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