David Robison Email & Phone Number

Mclean, Va, Us

Leads the development of products and experiences that leverage generative AI for enhancing developer productivity with focus on AI assisted support and knowledge management

Mclean, Va, Us

Led product management activities in Capital One's observability and resilience engineering division, delivering experiences to support day-to-day application monitoring and incident troubleshooting.

Worldwide, Oo

David served as Product Manager for Deloitte' s Government and Public Sector (GPS) internal machine learning platform. In this role, David led customer discovery across the GPS consulting business to prioritize valuable and feasible opportunities for acceleration via MLOps frameworks. David was responsible for driving key standardization, time to production, and time to market metrics for models and workloads hosted on the platform. In this role, David also supported Deloitte's CMS AI Challenge team where the team finished in the top 7 using an LSTM to predict health outcomes.

Worldwide, Oo

David was part of Deloitte's Health360 product team. In this role, David gathered and implemented requirements from Health and Human Services customers in the States of Virginia and Ohio to tailor the insights and workflows of Health360 to specific needs of these customers. In support of sales opportunities, David also wore multiple hats by supporting the rapid design and implementation of new feature prototypes.

Mclean, Va, Us

David served as Product Owner for the EpiMaps product contributing to design and overseeing development new analysis features used by customers within the DoD's US Public Health Service. David also supported rapid prototyping of several machine learning solutions using computer vision and unsupervised language models for image and text analysis, respectively.

Arlington, Virginia, Us

David served as a Product Analyst reporting to the Product Manager of Surescripts' Medication Adherence Management product. • Conducted a value study of a medication management product to enhance the product’s value proposition and refine the pricing model, working with a product analyst and business intelligence stakeholders. • Consulted on study design and sampling methodology to gather requirements for data blending from enterprise data warehouse and other sources prior to visualizing results in Tableau and statistical testing in R. • Managed a market research project for 3 other products by gathering research priorities, leading survey design of 70 – 75 questions and logic for selection of over 600 respondents, and reporting on results using Tableau.

Washington, Dc, Us

David supported product visioning, minimum viable product development, and management of Avalere's Quality Measures Navigator product. This business intelligence product was delivered to Life Sciences and medical specialty societies as well as Avalere staff to support more effective analysis and reporting of insights related to healthcare quality measures. • Worked within the Development team and with the Product Owner to translate customer needs into user stories and define acceptance criteria for the tools features and functionalities. • Implemented processes to maintain and update the tool’s content that accounted for considerations of timing, resource utilization, and priority to customers • Post launch, led the re-development of the tool’s search functionality based upon customer feedback David also managed advisory services projects for life sciences and professional society including budgeting, project management, research, and drafting of deliverables for review by Avalere senior leadership.

Boston, Ma, Us

• Made key contributions to a publication on Intravascular Lymphomatosis working fulltime during the summer and part time, independently, from Montreal.• Conducted literature research collecting over 2,000 case reports and extracted data from literature that contained sufficient information for analysis, entering it into spreadsheets to create a clinical database of over 700 patients. • Led exploratory statistical analysis and modeling using ANOVA, Mann–Whitney U test, and Kaplan-Meier estimations to evaluate disease lethality and progression. • Developed a dozen quantitative and qualitative graphics included in the publication’s final manuscript.. • Collaborated with research team to interpret the statistical results and supervised formatting, referencing, and submission of the manuscript.

Master Of Science (M.Sc.), Data Science

Bachelor Of Science (Bsc), Physiology, General