Manager, Data Engineering

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 engineering, media analytics, and commercial strategy?
Join our team as a Manager where you will lead the development and deployment of advanced analytics and engineering solutions for media marketing mix optimization. You'll leverage cutting-edge technologies-including cloud-based analytics platforms, AI and machine learning 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 a passionate and results-oriented Data Engineer with a proven track record of building analytics pipelines, Analytics products, and Insights for the Life Sciences and Healthcare industry.
ROLE RESPONSIBILITIES

• Implement end-to-end analytics solutions to support commercial business objectives, including data curation, data analysis and manipulation and deployment.

• Develop pipelines and drive foundation for the implementation of media mix modeling and marketing analytics solutions.
• Has good understanding of media data integration, campaign performance, and resource allocation across digital, TV, print, and social media channels.
• Collaborate with our Data science, performance insights and brand-facing Insights & Strategy teams to build analytics solutions for specialized Global markets and commercial business units.
• Develop and maintain reusable analytics assets, custom data pipelines, and dashboards for media performance tracking and visualization.
• Partner with enterprise Digital Engineering team to identify and source data from centralized data warehouses.
• Actively contribute to Analytics team and project documentation and playbooks.

Technical skills and competencies:

• Advanced proficiency in Python, R, SQL, and cloud analytics platforms (e.g., Azure, AWS, GCP).
• Solid experience in SQL, data manipulation and Business Intelligence tooling and pipeline development.
• Understanding of Agile, SDCL, CI/CD is preferred.
• Experience with data visualization tools (Tableau, Power BI, Looker) and interactive analytics.
• Experience working in agile setting or bringing agile best-practice mentorship to the team.
• Familiarity with data privacy standards, pharma industry practices/GDPR compliance is preferred.
• 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.

BASIC QUALIFICATIONS

• 5-8 years of combined Analytics Data Engineering, Data analysis, Business intelligence or Analytics development experience
• Recent Healthcare Life Sciences (pharma preferred) and/or commercial/marketing experience industry experience is highly preferred.
• Bachelor's degree in a technical area such as Computer Science, Engineering, IT, or related Health Sciences field.
• Expert proficiency in Python, R, SQL, and Media analytics platforms.
• Strong verbal and written communication skills; ability to influence and collaborate across teams.
• 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 project management skills.
• 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.
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