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Director, B2B Data Strategy & Revenue Analytics

Jobgether
📍 US 📅 Posted May 12, 2026
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About this role

Accountabilities:

• Own end-to-end measurement strategy for B2B marketing impact across pipeline, attribution, and revenue reporting.

• Design and enforce data governance frameworks across tagging, tracking, UTM structures, campaign taxonomy, and CRM/marketing automation integrations.

• Lead implementation and QA of digital tracking systems, ensuring accurate event capture, dataLayer consistency, and reliable downstream data flow.

• Partner with marketing, sales operations, analytics, and engineering teams to ensure clean data synchronization across CRM, marketing automation, and advertising platforms.

• Build scalable QA processes to detect and resolve breakdowns in tracking, ingestion, attribution, and reporting before they impact business decisions.

• Investigate and resolve data discrepancies across leads, pipeline, and revenue attribution by identifying and fixing root-cause issues.

• Translate business and marketing needs into structured measurement requirements, data models, and operational standards.

• Develop documentation and governance frameworks for tracking, campaign setup, field definitions, and reporting logic.

• Enable leadership visibility into data quality, measurement limitations, and attribution confidence.

Requirements:

• Extensive experience in B2B marketing analytics, revenue analytics, marketing operations, or data strategy roles.

• Strong expertise in designing measurement frameworks that connect marketing activity to pipeline and revenue outcomes across long sales cycles.

• Deep hands-on experience with Google Tag Manager and digital tracking implementation, including event design, dataLayer structure, and QA processes.

• Strong knowledge of GA4 and modern web analytics platforms.

• Proven experience working with CRM and marketing automation platforms such as Salesforce, HubSpot, Marketo, or Pardot.

• Solid understanding of campaign taxonomy, UTMs, attribution models, lead routing, and conversion tracking across systems.

• Experience working with ABM platforms such as Demandbase or 6sense is a plus.

• Ability to troubleshoot across technical, operational, and data layers, including tagging, field mapping, and system integration issues.

• Strong collaboration skills with the ability to work across technical, marketing, sales, and analytics teams.

• SQL and data warehouse experience (or familiarity with BI/warehouse environments) is a strong plus.

• Strong analytical mindset with a high attention to detail and a low tolerance for inconsistent or unreliable data.

Benefits:

• Competitive annual salary range of $140,000–$160,000, plus performance-based bonus opportunity.

• Remote-first work environment with flexible scheduling options across most U.S. locations.

• Comprehensive health benefits including medical, dental, vision, life, and pet insurance.

• 100% paid parental leave and strong family-support programs.

• 401(k) retirement plan with company matching.

• Unlimited PTO and extended holiday break in winter.

• Home office flexibility, including “work from anywhere” options (with some restrictions).

• Annual wellness and learning perks, including ClassPass credits and professional development support.

• Inclusive, award-winning workplace culture focused on collaboration, growth, and work-life balance.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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