Senior Manager, Data Science & Analytics (Media Mix Modelling)

ROLE SUMMARY Are you passionate about transforming media data into actionable insights for marketing success? Do you thrive in a dynamic environment that blends data science, media analytics, and commercial strategy? Join our team as a Senior Manager, Data Science & Analytics, where you will lead the development and deployment of advanced analytics solutions for media marketing mix optimization. You’ll leverage cutting-edge technologies—including AI, machine learning, and cloud-based analytics platforms—to drive strategic decisions and maximize ROI across digital and traditional media channels. This global role offers the opportunity to collaborate with cross-functional teams, influence marketing strategies, and shape the future of data-driven media planning. The ideal candidate is an expert in data science with experience working in diverse and cross-functional teams, bridging the gap between data, technology, and people, experience with media analytics and impact assessment using techniques like marketing mix, A/B testing, etc. to deliver the promise of AI/ML to improve patients’ lives. ROLE RESPONSIBILITIES Lead the design, development, and implementation of media mix modeling and marketing analytics solutions using advanced statistical and machine learning techniques. Drive the evolution of analytics processes for media data integration, campaign performance measurement, and resource allocation across digital, TV, print, and social media channels. Oversee experimentation frameworks (A/B testing, multi-touch attribution, econometric modeling) to quantify media impact and optimize marketing spend. Serve as the subject matter expert for media data analytics, providing strategic guidance to senior marketing and commercial leaders. Collaborate with cross-functional teams (marketing, finance, IT, agencies) to align analytics initiatives with business objectives and ensure seamless data integration. Lead and mentor a team of data scientists and analysts, fostering technical excellence and professional growth. Develop and maintain reusable analytics assets, custom data pipelines, and dashboards for media performance tracking and visualization. Communicate complex analytical findings to non-technical stakeholders, translating data insights into actionable recommendations. Stay abreast of industry trends in media analytics, marketing technology, and data science, proactively identifying opportunities for innovation. Lead planning and prioritization of Promotion Impact services and change management with cross functional stakeholders. Technical skills and competencies: Strong strategic, conceptual and analytical thinker with the ability to understand analytics needs, leverage learnings from other industries and use sophisticated analytical tools and techniques to build effective solutions. Expertise in media mix modeling, multi-channel attribution, and marketing ROI analysis. Advanced proficiency in Python, R, SQL, and cloud analytics platforms (e.g., Azure, AWS, GCP). Applied knowledge of machine learning, deep learning, and statistical modeling for media data. Experience with data visualization tools (Tableau, Power BI, Looker) and interactive analytics. Strong understanding of media data sources (ad impressions, GRPs, reach/frequency, digital analytics, social listening, CRM). Ability to architect scalable data solutions and automate analytics workflows. Exceptional project management and stakeholder engagement skills. Demonstrated insight and understanding of the pharma health care space (physician-level prescribing, institutional sales data, payer-prescriber-level data, formulary data, patient-level data, etc.), trends, and issues combined with experience in the areas of marketing mix optimization and Field Force Sizing Proven ability to recognize interactions between insights, identify trends, proactively recognize future business needs and link them to current and future analytics. Exceptional communicator: Can readily align interpersonal style with the individual needs; can understand, translate, and distill complex, technical concepts to a layperson Highly collaborative: Shares responsibility and credit; develops self and others through teamwork; comfortable working in global environment and across time zones Strong at project management: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently BASIC QUALIFICATIONS 9+ years of experience in advanced analytics, with a focus on Media data, Marketing mix modeling, or Digital marketing analytics. 2+ years in a leadership role managing analytics teams and cross-functional projects. STEM degree (Statistics, Computer Science, Engineering, Mathematics, Economics) with quantitative emphasis. Expert proficiency in Python, R, SQL, and media analytics platforms. Demonstrated experience in statistical analysis, machine learning, and optimization. Strong verbal and written communication skills; ability to influence and collaborate across teams. Applied knowledge of statistical analysis, experience with R, Python, Excel, etc. Strong background in optimization, mathematical modeling, machine learning, algorithms, and data structures Superior analytical skills required; Strong verbal and written communication skills Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa PREFERRED QUALIFICATIONS Industry experience in media, advertising, or marketing analytics coupled with basic understanding of the pharma domain. Consulting experience and proven project management skills. Experience with Bayesian statistics, cloud computing, and big data technologies. Familiarity with media datasets (Nielsen, Kantar, Comscore, digital ad platforms, CRM, social media analytics). Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Marketing and Market Research