AI Business Partner, Mid (HTS)

Acentra Health, LLC•UNAVAILABLE, UNAVAILABLE

10d

About The Position

Acentra Health is seeking an AI Business Partner, Mid to join their growing team. This role supports the AI & Automation Center of Excellence and assigned business teams in identifying and advancing practical AI opportunities to enhance operational performance, product capability, service quality, and user experience. The position applies knowledge of AI, generative AI, automation, and data-driven innovation to help teams explore possibilities and translate business needs into defined use cases. Within the HealthTech Systems organization, this role collaborates with colleagues supporting provider and claims software platforms, services, and operations. Under the guidance of senior team members, the AI Business Partner will assist in documenting opportunities, assessing business value and readiness, coordinating stakeholders, and supporting AI concepts from discovery through planning and delivery.

Requirements

Bachelor's degree in Business, Healthcare Administration, Information Systems, Data Analytics, Computer Science, or a related field; equivalent relevant experience may be considered.
2+ years of experience in healthcare technology, healthcare operations, product management, business analysis, consulting, transformation, or a related business-facing role.
Working knowledge of healthcare administration workflows, such as provider systems, claims platforms, utilization management, care management, or payer/provider service operations.
Working understanding of AI, generative AI, automation, data analytics, and emerging technology concepts, with the ability to communicate them clearly to non-technical audiences.
Experience gathering business requirements, documenting workflows, identifying operational challenges, and translating needs into structured requirements or solution concepts.
Strong written and verbal communication, facilitation, organization, and cross-functional collaboration skills.
Experience contributing to business cases, initiative prioritization, process improvement, or technology-enabled transformation efforts.
Ability to manage multiple assignments, follow established processes, work with moderate independence, and escalate risks or decisions when appropriate.
Ability to balance innovation with practical considerations such as feasibility, adoption, change impact, compliance, data sensitivity, and responsible AI use.

Nice To Haves

Experience supporting AI, automation, analytics, digital transformation, or product innovation initiatives in a healthcare or software environment.
Familiarity with claims processing, provider data, provider portals, prior authorization, interoperability, or healthcare platform modernization.
Experience collaborating with AI engineers, data scientists, product owners, business analysts, scrum masters, or technical delivery teams.
Experience using generative AI tools for research, documentation, workflow analysis, solution framing, or productivity improvements.
Familiarity with agile delivery methods, project tracking tools, or process-mapping techniques.

Responsibilities

Partner with HealthTech Systems stakeholders to identify and document AI opportunities across provider, claims, and related software and service workflows.
Support discovery conversations and working sessions focused on workflow automation, decision support, knowledge retrieval, document intelligence, and user assistance.
Translate business needs, pain points, and operational goals into use case summaries, requirements, business value hypotheses, and initial solution concepts.
Coordinate with business stakeholders, product teams, transformation partners, change management, data teams, and AI engineering resources to support alignment and follow-through.
Assist with evaluating feasibility, value, risk, data readiness, workflow impact, and adoption considerations for proposed AI initiatives.
Prepare intake materials, business case inputs, prioritization documentation, status updates, and presentations for review by senior team members and business leaders.
Apply responsible AI practices by identifying needs related to human oversight, data sensitivity, privacy, compliance, and operational risk, and escalating concerns appropriately.
Maintain project and opportunity tracking, capture stakeholder feedback, monitor adoption themes, and document anticipated or realized business impact.
Contribute to reusable tools, templates, and lessons learned that improve the AI opportunity intake and delivery process.
Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules.