130K–210K USD / year
GTM Data Governance Manager (MDM)
DataWorkplace — United States
Published on 2026-10-21
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About this role
Own LaunchDarkly’s master data management roadmap and governance standards for customer accounts, contacts, and organization hierarchies. Define how reliable customer records are matched, maintained, and shared across CRM, billing, product, support, and analytics systems.
About the company
LaunchDarkly is a feature management platform that lets teams release, target, and control product features with flags without redeploying code.
What you'll do
- Own the MDM roadmap and operating model for account, contact, and organization hierarchy data.
- Define golden-record matching, merging, survivorship, and hierarchy rules across systems.
- Establish governance standards, stewardship roles, data definitions, and quality SLAs.
- Build and monitor data quality rules, scorecards, and dashboards; drive remediation and report progress to leadership.
- Set integration patterns and acceptance criteria with Data Engineering and GTM Systems; recommend build-versus-buy tooling.
- Provide documented data products for analytics and AI use cases and inform Legal and Security on data handling requirements.
What we're looking for
- 8+ years in data management, governance, engineering, or analytics, including 2+ years leading MDM or data quality programs.
- Hands-on experience designing match, merge, survivorship, golden-record, or hierarchy models.
- Experience with Salesforce data models and CRM data quality at scale.
- Experience building and operating data governance frameworks, including policies, stewardship, and SLAs.
- Ability to translate business needs into data requirements and explain technical tradeoffs to non-technical stakeholders.
- Track record delivering cross-functional programs without direct authority.
Nice to have
- B2B SaaS experience with product-led or hybrid sales, including mapping product users and workspaces to CRM accounts.
- Familiarity with enrichment and firmographic data, entity matching, and ML- or LLM-assisted matching and cleansing.
- Working knowledge of GDPR, CCPA, and security frameworks such as SOC 2.
Benefits
- Restricted Stock Units (RSUs)
- Health, vision, and dental insurance
- Mental health benefits