US Brand Analytics Director

Are you ready to harness complex healthcare data to guide US brand strategy and improve outcomes for patients with cardiovascular and renal diseases? As US Brand Analytics Director, you will drive the analytics agenda from pre-launch through growth, shaping decisions that determine where we invest, how we engage prescribers and patients, and how we accelerate access to life-changing therapies. In this player-coach role, you will partner with Commercial, Medical, Market Access, Sales, Finance, Forecasting, and Insights to translate pressing business questions into rigorous, decision-ready analytics. You will integrate patient-level, claims, EMR, prescription, and affiliation data with research and forecasting to surface opportunities, quantify risks, and inform resource allocation. Do you thrive at the intersection of scientific rigor and commercial urgency, turning data into clear choices executives act on? Accountabilities: • Insight and Executive Partnership: Synthesize commercial performance into concise narratives that clarify growth drivers, risks, and trade-offs, elevating insights into action for senior leaders. • Pre-Launch and Launch Readiness: Lead analytics for market definition, opportunity assessment, segmentation and targeting, KPI design, performance baselines, and post-launch measurement to accelerate confident decisions. • Patient Journey Analytics: Build longitudinal patient journeys and treatment-pathway analyses to refine positioning, guide investment choices, and inform forecasting assumptions. • Segmentation and Targeting Excellence: Lead HCP-level segmentation and optimize call plans, deploying advanced machine learning where it enhances impact and precision. • Data Integration and Tooling: Leverage syndicated, claims, and EMR sources to generate timely insights; design centralized repositories to reduce inconsistencies and enable self-service. • AI and GenAI Enablement: Drive adoption of AI and generative AI solutions, from automated insight generation to predictive modeling, improving speed and decision quality. • Capability Building and Innovation: Pilot new data sources and tools with test-and-learn rigor; scale capabilities that demonstrate business value and foster responsible innovation. • Portfolio Roadmapping: Maintain a transparent analytics roadmap, prioritizing work by strategic value, decision impact, and data readiness to ensure focus and delivery. • Vendor and Budget Stewardship: Manage external partners and secondary data investments, aligning spend with commercial priorities and measurable outcomes. • Team Leadership and Mentorship: Guide internal and offshore resources, contractors, and vendors; set standards for quality, timelines, and business relevance across the analytics portfolio Essential Skills/Experience: • 7+ years of experience applying advanced analytical methods and statistical procedures to large and disparate datasets, including: • Statistical analysis & modeling, including Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods • Data mining, predictive modeling & machine Learning algorithms • 3+ years of recent experience and proficiency with Python, R, SQL, and big data technologies, including the Hadoop ecosystem and Cloudera distribution tools such as Impala, Hive, HBase, Spark, MapReduce. • Demonstrated pharmaceutical, biotechnology, healthcare, payer or closely related commercial analytics experience, with strong understanding of how analytics supports brand strategy, launch readiness and performance management. • Working knowledge of data visualization – MicroStrategy, Tableau, Power BI, QlikView, D3.js or similar tools. • Proficiency in Microsoft Office applications, particularly Excel and PowerPoint. • Demonstrated expertise managing, analyzing and extracting insights from large longitudinal and transactional healthcare datasets, including claims, EMR, prescription, and other patient-level data. • 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 Mathematics, Computer Science, or Data Science. • An advanced degree is preferred (Master’s, MBA or PhD). Desirable Skills/Experience: • Strong leadership, interpersonal, communication, and influencing skills, with demonstrated ability to collaborate effectively with senior business leaders and cross-functional partners and translate complex analyses into succinct, compelling insights and recommended actions. • Experience scaling self-service analytics, reusable data products, automation or responsibly governed AI/GenAI solutions. • Strong strategic and critical thinking, organizational discipline and the ability to operate effectively in a complex, fast-moving, and ambiguous environment. 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: Join a company where scientific insight meets commercial excellence to deliver therapies that change lives. You will collaborate across disciplines and therapy areas, working with cutting-edge data platforms and AI to solve real patient and business challenges, from launch acceleration to ecosystem solutions across the patient journey. We value ambition and kindness in equal measure, creating space to experiment, learn fast, and share wins across teams. Here, your analytics will directly shape US strategy and contribute to a pipeline that is expanding in scope and impact, with clear opportunities to grow y