Sr. Technical Product Manager (Data Lake/Data Governance)

Applied Systems Canada is transforming the insurance industry by building a team dedicated to innovative software and services. They are seeking a Senior Product Manager to own the product vision and strategy for their internal data lake, collaborating with various stakeholders to ensure effective data governance and management.

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

Requirements:

• 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)