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LaunchDarkly

Builds controls for software releases and AI agents

GTM Data Governance Manager - MDM

Data ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 8 years of experience in data management, data governance, data engineering, or analytics, including at least 2 years leading master data management or data quality programs.
  • Hands-on experience designing match, merge, and survivorship rules and golden-record or hierarchy models, with demonstrable results.
  • Experience with Salesforce data models and CRM data quality at scale.
  • Experience building and operating a data governance framework, including policies, stewardship models, and service-level agreements.
  • 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.

Responsibilities

  • Own the master data management 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, including ownership, stewardship roles, definitions, and data quality service-level agreements, in partnership with Sales, Marketing, Finance, and Customer Success.
  • Run 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 whether to build or buy master data management, identity resolution, enrichment, and data quality tools.
  • Provide trusted, well-documented data products for analytics and AI use cases.
  • Act as the data owner with Legal and Security on personally identifiable information handling, GDPR and CCPA requirements, retention, and access controls.

Desired Qualifications

  • Experience at a B2B SaaS company with a product-led or hybrid sales motion, including mapping product users and workspaces to CRM accounts.
  • Familiarity with enrichment and firmographic data, entity matching approaches, and machine-learning-assisted or large-language-model-assisted matching and cleansing.
  • Working knowledge of data privacy regulations, including GDPR and CCPA, and security frameworks such as SOC 2.

About the Company

LaunchDarkly

Builds controls for software releases and AI agents

LaunchDarkly builds software that lets engineering and product teams control released features and AI agents without shipping another version of an application. Its CodeControl product combines feature flags, which switch behavior on or off for selected users, with experimentation and tools for observing errors. AgentControl manages prompts and model settings, evaluates responses, and routes requests between models to improve output and control spending. Customers integrate the platform into their applications and pay through usage-based plans or custom enterprise contracts. Founded in 2014, LaunchDarkly is headquartered in Oakland, California.

Company size
501-1,000
Company stage
Series D
Total funding
$330.3M
Headquarters
Oakland, CA
Founded
2014

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