Data and Analytics Product Manager
$100,000–$140,000 year
On-site · Morgan Hill, California, United States
Job Summary
Data and Analytics Product Manager role focusing on strategy, roadmap, and delivery of enterprise data products built on Snowflake and Tableau, including AI/ML product opportunities and GenAI capabilities. Lead the productization of AI across the business, translate stakeholder needs into data and AI products such as Tableau dashboards, Snowflake data marts, semantic models, ML-driven forecasts, and recommendation engines, and drive adoption with governance and responsible AI guardrails. Collaborate with data engineering, platform teams, and business functions to ensure integrated, high-impact analytics experiences and measurable business outcomes. Own the backlog for data engineering, analytics, and AI/ML teams, define AI product strategy, and communicate progress to leadership.
Required Qualifications
- 5+ years of product management experience, with 3+ focused on data, analytics, or AI/ML products
- Demonstrated experience shipping at least one AI or ML product to production — predictive analytics, NLP, recommendation systems, or GenAI applications
- Working knowledge of modern AI/ML concepts: model lifecycle, evaluation, prompt engineering, RAG architectures, and responsible AI principles
- Strong working knowledge of modern data stacks — cloud data warehouses, ELT tooling (dbt, Fivetran, or similar), semantic layers, and orchestration
- Experience writing requirements that bridge business intent and technical implementation using Jira and Confluence
- Excellent stakeholder management across executive, functional, and technical audiences
- Proven ability to prioritize ruthlessly in a high-demand, multi-stakeholder environment
- Preferred Experience with Snowflake Cortex, Snowpark, or native AI/ML features on Snowflake
- Familiarity with Tableau Pulse, Tableau AI, or embedded analytics patterns
- Experience integrating LLMs (OpenAI, Anthropic, Azure OpenAI) into business applications
- Background in consumer products, retail, manufacturing, or supply chain domains
- Familiarity with master data management, data governance frameworks, and data mesh / data product principles
- Background working with PLM, ERP (SAP, Oracle, or similar), or commercial platforms (Salesforce, e-commerce)
- Agile / Scrum certification or equivalent experience
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