Senior Manager, Integrated Intelligence Measurement

About this role

At Real Chemistry, making the world a healthier place isn't just an aspiration-it's our everyday reality. Our drive to transform healthcare is informed by our blend of deep scientific expertise, human-centred creativity, and AI-driven insights, fostering a unique environment where innovation thrives and our people are impact-obsessed. As a global agency, we provide a full suite of services across healthcare communications and marketing to our clients, including top players in the pharmaceutical and biotech industries. Our #LifeatRealChem culture is rooted in our people-we believe we are best together and are committed to excellence for both our clients and colleagues. Whether you're a seasoned professional or just starting your career, if you share our passion for healthcare and connection, we invite you to explore our opportunities. Discover your purpose. Embrace innovation. Experience #LifeatRealChem. Role Overview The Senior Manager, Integrated Intelligence Measurement role serves as a key member of the Measurement Enablement team, responsible for ensuring client healthcare marketing data is accurate, current, and ready for reporting and analysis. This role bridges the gap between Data Engineering, analytics teams, and client stakeholders by managing data ingestion processes, validating data quality, maintaining reporting-ready data structures, and resolving issues throughout the data lifecycle. The ideal candidate enjoys investigating data questions, identifying root causes of data discrepancies, improving data quality, and working across multiple teams to ensure reliable data powers business decisions. This is a hybrid role, based in any of our US offices-New York City, Boston, Chicago, San Francisco, Indianapolis, or Lambertville (NJ)-or remotely within the US, depending on team and business needs. Primary Responsibilities Data Ingestion & Source Management Coordinate the onboarding of new client data sources and data feeds. Partner with Data Engineering to ensure successful ingestion of data into Databricks. Monitor data delivery schedules and ingestion processes. Maintain source documentation, field mappings, and data inventories. Work directly with internal teams and external partners to resolve source-related issues. Data Quality & Stewardship Monitor data freshness, completeness, and accuracy across client datasets. Perform ongoing quality assurance and reconciliation checks. Investigate missing, unexpected, or inconsistent data. Escalate, coordinate and resolve remediation efforts with the appropriate teams. Maintain documentation of data quality findings and resolutions. Support the development of automated data quality checks and monitoring processes. Data Modeling Develop and maintain client-specific standard, custom, and master tables and reporting views within Databricks based on a medallion architecture. Assist with transforming and standardizing data from multiple sources into reporting-ready structures. Solve problems and help build solutions related to the data model to meet evolving reporting and analysis needs. Document business rules, transformation logic, and metric definitions. Support maintenance of reusable reporting datasets and standardized data models. Stakehold

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