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Niche healthcare PLM and AI specialization reduces applicant pool despite generalist 'Business Analyst' title.
Specialized provider lifecycle, credentialing, and healthcare integrations limit cross-industry transferability.
Requires deep PLM domain expertise, specific healthcare systems integrations, and AI/governance skills, so strict screening likely.
Lead AI-driven assessments and diagnostics of Provider Lifecycle Management (PLM) processes, technology, data, and operations to identify inefficiencies and improvement opportunities.
Design and implement AI-first PLM solutions including provider onboarding and lifecycle journeys, leveraging AI/ML, GenAI, NLP, OCR, and automation to reduce turnaround times and manual effort.
Define and monitor key PLM performance metrics (e.g., Time-to-Network, Directory Accuracy), develop business cases and transformation roadmaps, and collaborate with cross-functional teams to deliver measurable operational improvements.
Strong domain expertise in Provider Lifecycle Management including Credentialing, Re-credentialing, Contracting, Enrollment, Onboarding, and Provider Data Management.
Experience with AI/ML technologies, GenAI, process mining, and analytics applied to healthcare PLM or related workflows.
Ability to develop API/integration strategies involving healthcare platforms such as Facets, QNXT, EHRs, CAQH, NPDB, and Salesforce Health Cloud.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading complex, AI-enhanced digital transformation projects within healthcare Provider Network Management or PLM environments.
Skilled in designing AI-first architectures and integrating healthcare data systems to optimize provider onboarding and management workflows.
Capable of translating healthcare compliance standards (NCQA, URAC, CMS) into operational benchmarks and measurable KPIs to drive continuous improvement and cost reduction.