GTM Data Governance Manager – MDM

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. Own the MDM roadmap and operating model for account, contact, and organization hierarchy domains .

Posted 10/21/2026full-timeRemote • United StatesSeniorLead💰 $129,900 - $178,640 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Master Data Management (MDM) and data governance, with a strong focus on defining golden record rules, data quality standards, and integration patterns. Proven ability to collaborate across functions and translate business needs into actionable data requirements while ensuring compliance with GDPR and CCPA.

Highest-signal resume keywords

Master Data Management (MDM)Data Governance FrameworkSalesforce Data ModelsData Quality StandardsGDPR and CCPA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData GovernanceData EngineeringAnalyticsMatch and Merge RulesGolden Record ModelsData Quality ToolingIntegration PatternsData StewardshipEntity Matching

Soft Skills

Cross-Functional CollaborationStakeholder CommunicationLeadership Without Authority

Tools & Technologies

SalesforceData WarehouseAnalytics ToolsData Quality DashboardsEnrichment Providers

Industry Keywords

B2B SaaSProduct-Led SalesHybrid Sales MotionPII HandlingSecurity Frameworks

About the role

Key responsibilities & impact

Own the MDM roadmap and operating model for account, contact, and organization hierarchy domains
Define golden record rules, including matching, merging, survivorship, and parent/child hierarchies across CRM, billing, product, and support systems
Set data governance standards, ownership, stewardship roles, definitions, and quality SLAs
Run onboarding of new data sources, change requests, and lifecycle events such as mergers, acquisitions, and customer reorganizations
Design and monitor data quality rules, scorecards, and dashboards for completeness, accuracy, duplication, and timeliness
Drive remediation and report data health, risks, and progress to leadership with clear metrics and business impact
Specify integration patterns and acceptance criteria across Salesforce, the data warehouse, and enrichment providers
Partner with Data Engineering and GTM Systems to build integrations
Recommend build-versus-buy decisions for MDM, identity resolution, enrichment, and data quality tooling
Provide trusted, documented data products for analytics and AI use cases
Act as data owner with Legal and Security on PII handling, GDPR and CCPA requirements, retention, and access controls
Collaborate with Data Engineering, GTM Systems, Legal, Security, Sales, Marketing, Finance, and Customer Success

Requirements

What you’ll need

8+ years of experience in data management, data governance, data engineering, or analytics, including 2+ years leading MDM or data quality programs
Hands-on experience designing match, merge, and survivorship rules and golden record or hierarchy models
Experience with Salesforce data models and CRM data quality at scale
Experience building and operating a data governance framework, including policies, stewardship models, and SLAs
Ability to translate business needs into data requirements and explain technical tradeoffs to non-technical stakeholders
Track record of delivering cross-functional programs without direct authority
Nice to have: Experience at a B2B SaaS company with a product-led or hybrid sales motion, including mapping product users and workspaces to CRM accounts
Nice to have: Familiarity with enrichment and firmographic data, entity matching approaches, and ML-assisted or LLM-assisted matching and cleansing
Nice to have: Working knowledge of GDPR, CCPA, and security frameworks such as SOC 2

Benefits

Comp & perks

Restricted Stock Units (RSUs)
Health insurance
Vision insurance
Dental insurance
Mental health benefits
High-trust and transparent workplace
Equal opportunity employer valuing diversity