Director, Brand Analytics, CVRM

AstraZeneca•Wilmington, DE

1d•Hybrid

About The Position

The Director, Brand Analytics, CVRM serves as a hands-on internal consultant to a priority brand team, turning complex healthcare data into insights that guide commercial decisions and support patient outcomes across US and global markets. The role develops and deploys end-to-end analytics, including pre-launch KPI frameworks, HCP targeting, patient journey analytics, ROI optimization, and test-and-learn experiments. It partners with senior leaders across Marketing, Market Access, Medical, Sales, and Forecasting to sharpen brand positioning, focus resources on high-value opportunities, and accelerate growth. The position leads executive-ready performance narratives, brand analytics, patient and HCP insights, advanced targeting, data strategy, AI adoption, analytics infrastructure, experimentation, and external best-practice scanning. It also mentors onsite and offshore team members, manages contractors and analytic resources, and oversees the annual secondary data budget. There are no direct reports, but the role leads and directs external partners and team resources to deliver critical outcomes. The role is based on an in-person working model averaging at least three days per week in the office, with flexibility around individual needs.

Requirements

At least 5 years of experience applying advanced methods and statistical procedures to large, disparate datasets.
Experience with Design of Experiments, Time Series, Regression, Applied Econometrics, and Bayesian methods.
Experience with data mining, predictive modeling, and machine-learning algorithms.
At least 2 years of recent experience and proficiency with Python, R, SQL, and big data technology in the Hadoop ecosystem, including tools such as Impala, Hive, HBase, Spark, and MapReduce.
Working knowledge of data visualization tools such as MicroStrategy, Tableau, Power BI, QlikView, D3.js, or similar.
Proficiency with Microsoft Office, including Excel and PowerPoint.
Experience manipulating and extracting insights from large longitudinal data sources, including claims, EMR, and other patient-level datasets.
Expertise managing and analyzing large secondary transactional databases.
Quantitative bachelor's degree from an accredited college or university in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science, or a related field.
At least 2 years of experience in pharmaceutical, biotech, or healthcare analytics or secondary data analysis.

Nice To Haves

Advanced degree, such as a master's, MBA, or PhD.
Strong leadership and interpersonal skills, with the ability to collaborate with business leaders and cross-functional partners.
Strong communication and influencing skills, including the ability to present concise, compelling analyses with business implications and recommended actions.
Strategic and critical thinking skills and the ability to build and maintain credibility with the Commercial Leadership Team.
Strong organizational and time-management skills, with the ability to manage diverse simultaneous projects.

Responsibilities

Synthesize commercial performance into concise executive narratives that explain growth drivers, risks, and strategic trade-offs.
Establish pre-launch KPI frameworks and lead post-launch performance reporting.
Build longitudinal patient cohorts and journey analytics to identify treatment-pathway trends, refine positioning, and inform forecasting assumptions.
Lead HCP-level segmentation and call plan optimization, applying explainable machine learning where useful.
Procure, evaluate, and integrate syndicated and emerging datasets, including claims and EMR data, to generate patient, HCP, and market insights.
Deploy AI and generative AI solutions such as automated insight generation, natural-language data querying, and predictive modeling.
Design and maintain centralized analytics repositories, such as Databricks, to streamline requests, reduce reporting inconsistencies, enable self-service, and scale automation.
Run business experiments, develop ROI frameworks, and inform budget allocation across sales and marketing channels.
Monitor analytics practices inside and outside pharma and embed continuous improvement.
Partner with Commercial, Sales Force Operations, Market Access, Medical, and Forecasting to align analytics with priority initiatives.
Mentor onsite and offshore team members, manage contractors, set priorities, allocate resources, build fluency in new tools and methods, and manage the annual secondary data budget.
Lead and direct external partners and team resources to deliver against critical timelines and outcomes.