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Senior Director, Marketing Operations & Analytics

Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
Remote — work setting source
Listed location: United States, Remote
Read the full posting
Employment
Not stated

What you’ll work on

Full posting

You will lead the team that sets marketing's pipeline targets with Sales, measures what drives revenue, runs campaign operations, and builds the AI agents our marketers use every day.

Build an AI-run marketing team on Dataiku.

  • Build the funnel model working back from bookings and ARR targets to pipeline targets

  • Launch an account-based attribution model that Sales uses in pipeline reviews

  • Lead campaign operations in HubSpot and Salesforce with intake and quality standards

  • Build and govern marketing AI agents and GenAI workflows on Dataiku

  • Measure return on every program and event and recommend budget moves each quarter

From the employer’s posting
You will lead the team that sets marketing's pipeline targets with Sales, measures what drives revenue, runs campaign operations, and builds the AI agents our marketers use every day. You will bring a point of view to the marketing leadership team on where we invest.
Build an AI-run marketing team on Dataiku. You will design and govern the agents our marketers rely on, and your work becomes a story we tell customers.
Build the funnel model that works back from bookings and ARR targets to pipeline, engagement, and coverage targets, agreed with Sales.
Launch a new account-based attribution model and make it the one Sales uses in pipeline reviews.
Lead campaign operations in HubSpot and Salesforce, with clear intake, quality, and turnaround standards for global and regional teams.
Build and govern Marketing's AI agents and GenAI workflows on Dataiku, from first idea through evaluation, review, and monitoring.
Measure the return on every program and event, so we fund what works and cut what doesn't.

What you’ll bring

All qualifications

Core experience

  • 10+ years in marketing operations, analytics, or revenue operations at an enterprise B2B software company, including 4+ years leading teams.
  • Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools.
  • Experience working across regions with different levels of data and process maturity.
Qualification wording
10+ years in marketing operations, analytics, or revenue operations at an enterprise B2B software company, including 4+ years leading teams.
Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools. Dataiku experience is a plus.
Experience working across regions with different levels of data and process maturity.
Apply at Dataiku

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 54.

At Dataiku, jobs usually come down by about day 37.

From 8,003 similar postings that came down, and 12 of Dataiku’s. Coming down is not always a hire.

Dataiku is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
Hiring record

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Where the posting names them
- A hands-on background (attribution, and AI agents or GenAI workflows in production) and the experience to now lead through a team, staying close enough to the work to unblock it. - Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools. Dataiku experience is a plus. - Experience working across regions with different levels of data and process maturity.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,208, and the latest week had 846.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

About the role

Sr. Director | Reports to the CMO | Leads a team of 4 | Global scope across the Americas, EMEA, and APJ | Location: US

You will lead the team that sets marketing's pipeline targets with Sales, measures what drives revenue, runs campaign operations, and builds the AI agents our marketers use every day. You will bring a point of view to the marketing leadership team on where we invest.

Why this role

  • Own the pipeline number with Sales. You will set marketing's pipeline targets by region, segment, and channel, and measure progress against them.
  • Build an AI-run marketing team on Dataiku. You will design and govern the agents our marketers rely on, and your work becomes a story we tell customers.
  • Shape where the money goes. Your analysis guides marketing investment decisions and reaches the CMO and the board.
  • High leverage, global reach. A team of four covering three regions, with a mandate to grow capacity through automation and AI rather than headcount.

What you will do

Set and measure the number

  • Build the funnel model that works back from bookings and ARR targets to pipeline, engagement, and coverage targets, agreed with Sales.
  • Launch a new account-based attribution model and make it the one Sales uses in pipeline reviews.
  • Own the marketing performance scorecard: one source of truth, shared with Sales, from brand awareness through account engagement to pipeline.
  • Measure the return on every program and event, so we fund what works and cut what doesn't.

Run the marketing engine

  • Lead campaign operations in HubSpot and Salesforce, with clear intake, quality, and turnaround standards for global and regional teams.
  • Own the marketing technology stack, roadmap, and budget, and simplify it.
  • Build account scoring, segmentation, and routing that match how Sales covers accounts.
  • Set the lifecycle, campaign naming, and data standards that make reporting trustworthy.

Build the AI layer

  • Build and govern Marketing's AI agents and GenAI workflows on Dataiku, from first idea through evaluation, review, and monitoring.
  • Get every marketer using these tools in their weekly work, and report the productivity gains.
  • Use automation and agents to grow the team's output without growing its size.

Guide investment

  • Provide the spend and performance data behind marketing's planning and budget decisions.
  • Run experiments and recommend where to move budget each quarter, by channel, region, and program.
  • Make performance data self-service, so marketers can answer their own questions.
  • Own data quality, privacy and consent compliance (including GDPR), and responsible AI use across marketing.

What you bring

  • 10+ years in marketing operations, analytics, or revenue operations at an enterprise B2B software company, including 4+ years leading teams.
  • An attribution model you shipped that Sales trusted and used.
  • Account-based measurement built with Sales, including target account engagement and buying-group progression.
  • A hands-on background (attribution, and AI agents or GenAI workflows in production) and the experience to now lead through a team, staying close enough to the work to unblock it.
  • Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools. Dataiku experience is a plus.
  • Experience working across regions with different levels of data and process maturity.

How you work

  • You think like a business leader. You use data to shape strategy and investment, and you bring a point of view.
  • You treat pipeline as a number shared with Sales, and you agree on definitions before you build dashboards.
  • You influence senior stakeholders with data. You challenge plans the numbers don't support and defend the ones they do.
  • You are credible with engineers and with regional marketers.
  • You see governance as what lets a team move fast safely.

#LI-CM

 
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
 
 
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
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