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

Advocate Health and Hospitals Corporation•Charlotte, NC

2d•Remote

About The Position

Advocate Health is 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 toward diagnostic, predictive and prescriptive decision support. The role sets enterprise strategy, builds an integrated measurement ecosystem and leads a multidisciplinary team that helps senior leaders understand what is changing, why it is changing, what it means and what actions to take. The role embeds analytics at the front end of marketing and business planning, demonstrates incremental impact, forecasts outcomes and optimizes investment through rigorous measurement, experimentation and modern decision science. It leads capabilities across decision analytics, business intelligence, marketing measurement, decision science, data science and marketing data products, working in partnership with Finance and Enterprise Data and Technology. The position is remote, with a Monday–Friday schedule of 8 a.m.–5 p.m., and is listed as full time with 40 hours per week.

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.
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.
Track record of building, transforming and developing high-performing analytics teams.

Nice To Haves

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.
Relevant analytics, data science, cloud platform or digital marketing certifications.

Responsibilities

Define and execute the enterprise marketing analytics and decision science strategy, advancing from descriptive reporting to diagnostic, predictive and prescriptive decision support.
Partner with marketing and business leaders at the start of planning to frame business questions and hypotheses, develop measurement plans, and provide actionable recommendations.
Build an integrated measurement framework covering 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 in partnership with Enterprise Data and Technology, leveraging Snowflake as the enterprise data foundation.
Modernize business intelligence and executive reporting using 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.
Foster 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; and turn analytical complexity into executive-ready stories and clear decisions.
Perform other job-related duties requested by leaders and follow other job-related instructions.

Benefits

Paid time off programs.
Medical, dental, vision, life, short-term disability and long-term disability benefits.
Flexible Spending Accounts for eligible health care and dependent care expenses.
Adoption assistance and paid parental leave.
Defined contribution retirement plans with employer match and other financial wellness programs.
Educational Assistance Program.
Programs that invest in career development.
Premium pay such as shift and on-call pay, based on teammate role.
Incentive pay for select positions.
Opportunity for annual increases based on performance.