Tamara Sipes

• Set the Vision and Strategy for UnitedHealthcare for a Mature AI Enterprise, driving transformation, innovation, and full adoption of AI and competing with Generative AI
• An exceptional track record in envisioning and delivering data, analytics, and AI products at scale, including driving operational cost savings and productivity gains with safe, effective and scalable Generative AI products
• Leading the enterprise level AI for Claims Processing initiative
• Working closely with legal, compliance, regulatory affairs in drafting policies and responses to regulators
• Developed the AI Maturity Model and the tools to proselytize AI across the enterprise and drive the company towards greater AI acumen
• Increased the AI Maturity across the teams, set standards and educational support and disciplined, technically-sound and responsible use of data and AI, while building and scaling transformative healthcare AI products
• Telecommuting

• Leader of AI and ML Engineering within the UnitedHealthcare CTO, reporting to the Chief Data Scientist
• Responsible for key strategic AI initiatives within the UnitedHealthcare technology product lines
• Evangelizing and delivering on a software2.0 approach within product and software engineering delivery organizations
• Setting best practices for scalable, repeatable, and scientifically sound data science and responsible use of ML
• Telecommuting

• Direct responsibility for the delivery/management of large-scale data science model portfolio ($150M in medical cost savings/$25M revenue), both for external clients’ Pre-Pay and Post-Pay books of business and scaling of initial solutions
• Envisioned and brought to fruition the move to modern ML capabilities and products, model approval, monitoring and maintenance processes, agile delivery
• Doubled the medical cost savings targets during the first year, by using advanced ML methods and investing in innovation, and continued to promote and grow the reach of ML
• Telecommuting

• Accelerated breadth and depth of Data Science capabilities across the department
• Developed FWAE methodologies, analyses and predictive models using provider and claims data, including supervised, unsupervised, text mining, ensemble modeling, deep learning, and other machine learning methodologies
• Research and development of innovative proof of concept studies to enhance Advanced Analytics Lab’s analytic capabilities
• Communicating analytics results and project status to clients and business partners
• Conference presentations
• A UHG Culture Ambassador
• Telecommuting

Envisioned, established, and managed the Data Analytics direction of the company
Recruited the team and developed the strategy for healthcare analytics solutions
Oversaw the development of a transformational, multi-source, complex data analysis solutions for healthcare, including anomaly detection of healthcare financial charges, classification models for improvement of patient outcomes, protocols and compliance levels, and enhancement of Emergency Department outcomes

• Changed the strategic analytics direction of the company by expanding the company business to healthcare, biomedical and energy domains
• Led the Division of Data Analytics and Intelligent Systems and drove innovation into the modeling process in a variety of domains
• Management, design, and end-to-end development of analytics products including novel advanced analytics algorithms, predictive modeling of a variety of scientific and other datasets
• Responsible for attracting new collaborations and bringing new projects.