AVP, Head of Marketing Analytics & Decision Science (Remote)

Responsibilities

• 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.

Requirements

• 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

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