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Advocate Aurora Health

AVP, Head of Marketing Analytics – Decision Science

Advocate Aurora Health

. Define and execute the enterprise marketing analytics and decision science strategy .

Posted 10/16/2026full-timeRemote • United StatesLead💰 $100 - $160 per hourWebsite

Core Competencies

Role fit
Core Competencies

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

Expertise in marketing analytics and decision science, with a strong focus on predictive analytics, marketing mix modeling, and data-driven decision-making. Proven ability to lead high-performing teams and translate complex data insights into actionable business strategies.

Highest-signal resume keywords
Marketing AnalyticsDecision SciencePredictive AnalyticsMarketing Mix ModelingData Science Methodologies

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical ModelingForecastingOptimizationAttributionIncrementalityExperimental DesignA/B TestingData EngineeringAnalytics EngineeringCloud Data Platforms
Soft Skills
Executive PresenceIntellectual CuriosityCross-Functional InfluenceProactive Problem SolvingStorytelling
Tools & Technologies
SnowflakePower BISalesforce Marketing Cloud IntelligenceDatorama
Certifications & Qualifications
Advanced Degree in Related FieldHealthcare Analytics CertificationData Science CertificationDigital Marketing Certification
Industry Keywords
Marketing Effectiveness MeasurementBusiness IntelligenceMeasurement FrameworkTest-and-Learn StrategyMarketing ROI

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Define and execute the enterprise marketing analytics and decision science strategy
  • Advance the organization from descriptive reporting to diagnostic, predictive and prescriptive decision support
  • Serve as a strategic thought partner in marketing and business planning
  • Frame business questions, hypotheses, measurement plans and actionable recommendations
  • Build an integrated measurement framework spanning marketing mix modeling, attribution, incrementality, campaign and channel effectiveness, partnerships and sponsorships, in-market testing and marketing ROI
  • Establish a test-and-learn strategy using experimental design, matched-market or geographic testing, holdouts, A/B testing and other causal measurement methods
  • Build forecasting and decision science capabilities for scenario planning, demand forecasting, investment optimization, predictive analytics and appropriate AI/ML applications
  • Lead data science, analytics engineering and marketing data-product capabilities with Enterprise Data and Technology, leveraging Snowflake
  • Modernize business intelligence and executive reporting through Power BI and Salesforce Marketing Cloud Intelligence/Datorama
  • Partner with Finance to connect marketing activity to consumer, patient, growth and financial outcomes
  • Build and lead a high-performing team across decision analytics, business intelligence, marketing measurement, decision science, data science and marketing data products
  • Create a culture of curiosity, proactive problem solving and executive-ready storytelling
  • Frame the right questions before analysis begins
  • Balance technical rigor with speed, practicality and sound business judgment
  • Build credibility across Marketing, Finance, Data and Technology
  • Develop scalable talent and operating models
  • Turn analytical complexity into an executive-ready story and clear decision

Requirements

What you’ll need
  • Bachelor's degree in Analytics, Data Science, Statistics, Economics, Marketing, Business or a related field
  • 10+ years of progressive experience in marketing analytics, decision science, measurement, data science or a related function
  • 5+ years of leadership responsibility in a large, complex organization
  • Deep expertise in marketing mix modeling, attribution, incrementality, experimentation, in-market testing and marketing effectiveness measurement
  • Strong knowledge of statistical modeling, forecasting, predictive analytics, optimization and data science methodologies
  • Demonstrated ability to connect marketing investment to incremental business and financial outcomes and establish credible approaches to marketing ROI
  • Strong understanding of modern marketing data architecture, data engineering, analytics engineering, data modeling and cloud data platforms
  • Experience with Snowflake or a comparable cloud data platform and business intelligence tools
  • Experience with Salesforce Marketing Cloud Intelligence/Datorama or a comparable marketing intelligence platform
  • Exceptional ability to translate complex analysis into clear executive-level implications, choices and recommendations
  • Strong business and financial acumen, intellectual curiosity, executive presence and cross-functional influence
  • Track record of building, transforming and developing high-performing analytics teams
  • Preferred: MBA, master's degree or another advanced degree in a related field
  • Healthcare experience and relevant analytics, data science, cloud platform or digital marketing certifications are beneficial but not required

Benefits

Comp & perks
  • Comprehensive Total Rewards suite
  • Competitive compensation
  • Generous retirement offerings
  • Career development programs
  • Paid Time Off programs
  • Medical, dental, vision, life, and Short- and Long-Term Disability benefits
  • Flexible Spending Accounts for eligible health care and dependent care expenses
  • Adoption assistance
  • Paid parental leave
  • Defined contribution retirement plans with employer match
  • Financial wellness programs
  • Educational Assistance Program
  • Opportunity for annual performance-based increases
  • Incentive pay for select positions
  • Premium pay such as shift and on-call pay for eligible roles