineering, including delivering enterprise-scale data products
- 5+ years of hands-on experience with cloud data platforms, specifically the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) or Snowflake
- 3+ years of experience as a Product Owner managing backlogs, roadmaps, and stakeholder alignment in an agile delivery model
- 3+ years of experience with data architecture, integrations, data warehousing, and full stack or back-end development
Other- Master's degree in Computer Science, Information Systems, Engineering, or a related discipline is preferred
- Working knowledge of Python for data processing, automation, or analytics is preferred
- Experience applying FinOps practices to optimize cost, usage, and performance in cloud data platforms is preferred
- Familiarity with AI/ML data pipelines and enabling data for advanced analytics is preferred
Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
The approximate pay range for this position is $140,000 to $200,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us.
