Director Learning Technology Jobs in Delaware (NOW HIRING)

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 Directorwill 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.