In my role as Vice President of Data Operations at Highmark Health, I partnered with key stakeholders on the development and execution of our enterprise data strategy. This involved leading the cloud and on-premises data estate, ensuring data reliability, scalability, and trustworthiness, and supporting the Living Health Data and AI strategy for our health plan and diversified portfolio companies across six states.

In my role as AVP Analytics Services at Intermountain Healthcare, I defined and implemented analytics strategies for various functions, ensuring consistent standards and workflows for reporting and analytics infrastructure. I led the Advanced Data Science function, implementing advanced analytics methods across the organization.

In my role as Vice President of Analytics and Strategy at Vidant Health, I developed and led data strategy initiatives to enhance patient care and operational efficiency. By collaborating with service line leadership, I advanced data governance and integrated novel data capture and analytics solutions. My efforts resulted in improved data integrity, protection, and value, ultimately driving long-term business strategies through digital innovation.

Teaching advanced analytics to masters level students at the Duke Fuqua School of Business and Duke University School of Nursing. Teaching course sections on advanced analytics including:* Technologies for big data and data science* Machine learning* Texts analytics, text mining, and natural language processing (NLP)* Model validation* Ensemble models and neural networks* Statistical analysis* Data visualization• Design and development of content aimed at developing analytics competency for practicing emerging professionals across a variety of industries.• Designing authentic assessments projects for students. Construction of practical use cases of data where novel approaches to critical thinking, problem-solving, and visual data discovery can be exercised and tested in an objective manner.• Directing formal internship for PhD students in Nursing students. Mentor PhD level students in applied analytics. Designed program for mentoring and coaching of students and supported the development of peer-reviewed journal article submission.• Faculty, mentor, and advisor for students in the Masters of Quantitative Management (MQM) program. Responsible for sourcing analytics consulting projects for the MQM program participants, mentoring students through the development of SOWs, problem definition, requirements management, delivery and presentation of findings. Delivering courses on advanced analytics topics such as NLP and machine learning.• Directing Capstone class efforts in MQM. Providing leadership over the entire capstone experience, including oversight and working with the other Capstone faculty. Designing educational and experiential to support students and other faculties in the delivery of capstone projects.

Founder and Chief Executive of a healthcare analytics advisory firm, offering management consulting and technology implementation services designed to improve patient care, transform population health strategies, and develop individual competencies and organizational capabilities centered around the strategic use of data.Expert in using data and analytics to drive improvements in healthcare operations, financial performance, and patient safety and quality. Deep understanding of data management, organization, and modern data strategies, predictive modeling, geospatial analytics, research analytics, as well as adult learning and motivation.▪ Designed and built operating models for organizations to improve their data and analytic capabilities needed to support their transformation to value-based care. ▪ Helped Chief Data & Analytics Officers (CDAO) and other executive leaders in client organizations demonstrate improvements in analytics maturity (e.g., HIMSS Analytics AMAM and IAA Delta Model.)▪ Collaborated with the executive leadership of over 280 customers during a 15-year period where I designed and delivered over 150+ data products ranging from patient-level data warehouses to large scale registries and analytics platforms.▪ Developed machine learning models and other advanced analytics programs to improve population health management, predict and avert readmission risk, lower patient mortality, improve quality measures, etc.▪ Designed and developed an analytics competency model and data literacy program utilized across a number of health systems to measure and improve analytics competencies and support workforce development programs. ▪ Designed change management strategies to support the individual growth for 100’s to 1000’s of employees and third-party organizations.

An evidence-based organizational framework for exceptional analytics team results.The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skill sets, expertise, and structural traits. In this book, he details the concepts, people, and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground.Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to:- Master fundamental concepts and practices of the analytics life cycle- Understand the knowledge domains and best practices for each stage- Delve into the details of analytical team processes and process optimization- Utilize a robust toolkit designed to support analytic team effectiveness

Instructor in the Master of Science in Analytics (MSA) program. Developed and delivered a course on the application of analytics in health and life sciences including clinical trials, health payers, providers and public health research.• Teaching advanced analytics to MSA students. Created new course offering for students to build on their foundational analytics knowledge specifically to expand their knowledge of the applications of analytics in an industry space like health and life sciences. • Facilitated analytics competition for MSA students. Designed and implemented an analytics competition for students to apply their knowledge in solving a real problems in health care.

▪ Grew revenue to exceed $5M over 3 years by leveraging thought leadership and strategic partners. ▪ Generated over $1M in liquidity and stretch margins. ▪ Built largest patient registry in the United States with over 1M patients across 1.5K clinical sites. ▪ Designed and deployed standard reporting system for Top 10 Pharma company, boosting efficiency.

▪ Built division from 1 to 7 consultants within 4 months, generating $1M in first year revenue. ▪ Developed enterprise quality management for major automobile manufacturer. ▪ Successfully implemented churn and life-time value model for large telecommunications company.

Directed all technology and software engineering for international research organization. Designed, developed and implemented enterprise software solutions globally for research/ analytic systems as well as business/ operational systems. Managed development and educational efforts and staff for 2000 employees globally. Architected 360° product for organizational scorecard management (Measurement Based Leadership™).

Responsible for customer research analytics in support of marketing, brand equity, and product packaging design. Accomplishments included the development of standard methodologies for statistical analysis, project and portfolio management, as well as supervision of statistical and data analytics activities for the organization.