Senior Manager, Data Governance

Role Overview

• Work with Domain Owners/Data Stewards to define Data Governance Epic Scope and Identify new CDEs with proper Business Glossary Definitions;
• Define the necessary Data Quality and Reconciliation Rules/Business Logic required to ensure the efficacy of CDEs,
• Work with Data Engineering to ensure we capture Technical Lineage for our CDEs,
• Implement CDE Data Quality Rules, Reconciliation Controls and corresponding Quality Dashboards
• Automate CA Data Governance processes in our Metadata/MDM tooling (i.e. Match-Merge Resolution, etc.);
• Lead Data Remediation activities with Technology Platform Owners and cross-functional teams;
• Maintain/Publish Data Governance Reporting/Status for all activities; etc.
• Implement comprehensive data governance practices, including data stewardship, metadata management, data lineage, quality assurance, identification and governance of Critical Data Elements, promotion of data ethics and responsible AI practices, and master data management processes across multiple domains.
• Lead the maintenance and optimization of data governance ensuring compliance with regulatory requirements (e.g., GDPR, CCPA) and internal standards.
• Drive the rollout of new, automated data governance practices by integrating tools like Atlan for advanced metadata management, cataloging, automated data profiling (via Playbooks), governance workflows (for approvals, access requests, metadata enrichment, and policy enforcement), Reltio for master data management (including advanced match, merge, survivorship, and golden record creation for entities such as Salesforce Accounts, Opportunities, and related objects), and platforms such as Databricks (Unity Catalog), Tableau Cloud and Snowflake.
• Conduct assessments of current data assets across domains and legacy sources, identify gaps (including profiling insights and CDE prioritization), and create roadmaps for migrating governance processes from older tech stacks to modern, automated tools that enable hybrid governance models (balancing domain-led ownership with enterprise standards) while addressing domain-specific requirements.
• Collaborate with IT, Data Engineering, analytics, business stakeholders, and domain leads (e.g., in Finance, Customer, Supply, Audience, Measurement & Attribution) to define data ownership, establish enterprise-wide data catalogs, identify and document Critical Data Elements , drive data literacy and change management initiatives across the organization, and implement automated workflows for data classification, auditing, access management, identity and access governance, third-party data sharing, issue resolution, and quality enforcement.
• Mentor and lead a team of 3 Data Governance Analysts, providing guidance on best practices in data governance and MDM, AI-readiness, training on both traditional and emerging tools, and fostering a collaborative, high-performance team environment.
• Monitor data governance metrics and program effectiveness across domains, perform root cause analysis for recurring data quality issues, report insights to leadership, and recommend improvements to enhance data trustworthiness, operational efficiency, and business outcomes while driving measurable business value through governed data.
• Stay abreast of industry trends in data governance, MDM, and advertising technology, and contribute to data strategy, including vendor evaluations and proof-of-concept initiatives.
• A key focus will be identifying, defining, and governing Critical Data Elements to prioritize governance efforts on the most business-critical data assets and promote ethical, responsible data use in support of AI initiatives.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field (Master's preferred).
• 7+ years of experience in data governance, data management, or a similar role, with at least 3 years in a senior or leadership capacity managing teams.
• Strong foundational knowledge of data governance frameworks (e.g., DAMA-DMBOK).
• Hands-on expertise in implementing data governance and MDM on modern platforms, such as Atlan for metadata/cataloging, automated data profiling (Playbooks), governance workflows, and policy automation; Reltio for MDM (with emphasis on match/merge/survivorship for Salesforce entities like Accounts and Opportunities); Databricks Unity Catalog; Snowflake Polaris Catalog; and AWS services (e.g., S3, Glue, Athena).
• Proficiency in SQL and data modeling, with experience in data quality tools and processes (e.g., profiling, cleansing, and validation).

Tech Stack

• AWS
• Cloud
• SQL
• Tableau
• Unity

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options