Job Description - Lead Data Product Owner, RWD About The Position: We are seeking a Lead Data Product Owner to join Norstella's Real-World Data (RWD) organization. This senior individual contributor role serves as a healthcare data subject-matter expert, defines best practices for data use, and partners closely with engineering, product, delivery, and client-facing teams to ensure the data meets client needs. Key Responsibilities: Data Curation and Ownership • Define data element specifications, including data types, standard vocabularies, and curation logic across data products. • Evaluate curated outputs against published literature and other relevant evidence sources. • Build and maintain deep knowledge of Norstella databases, including curation methods, ETL processes, and product offerings. • Design data quality checks across ingestion and harmonization to strengthen reliability and downstream usability. • Document methodological decisions for internal and external audiences, including release notes and supporting documentation. • Identify recurring data issues and recommend process improvements. Cross-Functional & Vendor Support • Plan and execute data changes and enhancements across engineering and client delivery teams. • Drive cross-functional alignment by fostering collaboration, transparency, and clarity around shared goals and execution plans. • Respond to data questions and concerns from internal and external stakeholders to inform product refinement. Required Qualifications • 8+ years of experience in data quality, analytics, or data engineering roles, ideally within healthcare or life sciences. • Hands-on experience working with large, complex healthcare datasets. • Deep understanding of real-world data sources, including claims, EMR/EHR, and lab data. • Proficient SQL skills and experience navigating data pipelines and warehouses. • Proven ability to independently lead work from initial assessment through execution and resolution. • Strong analytical, problem-solving, and documentation skills, with a high standard for accuracy and clarity. Preferred Qualifications • Prior experience designing and curating data models. • Knowledge of healthcare data standards, privacy, and compliance requirements (e.g., HIPAA). • Experience with Python, R, Airflow, Amazon Redshift, DBM, or comparable cloud data warehouse environments.