Manage a digital platform and advance a suite of data and technology products by developing reusable analytic assets, federated and multimodal workflows, and privacy-preserving methods.
Work with datasets of varying size and complexity, including structured and unstructured data, and process massive data streams through ETL/ELT.
Analyze how partners use data and technology solutions to generate intelligence that enhances product development.
Guide the creation of high-quality assets that increase the value and differentiation of data and technology products.
Partner with product and engineering to package and operationalize methods while enhancing products with advanced computation and analytic tech stacks.
Track individual product performance by benefit design, market segment, and sub region.
Support the development of short and long-term strategic product plans.
Requirements
Requires a BA/BS degree and a minimum of 7 years of related experience; or any combination of education and experience, which would provide an equivalent background.
Master’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems, or a related field, and three (3) years of experience strongly preferred.
Cross training in data engineering and healthcare data analytics strongly preferred.
Three (3) years of experience with data sandboxes or Trusted Research Environments (TREs) strongly preferred.
Strong skills in Python and R; familiarity with Spark, SQL, and distributed computing environments strongly preferred.
Demonstrated ability to codify analytic methods into reproducible templates (e.g., Jupyter, R Markdown) strongly preferred.
Ability to integrate and analyze multimodal health datasets strongly preferred.
Strong understanding and experience with cloud environments and cloud computing platforms preferred.
Proficiency in building and managing data platforms and products strongly preferred.
Familiarity with product management principles, advanced analytics, algorithm development, and machine learning capabilities preferred.
Excellent written, oral, presentation and interpersonal communication skills with the proven ability to negotiate expectations between multiple parties strongly preferred.