Senior Director, Marketing Operations & Analytics

Dataiku

15h

About The Position

Dataiku is seeking a Senior Director to lead Marketing Operations & Analytics globally across the Americas, EMEA, and APJ. Reporting to the CMO and leading a team of four, this role sets marketing pipeline targets with Sales, measures the activities that drive revenue, operates campaign processes, and builds AI agents and workflows for marketers. The position advises marketing leadership on investment decisions and is based in the US. The role owns marketing’s pipeline measurement and performance framework, including funnel targets tied to bookings and ARR, account-based attribution, a shared marketing scorecard, and program and event return analysis. It leads campaign operations in HubSpot and Salesforce and owns the marketing technology stack, roadmap, budget, account scoring, segmentation, routing, lifecycle standards, campaign naming, and data standards. The Senior Director will build and govern Marketing AI agents and GenAI workflows on Dataiku, from ideation through evaluation, review, and monitoring. The role drives adoption and measures productivity gains, using automation and AI to increase team output without increasing headcount. It also provides data for planning and budget decisions, runs quarterly investment experiments, makes performance data self-service, and oversees marketing data quality, privacy and consent compliance (including GDPR), and responsible AI use.

Requirements

10+ years of experience in marketing operations, analytics, or revenue operations at an enterprise B2B software company.
4+ years of experience leading teams.
Experience shipping an attribution model that Sales trusted and used.
Experience building account-based measurement with Sales, including target account engagement and buying-group progression.
Hands-on experience with attribution and with AI agents or GenAI workflows in production, along with the ability to lead through a team while remaining close enough to the work to unblock it.
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 decisions and bring a business-leader perspective.
Ability to align with Sales on pipeline as a shared number and agree on definitions before building dashboards.
Ability to influence senior stakeholders with data, challenge unsupported plans, and defend supported ones.
Credibility with engineers and regional marketers.
Understanding of governance as an enabler of safe, fast-moving teams.

Nice To Haves

Dataiku experience.

Responsibilities

Set marketing pipeline targets by region, segment, and channel with Sales, and measure progress against them.
Build a funnel model linking bookings and ARR targets to pipeline, engagement, and coverage targets, in agreement with Sales.
Launch an account-based attribution model and establish it as the model Sales uses in pipeline reviews.
Own a marketing performance scorecard that provides a shared source of truth with Sales across brand awareness, account engagement, and pipeline.
Measure the return on marketing programs and events to guide funding decisions.
Lead global and regional campaign operations in HubSpot and Salesforce, establishing intake, quality, and turnaround standards.
Own and simplify the marketing technology stack, roadmap, and budget.
Build account scoring, segmentation, and routing aligned with Sales account coverage.
Set lifecycle, campaign naming, and data standards that support trustworthy reporting.
Build and govern Marketing AI agents and GenAI workflows on Dataiku from initial idea through evaluation, review, and monitoring.
Drive marketer adoption of AI tools in weekly work and report productivity gains.
Use automation and agents to increase team output without increasing team size.
Provide spend and performance data for marketing planning and budget decisions.
Run experiments and recommend quarterly budget changes by channel, region, and program.
Make performance data self-service so marketers can answer their own questions.
Own marketing data quality, privacy and consent compliance, including GDPR, and responsible AI use.
Advise marketing leadership on investment priorities using data and a clear point of view.
Lead a team of four across the Americas, EMEA, and APJ.