Principal Generative AI Consultant

The role is a principal level leader and relevant team members who have significant experience leading strategy and defining operational structures to meet organizational goals. For the principal, the experience includes: · Bachelor’s degree in computer science, Information Technology, Business, or other related degree or equivalent combination of education and/or experience. Advance degree (e.g. Master’s, PhD, etc.) desired. · 8+ years of experience in roles related to strategy, transformation, technology adoption, business advisory, and/or consulting within IT and business/clinical operations. · 6+ years providing advisory services with demonstrated knowledge and ability to navigate Generative AI and LLM. · Understanding of artificial intelligence technologies and their applications within diverse business environments; experience with AI in healthcare strongly preferred. · Experience with data security, data privacy, and governance frameworks. · Demonstrated ability in leading successful change management initiatives, demonstrating the ability to navigate organizations through complex transformations. · Demonstrated ability to build and maintain collaborative relationship with stakeholders at various organizational levels. · Demonstrated ability in setting and achieving performance metrics and KPIs, with a focus on delivering tangible and measurable results. The Principal, Generative AI Consultant and Team will work on:As part of the Generative AI Task Force work, has identified three areas where we want to engage an external consultant with substantive expertise to make recommendations based on industry best practices and structure. 1. Strategy: Development of a strategy for generative AI and LLM in the healthcare setting to ensure we are focused and working toward a defined vision. This work should include, without limitation: · An assessment of how generative AI can be leveraged to advance the Medicine clinical strategic plan, · Development of goals and a 3-year roadmap for maturity · A prioritization framework to guide what tools/functionality we pilot, · Exploration of partnership opportunities (e.g., vendor partnerships, consortia/collaboratives), · Learnings from and alignment with peer institutions, and · Consideration of leveraging external generative AI tools versus building internal capability to develop generative AI solutions. 2. Leadership and Accountability: Provide options for an operational leadership structure accountable for UW Medicine’s success in Generative AI and LLM. We envision this work includes: · Comparative analysis of organizational structures at peer institutions with a recommendation, · Assessing the bandwidth needed to support UW Medicine’s institutional approach to generative AI and its generative AI strategy, · Creating clarity around scope of the proposed accountability, and Recommending a vision for the collaboration required across UW Medicine and the University. 3. Governance:Recommending a proposed long-term governance structure to oversee institutional approach to generative AI in the healthcare setting. Such work should take into consideration: Existing governance structures and how this new structure might fit within, replace and/or complement what exists today, Avoiding duplication, confusion and/or overloading those with key subject matter expertise, Learnings and best practices from peer institutions and the industry generally, and The scope of expertise needed as part of the governance structure versus ad hoc participation.

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