Senior Director of Marketing Operations and Analytics
Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.
About Dataiku
Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead marketing operations and analytics across the Americas, EMEA, and APJ. You will set pipeline targets with Sales, measure revenue performance, manage campaign operations and the marketing technology stack, and develop AI agents and GenAI workflows. You will guide marketing investment decisions, establish reliable data standards, and oversee data quality, privacy, consent compliance, and responsible AI use.
Requirements
- 10+ years of marketing operations, analytics, or revenue operations experience at an enterprise B2B software company.
- 4+ years of team leadership experience.
- 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 production AI agents or GenAI workflows.
- Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools.
- Experience working across regions with varying data and process maturity.
Responsibilities
- Build funnel models from bookings and ARR targets to pipeline, engagement, and coverage targets with Sales.
- Launch and manage an account-based attribution model for Sales pipeline reviews.
- Own the marketing performance scorecard shared with Sales.
- Measure program and event return on investment.
- Lead campaign operations in HubSpot and Salesforce.
- Own and simplify 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 adoption of AI tools and report productivity gains.
- Use automation and agents to increase team output.
- Provide spend and performance data for planning and budget decisions.
- Run experiments and recommend quarterly budget allocation changes.
- Make performance data self-service for marketers.
- Own marketing data quality, privacy and consent compliance, GDPR compliance, and responsible AI use.