Leads strategy and implementation of new products or product changes/enhancements for all Commercial segments and regions
Work with and process large, complex datasets, both structured and unstructured, by handling tasks such as ETL/ELT, metadata extraction, dataset registry, cohort development, and data enrichment/merging to facilitate comprehensive analysis
Collaborate with partners to analyze data usage and technology solutions, design and guide the effective use of products, and develop high-quality assets that enhance product development, enablement functions, and differentiate our offerings in the market
Partner with product and engineering teams to package methods for operational use, and enhance products with advanced computational techniques and an expanded analytics tech stack, including LLM co-piloting, natural language prompting, and no/low-code integrations
Monitors product performance and the competitive environment to ensure products meet competitive and legislative needs
Adheres to product development policies and processes to guide product development
Responsible for innovation and development of products for both new and existing markets
Coordinates presentation, communication and implementation of all phases of product development
Ensures all products are compliant with regulatory directives and state/federal laws and policies
Serves as a product expert and a relationship manager to the core clients
Collaborates with matrix partners across the company to deliver product solutions in a timely and effective manner
Monitor competitive, regulatory, economic and other environment to gauge product impacts or opportunities

Requirements

Requires a BA/BS degree and a minimum of 5 years of related experience
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.

Benefits

comprehensive benefits package
incentive and recognition programs
equity stock purchase
401k contribution

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRSparkSQLdata engineeringhealthcare data analyticsdata sandboxesTrusted Research Environmentsmachine learningadvanced analytics

Soft Skills

communicationpresentationinterpersonal skillsnegotiationcollaborationinnovationrelationship managementstrategic thinkingproblem-solvinganalytical thinking

Certifications

BA/BS degreeMaster's degree in StatisticsMaster's degree in Computer ScienceMaster's degree in MathematicsMaster's degree in Machine LearningMaster's degree in EconometricsMaster's degree in PhysicsMaster's degree in BiostatisticsMaster's degree in Information Systems