Director, Brand Analytics, CVRM

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.

Accountabilities

• Executive Insight Leadership: Synthesize commercial performance into concise, executive-ready narratives that illuminate growth drivers, risk areas, and strategic trade-offs.
• Brand Performance Analytics: Establish pre-launch KPI frameworks and lead post-launch performance reporting.
• Patient and HCP Insight Generation: Build longitudinal patient cohorts and journey analytics to uncover treatment-pathway trends.
• Advanced Targeting and Machine Learning: Lead HCP-level segmentation and call plan optimization.
• Data Strategy and Partnerships: Procure, evaluate, and integrate syndicated and emerging datasets (e.g., IQVIA, Optum, IntegriChain; claims; EMR).
• AI and Generative AI Adoption: Deploy solutions such as automated insight generation, natural-language data querying, and predictive modeling.
• Infrastructure and Automation: Design and maintain centralized repositories (e.g., Databricks).
• Experimentation and ROI Optimization: Run smart business experiments and develop robust ROI frameworks.
• External Scanning and Best Practice: Monitor leading analytic practices within and beyond pharma.
• Cross-Functional Leadership: Partner with Commercial, Sales Force Operations, Market Access, Medical, and Forecasting.
• Team Enablement and Resource Management: Mentor onsite/offshore team members and manage contractors.

Essential Skills/Experience

• 5+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets
• 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
• 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 Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science
• 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
• 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