Product Management Director Senior - Data Platforms

Elevance Health•Iselin, NJ

1d•Hybrid

About The Position

Product Management Director Senior - Data Platforms Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Product Management Director Senior will be responsible for managing a digital platform and advances 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. The ideal candidate will have a strong background in data engineering, programming, algorithm development, and statistical analysis, along with experience in building data products or platforms in healthcare. How you will make an impact: 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.

Nice To Haves

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.

Responsibilities

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.