Technical Product Manager, Data Products

What you'll do

• Define and maintain product vision, roadmaps, and OKRs aligned with stakeholder priorities.
• Lead Agile ceremonies and manage backlogs, epics, and user stories using Jira.
• Translate application services, APIs, and database logic into technical designs and product requirements.
• Build and validate data pipelines and prototypes using SQL, Python, and PySpark.
• Design and manage conceptual, logical, and physical data models across cloud warehouse environments.
• Develop domain ontologies, semantic models, and AI-enabled retrieval workflows.
• Embed data quality, lineage, security, and regulatory requirements into the product delivery lifecycle.
• Communicate technical decisions and product strategy to both implementation teams and senior stakeholders.

What we're looking for

• Formal training or certification on product engineering concepts and 5+ years of applied experience.
• 3+ years of experience delivering digital, data, analytics, or technology products within a highly regulated industry.
• 3+ years of hands-on experience with SQL, Python, and PySpark for data discovery, transformation, and pipeline development.
• 3+ years of experience analyzing application services, APIs, and JSON structures to translate embedded logic into requirements.
• 3+ years of hands-on experience with cloud-based data warehouse and data lake platforms.
• 2+ years of experience with logical and physical data modeling tools.
• 2+ years of experience with polyglot data modeling tools across relational, JSON, API, and NoSQL structures.
• 3+ years of project management experience using Agile delivery tools for planning, risk, and milestone tracking.
• Demonstrated experience developing and deploying enterprise-grade generative AI and agentic solutions.
• Advanced degree in Data Science, Information Systems, or a closely related discipline (preferred).
• Experience with semantic retrieval, structured outputs, function calling, tool orchestration, and model explainability (preferred).
• Familiarity with data mesh, data product publishing patterns, and open table formats such as Apache Iceberg (preferred).