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Senior Director, Marketing Operations, Analytics

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

⚙️ Marketing Operations

Where this job comes from

Posted on Dataiku's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Dataiku

Dataiku

1001 - 5000 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 $400M Series E on 2021-08

Consulting • Logistics • Healthcare

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

📋 Description

• Lead the team setting marketing pipeline targets with Sales • Measure what drives revenue and advise marketing leadership on investment • Build funnel models from bookings and ARR targets to pipeline, engagement, and coverage targets • Launch and own an account-based attribution model used by Sales in pipeline reviews • Own the marketing performance scorecard from brand awareness through account engagement to pipeline • Measure return on marketing programs and events • Lead campaign operations in HubSpot and Salesforce • Own the marketing technology stack, roadmap, and budget • Build account scoring, segmentation, and routing aligned with Sales coverage • Set lifecycle, campaign naming, and data standards • Build and govern Marketing AI agents and GenAI workflows on Dataiku • Drive marketer adoption and report productivity gains • Use automation and agents to grow team output without increasing team size • Provide spend and performance data for planning and budget decisions • Run experiments and recommend quarterly budget allocation • Make performance data self-service • Own data quality, privacy and consent compliance, and responsible AI use across marketing

🎯 Requirements

• 10+ years in marketing operations, analytics, or revenue operations at an enterprise B2B software company • 4+ years leading teams • An attribution model shipped that Sales trusted and used • Account-based measurement built with Sales, including target account engagement and buying-group progression • Hands-on experience with attribution and AI agents or GenAI workflows in production • Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools • Experience working across regions with different levels of data and process maturity • Ability to use data to shape strategy and investment • Ability to influence senior stakeholders with data • Credibility with engineers and regional marketers • Knowledge of governance, privacy, consent compliance including GDPR, and responsible AI use

🏖️ Benefits

• Personal growth opportunities • Equal opportunity employment practices • Reasonable accommodation support

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