IT Specialist, Enterprise Applications - Analytics Governance & DevOps

Key Responsibilities

• Governance
• Develop and maintain enterprise-wide analytics governance frameworks, standards, workflows and best practices fit for Saputo.
• Define and operationalize processes for: Roles and Responsibilities Data Integrity, Data Dictionary / Business Glossary Governance Metadata Management and Lineage Access control and Data Security Compliance with internal and regulatory standards Development Standards and Release Management
• Roles and Responsibilities
• Data Integrity, Data Dictionary / Business Glossary Governance
• Metadata Management and Lineage
• Access control and Data Security
• Compliance with internal and regulatory standards
• Development Standards and Release Management
• Collaborate closely with business stakeholders, IT teams, Security, and Enterprise Architecture to align governance initiatives with organizational goals.
• Partner with Microsoft Fabric platform administrators and Architects to ensure governance standards are embedded within the platform.
• Drive adoption and enablement through documentation, training, and stakeholder engagement.
• Support FinOps and cost optimization through governance-driven insights.
• DevOps
• Own the DevOps strategy and implementation for analytics and data engineering solutions.
• Design and maintain CI/CD pipelines for data workflows, analytics assets, and platform components.
• Establish standards and guiding principles working closely with Analytics Architects for: Version control Testing Release management Environment management (Dev/Test/Prod) Workspace standards Naming Standards Documentation Standards and Templates
• Version control
• Testing
• Release management
• Environment management (Dev/Test/Prod)
• Workspace standards
• Naming Standards
• Documentation Standards and Templates
• Monitor and optimize DevOps processes to ensure reliability, scalability, and performance.
• Implement governance controls within DevOps pipelines to ensure compliance and auditability.
• Support continuous improvement of deployment processes and optimizations.
• Data Quality & Trust
• Define enterprise data quality standards, KPIs, thresholds, and acceptance criteria.
• Govern data quality monitoring, issue management, and remediation workflows in partnership with data owners and data engineering teams.
• Ensure transparency of data quality and lineage to support confident business consumption.
• Collaboration & Enablement
• Act as a key liaison between Data Engineering, BI, Security, Architecture and business units.
• Work with Enterprise Architecture to align governance and DevOps practices with broader technology strategy.
• Provide guidance and thought leadership on modern data governance and DevOps practices .
• Influence and drive adoption of standards across teams.

Success Measures

Required Skills & Experience

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 3+ years of experience in: Data governance, analytics governance, or data management DevOps practices in data/analytics environments Hands-on experience with Microsoft data platforms, including Microsoft Fabric, Purview, Azure, DevOps, or similar Data Lake tools.
• Data governance, analytics governance, or data management
• DevOps practices in data/analytics environments
• Hands-on experience with Microsoft data platforms, including Microsoft Fabric, Purview, Azure, DevOps, or similar Data Lake tools.
• Strong understanding of: Business value drivers from Data Data Lake Designs and Value Drivers Self-Serve Analytics Data and Analytic Lifecycle Management Data Security and Access Controls, RLS CLS, labels, tags CI/CD pipelines and automation
• Business value drivers from Data
• Data Lake Designs and Value Drivers
• Self-Serve Analytics
• Data and Analytic Lifecycle Management
• Data Security and Access Controls, RLS CLS, labels, tags
• CI/CD pipelines and automation
• Experience working in highly motivated cross-functional environments with both technical and business stakeholders.
• Experience with large scale modern data and analytics transformations within a CPG company (ideally running SAP), implementing new platforms and data lakes, defining new ways of working to drive business value and outcomes through data and analytics in a self-server culture.
• Serve as a primary liaison facilitating effective communication and collaboration among Data Engineering, Business Intelligence, Security, Architecture teams, and various business units.
• Familiarity with data cataloging, lineage, and quality tools.
• Knowledge of regulatory and compliance requirements (e.g., GDPR, SOX, etc.).
• (Preferred) Certifications in Azure, DevOps, or data management are an asset.
• Key Competencies Strategic thinking with strong execution skills Excellent communication and stakeholder management Problem-solving and analytical mindset Ability to influence and drive change across teams Strong attention to detail and governance discipline
• Strategic thinking with strong execution skills
• Excellent communication and stakeholder management
• Problem-solving and analytical mindset
• Ability to influence and drive change across teams
• Strong attention to detail and governance discipline

We support and take care of our employees and their families by offering

Salary

• $102,075 to $133,975

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