Lead Data Product Manager

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of the data product roadmap and collaborate with Finance and People & Culture leaders to pinpoint data gaps and prioritize opportunities.

• Create data products that support BI tools, AI-enabled experiences, and business applications.

• Convert business objectives into precise requirements and challenge assumptions proactively.

• Act as a strategic data partner among stakeholders, Analytics, and Data Engineering teams.

• Develop prioritization frameworks and communicate trade-offs effectively.

• Manage the complete product lifecycle from discovery through Alpha, Beta, and GA releases.

• Define semantic contracts, including field definitions, metric logic, and data grain specifications.

• Identify reusable data assets and scalable models suitable for downstream use cases.

• Ensure the accuracy, freshness, and reliability of data products.

• Utilize AI tools for requirements synthesis, SQL validation, catalog generation, and data pattern analysis.

• Establish success metrics to measure adoption and business impact.

• Collect post-launch feedback and continuously enhance products.

• Collaborate with Data and Analytics Engineering on semantic layer design and dbt transformations.

• Optimize ingestion, transformation, and delivery processes.

• Lead Agile delivery cycles by translating roadmap priorities into Initiatives and Epics with defined acceptance criteria.

• Spearhead data catalog initiatives, including discoverability, lineage tracking, and documentation.

• Advocate for data quality, governance, access controls, retention, and responsible data usage.

• Present data narratives and create workshops, documentation, and training materials.

• Foster AI literacy and contribute reusable components, patterns, and best practices.

⛳️ Requirements

• Over 6 years of experience in product management, with at least 3 years concentrated on data products, analytics platforms, or data infrastructure.

• Proven experience in developing data products within Finance, HR, Legal, operations, or related business domains.

• Bachelor’s degree in Engineering, Computer Science, Data Science, Business, or a comparable field of study.

• Demonstrated ability to thrive in greenfield or early-stage data environments.

• Strong grasp of data pipelines, dimensional modeling, semantic layers, and contemporary analytics stacks.

• Solid understanding of data governance principles, including metadata management, lineage, quality frameworks, and access controls.

• Proficient in SQL, capable of independently querying and validating data.

• Outstanding stakeholder management skills across senior business and technical audiences.

• Experience in SaaS or product-led growth organizations.

• Familiarity with data catalog platforms like Atlan or Alation.

• Knowledge of AWS, Snowflake, dbt, Fivetran, Airflow, Quicksight, Omni, Sigma, SageMaker, Python, Pandas, Seaborn, Jira, Confluence, and Figma.

• Reliable internet access for remote work is essential.

🏝️ Benefits

• Up to 10% travel for team events and internal company meetings.

• Reliable internet access is required for remote work.

• Flexibility to work remotely from any location within the employee's country of employment.

• Comprehensive security and privacy training provided.

• Commitment to equal opportunity employment.

• Reasonable accommodations available for applicants with disabilities.