AVP, Head of Marketing Analytics – Decision Science

This is a fully remote position, open to applicants in Alabama, +32 more states.

📋 Description

• Define and implement the enterprise marketing analytics and decision science strategy.

• Transition the organization from descriptive reporting to diagnostic, predictive, and prescriptive decision support.

• Act as a strategic thought partner in marketing and business planning initiatives.

• Formulate business questions, hypotheses, measurement plans, and actionable recommendations.

• Develop a comprehensive measurement framework that includes marketing mix modeling, attribution, incrementality, campaign and channel effectiveness, partnerships and sponsorships, in-market testing, and marketing ROI.

• Create a test-and-learn strategy utilizing experimental design, matched-market or geographic testing, holdouts, A/B testing, and other causal measurement techniques.

• Establish forecasting and decision science capabilities for scenario planning, demand forecasting, investment optimization, predictive analytics, and suitable AI/ML applications.

• Direct data science, analytics engineering, and marketing data-product capabilities in collaboration with Enterprise Data and Technology, utilizing Snowflake.

• Enhance business intelligence and executive reporting through Power BI and Salesforce Marketing Cloud Intelligence/Datorama.

• Collaborate with Finance to link marketing activities to consumer, patient, growth, and financial outcomes.

• Build and lead a high-performing team in decision analytics, business intelligence, marketing measurement, decision science, data science, and marketing data products.

• Foster a culture of curiosity, proactive problem-solving, and executive-ready storytelling.

• Pose the right questions prior to commencing analysis.

• Balance technical rigor with speed, practicality, and sound business judgment.

• Establish credibility across Marketing, Finance, Data, and Technology domains.

• Develop scalable talent and operational models.

• Transform analytical complexity into an executive-ready narrative and clear decision-making framework.

⛳️ Requirements

• Bachelor's degree in Analytics, Data Science, Statistics, Economics, Marketing, Business or a related discipline.

• Over 10 years of progressive experience in marketing analytics, decision science, measurement, data science, or a related field.

• More than 5 years of leadership experience in a large, complex organization.

• In-depth 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.

• Proven ability to connect marketing investment to incremental business and financial outcomes and establish credible marketing ROI approaches.

• Solid 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.

• Familiarity with Salesforce Marketing Cloud Intelligence/Datorama or a comparable marketing intelligence platform.

• Exceptional capability to convert complex analyses into clear executive-level implications, choices, and recommendations.

• Strong business and financial acumen, intellectual curiosity, executive presence, and cross-functional influence.

• Proven 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 advantageous but not mandatory.

🏝️ Benefits

• 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.