Position Summary... As Senior Director of Consumer Health Solutions, you will lead the development of novel health products and services at the intersection of consumer behavior, health, and data science. You will manage and grow a team of data scientists, product managers, researchers, and designers, with business, product, and tech leaders across Walmart, to deliver solutions which leverage machine learning and other technologies to activate customers for healthier living and create value across multiple business segments. What you'll do...
- Partner with strategy and business unit teams in the concepting stages of solution incubation
- Oversee the product discovery process to uncover insights for patients/consumers, care givers, and clinicians to optimize care, enable healthy behaviors, and improve health outcomes
- Lead the lifecycle stages of solution incubation after concepting, from early-stage prototyping through multiple test-and-learn cycles to late-stage handoff for build, integration, and launch at scale
- Develop individual and population-level consumer health insight solutions as value-enhancing capabilities for multiple Walmart businesses, leveraging health data science and machine learning
- Develop customer activation solutions which leverage internal assets and physical/digital customer touchpoints to enable healthy eating and other health-promoting behaviors and which enhance customer trust, loyalty, and product sales
- Manage solution development to support and enable appropriate business cases
- Drive disciplined and transparent processes to enable efficient data science model development and validation in support of both product roadmap and novel hypothesis testing, and to communicate high level and detailed product specifications
- Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness
- Implement model monitoring and model life-cycle management practices.
- Contribute code documentation, maintain playbooks, and provide timely progress updates
- Evaluate strengths and weaknesses of existing and new data sources (including consumer data and healthcare data) and develop an appropriate data science strategy to support insight generation from these data sources
- Build, coach and mentor a team of data scientists and product managers to create a unified approach to data product development and foster a culture of success
- Act as an internal and external spokesperson for the initiative
- Present complex data science concepts and principles in simple, concise, and clear business terms
- Enable cross-functional learning about product management and data science concepts and principles as applied to relevant use cases through a program of information sharing and education sessions (e.g. colloquia)