Data Quality Management Lead

Deloitte View all jobs

  • Toronto, ON
  • $85,000-156,000 per year
  • Permanent
  • Full-time
  • 7 days ago
Job Type: Permanent
Work Model: Hybrid
Reference code: 132605
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Burlington, ONOur PurposeAt 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 Quality Management Lead is responsible for designing, implementing, and operationalizing the enterprise Data Quality (DQ) framework across business domains. This role ensures that critical data assets are accurate, complete, consistent, timely, and fit-for-purpose to support regulatory reporting, analytics, operational excellence, and strategic decision-making.Key ResponsibilitiesData Quality Strategy, Framework and Implementation
  • Develop, implement, operationalize and support the ongoing execution of the enterprise Data Quality Management framework.
  • Establish data quality standards, procedures, and control mechanisms and translate into actionable controls and practices.
  • Ensure alignment with enterprise Data Governance and Risk Management frameworks and integrate into the enterprise Data Architecture.
Data Quality Monitoring, Controls and Issues Management
  • Design and implement automated DQ rules and validation checks across critical data elements (CDEs).
  • Integrate automated agents for continuous monitoring and real‑time issue flagging, audit trails, reporting and issue escalation and resolution.
  • Implement issue management workflows with clear ownership and SLA tracking.
  • Monitor recurring data quality issues and trends, escalating material risks as required through governance channels
Stakeholder Engagement & Domain and Data Stewards Enablement
  • Partner with Data Owners and Data Stewards to embed DQ accountability.
  • Facilitate domain-level DQ forums and working groups.
  • Provide guidance to business units on DQ best practices and control design.
Develop and Implement DQ Management Standards Across all Relevant Data-Related Initiative
  • Establish standards for data profiling, data requirements, data validation, reconciliation and other relevant testing for all initiatives that require implementation through the Enterprise Data Platform.
  • Ensure all relevant initiatives include sufficient business testing and UAT will production today in advance of implementation with sufficient testing timelines to certify data quality in advance of go-live.
  • Support identification and resolution of data-related issues pre and post go-live
Metadata & Data Controls Integration
  • Collaborate with Data Governance, Metadata Management, and Data Architecture teams.
  • Ensure DQ rules are aligned with data lineage and data classification frameworks.
  • Support integration of DQ capabilities within data platforms (e.g., ETL, MDM, Data Lakes).
  • Ensure that all data pipelines undertake a certification process to meet control and data quality standards and requirements
Reporting & Stakeholder Communication
  • Prepare enterprise-level DQ dashboards including historical, current and projected DQ related KPIs.
  • Present insights, trends, and risk exposures to senior leadership.
  • Track remediation effectiveness and continuous improvement metrics.
Continuous Improvement
  • Identify automation opportunities in DQ monitoring and remediation.
  • Benchmark against industry best practices.
  • Evaluate emerging technologies and innovations that enable Data Quality Management including Agentic AI, LLMs, autonomous agents, and AI tooling to uplift DQ maturity.
About the teamThe 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 youYou are someone with these required skills:
  • Bachelor’s degree in Information Systems, Data Management, Computer Science, or related field.
  • 8+ years of experience in Data Governance, Data Quality, or Data Management.
  • 3+ years leading enterprise-wide DQ initiatives.
  • Demonstrated experience delivering Data Quality programs, Data governance frameworks, Data lifecycle management, and/or relevant controls frameworks
  • Experience with leading DQ tools such as: Informatica DQ, Collibra DQ, Talend, Ataccama etc.
  • Strong SQL skills and familiarity with data profiling, data analysis, DQ rule design, and DQ metrics.
  • Demonstrated experience leveraging modern AI tools for data management.
  • Hands-on use of agentic coding tools such as GitHub Copilot, Claude Code, OpenAI Codex etc as well as Cursor, VSC and/or equivalent. to accelerate DQ engineering, rule creation, data profiling, data analysis, metadata alignment, issue root-cause analysis and resolution, and/or documentation.
  • Demonstrated experience in use AI agents for automated DQ rule generation, anomaly detection, and issue remediation.
  • Experience integrating AI-assisted controls within ETL, MDM, and cloud platforms.
It would be great for you to have some of these nice to have’s as well:
  • Experience leading AI adoption initiatives across governance, analytics, or engineering teams.
  • Knowledge of BCBS 239, GDPR, SOX, equivalent regulatory standards, and/or controls frameworks.
  • Relevant vendor certifications, ISO 8000 experience
  • Experience with Azure and Databricks, or equivalent hyperscaler technology
  • Experience building AI agents for metadata enrichment or automated lineage extraction
Total RewardsThe 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 beSome 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 yoursAt 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 , and the .We encourage you to connect with us at if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or 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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