The Role in a Nutshell

The Data Governance Manager plays a critical leadership role in ensuring that Data Governance and Data Architecture remain tightly aligned with GreenShield’s Enterprise Architecture Operating Model. This role ensures that regulatory, compliance, privacy, and data security considerations are embedded into all current technology architectures adopted by the organization.

This position requires strong cross-functional leadership across all lines of business—including Security, Privacy, Compliance, Risk, IT, People & Culture, and Finance—to continually advance GreenShield’s data management maturity, measured against the DAMA-DMBOK framework.

Governance & Assessment

• Lead and conduct Data and AI Impact Assessments for all new projects, initiatives, partnerships, and technologies prior to Architecture Review Board evaluation.


• Collaborate with the AI Centre of Excellence and Enterprise Architecture to ensure assessments align with enterprise technology and service strategy.


• Drive enterprise-wide improvement of Data Governance maturity, measured against DAMA-DMBOK standards.

External & Client-Facing Responsibilities

• Lead Data Governance and Privacy contributions for RFP responses in support of new client opportunities.


• Provide Data Privacy and Data Security responses for recurring client questionnaires, ensuring accuracy, completeness, and alignment to GreenShield’s security posture.

Strategic Leadership

• Ensure regulatory, compliance, privacy,
  
  
  
  and security considerations are embedded in the design of all technology architectures.


• Partner with leaders across business units to ensure ongoing alignment with data governance policies, practices, and architectural requirements.


• Support the evolution of data governance frameworks, standards, and policies across the enterprise.

WHO WERE LOOKING FOR

• Bachelor’s degree in Engineering, Mathematics, Computer Science, or Science


• 15 years of experience in Data Governance, Data Architecture, Information Security, or related domains.


• Strong understanding of Enterprise Architectural Frameworks.


• Strong knowledge and experience with Cloud Data and Software Architecture (i.e. GCP, AWS, Azure)


• Deep knowledge of Data Governance frameworks such as DAMA-DMBOK or DCAM.


• Expertise in Data Security standards, regulatory compliance, and privacy requirements.


• Ability to design, validate, and support agentic AI use cases.


• Strong critical thinking with the ability to find simple, efficient solutions within complex and ambiguous environments.


• Exceptional executive communication skills.






• Proven ability to influence and collaborate across multiple teams and reporting structures.


• Masters Degree in Business Administration


• CDMP, DCAM, CISSP, CISA or TOGAF

Proficiency in English is required for this position. As part of this role, you will be required to communicate with colleagues or customers who use English as their primary language. By requiring English proficiency for this position, we aim to ensure that our employees can excel in their roles, collaborate, and communicate effectively, and contribute to the success of our organization.

GS supports diversity, equity and inclusion in our teams and communities, and we value the unique contributions made by all. Even if your experience doesn’t align perfectly to every requirement, we invite you to apply. We encourage applications from all candidates and will accommodate needs under human rights legislation throughout all stages of the recruitment and selection process. Please let us know of any accommodation through [email protected]. Information received relating to accommodation will be addressed confidentially.

Providing this information gives GS consent to use your personal information to assess your suitability for specific positions, future opportunities or for your personnel file. Your résumé will be held in strict confidence and will be viewed only by the Organization. Information may be stored outside of Canada and could be used for aggregate statistical purposes (which uses no personal identification).