GTM Data Governance Manager (MDM) New Remote - US

LaunchDarkly Group; United States; Remote; USD 130,000 - 210,000; Full time

Benefits offered by this job

RSUs

Health insurance

Vision insurance

Dental insurance

Mental health benefits

Job summary

LaunchDarkly Group is seeking a GTM Data Governance Manager (MDM) to own the data model for accounts, contacts, subscriptions, and users across Salesforce, billing and finance systems, marketing automation, product usage data, and the data warehouse.

You will partner with Data Engineering, GTM Systems, Finance Systems, Legal, and Security to codify standards, define golden records, and establish quality SLAs.

Qualifications

• 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.
• Nice to Have: Experience at a B2B SaaS company with product-led or hybrid sales motion; familiarity with enrichment and firmographic data; data privacy regulations (GDPR, CCPA) and SOC 2.

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 onboarding, change requests, and lifecycle events.
• Design and monitor data quality rules, scorecards, and dashboards covering completeness, accuracy, duplication, and timeliness.
• Specify integration patterns and acceptance criteria across Salesforce, the data warehouse, and enrichment providers; 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; own data privacy, retention, access controls.
• Who You'll Work With: Data Engineering and GTM Systems build pipelines and Salesforce configuration; Legal and Security own privacy decisions.

Skills

MDM

Data governance

Salesforce

Data quality

Data modeling

Stakeholder management

Tools

Salesforce

Data warehouse

CRM data quality

Enrichment providers

Job description

AI-powered workflows are only as good as the customer data underneath them. LaunchDarkly 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.

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.

Qualifications:

• 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 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.
  
  
  
  

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, 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.

About LaunchDarkly:

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

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at [e-mail] .