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Data Governance LeadDeloitte • Toronto, ON, ON, CA
Data Governance Lead

Data Governance Lead

Deloitte • Toronto, ON, ON, CA
13 days ago
Job type
  • Permanent
Job description

Job Type: Permanent
Work Model:
Hybrid
Reference code:
134556
Primary Location:
Toronto, ON
All Available Locations:
Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching

--

Your career is important to you. It's important to us, too. The time is right for you to join Deloitte.

What will your typical day look like?

The Data Governance Lead is responsible for driving enterprise data governance and Master Data Management practices that ensure data is trusted, governed, secure, and fit for business, regulatory, analytics, and AI needs. This role partners across business and technology teams to establish governance standards, data ownership, stewardship, controls, and accountability throughout the organization.

1. Data Governance Strategy, Framework and Operating Model

  • Develop and mature the enterprise Data Governance framework, policies, standards, and operating model.
  • Establish data ownership, stewardship, accountability, and governance processes across business domains.
  • Align governance practices with Data Strategy, Architecture, Risk, Privacy, Security, Compliance, and Data Quality objectives.

2. Master Data Management Governance

  • Lead governance for enterprise master and reference data domains.
  • Define standards for ownership, stewardship, data quality, golden records, and lifecycle management.
  • Ensure master data governance supports analytics, reporting, operational processes, and AI use cases.

3. Data Ownership, Stewardship and Governance Forums

  • Partner with Data Owners and Stewards to strengthen accountability and governance adoption.
  • Facilitate governance forums, issue resolution, and decision-making processes.
  • Deliver training, communications, and guidance to improve data literacy and stewardship.

4. Metadata, Business Glossary, Data Lineage and Critical Data Elements

  • Establish standards for metadata, business glossary, lineage, classification, and Critical Data Elements (CDEs).
  • Ensure data definitions, ownership, lineage, and classifications are documented and maintained.
  • Promote consistent business terminology and trusted data across the organization.

5. Governance Controls, Issue Management and Risk Integration

  • Define governance controls and align practices with Risk, Compliance, Privacy, Security, and Data Quality requirements.
  • Manage governance issues, risks, remediation activities, and audit requirements.
  • Recommend improvements to governance policies, standards, and controls.

6. Governance Standards for Data Initiatives, Data Products and Platform Delivery

  • Define governance requirements for data initiatives, analytics solutions, AI use cases, and data products.
  • Embed governance controls throughout project and product delivery lifecycles.
  • Partner with Architecture and Technology teams to integrate governance into enterprise data platforms.

7. Governance Tooling, Automation and AI Enablement

  • Support implementation and adoption of governance, metadata, lineage, and MDM tools.
  • Drive automation opportunities to improve governance efficiency, stewardship, and reporting.
  • Evaluate and govern AI-enabled capabilities in alignment with enterprise standards.

8. Reporting, Metrics and Senior Stakeholder Communication

  • Define governance metrics, dashboards, and performance reporting.
  • Communicate governance risks, adoption progress, and maturity improvements to stakeholders.
  • Recommend enhancements to governance processes, controls, tooling, and operating models.

About the team

The Data & Insights team serves as the enterprise center of excellence dedicated to enabling trusted, timely, and actionable information across the organization. We partner closely with business and technology stakeholders to modernize reporting ecosystems, elevate analytics capabilities, and strengthen data management practices. Our mandate spans standardizing metrics, enhancing data quality and governance, advancing analytics and automation, and supporting scalable data platforms that drive informed decision-making. By combining technical expertise with strong governance discipline and business alignment, we help transform data into meaningful insights that improve performance, mitigate risk, and support strategic outcomes.

Enough about us, let’s talk about you

You are someone with these required skills:

  • Bachelor degree in Information Systems, Data Management, Computer Science, Business, Engineering, Analytics, or a related field.
  • 8+ years of experience in Data Governance, Data Management, Data Quality, Metadata Management, MDM, Data Controls, or enterprise data transformation.
  • 3+ years leading enterprise-wide data governance, data stewardship, metadata, master data, or control-related initiatives.
  • Demonstrated experience designing and operationalizing Data Governance frameworks, operating models, policies, standards, stewardship models, ownership models, and governance forums.
  • Demonstrated Master Data Management Governance experience, including governance of master data domains, golden source alignment, data standards, data models, survivorship rules, matching and merging rules, approval workflows, stewardship processes, and quality controls.
  • Strong understanding of Critical Data Elements, business glossary, metadata management, data lineage, data classification, data ownership, data stewardship, access governance, and issue management.
  • Experience embedding governance requirements into data platforms, data products, analytics assets, MDM platforms, cloud data environments, ETL or ELT pipelines, reporting assets, and operational processes.
  • Experience with governance, catalog, data quality, metadata, MDM, or data management platforms such as Collibra, Informatica, Microsoft Purview, Atlan, Alation, SAP MDG, Ataccama, Talend, IBM InfoSphere,
  • Databricks Unity Catalog, or equivalent.
  • Strong SQL and data analysis skills, with the ability to understand data structures, lineage, source-to-target mappings, data rules, data models, and data quality outputs.
  • Ability to partner with business, risk, technology, compliance, privacy, security, architecture, and analytics stakeholders to translate governance expectations into actionable practices.
  • Strong facilitation, documentation, communication, executive presentation, and stakeholder management skills.
  • Experience working in Agile, product, program, or transformation delivery environments using tools such as Jira, Confluence, Azure DevOps, SharePoint, or equivalent.
  • Demonstrated ability to create clear documentation, playbooks, operating procedures, governance dashboards, decision materials, and senior stakeholder updates.
  • Demonstrated experience leveraging modern AI tools to accelerate governance documentation, metadata analysis, policy interpretation, glossary development, issue analysis, and stakeholder communication.

It would be great for you to have some of these nice to have’s as well:

  • Knowledge of DAMA-DMBOK, DCAM, EDM Council, ISO 8000, BCBS 239, GDPR, SOX, OSFI, privacy, financial services regulatory reporting, or equivalent data management and control frameworks.
  • Experience leading governance adoption initiatives across business, analytics, engineering, risk, or platform teams.
  • Relevant certifications such as CDMP, Collibra, Informatica, Microsoft Purview, SAP MDG, Databricks, Snowflake, DAMA, DCAM, or cloud and data management certifications.
  • Experience with Azure, Databricks, Snowflake, AWS, GCP, Microsoft Fabric, or equivalent cloud and lakehouse platforms.
  • Experience working in regulated industries such as financial services, professional services, public sector, healthcare, telecommunications, manufacturing, or energy.
  • Experience designing or using AI agents for metadata enrichment, glossary development, data classification, lineage extraction, governance documentation, issue triage, or steward enablement.

Total Rewards


The salary range for this position is $85,000 - $156,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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Data Governance Lead • Toronto, ON, ON, CA

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