Director, B2B Data Strategy & Revenue Analytics

This is not a reporting-only role.

We need someone who can diagnose where measurement breaks, fix the root cause, and build the operating discipline to keep it working.

Success in this role looks like:

• Marketing activity is reliably tied to pipeline and revenue
• Campaign data is structured correctly from the start and remains consistent across systems
• Sellers receive the right lead and campaign context
• Marketing automation and CRM syncs are clean, documented, and auditable
• Attribution disputes are resolved with evidence, not guesswork
• Leadership trusts the numbers because the measurement foundation is strong

This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance.

Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus.

• Owning end-to-end measurement of marketing’s impact on pipeline and revenue.
• Defining and maintaining the tracking strategy across web, media, marketing automation, and CRM systems.
• Leading implementation and QA of tagging, event tracking, dataLayer requirements, UTM governance, and campaign taxonomy.
• Partnering with channel, web, marketing ops, sales ops, and data teams to make sure campaign data is captured correctly and flows cleanly into downstream systems.
• Ensuring leads, responses, and campaign touchpoints are ingested correctly into marketing automation platforms and synced accurately into CRM.
• Validating that campaigns are set up correctly so source, medium, campaign, content, and other key dimensions persist through the full funnel.
• Working with sales and ops teams to ensure marketing-sourced activity is routed to the right sellers and connected to the right pipeline and revenue outcomes.
• Building QA processes that catch breaks in tracking, ingestion, syncing, routing, and attribution before they affect reporting.
• Investigating discrepancies in attribution, conversion tracking, lead counts, pipeline, and revenue, and resolve them at the source.
• Translating business questions into tracking requirements, naming conventions, field mappings, and measurement plans.
• Partnering with analytics and engineering teams on data models, source integration, identity resolution, and reporting logic.
• Creating clear documentation for tracking requirements, campaign setup standards, field definitions, and operational workflows.
• Helping leadership understand what is measurable, what is not, and where data quality risks exist.
• Experience in B2B or demand generation measurement.
• Experience creating measurement plans that align media platforms to business outcomes that stretch across a buying committee and a full sales cycle.
• Strong experience in marketing analytics, data strategy, marketing operations, revenue operations, or a similar role.
• Deep hands-on knowledge of Google Tag Manager and modern digital measurement.
• Strong understanding of front-end tracking needs, including event design, dataLayer requirements, tag behavior, cookies, consent implications, and QA workflows.
• Experience with GA4 and related web analytics tools.
• Strong working knowledge of marketing automation platforms and CRM systems, including how records are created, enriched, synced, routed, and reported.
• Experience with systems like Salesforce, HubSpot, Marketo, Pardot, or similar platforms.
• Experience working with and managing account-based platforms like Demandbase and 6sense.
• Solid understanding of campaign taxonomy, UTMs, click IDs, lead capture, offline conversion flows, and attribution logic.
• Experience validating that campaign and source data survives handoffs across ad platforms, websites, forms, automation tools, CRM, and pipeline reporting.
• Ability to troubleshoot across technical and operational layers, from tag configuration to field mapping to seller handoff logic.
• Comfort working with engineers, analysts, marketers, and sellers without losing the thread.
• Strong QA instincts and a low tolerance for fuzzy definitions or broken handoffs.
• Ability to turn messy business processes into clear measurement frameworks and repeatable operating rules.
• Experience with offline conversion imports, lead-to-account matching, or multi-touch attribution.
• Experience working with warehouse, BI, or reverse ETL environments.
• SQL skills and comfort validating data in source systems, exports, or reporting layers.