Director of Worldwide Marketing Data Strategy – Analytics

Autodesk

. Lead the end-to-end strategy, execution, and adoption of marketing analytics, measurement frameworks, and intelligence capabilities for Enterprise Marketing .

Posted 10/5/2026full-timeRemote • United States, CanadaLead💰 $153,000 - $273,460 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading marketing analytics strategies, developing measurement frameworks, and optimizing marketing effectiveness through data-driven insights. Proficient in managing global teams and translating complex analytical findings into actionable business recommendations.

Highest-signal resume keywords

B2B Marketing ExpertiseMarketing Measurement StrategiesPredictive AnalyticsData GovernanceExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Attribution MethodologiesIncrementality ApproachesMarketing Mix ModelingFunnel MeasurementData ModelsCustomer IdentityCampaign TaxonomiesAI/ML CapabilitiesBusiness IntelligenceMeasurement Frameworks

Soft Skills

LeadershipInfluencing StakeholdersStorytellingStrategic PrioritizationCross-Functional Collaboration

Tools & Technologies

Cloud Data PlatformsMarketing TechnologyData EngineeringData Science

Industry Keywords

Go-to-Market StrategyCustomer AnalyticsMarketing EffectivenessBusiness Performance AnalysisData Governance

Tech Stack

Tools & technologies

CloudGo

About the role

Key responsibilities & impact

Lead the end-to-end strategy, execution, and adoption of marketing analytics, measurement frameworks, and intelligence capabilities for Enterprise Marketing
Recruit, develop, and lead a global team of data strategists and analysts
Monitor and analyze business performance to identify trends, risks, opportunities, and actionable levers for Marketing
Establish measurement principles, KPIs, conversion definitions, attribution methodologies and windows, incrementality approaches, and other marketing effectiveness frameworks
Integrate attribution, incrementality, experimentation, marketing mix modeling, and predictive analytics to optimize investment across audiences, channels, campaigns, and programs
Define requirements for marketing data models, taxonomies, event structures, identity resolution, campaign hierarchies, and governance
Partner with Data Engineering, Data Science, Enterprise AI/ML, Marketing Technology, and Marketing to build governed AI-powered analytics and decisioning capabilities
Translate complex analytical findings into business implications, recommendations, and executive decision support
Report to the Senior Director of Worldwide Marketing Business Insights & Analytics
Partner with Marketing and Go-to-Market leadership and analytics and technology teams across Sales, Data Science, Data Engineering, and Marketing Technology

Requirements

What you’ll need

10+ years of professional experience with significant domain expertise in B2B marketing, sales, go-to-market, or customer analytics
5+ years of people leadership experience managing and developing technical and analytical talent, preferably across global or distributed teams
Experience developing and operationalizing marketing measurement strategies, including attribution, incrementality, experimentation, marketing mix modeling, funnel measurement, and marketing effectiveness
Strong understanding of modern marketing and customer data foundations, including data models, customer and contact identity, campaign and event taxonomies, cloud data platforms, and business intelligence environments
Experience applying predictive analytics, data science, and AI/ML-enabled capabilities to business and marketing problems
Understanding of data, governance, and measurement foundations required to support AI-powered analytics and decisioning
Ability to translate ambiguous business questions into analytical frameworks, measurement approaches, data requirements, and actionable recommendations
Ability to communicate with and influence senior non-technical stakeholders and partner with Data Engineering, Data Science, AI/ML, Marketing Technology, and other technical teams
Experience partnering across Marketing, Sales, Sales Operations, Customer Success, and other Go-to-Market functions
Strong executive communication and storytelling skills
Ability to lead multiple strategic priorities in a fast-paced, highly cross-functional environment
BA/BS in Marketing, Business, Economics, Statistics, Data Science, or another quantitative or relevant field

Benefits

Comp & perks

Annual cash bonuses
Stock grants
Comprehensive benefits package
Health and financial benefits
Time away
Everyday wellness
In-person onboarding and/or in-person ID verification may be required