Data Platform Governance Lead

Company Description VDart Digital is a high-growth global digital solutions, product development, and professional services firm headquartered in Atlanta, GA, with a strong presence across North America, Europe, Asia, and the Middle East. The company specializes in building next-generation solutions and connected platforms that transform business operations and customer experiences. VDart Digital delivers turnkey digital transformation, mobility, and supply chain management solutions using AI/ML, GenAI, intelligent automation, data analytics, blockchain, cloud, IoT, identity and access management, UI/UX, full-stack and mobile development, and integration technologies. Its product portfolio includes HireNeura, TestSamurAI, LendSmartAI, IDocLens, VGo Fleet Management, Vvalidate Document Verification, and V Engage Employee Engagement App, providing opportunities to work with innovative tools and platforms.

Location: Toronto, Canada / Chicago, USA

Employment Type: Full-Time

Role Focus: Enterprise Data Platform Governance | SAP Master Data Management | Data Quality & Governance | Enterprise Data Transformation | Technology Leadership

Role Overview

VDart Digital is seeking an experienced Data Platform Governance Lead to lead and strengthen enterprise data platform governance, master data enablement, data quality, and governance technology capabilities across a complex global enterprise environment.

This is a strategic, technology-focused leadership role responsible for establishing and operationalizing governance standards across the Enterprise Data Platform (EDP), ensuring trusted, certified, secure, and traceable data is consistently available for enterprise applications, analytics, and business decision-making.

The successful candidate will bring together enterprise data platform governance, SAP master data expertise, technical architecture, and strong execution leadership, with responsibility for enabling governance technologies, certified data consumption, metadata management, data lineage, data quality controls, and enterprise integration.

This role requires close collaboration with Business Transformation, business data owners, Data Product Owners, Technology Architects, and Digital Technology teams to translate business-defined governance policies into scalable technology solutions, operational controls, and measurable improvements in enterprise data quality and reliability.

The ideal candidate will have extensive experience leading enterprise data governance and master data platform initiatives, particularly within SAP-centric environments, with hands-on knowledge of SAP MDG and/or SimpleMDG, enterprise data platforms, and governance tooling ecosystems.

This opportunity is particularly suited for a hybrid Enterprise Data Transformation Leader from a global manufacturing, CPG, or similarly complex enterprise environment who combines strategic leadership, strong technical depth, cross-functional influence, and a proven ability to execute large-scale data governance and transformation initiatives.

Key Responsibilities

1. Enterprise Data Platform Governance and Certified Data Consumption

· Establish, operate, and continuously improve Digital Technology 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 Digital Technology 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.

2. Governance Tooling Ecosystem Enablement

· Provide Digital Technology 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.

3. 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.

4. 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 Digital Technology teams to support root-cause analysis, remediation tracking, and continuous improvement of data quality controls.

5. 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 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.

6. 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 Digital Technology owned platform enablement.