Director, Brand Analytics, CVRM

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, 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. 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 using cutting-edge analytics, AI, and real-world data to make a concrete difference across the patient journey. We move with pace and purpose, pairing autonomy with strong support, so you can start small, learn fast, and scale what works. By putting diverse thinkers in the same room, we spark bold ideas that turn into practical solutions for patients and the healthcare ecosystem. We value kindness alongside ambition, and we celebrate experimentation as a path to impact because your insight today can shape health outcomes for years to come. Date Posted 10-Nov-2026 Closing Date 23-Nov-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form. #J-18808-Ljbffr AstraZeneca plc