Product Development Director - 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 Development Director 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:

• 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.

Minimum Requirements:

Requires a BA/BS degree and a minimum of 5 years of related experience; or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities, and 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.