Department OverviewReporting to the Chief Financial Officer, the Analytics, Decision Support, and Applied AI leader has oversight and accountability for identifying and developing analytical or AI enabled solutions to complex financial and operational challenges within the Knight Cancer Institute. The Leader leverages Knight enterprise data operations managed by the Office of the Knight Chief Data Officer and overseen by the Knight Director of Data Strategy and Innovation and partners with them to shape the enterprise data roadmap, so it reflects finance and operational priorities.
In partnership with leadership, physicians, and operations, the leader brings decision support, automation and repeatability to solutions by leveraging enterprise applications. The leader brings domain expertise in clinical operations, revenue cycle, payor evaluation, clinical costing and margin analysis, general ledger, human resources, sponsored research, clinical trials, capacity and utilization planning, market analysis, physician productivity and general benchmarking.
The intersection between domain expertise and analytical and AI tools is where the leader can bring tremendous value to the Knight Cancer Institute. The leader will support business planning priorities by quantifying return on investment and portfolio prioritization.
The leader partners with Chief Technology and Data officer on data strategy and governance. Provides executive insight and direction on opportunities to apply AI in business processes to enhance efficiency and further the Knight's mission.
The leader partners with Knight Chief Data officer and the Knight Director of Data Strategy and Innovation on data strategy and governance as a member of the Knight data governance committee. The leader adheres to data, metric and AI governance standards set by the Office of the Chief Data Officer. Identifies and champions opportunities to apply AI in finance and business processes to enhance efficiency and further the Knight's mission.
In partnership with the Chief Financial Officer (CFO), the role is also responsible for working collaboratively, and supporting, strategic and operational programs and processes across OHSU consistent with enterprise data and AI policies.
This role maintains the highest standards of integrity, collaboration, loyalty and enthusiasm, is self-confident and has the presence, knowledge base, and stature to gain the respect of peers, subordinates, physicians, staff, board members, executives, external stakeholder groups - and is effective in working within and across the enterprise.
Follows established KCI and department policies, procedures, objectives, performance improvement, attendance, safety, environmental, and infection control guidelines, including adherence to the workplace Code of Conduct. Practices a high level of integrity and honesty in maintaining confidentiality.
Function/Duties of Position- Leverages analytic and AI tools to solve the most complex financial and operational and financial challenges facing Knight Cancer Institute.
- Maintains and refreshes the foundational elements of the long-range plan, including all assumptions impacting KCI operating and financial performance. Long-range plan distinctly outlines the oncology market, financial and operating impacts and commitments related to investments in facilities, equipment, programs, physicians.
- Deploys analytic and AI solutions that advance KCI strategy, optimize capacity utilization, bring efficiency to operations.
- Develops sources of truth related to operating efficiency, financial performance, clinical and research productivity.
- Defines business requirements and metric definitions for operating efficiency, financial performance, and clinical and research productivity.
- Quantifies return on investment and supports portfolio prioritization for business planning, capital and program investment decisions.
Required Qualifications- Bachelor's degree in Computer Science, Statistics/Mathematics, Data Science, Economics or related field
- Minimum of eight (8) years' experience in healthcare financial and operational leadership roles. Experience in broad based delivery system preferred.
- Ability to translate business problems into analytical/AI solutions. Deep understanding of ML/AI methods and data architecture literacy. Expertise in Python, SQL, R.
Preferred Qualifications- Master's degree in Business, Statistics, Data Science or a related field.
- Experience in academic medical center and stand alone cancer center settings, faculty practice plans, and research integration is highly desirable.
- Expertise in executive storytelling with data, AI and data governance, model risk and explainability.
Additional Details- Position requires some travel from site to site throughout Oregon.
- The incumbent must be able to perform all of the essential duties with or without accommodation.
