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GTM Data Governance Manager (MDM) at LaunchDarkly. Location Information: United States. Empowering all teams to deliver and control their software.. Own the MDM roadmap and operating model for the account, contact, and organization hierarchy domains.. Define golden record rules: matching, merging, survivorship, and parent/child hierarchies across CRM, billing, product, and support systems.. Set data governance standards, including ownership, stewardship roles, definitions, and quality SLAs, in partnership with Sales, Marketing, Finance, and Customer Success.. Run the processes for onboarding new data sources, handling change requests, and managing lifecycle events such as mergers, acquisitions, and customer reorganizations.. Design and monitor data quality rules, scorecards, and dashboards covering 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.. Work with Data Engineering and GTM Systems to build integration patterns and recommend build vs. buy for MDM, identity resolution, enrichment, and data quality tooling.. Provide trusted, well-documented data products for analytics and AI use cases.. Act as the data owner with Legal and Security on PII handling, GDPR and CCPA requirements, retention, and access controls.. 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: policies, stewardship models, and SLAs.. Ability to translate business needs into data requirements and explain technical tradeoffs to non-technical stakeholders.. A track record of delivering cross-functional programs without direct authority.. Experience at a B2B SaaS company with a product-led or hybrid sales motion (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 data privacy regulations (GDPR, CCPA) and security frameworks such as SOC 2 (Nice to have).. Pay range:. $129K - $210K. Restricted Stock Units (RSUs). Health, vision, and dental insurance. Mental health benefits