Director, Brand Analytics, CVRM

Are you ready to turn complex healthcare data into decisive actions that elevate CVRM brands and improve patient outcomes? Do you thrive at the intersection of advanced analytics, AI, and commercial decision-making? This role connects scientific insight to commercial impact—shaping strategy, guiding investments, and accelerating growth across the US and global markets. As Director, Brand Analytics, you will serve as a hands-on internal consultant to a priority brand team, building modern analytic capabilities and translating insights into clear, high-impact decisions. You will develop and deploy end-to-end analytics—from pre-launch KPI frameworks and HCP targeting to patient journey analytics, ROI optimization, and test-and-learn experiments—partnering closely with senior leaders across Marketing, Market Access, Medical, Sales, and Forecasting. Your work will sharpen brand positioning, focus resources on the highest-value opportunities, and ultimately improve outcomes for patients and the business. Accountabilities: • Executive Insight Leadership: Synthesize commercial performance into concise, executive-ready narratives that illuminate growth drivers, risk areas, and strategic trade-offs; shape decisions with clarity and conviction. • Brand Performance Analytics: Establish pre-launch KPI frameworks and lead post-launch performance reporting to drive agility in brand execution and market response. • Patient and HCP Insight Generation: Build longitudinal patient cohorts and journey analytics to uncover treatment-pathway trends, refine positioning, and inform robust forecasting assumptions. • Advanced Targeting and Machine Learning: Lead HCP-level segmentation and call plan optimization, applying machine learning where it adds practical value and explainability. • Data Strategy and Partnerships: Procure, evaluate, and integrate syndicated and emerging datasets (e.g., IQVIA, Optum, IntegriChain; claims; EMR) to power patient, HCP, and market insights. • AI and Generative AI Adoption: Deploy solutions such as automated insight generation, natural-language data querying, and predictive modeling to accelerate analysis and decision quality. • Infrastructure and Automation: Design and maintain centralized repositories (e.g., Databricks) to streamline analytic requests, reduce reporting inconsistencies, enable self-service, and scale automation. • Experimentation and ROI Optimization: Run smart business experiments, develop robust ROI frameworks, and inform optimal budget allocation across sales and marketing channels. • External Scanning and Best Practice: Monitor leading analytic practices within and beyond pharma to sustain competitive advantage and embed continuous improvement. • Cross-Functional Leadership: Partner with Commercial, Sales Force Operations, Market Access, Medical, and Forecasting to align analytics to priority initiatives and ensure end-to-end impact. • Team Enablement and Resource Management: Mentor onsite/offshore team members and manage contractors; set priorities, allocate resources, and build fluency in new tools and methods while managing the annual secondary data budget. • Reporting Structure: This role has no direct reports but leads and directs external partners and team resources to deliver against critical timelines and outcomes. Essential Skills/Experience: • 5+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically: • Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods. • Data Mining, Predictive Modelling & Machine Learning algorithms. • 2+ years of recent experience and proficiency with Python, R, SQL and big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, MapReduce etc.,). • Working knowledge of data visualization – MicroStrategy, Tableau, PowerBI, Qlikview, D3js or similar tools. • Experience in MS Office products - Excel and PowerPoint skills required. • Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets. • Expertise in managing and analyzing a range of large, secondary transactional databases is required. • Quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master’s, MBA or PhD). • 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis. Desirable Skills/Experience: • Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. • Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered. • Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. • Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Why AstraZeneca: Here you will bring science and business together to guide the trajectory of our pipeline and brands