DataikuSenior Director, Marketing Operations & Analytics
Dataiku is hiring a Senior Director, Marketing Operations & Analytics for a remote role open to applicants in United States. Level rates it ; you can apply on Dataiku.
Level's read on this job
- Level rates this marketing role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Gong, Clay and HubSpot.
- Level lists 15 other open roles at Dataiku.
- The role was posted in the last few days.
AI in this role
Lead global marketing operations and analytics while building and governing internal AI marketing agents.
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.How we rate this
Senior Director, Marketing Operations & Analytics at Dataiku rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical marketing job
- $147k
This posting doesn't list pay. Use the typical marketing figure when pay comes up. See marketing jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where marketing operations was part of your work. What did you do?
- Tell me about a project where pipeline management was part of your work. What did you do?
- Tell me about a project where marketing analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Safety, Marketing Operations, Pipeline Management, and Marketing Analytics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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