LaunchDarkly - GTM Data Governance Manager (MDM)
Requirements
• 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. • 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 ML-assisted or LLM-assisted matching and cleansing. • Working knowledge of data privacy regulations (GDPR, CCPA) and security frameworks such as SOC 2. • 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, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $137,600 - $189,200** • Zone 3: All other US locations - $129,900 - $178,640** • LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. • Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. • Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. • The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages • Delivering targeted experiences by easily personalizing features to customer cohorts • Maximizing the business impact of every feature through the ability to experiment and optimize • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
Responsibilities
• 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. • Who You'll Work With:
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