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LifePoint Health

Senior Analyst, AI Business & Transformation

Posted 10 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in United States
Senior level
Remote or Hybrid
Hiring Remotely in United States
Senior level
Act as the strategic bridge between business stakeholders and AI engineering: identify automation opportunities, translate business needs into engineering specifications, prioritize and manage a use-case pipeline, produce executive-ready AI communications using LLM tools, ensure governance and security compliance, track ROI of deployed solutions, and lead stakeholder engagement across units.
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EEOC Statement

“Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment.”

You must be authorized to work in the United States without employer sponsorship.


WORK ENVIRONMENT AND TRAVEL REQUIREMENTS:

The position is: Hybrid - Brentwood, TN 

Travel Requirements: Less than 25%

POSITION SUMMARY:

The AI Business Analyst is the strategic bridge between business stakeholders and the AI Transformation engineering team. This role identifies high-value automation opportunities across the organization, translates business challenges into actionable engineering requirements, and produces executive-ready communications that demonstrate the team’s impact and ROI.

Leveraging AI tools natively in their own daily workflow, this analyst operates as both a domain expert and an AI power user — helping the organization understand what is possible while ensuring the engineering team builds what actually matters. Candidates who use AI tools daily and demonstrate clear enthusiasm for enterprise AI transformation are strongly preferred over those with a traditional BA background alone.

ESSENTIAL FUNCTIONS:

  • Conduct structured discovery sessions with business unit leaders and operational teams to identify manual processes, bottlenecks, and automation opportunities with measurable business impact.
  • Translate business requirements into clear, actionable engineering specifications the AI engineering team can build against — including agent scope, data inputs and outputs, success criteria, edge cases, and security considerations.
  • Use AI tools natively (including Anthropic Claude, Microsoft Copilot, and other LLMs) to draft executive summaries, business cases, use case briefs, ROI analyses, and presentation materials for senior leadership.
  • Maintain and manage the team’s use case pipeline: prioritizing opportunities by business impact and technical feasibility, tracking progress from discovery through deployment, and communicating status to stakeholders.
  • Serve as the primary point of contact for business units seeking AI transformation support — qualifying inbound requests, setting appropriate expectations, and managing the engagement model with external teams.
  • Develop and maintain standard templates for use case intake, requirements documentation, agent specification, and executive reporting to accelerate the team’s ability to move from idea to build.
  • Collaborate with the AI governance team to ensure all proposed use cases align with organizational AI policies, data handling guidelines, responsible AI principles, and compliance requirements.
  • Build and maintain stakeholder relationships across business units, IT, and senior leadership — facilitating alignment and removing communication-driven blockers that slow the team.
  • Track business outcomes delivered by deployed AI agents and automation — working alongside the team’s analytical tools to validate that implemented solutions achieve stated ROI.
  • Stay current with enterprise AI capabilities, industry use cases, and emerging best practices to proactively surface transformation opportunities to the team and leadership.

QUALIFICATION, EDUCATION, KNOWLEDGE, SKILLS:

The requirements listed below are representative of the knowledge, skills and/or abilities required.

EDUCATION:

Bachelor’s degree in Business Administration, Information Systems, Healthcare Administration, Operations, or related field. Advanced degree a plus but not required.

EXPERIENCE:

3+ years in a business analyst, management consultant, operations analyst, project manager, or similar role with significant cross-functional stakeholder engagement. Experience working alongside IT or technology teams is strongly preferred. Demonstrated, hands-on daily use of AI tools (Claude, ChatGPT, Copilot, or equivalent) may offset traditional experience requirements for exceptional candidates.

KNOWLEDGE, SKILLS & ABILITIES:

  • Demonstrated, hands-on proficiency using AI tools (Claude, ChatGPT, Microsoft Copilot, or similar) to produce professional-quality documents, analyses, executive presentations, and communications.
  • Exceptional written communication skills — ability to craft compelling, concise executive narratives from complex technical and operational concepts.
  • Process analysis and workflow documentation skills: ability to map current-state business processes, identify friction points and waste, and articulate clear future-state requirements.
  • Familiarity with enterprise platforms such as ServiceNow, Microsoft 365, or ERP systems at a functional user level — sufficient to understand integration potential and data flows.
  • Working understanding of AI/ML concepts including large language models, autonomous agents, automation, and data pipelines — sufficient to hold credible conversations with both engineers and executive leaders.
  • Understanding of AI security and responsible use considerations: data privacy, access control, appropriate use policies, and the importance of organizational AI governance guardrails.
  • Excellent stakeholder management, facilitation, and meeting leadership skills — comfortable leading discovery workshops with both technical and non-technical audiences.
  • Highly organized with the ability to manage a portfolio of parallel initiatives across different business units and stages of maturity.
  • Self-starter mentality — comfortable in a fast-moving, emerging-practice environment where the playbook is being written in real time.
  • Genuine intellectual curiosity about AI and automation, evidenced by personal experimentation, self-directed learning, or a clear track record of bringing AI tools into previous work.

CERTIFICATIONS/LICENSURE:

  • PMP, CBAP, or Lean Six Sigma Green/Black Belt is a plus. Microsoft AI Fundamentals (AI-900) or similar AI literacy certification is desirable and supported. An appetite for continuous learning in AI is essential.
About UsLifepoint Health is a leader in community-based care and driven by a mission of Making Communities Healthier. Our diversified healthcare delivery network spans 29 states and includes 63 community hospital campuses, 32 rehabilitation and behavioral health hospitals, and more than 170 additional sites of care across the healthcare continuum, such as acute rehabilitation units, outpatient centers and post-acute care facilities. We believe that success is achieved through talented people. We want to create places where employees want to work, with opportunities to pursue meaningful and satisfying careers that truly make a difference in communities across the country. About the TeamWe employ and provide care to people from all walks of life. We are committed to promoting healing, providing hope, preserving dignity and producing value with an inclusive workforce in which diversity is leveraged, respected, and reflective of the patients, family members, customers and team members we serve.

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