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

<p><b>ROLE SUMMARY</b></p><p>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?</p><p></p><p>Join our team as a <b>Senior Manager, Data Science &amp; Analytics, </b>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.</p><p></p><p>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.</p><p></p><p><b>ROLE RESPONSIBILITIES</b></p><ul><li><p>Lead the design, development, and implementation of media mix modeling and marketing analytics solutions using advanced statistical and machine learning techniques.</p></li><li><p>Drive the evolution of analytics processes for media data integration, campaign performance measurement, and resource allocation across digital, TV, print, and social media channels.</p></li><li><p>Oversee experimentation frameworks (A/B testing, multi-touch attribution, econometric modeling) to quantify media impact and optimize marketing spend.</p></li><li><p>Serve as the subject matter expert for media data analytics, providing strategic guidance to senior marketing and commercial leaders.</p></li><li><p>Collaborate with cross-functional teams (marketing, finance, IT, agencies) to align analytics initiatives with business objectives and ensure seamless data integration.</p></li><li><p>Lead and mentor a team of data scientists and analysts, fostering technical excellence and professional growth.</p></li><li><p>Develop and maintain reusable analytics assets, custom data pipelines, and dashboards for media performance tracking and visualization.</p></li><li><p>Communicate complex analytical findings to non-technical stakeholders, translating data insights into actionable recommendations.</p></li><li><p>Stay abreast of industry trends in media analytics, marketing technology, and data science, proactively identifying opportunities for innovation.</p></li><li><p>Lead planning and prioritization of Promotion Impact services and change management with cross functional stakeholders.</p></li></ul><p></p><p><b>Technical skills and competencies:</b></p><ul><li><p>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.</p></li><li><p>Expertise in media mix modeling, multi-channel attribution, and marketing ROI analysis.</p></li><li><p>Advanced proficiency in Python, R, SQL, and cloud analytics platforms (e.g., Azure, AWS, GCP).</p></li><li><p>Applied knowledge of machine learning, deep learning, and statistical modeling for media data.</p></li><li><p>Experience with data visualization tools (Tableau, Power BI, Looker) and interactive analytics.</p></li><li><p>Strong understanding of media data sources (ad impressions, GRPs, reach/frequency, digital analytics, social listening, CRM).</p></li><li><p>Ability to architect scalable data solutions and automate analytics workflows.</p></li><li><p>Exceptional project management and stakeholder engagement skills.</p></li><li><p>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</p></li><li><p>Proven ability to recognize interactions between insights, identify trends, proactively recognize future business needs and link them to current and future analytics.</p></li><li><p>Exceptional communicator: Can readily align interpersonal style with the individual needs; can understand, translate, and distill complex, technical concepts to a layperson</p></li><li><p>Highly collaborative: Shares responsibility and credit; develops self and others through teamwork; comfortable working in global environment and across time zones</p></li><li><p>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</p></li></ul><p></p><p><b>BASIC QUALIFICATIONS </b></p><ul><li><p><b>9&#43; years of experience in advanced analytics, with a focus on Media data, Marketing mix modeling, or Digital marketing analytics.</b></p></li></ul><ul><li><p><b>2&#43; years in a leadership role managing analytics teams and cross-functional projects.</b></p></li><li><p><b>STEM degree (Statistics, Computer Science, Engineering, Mathematics, Economics) with quantitative emphasis.</b></p></li><li><p><b>Expert proficiency in Python, R, SQL, and media analytics platforms.</b></p></li><li><p>Demonstrated experience in statistical analysis, machine learning, and optimization.</p></li><li><p>Strong verbal and written communication skills; ability to influence and collaborate across teams.</p></li><li><p>Applied knowledge of statistical analysis, experience with R, Python, Excel, etc.</p></li><li><p>Strong background in optimization, mathematical modeling, machine learning, algorithms, and data structures</p></li><li><p>Superior analytical skills required; Strong verbal and written communication skills</p></li><li><p>Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa</p></li></ul><p></p><p><b>PREFERRED QUALIFICATIONS</b></p><ul><li><p><b>Industry experience in media, advertising, or marketing analytics coupled with basic understanding of the pharma domain.</b></p></li><li><p>Consulting experience and proven project management skills.</p></li><li><p>Experience with Bayesian statistics, cloud computing, and big data technologies.</p></li><li><p>Familiarity with media datasets (Nielsen, Kantar, Comscore, digital ad platforms, CRM, social media analytics).</p></li></ul><p style="text-align:inherit"></p><p style="text-align:left"><span><span><span><span><span><span><span><span><span>Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</span></span></span></span></span></span></span></span></span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>Marketing and Market Research<p></p><p></p>