Title: Director– Data Governance (ELT Delegate Engagement Program Lead)
Location: Toronto, ON (3 Days/Week from Office and 2 days Remote)
Duration: 6 to 12+ Months (Possibility of Extension)
Start: ASAP
The expected base salary range for this position is $80/HR - $90/HR, depending on experience, skills, and internal equity. The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.
For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments. We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.
Position Overview
Client is seeking a Program Lead to drive the activation and execution of the ELT Delegate Engagement Program.
This role will lead a high-visibility enterprise initiative focused on strengthening business accountability for data risk, data quality, and data governance across global segments and functions.
The ideal candidate will have strong enterprise program management, data governance, executive stakeholder engagement, and change leadership experience within a complex and regulated organization.
Key Responsibilities
1. ELT Delegate Activation Program
- Lead day-to-day execution of the ELT Delegate Engagement Program.
- Manage activation plans, milestones, dependencies, risks, decisions, and outcomes.
- Drive delegate onboarding through sustained adoption of the governance operating model.
- Coordinate activities across multiple business segments and functions.
2. Executive Stakeholder Management
- Build trusted relationships with senior leaders, ELT Delegates, Data Owners, Data Stewards, and governance teams.
- Lead executive onboarding, workshops, working sessions, and briefings.
- Influence stakeholders, remove barriers, and drive timely decision-making.
- Communicate complex governance topics in clear, business-focused language.
3. Data Governance & Program Facilitation
- Facilitate data landscape assessments to identify:
- Critical data
- Data ownership
- Dependencies
- Governance gaps
- Data risks
- Establish and support local Data Governance Forums.
- Drive resolution and escalation of data risks, issues, ownership, and accountability gaps.
- Support implementation of governance decision rights, accountabilities, and escalation paths.
4. Executive Reporting & Communications
- Prepare executive presentations, leadership briefings, status reports, dashboards, and metrics.
- Track program progress and provide recommendations and escalations.
- Translate program activities into measurable business outcomes and risk reduction.
- Provide leadership with clear visibility into progress, risks, and decisions required.
5. Change Leadership & Adoption
- Drive adoption and sustained participation in data governance practices.
- Embed governance activities into business operating rhythms and decision-making forums.
- Improve governance activation processes, tools, templates, and operating practices.
- Ensure governance strategy and policies are translated into practical business processes and controls.
Must-Have Qualifications
- 5+ years of experience leading:
- Enterprise Data Governance programs
- Data Management programs
- Data Transformation programs
- Related enterprise transformation initiatives
- Experience working within a complex and/or regulated organization.
- Strong executive communication, presentation, and facilitation skills.
- Proven experience influencing senior leadership and executive stakeholders.
- Strong experience managing complex, multi-workstream enterprise programs from concept through execution.
- Strong knowledge of Data Governance principles and practices, including:
- Data ownership & stewardship
- Critical data identification
- Data quality
- Metadata & data lineage
- Data issue management
- Data controls
- Data risk
- Experience designing, implementing, or operationalizing enterprise data governance operating models.
- Experience with governance forums, decision rights, accountability models, standards, and escalation processes.
- Ability to translate data governance strategy/policy into practical business processes, controls, and measurable outcomes.
- Strong program management, organization, coordination, and follow-through skills.
Nice-to-Have
- Financial services/insurance industry experience.
- Experience in a highly matrixed global organization.
- Experience working directly with ELT / executive-level stakeholders.
- Experience driving enterprise-wide change management and adoption.
- Familiarity with program management methodologies and tools.
- Experience connecting data governance initiatives to business value, risk reduction, and measurable outcomes.
Benefits:
“The Company offers a total rewards package for this position that may include employer-sponsored benefits, where applicable and subject to eligibility requirements, such as supplemental health and dental coverage, life insurance, disability insurance, retirement or savings programs, paid time off, and other benefits.
The availability, structure, and scope of benefits may vary based on role, employment status, work location, and applicable federal and provincial laws. The Company provides all statutory entitlements, including public holidays, vacation, leaves of absence, and government-mandated benefits, in accordance with applicable law"
"We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing"
