Director, Marketing Analytics - US Oncology

About the Role

Key Responsibilities

• Co-create the marketing analytics vision and roadmap for US Oncology and operationalize prioritized marketing analytics capabilities, including promotional mix, ROI, and other analyses.
• Collaborate with omnichannel and brand marketing teams in defining campaign measurement criteria, assessing data requirements, and measurement feasibility.
• Drive performance tracking for standard KPIs (e.g., impressions, clicks, open rates, NPS at the campaign level) to provide a tactical view of executional performance.
• Develop and operationalize ROI/attribution methodologies across marketing channels (e.g., Promo Mix modeling, A/B testing, Customer Lifetime Value) to optimize investment strategies.
• Analyze omnichannel campaign and program data to identify areas of improvement, delivering actionable insights to enhance the HCP experience and optimize channel performance (e.g., customer journey analytics such as prescriber behaviors and channel interactions).
• Partner with GCS to internalize and scale marketing analytics capabilities, optimize vendor strategies, and mentor junior analytics team members.
• Collaborate with Data Science and Artificial Intelligence (DSAI) teams to automate programs (e.g., recommender models, promotional mix modeling).
• Scope, prioritize, manage, and negotiate projects across the AZ oncology portfolio, often independently leading highly complex projects while providing technical mentorship and business translation support.

Requirements

• Bachelor's degree, with a preference for a quantitative field.
• 8 years of experience working within the life sciences industry or at a consulting firm serving the life sciences industry.
• 5 years of analytics, statistics, or data science experience leading marketing analytics workstreams.
• Deep marketing analytics experience, including omnichannel and campaign analytics, preferably outside of pharma.
• Specialized, advanced technical skills (e.g., coding proficiency in Python for marketing analytics use cases).
• Leadership experience managing cross-functional teams and overseeing project execution.
• Strong business acumen, including understanding of marketing data KPIs and investment optimization strategies.
• Strong storytelling skills with the ability to translate complex technical analyses into clear, actionable business insights.

Nice to Have

• Advanced quantitative or marketing analytics degree preferred.
• 10 years of experience working within the pharmaceutical industry, with a preference for large, matrixed organizations.
• Expertise in at least one statistical/data analysis language (Python).
• Experience working in Oncology.
• Experience with attribution modeling, customer journey analytics, and recommender systems.
• Project/program management expertise with success leading complex initiatives across commercial and technical teams.

Qualifications

• Educational background in a quantitative field (preferred).
• Experience in the life sciences or pharmaceutical industry, ideally 8+ years.
• Experience in analytics, statistics, or data science, with at least 5 years leading workstreams.

Benefits & Perks

• Annual base pay ranging from $181,503 to $272,255, with overtime pay for qualifying hours.
• Short-term incentive bonus opportunity.
• Eligibility to participate in equity-based long-term incentive programs (salaried roles).
• Retirement contributions (hourly roles).
• Potential for commission payments (sales roles).
• Benefits including a qualified retirement plan [401(k)]; paid vacation and holidays; paid leaves; health benefits including medical, prescription drug, dental, and vision coverage.