Manager, Data

Title: Manager, Data & Insights  Reports to: CEO  Status: Full-time, Permanent  Location:  Hybrid (Toronto)  Position Summary   The OAO is building a stronger data foundation to support advocacy, member value, public awareness, and organizational decision-making. We are hiring a Manager, Data & Insights to turn complex information such as OHIP utilization, fee code performance, membership trends, survey results, continued education analytics, digital engagement, and public policy research into clear, actionable recommendations.  This role is responsible for creating the systems, dashboards, and analytical frameworks that support OAO’s strategic plan, including the Insight pillar which calls for a centralized hub of optometric data and improved access to sector trends.  The OAO is entering a new strategic cycle with an explicit commitment to building a centralized data hub and strengthening insight-driven decision-making across the organization. This role leads that effort by developing the systems, standards, and analytical capabilities necessary to understand trends in OHIP, membership, Continued Education engagement, public perception, and broader sector dynamics.  This is not a “report-generator” role. This is a strategic analyst who can show what the data means and what OAO needs to do about it.  Key Responsibilities   1. Data Strategy & Infrastructure   Build the OAO’s data strategy aligned with the strategic plan and KPIs.  Design the centralized data hub for member, OHIP, CE, campaign, and survey data.  Improve data quality, integration, and consistency across systems (HubSpot, SharePoint, web analytics, CE systems, and financial systems).  Develop repeatable reporting structures (quarterly dashboards, annual trend reports).  2. Analysis & Insight   Analyze OHIP remuneration trends, fee code utilization, and policy impacts.  Model membership growth and churn; identify drivers (fee, CE, value gaps).  Conduct deep-dive analyses on member satisfaction, usage of benefits, and program ROI using available member research.  (e.g., identify impact of public awareness, CE uptake, and government advocacy — top drivers of satisfaction in current surveys.)  Create policy-relevant insights to support negotiations, advocacy, and public messaging.  Translate raw data into stories and practical recommendations for senior leadership and the Board.  3. Performance Measurement   Develop and monitor organizational KPIs across all four strategic pillars (Unity, Advocacy, Influence, Insight).  Build dashboards for:  Member engagement  Advocacy touchpoints  Public campaign performance  CE participation  Operational metrics (renewals, revenue, IT adoption)  Present findings to the CEO, Board committees, and working groups.  4. Research & Policy Analysis   Review and synthesize external research (health-system reports, workforce data, academic papers, comparator provincial data).  Conduct environmental scans to inform OAO’s positions and messaging.  Support government relations by identifying trends, gaps, and opportunities.  5. Cross-Functional Support   Work with MarComm to measure impact of campaigns and build audience segmentation.  Support Finance with forecasting and scenario modelling.  Provide data for negotiations, public education, and membership communications.  Qualifications   5–10 years in analytics, data strategy, health policy, economics, or insights.  Experience with healthcare data, public sector data, or membership associations.  Skilled in BI tools (Power BI, Tableau), CRM data (HubSpot preferred), SQL, Excel, and modelling.  Excellent communicator — can brief executives without drowning them in detail.  Able to synthesize data from multiple sources and form a coherent narrative.  Familiar with Ontario’s health system or regulated health professions (asset).  Core Competencies   Analytical discipline with strong judgement.  Clear, concise communication.  Ability to influence decisions using evidence.  Comfort with ambiguity and building from scratch.  High integrity and responsible handling of sensitive data.  Final compensation will be based on the successful candidate’s experience, skills, and level of responsibility within the role. A full benefits package and reimbursement are included.  To apply, please send your resume and a brief cover note to   Applications will be reviewed on a rolling basis until the position is filled.