Director Data Platform Governance
Toronto, Canada (Hybrid)
Full Time
Position Overview
The Director of Data Platform Governance is responsible for establishing, operating, and continuously improving the Digital Technology governance capabilities that ensure Enterprise Data Platform and related governance tooling ecosystem are controlled, integrated, secure, scalable, traceable, and fit for enterprise use. This includes platform governance standards, certified EDP table usage, metadata, catalog, lineage, data quality monitoring, lifecycle controls, automation, bots, agents, and other tools and services that support governed data creation, certification, publication, and consumption.
The role provides DT leadership for the technical enablement, enterprise integration, architecture and security alignment, platform controls, and operational reliability of this tooling ecosystem. SimpleMDG is a key Data Governance capability sitting on top of SAP, and the Director ensures it is integrated and governed consistently with EDP, SAP, downstream platforms, and other governance-enabling tools across the enterprise technology landscape. The Director also works closely with Technology Architects to ensure proper data flow, lineage, traceability, and integration patterns across the Enterprise Data Platform.
The Director works in close alignment with Business Transformation Data Governance through a shared agenda, agreed priorities, and clear ownership boundaries. Business Transformation Data Governance and business data owners remain accountable for business definitions, semantic layer, approval workflow design, mandatory business rules, reference data certification, stewardship logic, and business adoption, while DT ensures those decisions can be embedded consistently across platforms, workflows, tools, certified data assets, data products, and consumption layers.
Key Responsibilities
- Enterprise Data Platform Governance and Certified Data Consumption
Establish, operate, and continuously improve DT governance standards for the Enterprise Data Platform, ensuring that data products are created and consumed using certified EDP tables where available.
Define platform-level controls, metadata, lineage, traceability, catalog, and data product governance expectations for EDP assets and consumption layers.
Partner with Business Data Governance and DT delivery teams to embed certified data consumption, lineage, controls, and governance checkpoints into delivery standards and ways of working.
Work with Technology Architects to ensure proper data flow, integration patterns, certified consumption paths, lineage, and traceability across the Enterprise Data Platform.
- Governance Tooling Ecosystem Enablement
Provide DT leadership for the implementation, integration, controls, security, scalability, and operational reliability of the governance tooling ecosystem, including SimpleMDG, metadata and catalog solutions, lineage tools, data quality monitoring, automation, bots, agents, and related platform services.
Ensure governance tools are connected appropriately across SAP, EDP, downstream platforms, workflows, and consumption layers so that business-approved governance decisions can be executed consistently.
Maintain clear ownership boundaries by enabling business-led configuration decisions while ensuring the technical design, integration, access, auditability, and sustainability of the tools.
- Master Data Platform Enablement and Enterprise Integration
Support business-led master data governance model by ensuring master data capabilities are technically enabled, integrated, secure, scalable, and aligned with enterprise architecture and data platform standards.
Ensure governed and certified master data can be integrated, exposed, monitored, and consumed appropriately across SAP, SimpleMDG, EDP, downstream enterprise applications, and certified data products.
Maintain lineage, traceability, metadata, issue visibility, platform controls, and certified consumption paths for master data from source systems through EDP and downstream usage.
- Data Quality Monitoring, Controls, and Issue Visibility
Enable data quality monitoring, profiling, dashboards, scorecards, preventative controls, and issue visibility across EDP and related governance tooling.
Ensure business-defined rules, thresholds, and quality expectations can be technically implemented, measured, and monitored across platforms and consumption layers.
Partner with BT Data Governance, business stewards, Data Product Owners, and DT teams to support root-cause analysis, remediation tracking, and continuous improvement of data quality controls.
- Metadata, Catalog, Lineage, and Data Intelligence
Establish and operate technical metadata, catalog, lineage, discovery, classification, and transparency capabilities for EDP and related data assets.
Ensure BT-owned business definitions, glossary content, critical data elements, and certification decisions are made visible and usable through platform tools, catalogs, workflows, and data products.
Work with Technology Architects and EDP teams to maintain end-to-end lineage and traceability from source systems through certified EDP tables, data products, and consumption layers.
- Data Lifecycle, Archiving Governance, Retention, and Platform Compliance Controls
Operate technical lifecycle, data archiving governance, retention, archival, disposition, and compliance controls for EDP and related data platforms in alignment with enterprise policy, legal, regulatory, audit, and information governance requirements.
Ensure enterprise data remains manageable, controlled, compliant, traceable, and cost-efficient throughout its lifecycle, including active use, retention, archiving, and disposition across platform and consumption layers.
Required Qualifications
- Bachelor's degree in Information Systems, Computer Science, Business, Supply Chain, or related discipline.
- 12+ years of progressive experience in Data Management, Data Platforms, Master Data Management, or Enterprise Information Management
- 5+ years leading data platform or MDM organizations.
- Strong expertise in SAP Master Data structures and business processes.
- Hands-on experience implementing and operating SAP MDG and/or SimpleMDG.
- Experience leading enterprise data quality initiatives.
- Experience enabling governance operating models and stewardship programs through platform capabilities
- Strong understanding of ERP transformation programs.
- Experience managing enterprise-scale cross-functional initiatives.
Preferred Qualifications
The ideal candidate demonstrates strong expertise in:
- Enterprise Data Platform governance, including certified data assets, governed consumption layers, platform standards, controls, and auditability.
- Data product and certified consumption governance, including ownership visibility, certification practices, guardrails, and governance checkpoints across data products and analytics use cases.
- Metadata, catalog, lineage, and data intelligence capabilities, including traceability, classification, discovery, and transparency across source systems, EDP, data products, and consumption layers.
- Data quality monitoring and control frameworks, including profiling, dashboards, scorecards, preventative controls, issue visibility, and remediation tracking.
- SAP, SimpleMDG/SAP MDG, and master data platform enablement, including integration across SAP, EDP, enterprise applications, analytics platforms, and downstream consumption layers.
- Enterprise integration and lifecycle governance, including source-to-consumption data flows, integration patterns, retention, archiving, compliance, and platform controls.
- Governance-enabling tooling and enterprise transformation, including workflow automation, bots, agents, metadata/catalog tools, lineage tools, data quality platforms, ERP transformation, and enterprise-scale data platform change.
- Critical enterprise data domains and operating models, including supply chain, customer, commercial, and other core data domains, with clear distinction between business-owned governance decisions and DT-owned platform enablement.
The successful candidate will demonstrate:
- Pragmatic execution, solves complex business and data problems and turns governance concepts into measurable results.
- Business process orientation, understands how trusted data supports operational execution, performance, analytics, and decision-making.
- Enterprise mindset, connects platform governance, certified data consumption, and data quality to business outcomes and transformation priorities.
- Influential leadership, builds alignment across Business Transformation, Digital Technology, Data Product Owners, architects, and senior stakeholders.
- Change and adoption focus, drives practical adoption of governance standards, platform controls, tooling, and ways of working.
- Continuous improvement discipline, improves data quality, platform reliability, governance effectiveness, and operational efficiency.
