[Hiring] Head of Marketing Analytics & Decision Science @Advocate Health

Role Description

At Advocate Health, we are committed to helping people live well by delivering exceptional care with compassion, innovation, and expertise. We are seeking an enterprise analytics leader to shape how marketing decisions are made, measured, and optimized across a large, complex organization.

This is a transformational leadership opportunity to move marketing analytics beyond reporting and toward diagnostic, predictive, and prescriptive decision support. You will set the enterprise strategy, build an integrated measurement ecosystem, and lead a multidisciplinary team that helps senior leaders understand not only what is changing, but why it is changing, what it means, and what action to take next.

The mandate:

• Embed analytics at the front end of marketing and business planning.
• Prove incremental impact, forecast future outcomes, and optimize investment using rigorous measurement, experimentation, and modern decision science.

What You'll Do:

• Define and execute the enterprise marketing analytics and decision science strategy, advancing the organization from descriptive reporting to diagnostic, predictive, and prescriptive decision support.
• Serve as a strategic thought partner at the front end of marketing and business planning by framing business questions, hypotheses, measurement plans, and actionable recommendations.
• Build an integrated measurement framework spanning marketing mix modeling (MMM), attribution, incrementality, campaign and channel effectiveness, partnerships and sponsorships, in-market testing, and marketing ROI.
• Establish a rigorous 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 in partnership with Enterprise Data and Technology, leveraging Snowflake as the enterprise data foundation.
• Modernize business intelligence and executive reporting through Power BI and Salesforce Marketing Cloud Intelligence/Datorama, emphasizing decisions and recommendations rather than dashboard production.
• Partner with Finance to establish credible methods for connecting 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.

Qualifications

• 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, including 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; Power BI is strongly preferred.
• 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.
• A track record of building, transforming, and developing high-performing analytics teams.

Requirements

• Preferred: MBA, master's degree, or another advanced degree in Analytics, Data Science, Statistics, Economics, Business, or a related field.
• Experience building or transforming a mature marketing analytics and decision science function in a data-rich consumer organization.
• Experience leading marketing data science, analytics engineering, or data-product capabilities with enterprise Data and Technology teams.
• Experience integrating marketing, digital, consumer, and clinical or operational data for measurement and growth use cases.
• Experience applying AI/ML and emerging analytics approaches to meaningful marketing or consumer decisions.
• Healthcare experience and relevant analytics, data science, cloud platform, or digital marketing certifications are beneficial but not required.

Benefits

• Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training.
• Premium pay such as shift, on call, and more based on a teammate's job.
• Incentive pay for select positions.
• Opportunity for annual increases based on performance.
• Paid Time Off programs.
• Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability.
• Flexible Spending Accounts for eligible health care and dependent care expenses.
• Family benefits such as adoption assistance and paid parental leave.
• Defined contribution retirement plans with employer match and other financial wellness programs.
• Educational Assistance Program.