Director of Innovation

Pure Infusion•Sandy, UT
•Onsite

About The Position

The Director of Innovation leads Pure Infusion’s work at the intersection of business operations and technology. Reporting to the EVP, Operations and Digital Innovation, the Director sets cross-department priorities for software, data, and AI initiatives and turns business needs into approved requirements. The role leads business cases, process redesign, and vendor evaluation across intake, clinical operations, revenue cycle, pharma relations, and finance. The Director builds and leads the Innovation team and partners with the CIO and Head of Data to connect technology and data platforms to business outcomes. The Director will build and lead a team of approximately five direct reports, hired over the coming months. The role owns team hiring and is accountable for onboarding, performance management, coaching and development, workload allocation, and team results, consistent with Pure Infusion policy. The work is performed primarily at a desk using a computer, phone, and video tools for extended periods. The position is based in a professional office environment at Pure Infusion’s corporate office in Sandy, Utah, with travel to Pure Infusion clinics and other business locations as needed. Employment is contingent upon successful completion of a background check consistent with applicable law.

Requirements

  • At least 7 years of experience in operations, product, program management, business analysis, or process improvement, including at least 3 years leading cross-functional work.
  • Demonstrated experience directly managing people, including hiring and performance management.
  • Working fluency in the software development lifecycle and agile practices, including backlog, sprints, testing, and release; coding is not required.
  • Demonstrated experience building roadmaps and business cases and evaluating software vendors.
  • Demonstrated process-improvement experience, including mapping current-state work, identifying improvements, and measuring results.
  • Practical AI literacy, including understanding what models and agents can and cannot do, where data risks arise, and how to assess vendor claims.
  • Ability to understand how changes in one department affect others and carry requirements, data definitions, and process steps through to completion.
  • Clear written and verbal communication with technical and executive audiences.
  • Ability to influence without formal authority, decline requests with clear reasons, and maintain working relationships.
  • Sound judgment in prioritizing competing requests.
  • Ability to lead and develop a team toward measurable outcomes.
  • No degree is required; equivalent experience qualifies.
  • No licensure or certification is required.

Nice To Haves

  • Healthcare operations experience, ideally in infusion, specialty pharmacy, or revenue cycle.
  • Familiarity with HIPAA, PHI handling, and AI governance.
  • Prior experience as a product manager or program manager.
  • A master’s degree, such as an MBA or an adjacent field.

Responsibilities

  • Run weekly triage of business requests and determine cross-department priorities.
  • Gather and document requirements with the departments that own them, and provide requirement sign-off before work moves to build.
  • Co-manage the internal application roadmap with engineering and support the enterprise technology roadmap with the EVP and CIO.
  • Lead business cases for software and AI investments, evaluate vendors and their claims, and recommend technology and vendor decisions with the EVP and CIO.
  • Map current cross-department workflows, identify opportunities for software or AI improvement, lead process redesign, and measure results.
  • Partner with the Head of Data on data priorities and definitions, and recommend data priorities.
  • Keep the Innovation Plan current and report progress to the EVP.
  • Maintain separation between data warehouse work and application work, and challenge unreasonable scope or timelines.
  • Identify data, privacy, and AI risks in proposed initiatives and route them to appropriate Compliance, Privacy, and IT owners.
  • Build, lead, and develop the Innovation team, including hiring, onboarding, performance management, coaching and development, workload allocation, and accountability for team results.
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