Senior Product Management Director – Data Platforms

Role Overview

• 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 that enable partners to generate trusted insights, and validate solutions.
• Work with datasets of varying size and complexity, including structured and unstructured data, and process massive data streams through ETL/ELT, metadata extraction, dataset registry, cohort development, and data enrichment/merging to enable advanced analysis.
• Analyze how partners use data and technology solutions to generate intelligence that enhances product development and enablement, while designing, codifying, and advising partners on effective product utilization to ensure objectives are achieved.
• Guide the creation of high-quality assets that increase the value and differentiation of data and technology products, and partner with product and engineering to package and operationalize methods while enhancing products with advanced computation and expanded analytic tech stacks (e.g., LLM co-piloting, natural language prompting, and no/low-code integrations).
• Partners with product managers to achieve superior execution of product strategy in the marketplace.
• Tracks individual product performance by benefit design, market segment and sub region.
• Supports the development of short and long term strategic product plans in support of market, sales and profitability objectives.
• Identifies system needs to support short and long term product strategy. Develops system requirements and ROI. May lead effort or manage project teams in the implementation of complex regional and companywide initiatives including portfolio repositioning in a market, legislative changes, network/provider changes/ medical management program and policy initiatives, etc.
• Develops, implements and maintains competitive product platform.

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.

Tech Stack

• Cloud
• ETL
• Python
• Spark
• SQL

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Incentive bonus programs
• Comprehensive benefits package
• Stock purchase plan
• Wellness programs
• Financial education resources