At GroupHEALTH, we’re proud of the work we do, but it’s how we do it that truly sets us apart. We’re a rapid-moving, ever-evolving, stable organization with deep roots and a bold vision: to transform the way Canadians experience benefits. We combine agility with long-term stability to create meaningful impact.

Here, you’ll find more than just a job. You’ll find a purpose-driven, people-first culture where kindness, collaboration, and curiosity thrive. Whether you’ve been here fifteen years or fifteen days, you’ll notice right away: our people are genuinely invested in one another’s success and delivering exceptional experiences to our clients and plan members.

About the Role The Manager, Data Engineering & Governance will lead the team responsible for building and governing the trusted data foundation for the GroupHEALTH Family of Companies, ensuring the Insurance Data Platform (IDP) is reliable, governed, reusable and aligned to business priorities. Reporting to the Director, Data & Intelligence, the Manager will translate the Data & Intelligence strategy into an executable roadmap, develop the team and operating model, and establish practical standards across Microsoft Fabric, Microsoft Purview and Erwin Data Modeler. The role works closely with Insights & Reporting, Analytics & AI, Technology, Security, Privacy and business leaders so trusted data can be used confidently across reporting, analytics, AI and operational products.

This is a hybrid role based out of our Surrey, BC head office.

What to Expect in Your First 3 Months

First 30 Days: Build working relationships with each team member and key partners. Assess current capabilities, accountabilities, delivery commitments and risks across Data Engineering, Architecture and Governance.



Confirm the near‑term team operating model, decision rights, intake priorities and measures of success with the Director, Data & Intelligence.

First 60 Days: Understand and manage the end-to-end standards for Fabric medallion architecture, pipeline and data product delivery, Erwin enterprise data modelling, Purview cataloguing and lineage, data quality, stewardship, privacy and release controls. Establish a practical architecture and governance review cadence that does not slow delivery. Publish a prioritized roadmap connecting platform foundations, source onboarding, curated and mastered data, governance enablement and business‑facing data needs. Introduce clear sprint planning, dependency management, RAG reporting, risk escalation and capacity visibility.

First 90 Days: Create role clarity, development goals and succession coverage for the team. Identify capability and capacity gaps, define a phased hiring and onboarding plan, and establish coaching routines that improve ownership, decision‑making and delivery consistency. Demonstrate measurable progress on priority IDP capabilities, including reliable Fabric pipelines and curated assets, approved Erwin models, Purview catalog and lineage coverage, data quality controls, issue ownership and documented operational support. Provide leadership with a concise view of outcomes, risks, decisions and next priorities.





What You’ll Do

Lead, coach and develop a multidisciplinary team spanning data engineering, data architecture, data modelling, data quality and data governance

Set clear accountabilities, goals and delivery expectations; provide timely feedback, support career development and address performance or capability gaps

Build the team deliberately through workforce planning, hiring, onboarding, knowledge transfer and succession planning

Strategy, Roadmap & Delivery Management

Translate the Data & Intelligence strategy into a practical roadmap and quarterly outcomes for Engineering & Governance

Prioritize work across platform foundations, ingestion, modelling, data quality, governance and operational support based on business value, risk, dependencies and capacity

Maintain delivery visibility through plans, milestones, RAG reporting, decisions, risks, issues and dependencies; escape early and recommend options

Own engineering standards and delivery practices for the IDP, including Fabric, medallion architecture, pipelines, notebooks, orchestration, monitoring, deployment and support

Ensure data products and platform components are scalable, supportable, secure, observable and cost‑conscious

Partner with Technology and Security on environments, access, release management, resilience and production operations

Own enterprise data architecture and modelling practices across conceptual, logical and physical models, with Erwin Data Modeler as a core modelling capability

Ensure source, integration, curated, mastered and consumption models are well designed, documented and aligned to business concepts and system realities

Data Governance, Quali

📌 Manager, Data Engineering (Winnipeg)
🏢 Manion, Wilkins & Associates
📍 Winnipeg