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Chief Data and AI Officer

Job in Vancouver, BC, Canada
Listing for: WELL Health Technologies Corp
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Security, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 175000 - 250000 CAD Yearly CAD 175000.00 250000.00 YEAR
Job Description & How to Apply Below

Entity: WELL Health Technologies Corp.

Position Title:
Chief Data Officer

Work Location:
Remote, Canada

Salary Range: $175,000 - $250,000 CAD

About WELL Health Technologies

WELL Health Technologies Corp. (TSX: WELL) is a high-growth digital health company committed to modernizing and improving healthcare through technology. Headquartered in Vancouver, WELL supports a diverse team of more than 4,500 people working across 220+ outpatient medical clinics and remote roles.

WELL operates Canada’s largest network of outpatient clinics and powers healthcare providers through a comprehensive practitioner enablement platform, including virtual care, patient engagement tools, EMR solutions, revenue cycle management, and cybersecurity services. Our mission is to empower clinicians, enhance patient access, and drive better health outcomes through connected, technology-enabled care.

Position Summary

WELL Health is seeking a Chief Data Officer (CDO) to build and lead our enterprise data vision, strategy, and operations. This executive will transform data into actionable information that drives revenue growth, clinical excellence, people insights, and overall organizational performance.

The CDO will enable WELL Health to become a leading-edge, insights-driven organization—advancing impact KPIs, operational efficiency, team member engagement, and data-informed decision‑making across every business unit.

Key Responsibilities Strategy & Leadership
  • Develop and own a company-wide data strategy that supports WELL Health’s priorities across revenue, clinical operations, digital health, people, and corporate functions.
  • Establish a unified data architecture and governance model that ensures accuracy, clarity, privacy, and regulatory compliance.
  • Champion a data-driven culture that promotes adoption, literacy, accountability, and trust in data across all levels of the organization.
  • Identify and communicate enterprise performance patterns to support confident, informed decisions.
  • Drive data-enabled decision-making for product launches, revenue acceleration, and operational excellence.
Data Management & Analytics
  • Build and oversee an enterprise data ecosystem spanning data collection, engineering, analytics, reporting, and visualization.
  • Develop and lead a robust data governance program ensuring consistent definitions, high-quality data, and strong stewardship.
  • Implement advanced analytics and AI systems that convert raw data into insights that drive revenue growth, operational efficiency, and people engagement.
  • Deliver governed, self-service data that teams can easily find, trust, and use to answer questions safely and independently.
  • Lead the creation of dashboards and KPI frameworks that connect culture, performance, clinical outcomes, and financial results.
Cross‑Functional Collaboration
  • Partner with leaders across Clinics, Virtual Care, Primary and Specialty Care, Digital Health, Finance, People & Culture, Operations, and Corporate Development to meet evolving data needs.
  • Support executive and board reporting with timely, contextual, and actionable insights.
  • Collaborate closely with Cybersecurity, GRC, Cloud Engineering, and Technology Services to ensure alignment around data security, privacy, and integrity.
  • Translate complex business questions into analytical models that identify drivers of revenue, EBITDA, profit, EPS, share price, and overall organizational performance.
  • Use data to shape operational targets and accountability models that drive smart, outcome‑oriented execution.
Team Building & Leadership
  • Build and lead a high-performing data and analytics organization.
  • Mentor and develop talent in data engineering, business intelligence, AI/ML, analytics, reporting, and data product management.
  • Promote adoption of advanced tools that empower team members through accessible, high-quality insights.
Qualifications
  • Senior executive experience leading enterprise data teams in complex or multi‑unit organizations.
  • Deep expertise in data strategy, governance, engineering, analytics, and AI.
  • Strong knowledge of cloud‑native data architectures, modern data platforms, and data pipelines.
  • Expertise in data security, privacy, and governance within…
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