Director Data, AI & Enterprise Business Systems

Interscripts, Inc.•Richmond, IN
•Hybrid

About The Position

We are seeking a strategic and technically experienced Director of Data, AI & Enterprise Business Systems to lead the people, platforms, and practices supporting data, analytics, automation, AI governance, and enterprise business systems. The Director will oversee a multidisciplinary portfolio spanning data and AI governance, data engineering and architecture, enterprise analytics including Epic Cogito, application integration, robotic process automation, test automation, and the Workday ERP platform. The role is approximately 70% strategic leadership and 30% hands-on technical depth, working closely with clinical, operational, financial, HR, IT, Information Security, and executive stakeholders to improve decision-making, strengthen governance, reduce manual effort, and increase trust in enterprise data and systems.

Requirements

  • Minimum 7 years of experience in data, analytics, enterprise applications, IT, or healthcare.
  • Minimum 5 years of leadership experience managing cross-functional teams, including managers or team leads.
  • Strong hands-on background in data warehousing, analytics, and visualization.
  • Experience with data architecture and scalable self-service data and reporting solutions.
  • Experience owning at least one enterprise platform through its full lifecycle, from selection or upgrade through steady-state support.
  • Strong strategic leadership, communication, problem-solving, and stakeholder management skills.
  • Ability to work effectively with executive, clinical, operational, financial, and technical stakeholders.
  • Bachelor's degree in business, mathematics, statistics, computer science, health informatics, or a related field, or equivalent experience.
  • Epic Cogito
  • Epic Caboodle
  • Epic Clarity
  • Enterprise data architecture and data warehousing
  • Business intelligence and enterprise analytics
  • Data governance and data management
  • Workday ERP
  • Workday Prism
  • HL7 / FHIR / APIs
  • Robotic Process Automation (RPA)
  • Automated and regression testing
  • AI/ML governance and monitoring
  • Cloud data platforms and consumption-based services
  • Data classification, retention, and enterprise data governance

Nice To Haves

  • Master's degree in a related field is preferred.
  • Provider-side healthcare experience with Epic, Cogito, Caboodle, and Clarity.
  • Workday ERP ownership across Finance, HCM, or Supply Chain.
  • Interface engine and healthcare integration experience, including HL7 and FHIR.
  • Experience building or managing an RPA program.
  • Experience with AI or machine learning models in production, including monitoring and governance.
  • Familiarity with the NIST AI Risk Management Framework or comparable AI risk frameworks.
  • Experience with cloud data platforms and consumption-based cloud services.
  • Epic Cogito certification.
  • Workday certification.
  • CHDA, CPHIMS, or cloud data platform certification.

Responsibilities

  • Develop and communicate the strategic roadmap, annual goals, and objectives for data, AI, automation, analytics, and enterprise systems.
  • Build and champion an Analytics & Insights Center of Excellence.
  • Lead cross-functional prioritization across business, clinical, and IT stakeholders.
  • Establish and manage enterprise data governance, including data definitions, ownership, stewardship, retention, and data classification.
  • Govern the intake, review, documentation, monitoring, and retirement of AI and machine learning models used for clinical and operational decisions.
  • Partner with Information Security on access controls, minimum-necessary requirements, and third-party data sharing.
  • Direct data engineering, data platforms, data architecture, enterprise data warehousing, and data archiving.
  • Own data pipeline reliability, load schedules, source-system inventories, data flows, and downstream dependencies.
  • Lead clinical and business analytics, including reporting, dashboards, self-service analytics, advanced analytics, and data science.
  • Own the Epic Cogito environment, including Caboodle and Clarity, report certification, and analyst enablement.
  • Ensure consistent and accurate reporting across Finance, Quality, Operations, and other business functions.
  • Support regulatory, quality, and value-based care reporting requirements.
  • Lead application integration and interface operations, including new builds, upgrades, monitoring, and troubleshooting.
  • Establish integration standards covering HL7, FHIR, and APIs.
  • Develop and manage the organization's RPA program, including process intake, development, deployment, and production support.
  • Lead automated testing and regression testing for enterprise applications, including Epic and Workday release cycles.
  • Own the Workday ERP platform roadmap, release adoption, configuration governance, security model, reporting, Prism content, and data feeds.
  • Partner with Finance, Human Resources, and Supply Chain on Workday-related business processes.
  • Provide coaching, mentoring, and strategic direction to managers and individual contributors.
  • Build cross-training and succession plans to ensure operational continuity across enterprise platforms.
  • Lead cross-functional projects from initiation through delivery and maintain quality throughout the project lifecycle.
  • Serve as an escalation point for complex production issues and manage stakeholder expectations.
  • Oversee change management and release governance across the portfolio.
  • Manage budgets, vendors, contracts, licensing, renewals, and technology investments across data, analytics, AI, RPA, and Workday.

Benefits

  • Business leaders being able to access trusted information without unnecessary reporting requests.
  • Consistent and reconciled measures across Finance, Quality, and Operations.
  • AI and predictive models having documented ownership, use cases, and monitoring.
  • Interface failures being identified through proactive monitoring.
  • RPA solutions delivering measurable efficiency and error reduction.
  • Workday releases being implemented on schedule with regression testing completed.
  • Effective budget, vendor, and technology management.
  • Strong team retention, development, and internal promotion.
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