Director of B2B Data Strategy & Revenue Analytics, Wpromote

• 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

Desirable

• At Wpromote, we need someone who can own marketing measurement all the way from click to pipeline to revenue
• This role sits at the intersection of tracking, marketing operations, CRM, and analytics. You’ll make sure campaign data is captured correctly at the source, passed cleanly through our marketing and sales systems, and tied back to pipeline and revenue in a way the business can trust
• That means knowing how front-end tracking works, how GTM and site instrumentation should be set up, how marketing automation and CRM systems ingest and sync data, and how to QA the full handoff from campaign to seller to opportunity to closed revenue
• 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
• You Will Be
• 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