Senior Manager, Data Analytics & Automation-Data Modernization
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Key skills for this role
About the Role
KPMG Canada is seeking a Senior Manager in Data, Analytics and Automation to lead data modernization strategy and transformation engagements. The role involves developing enterprise data strategies, defining data operating models, establishing governance frameworks, and advising on data platform modernization.
Key Skills for This Role
Responsibilities
- Lead the development of enterprise data strategies, roadmaps, and transformation plans
- Define and design data operating models (e.g., federated, domain based, data product oriented)
- Establish data governance frameworks, including ownership models, stewardship structures, and decision rights
- Design data management capabilities including metadata, lineage, data quality, and master data management
- Advise on data platform modernization (e.g., Databricks, cloud ecosystems) at a strategic and architectural level
- Facilitate executive workshops to align on data vision, priorities, and investment cases
- Define data product strategies and support domain oriented data ownership models
- Ensure alignment between business objectives and data capabilities
- Provide thought leadership on regulatory and risk considerations (e.g., privacy, financial reporting, data controls)
- Lead stakeholder engagement and communicate complex data concepts to business and technical audiences
- Support the development of new data advisory offerings and go to market strategies
- Mentor and develop team members across data strategy, governance, and transformation
Requirements
- 10+ years of experience in data strategy, data governance, or enterprise data management in a consulting role
- University degree in computer science, information management, business administration, or a related field
- Proven experience leading data transformation or modernization initiatives
- Strong understanding of data governance frameworks, operating models, and data management practices
- Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual level
- Strong ability to engage and influence senior stakeholders and executives
- Excellent communication skills with the ability to translate complex data concepts into business value
- Experience in financial services or insurance is considered an asset
- Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an asset
- DCAM or DAMA certification is considered an asset
Full Job Posting
Overview
- KPMG's Management Consulting practice helps organizations leverage change.
- The Data, Analytics and Automation team helps organizations unlock value from data and AI.
- The Senior Manager will lead data modernization strategy and transformation engagements.
What You Will Do
- Lead the development of enterprise data strategies, roadmaps, and transformation plans.
- Define and design data operating models (e.g., federated, domain based, data product oriented).
- Establish data governance frameworks, including ownership models, stewardship structures, and decision rights.
- Design data management capabilities including metadata, lineage, data quality, and master data management.
- Advise on data platform modernization (e.g., Databricks, cloud ecosystems) at a strategic and architectural level.
- Facilitate executive workshops to align on data vision, priorities, and investment cases.
- Define data product strategies and support domain oriented data ownership models.
- Ensure alignment between business objectives and data capabilities.
- Provide thought leadership on regulatory and risk considerations (e.g., privacy, financial reporting, data controls).
- Lead stakeholder engagement and communicate complex data concepts to business and technical audiences.
- Support the development of new data advisory offerings and go to market strategies.
- Mentor and develop team members across data strategy, governance, and transformation.
What You Bring To The Role
- University degree in computer science, information management, business administration, or a related field.
- 10+ years of experience in data strategy, data governance, or enterprise data management in a consulting role.
- Proven experience leading data transformation or modernization initiatives.
- Strong understanding of data governance frameworks, operating models, and data management practices.
- Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual level.
- Strong ability to engage and influence senior stakeholders and executives.
- Excellent communication skills with the ability to translate complex data concepts into business value.
- Experience in financial services or insurance is considered an asset.
- Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an asset.
- DCAM or DAMA certification is considered an asset.
Pay Range Information
- Expected base salary range: CAD 131,000 to CAD 179,500.
- May be eligible for bonus awards.
- Comprehensive and competitive Total Rewards program.
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