Technical Product Manager ensuring seamless integrations for Docebo's AI - powered learning platform. Focusing on managing enterprise ecosystem for client success through connector development.
About the role
- Group Technical Product Owner leading a portfolio of enterprise data products for analytics, financial insights, and AI use cases. Collaborating across Product, Engineering, and Business to deliver measurable outcomes.
Responsibilities
- Define and manage roadmaps for a portfolio of enterprise data products.
- Translate business problems into scalable, reusable data models.
- Ruthlessly prioritize based on business value, architectural integrity, and long-term platform health.
- Drive alignment across Product, Engineering, Analytics, and Business leaders.
- Partner with Data Engineering to design governed data models, pipelines, and semantic layers.
- Own backlog refinement and acceptance criteria for data product increments.
- Ensure consistent metric definitions, lineage, and data quality standards.
- Drive adoption of a governed semantic layer as the source of truth for enterprise KPIs.
- Enable self-service analytics within structured guardrails.
- Ensure data products are structured to support personalization, predictive models, and AI/LLM initiatives.
Requirements
- 5 + years in Technical Product Ownership, Data Product Management, or similar roles.
- Experience with modern cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Azure Synapse).
- Strong understanding of dimensional modeling, domain modeling, and metric governance.
- Experience working with BI and semantic layer tools (e.g., Looker, Tableau, Power BI, dbt).
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