GTM Data Governance Manager; MDM

AI-powered workflows are only as good as the customer data underneath them. Launch Darkly helps engineering teams ship software faster and more safely through feature management, experimentation, and AI delivery tooling. As our GTM Data Governance Manager (MDM), you will set the rules that make our core customer data (accounts, contacts, subscriptions, and users) accurate, consistent, and trusted across Salesforce, our billing and finance systems, marketing automation, product usage data, and the data warehouse.

This is an individual contributor role with real ownership of the data model and its standards. You will partner with Data Engineering, GTM Systems, Finance Systems, Legal, and Security to put those standards into production. Your work is the foundation for reliable reporting, accurate territory and segmentation, clean pipeline attribution, and the AI workflows that depend on high-quality data.

• 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, and work with Data Engineering and GTM Systems to build them. 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.
• Who You'll Work With: Data Engineering and GTM Systems build pipelines and Salesforce configuration. Legal and Security own privacy and security decisions, and you inform them as the data owner. You own the rules, standards, and acceptance criteria that tell everyone else what "correct" looks like.

• 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, with results you can describe.
• 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.
• Nice to Have
  • Experience at a B2B SaaS company with a product‑led or hybrid sales motion, including mapping product users and work spaces to CRM accounts.
  • Familiarity with enrichment and firmographic data, entity matching approaches, and ML‑assisted or LLM‑assisted matching and cleansing.
  • Working knowledge of data privacy regulations (GDPR, CCPA) and security frameworks such as SOC 2.

Pay:

Target pay ranges based on Geographic Zones
* for Level 4:

• Zone 1:
  San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $152,900 - $210,210 **
• Zone 2:
  Irvine,…