Senior Marketing Data Manager

LaunchDarkly

About The Position

We’re seeking a senior Marketing Operations leader to own and scale the foundation of our marketing data strategy. This role is responsible for architecting, governing, and operationalizing the systems and data infrastructure that power segmentation, targeting, activation, attribution, and revenue measurement across Marketing and the broader GTM organization. As the functional owner of Marketing data management, you will establish and evolve the frameworks that ensure our data is unified, trusted, compliant, and actionable. Beyond infrastructure, this role is also accountable for translating data into meaningful analytical insights and clear business recommendations that shape Marketing strategy, investment decisions, and performance optimization. This is a highly strategic role requiring broad expertise and hands-on execution. You will work on significant and often ambiguous data challenges that impact the entire marketing function. In collaboration with Marketing, you will define standards, influence architecture decisions, and deliver insight-driven recommendations that improve marketing effectiveness and revenue outcomes.

Requirements

Typically requires 12+ years of experience, or equivalent depth of expertise in Marketing data management or related GTM operational roles.
Deep expertise in CRM, marketing automation, CDP ecosystems, identity resolution, segmentation strategy, and attribution modeling.
Strong understanding of B2B marketing data architecture, governance, analytics, and GTM operations.
Demonstrated experience leading complex, cross-functional initiatives that impact an entire function or organization.
Advanced analytical skills with the ability to evaluate ambiguous problems, synthesize disparate data sources, and provide clear direction.
Proven ability to generate analytical insights and translate findings into strategic business recommendations that influence senior stakeholders.
Ability to act independently, define new methods and procedures, and operate effectively in high-impact, high-ambiguity environments.
Excellent executive communication and stakeholder management skills.
High level of ownership, accountability, and sound judgment consistent with scope of role.

Responsibilities

Own Marketing Data Strategy, Architecture & CDP Ecosystem: Define and lead the end-to-end marketing data framework across collection, integration, unification, governance, activation, and measurement. Architect, implement, and optimize a scalable Customer Data Platform (CDP) ecosystem — including defining use cases, selecting technology, designing ingestion pipelines (batch and real-time), establishing identity resolution logic, and integrating with CRM, marketing automation, product analytics, data warehouse, and enrichment systems. As part of this ecosystem, synthesize internal behavioral and product signals with external intent, firmographic, and technographic data at both the person and account level to create unified, activation-ready profiles. Leverage advanced identity technologies and methodologies to match and stitch anonymous behavioral data with known person and account records, enabling a true single customer view.
Ensure Data Integrity, Governance & Compliance: Establish lifecycle definitions, taxonomy standards, validation rules, identity frameworks, and consent management processes. Proactively identify systemic data risks and drive cross-functional remediation to ensure accuracy, trust, and regulatory compliance (GDPR/CCPA).
Build a Unified Account & Buying Group Model: Design and maintain a trusted single view of the account and buying committee, including lead-to-account matching, account hierarchies, enrichment strategy, segmentation frameworks, and ICP modeling to support ABM and lifecycle programs.
Lead Measurement & Attribution Strategy: Define and evolve multi-touch attribution models, funnel measurement standards, and closed-loop revenue reporting to ensure marketing impact is accurately measured and communicated to all teams, including senior leadership.
Generate Strategic Insights & Business Recommendations: Translate unified marketing and GTM data into actionable analytical insights. Deliver clear, data-driven business recommendations that influence targeting strategy, budget allocation, funnel optimization, and revenue growth decisions.
Drive Cross-Functional Impact & Continuous Improvement: Partner across Marketing, RevOps, Sales, Finance, and Data teams to align systems and processes, improve scalability, evaluate emerging technologies, and elevate data-driven decision making across the GTM organization.