Interim Sr. Business Analyst

Interim Senior Business Analyst
- Data & AI About the Company

Korn Ferry is partnering with a confidential, large-scale healthcare services organization that works with hospitals and health systems to improve clinical and operational performance. The organization operates within a complex, highly regulated healthcare environment and is advancing enterprise initiatives across data, analytics, automation, and artificial intelligence.

The Interim Senior Business Analyst
- Data & AI will provide additional bandwidth translating business needs into clear, actionable requirements for Data & AI, IT, and delivery stakeholder groups.

Serving as a strategic partner to business leaders and the Data & AI organization, this individual will lead discovery, requirements definition, prioritization, and solution design for enterprise data, analytics, automation, and AI initiatives.

The role operates at the intersection of data products, analytics, AI innovation, business-process transformation, and stakeholder management. The Senior Business Analyst will help ensure that solutions deliver measurable business outcomes and are developed in alignment with enterprise data-governance standards and applicable HIPAA obligations.

• Lead enterprise discovery across operational and corporate business functions.
• Facilitate executive stakeholder workshops to identify analytics, automation, and AI opportunities.
• Translate business objectives into data-product roadmaps and delivery priorities.
• Identify opportunities to improve organizational decision-making through data-driven capabilities.

• Lead the development of business requirements, functional specifications, user stories, acceptance criteria, and process models.
• Define and document KPIs, metrics, business rules, AI use cases, and decision frameworks.
• Partner with Data Product Managers and delivery teams to prioritize initiatives.
• Maintain alignment between business objectives and technology solutions throughout the delivery lifecycle.

• Drive requirements for dashboards, self-service analytics, data products, and reporting solutions.
• Partner with Data Architects and Data Engineers to define data models and semantic layers.
• Support enterprise data-governance, data-stewardship, and business-glossary initiatives.
• Establish measurement frameworks for business-value realization.

• Evaluate business processes for AI and workflow-automation opportunities.
• Partner with AI Engineers to define prompts, business rules, guardrails, and success metrics.
• Lead AI use-case discovery, value assessment, and prioritization.
• Support responsible and compliant AI governance, adoption, and change enablement.

• Act as the primary business representative for major Data & AI initiatives.
• Manage communication across executives, business stakeholders, and technical teams.
• Facilitate backlog refinement, sprint planning, and initiative prioritization.
• Lead user-acceptance-testing strategy and execution.

• Define success metrics and outcome measurements for delivered solutions.
• Track and report realized business value.
• Develop executive-ready presentations, roadmaps, and business cases.
• Support portfolio planning and strategic prioritization.

• Bachelor's degree in Business, Information Systems, Analytics, Computer Science, Healthcare Administration, or a related field.
• At least seven years of business analysis, product analysis, analytics, or consulting experience.
• Demonstrated experience within healthcare-provider, hospital, or health-system environments.
• Proven success leading enterprise-scale discovery and requirements-definition efforts.
• Strong understanding of data warehousing, analytics, reporting, and business-intelligence concepts.
• Experience translating business strategy and operating needs into requirements that Data & AI, IT, and delivery teams can execute.
• Exceptional communication, facilitation, stakeholder-management, and executive-presentation skills.
• Ability to work remotely on a full-time schedule aligned with Eastern Time business hours.

• Experience with Snowflake, dbt, and Sigma Computing.
• Experience with Power BI, Salesforce, Workday, and AI/GenAI platforms.
• Direct experience supporting healthcare revenue cycle, workforce management, or clinical operations.
• Product-management or product-ownership experience.
• CBAP, PMI-PBA, Agile, or Scrum certification.
• Working knowledge of HIPAA and healthcare data governance.

• Business value delivered through Data & AI initiatives.
• Stakeholder satisfaction and adoption of delivered solutions.
• Quality, completeness, and actionability of requirements and solution definitions.
• Successful delivery of strategic programs and priorities.
• Measurable improvements in operational efficiency, decision quality, and AI…