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Healthcare AI Business Analyst

Apolis · San Jose, CA · Hybrid

Strong hiring record · median 7 days open

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Posted today · still listed on the employer's own board · How we score

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  • Posted today
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Healthcare AI Business Analyst at Apolis. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job Title

Healthcare AI Business Analyst

Location

Hybrid. San Francisco Bay Area and be onsite at the client office in Pleasanton, CA 2-3 days per week (mandatory).

Duration

6+ months

Work you’ll do/Responsibilities

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from affiliate business, clinical, and technology teams, including escalating any matters that require additional attention and consideration from engagement management.

Independently and collaboratively lead client engagement workstreams focused on identifying, shaping, and supporting AI adoption opportunities across Risant affiliates, including discovery sessions, workshops, and working meetings with business, clinical, and operational teams.

Gather, analyze, and document business and functional requirements, user stories, and current-state and future-state process flows, and translate business needs into clear problem statements and success measures.

Help assess AI use cases for business value, feasibility, risk, and readiness, and support the evaluation and adoption of AI platforms and tools such as OpenAI and Claude. Help affiliates understand what AI can and cannot do, setting realistic expectations.

Partner with IT, data, security, and vendor teams to ensure requirements are understood and delivered, and support testing, validation, and user acceptance of solutions.

Manage timelines, deliverables, dependencies, risks, and issues for assigned initiatives, and provide regular status updates to stakeholders and leadership.

Support change management, training, and communication to drive adoption, and track and report on adoption and value realized.

Qualifications

Required

Bachelor’s degree, preferably in Information Technology, Healthcare Administration, Business, or a related discipline; or equivalent experience

10+ years of experience in IT or technology-related roles as a Business Analyst, Systems Analyst, or Solution Consultant (10-15 years is ideal; candidates with equivalent depth of experience will be considered)

5+ years of healthcare experience, with strong healthcare functional and operational knowledge

Working understanding of AI concepts and use cases (e.g., generative AI, automation, summarization, documentation support, analytics)

Demonstrated experience in project or program management, including managing scope, timelines, and stakeholders

Excellent verbal and written communication skills, with the ability to engage business leaders, clinicians, and IT teams

Must live in the San Francisco Bay Area and be able to work onsite in Pleasanton, CA 2-3 days per week.

Preferred

3-5 years of hands-on experience with AI-related initiatives, such as evaluating, piloting, implementing, or supporting AI or automation solutions (candidates with less direct experience but strong exposure and a demonstrated ability to learn quickly are welcome)

Familiarity with AI platforms or tools such as OpenAI (ChatGPT) or Claude

Healthcare clinical background or close clinical workflow experience

Epic functional knowledge (any module)

Experience working with health system affiliates, multi-entity organizations, or shared-services models

Experience with change management and adoption programs

Project management certification (PMP, CAPM, Agile, or similar)

Familiarity with healthcare data privacy and compliance considerations (HIPAA)

Analytical and problem-solving ability, with the ability to manage multiple initiatives and prioritize tasks into manageable work products

Can operate independently or with minimum supervision

Comfort with ambiguity and an emerging technology space

Facilitation, influence, and relationship-building skills

Note

This is not an AI engineering or forward-deployed engineer role. The priority is strong business analysis, systems analysis

Skills

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