[Remote] Sr. Technical Product Manager (Data Lake/Data Governance)

Note: The job is a remote job and is open to candidates in USA. Applied Systems Canada is transforming the insurance industry by building a team ready to deliver innovative software and services. They are seeking a Senior Product Manager to own the product vision and strategy for their internal data lake, collaborating closely with various stakeholders to ensure data quality and governance while balancing strategic and operational needs.

Responsibilities

• Define and own the multi-year data lake product strategy, translating business needs into a prioritized roadmap that balances platform reliability, new integrations, and insight enablement
• Identify opportunities to consolidate data sources and reduce duplication; communicate vision and trade-offs clearly to executive, engineering, and business audiences
• Serve as the primary product contact for data consumers across Finance, Marketing, Operations, Sales, and Engineering - running alignment sessions, managing expectations, and negotiating prioritization with senior stakeholders
• Define and hold the platform team accountable to clear SLAs for data availability and quality
• Own the intake process for onboarding new data sources - evaluating business value, technical complexity, and downstream impact including schema dependencies, data lineage, and fan-out effects on pipelines and dashboards
• Partner with Data Engineering to set ingestion standards and champion data cataloging so every dataset is findable and usable across the organization
• Work with Data Science to prioritize feature store development, training dataset pipelines, and experiment tracking infrastructure based on model roadmap needs
• Ensure teams have reliable, well-documented access to curated datasets, and co-define success metrics that bridge raw data availability to actionable business intelligence
• Build and own a comprehensive governance strategy on BigQuery covering data classification, access control (RBAC/column-level security), retention policies, and audit logging
• Define data ownership models and drive adoption of quality frameworks - profiling, lineage tracking, anomaly detection - while collaborating with Legal and Security

Skills

• 7+ years of product management experience, with at least 2 years focused on data platform, data infrastructure, or analytics products
• Demonstrated ability to manage complex, multi-stakeholder environments with competing priorities at senior levels
• Strong understanding of modern data stack concepts: data lakes, warehouses, ELT pipelines, data catalogs, and governance frameworks
• Hands-on familiarity with Google BigQuery
• Ability to engage credibly with data engineers and data scientists on technical architecture decisions; excellent communication skills for executive audiences
• Experience implementing governance frameworks: data mesh, data contracts, or metadata management tools (Dataplex, Collibra, Alation)
• Familiarity with ML platform concepts: feature stores, model registries, training pipelines (Vertex AI, MLflow)
• Background in structured and semi-structured data across diverse source systems (CRM, ERP, product analytics, third-party APIs)

Benefits

• Medical, Dental, and Vision Coverage
• Holiday and Vacation Time
• Health & Wellness Days
• A Bonus Day for Your Birthday

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