I've led well-resourced organizations through periods of transformational change and found that long term success is based on continuously achieving superior outcomes in a cost-effective manner. This invites organic growth, allowing for greater investment in infrastructure, which positions orgnaizations for expontial vs. linear growth over the long run. Exponential growth is very relevant today with the advent of AI and private equity introducing new entrants that are quickly changing the competitive landscape.
Financial Leadership
Capital Allocation
Choosing Where to Invest
Organizations are faced with endless opportunities to invest in new technologies, services, and
programs.
The key is to identify the right opportunities that align to the organization's documented strategic
goals and objectives.
Capital Allocation Frameworks
I have established cross-functional committees to standardize feasibility assessments and prioritization for
enterprise-level capital investments in AI.
By applying standardized financial feasibility frameworks, decisions are streamlined, more objective, and repeatable; enabling faster execution of strategic priorities.
Maximizing the Return on Investments
Human capital is the most important asset of any organization. Empowering qualified people to execute on the plan is critical to success.
I include what seems obvious but it isn't always what happens; I have observed responsibilities be assigned based on relationships, tenure, or titles, rather than demonstrated competence.
Organizations pay a direct and indirect cost when this occurs.
Program Execution
Outcomes & Value Delivery
Enterprise-Scale Change
Establishing an operational framework helps to scale initiatives effectively. I have led 20+ large-scale program deployments across 230,000 patients and 25,000 employees, delivering millions of dollars in value.
Leveraging Intelligent Technology
Through the use of intelligent technology, DaVita has realized significant improvements in patient outcomes and cost savings. Contributing to success are the use of predictive models, GenerativeAI, and patient and staffing scheduling optimization models.
DaVita’s Integrated Kidney Care (IKC) has achieved a 25% lower hospitalization rate for patients, significantly improving care quality while lowering total costs.
My team's contribution to this success was partnering with clinicians to understand their needs and designing a solution to leverage data and make it available at the point of care to enable more informed decisions and timely interventions.
Infrastructure Matters
Today, it is very difficult for many organizations to demonstrate clear cause and effect relationships between clinical or operational outcomes and technology deployments.
However, investment in infrastructure, including data governance and the use of intelligent technology are mandatory to address skilled labor shortages, fierce competition, and diminishing reimbursements.
A robust and integrated infrastructure will help to offset logistical and workforce challenges, and if designed thoughtfully, can systematically improve care and become a strategic differentiator.
My Professional Development
UX Design & Human-Computer Interaction
Problem Statement
We are now in an era where intelligent solutions are mandatory for organizations to remain competitive. However, adoption and value realization remain elusive for the vast majority of organizations.
Solution
I intentionally chose a course on UX Design and Human-Computer Interaction to improve my ability to lead a more sophisticated approach to assessing the feasibility of strategic initiatives and be more sensitive to magnitude of change teams can handle.
The vast majority of intelligent products fail to scale because the interaction between people and tool creates friction.
Minimizing this friction will lead to a higher likelihood of adoption and value realization.
Implementation
Millions of dollars are lost in productivity when organizations fail to engage the people who are expected to use the new solutions.
To overcome this, I created a new team composed of AI Technical Product Managers who understand and incorporate Product Management principles into solution design and deployment.
This approach is applicable to any disruptive change, whether it be introducing a new service or using a new technology.