Senior Director Of Data Science - Health & Wellness

Senior Director Of Data Science - Health & Wellness


San Bruno, California

Employment Type



Information Technology

Job ID



Executive Alliance is pleased to represent our client who are the incubation arm for the world's largest company and #1 on the Fortune 500. They are transforming the customer e-tail/retail experience for future generations with a focus on health and wellness.


They are seeking a Senior Director, Data Science to work out of their San Bruno, CA HQ OR New York Metropolitan area.

Job Description:

Job Requirements:

About the role:


As Senior Director, Data Science, you will own all data science and advanced analytics decisions required to stand up and scale this high priority initiative inside of the incubation unit. You will build a team and develop the roadmap to bring the vision to life. You will coordinate with leaders from the incubation unit and the parent company's Health & Wellness organization to design and build the solution that achieves the overall company's strategic goals. You will be empowered to build at the speed of a startup with the full support of the parent company's massive scale and resources.


What you’ll do:


  • Leverage your data science expertise to build a source of sustained competitive advantage in identifying, integrating, mining, and applying diverse healthcare data
  • Uncover insights for clinicians, care givers and patients to optimize their care journey and improve health outcome
  • Evaluate strengths and weaknesses of existing and new data sources (e.g., clinical, claims, Rx, synthetic) and develop and appropriate data science strategy to support insight generation from these data sources
  • Supervised machine learning classification models and feature creation
  • Use of deep learning models on time-series or temporal event sequences, especially experience dealing with mixed datatypes for temporal sequences
  • Build statistical models with mixed-random effects and latent variables
  • Build, coach and mentor a team of data scientists to foster a culture of success
  • Drive disciplined and transparent decision-making processes to shape informatics approaches and strategies to achieve defined goals
  • 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 data science concepts and principles as applied to relevant use cases through a program of information sharing and education sessions (e.g. colloquia)
  • Collaborate with Health & Wellness team, Global Tech team, product teams, ecosystem partners, and managed contract vendors
  • Manage and develop top-tier talent, including recruitment, engagement, and well-being




  • 8-10+ years in a health data and biomedical informatics/analytics leadership role, with robust network across healthcare industry stakeholders
  • Superb communication and relationship skills, including the ability to work with and present to C-level executives and board members; proven ability to influence strategic decision making
  • Deep technical experience leading data science teams combining various forms of health data to uncover new insights and novel data science approaches (e.g., clinical, pharmacy, claims) in broad array of use cases including population health and chronic disease management
  • In-depth experience partnering with cross-functional stakeholders to align health data science efforts with regulatory compliance, and business and clinical value
  • Expertise with clinical data standards, medical terminologies and vocabularies used in healthcare data and ontologies; recognized as an informatics/ISA expert
  • Demonstrated ability to manage full-time and contract teammates, both in-person and remote
  • Strong record of delivering data science projects with significant impact
  • Experience directing budgets, and resources to achieve maximum value
  • Strong track record of delivering large, cross functional projects
  • Contribution to external open source projects a plus
  • Success in an entrepreneurial environment, ideally within a high growth technology company
  • Experience and passion for rapid prototyping and development in a fast-paced environment
  • MS or PhD in bioinformatics or equivalent with a strong publication record preferred


Preferred experience:


  • Experience with time-series models like ARIMA, and methods for dealing with seasonality in time series
  • Experience with multi-modal models which leverage multiple sources of data
  • Experience with some models like HMMs, Markov chains, LSTMs, Bi-LSTM, and Graph Neural Networks
  • Publications in machine learning or deep learning in high ranked conferences or journals


Contact Details:

Sean Ames
Recruitment Manager