{"id":3447273,"url":"https://alion.io/job/interscripts-director-data-ai-enterprise-business-systems","title":"Director Data, AI & Enterprise Business Systems","company":{"id":4429631,"name":"Interscripts","domain":"interscripts.com","url":"https://alion.io/company/interscripts","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Richmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":279000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FHIR","optional":false},{"name":"HL7","optional":false},{"name":"Machine Learning","optional":false},{"name":"NIST AI RMF","optional":true}],"status":"live","first_seen_at":"2026-10-29T08:55:49Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T08:44:46Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"DirectorData, AI & Enterprise Business Systems\nLocation: Richmond, Indiana\nWork Schedule: 9:00 AM-5:00 PM EST\nWork Arrangement: Hybrid\nReports To: VP/CIO\nPosition Overview:\nWe 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.\nThe 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.\nThe 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.\nKey Responsibilities:\nDevelop and communicate the strategic roadmap, annual goals, and objectives for data, AI, automation, analytics, and enterprise systems.\nBuild and champion an Analytics & Insights Center of Excellence.\nLead cross-functional prioritization across business, clinical, and IT stakeholders.\nEstablish and manage enterprise data governance, including data definitions, ownership, stewardship, retention, and data classification.\nGovern the intake, review, documentation, monitoring, and retirement of AI and machine learning models used for clinical and operational decisions.\nPartner with Information Security on access controls, minimum-necessary requirements, and third-party data sharing.\nDirect data engineering, data platforms, data architecture, enterprise data warehousing, and data archiving.\nOwn data pipeline reliability, load schedules, source-system inventories, data flows, and downstream dependencies.\nLead clinical and business analytics, including reporting, dashboards, self-service analytics, advanced analytics, and data science.\nOwn the Epic Cogito environment, including Caboodle and Clarity, report certification, and analyst enablement.\nEnsure consistent and accurate reporting across Finance, Quality, Operations, and other business functions.\nSupport regulatory, quality, and value-based care reporting requirements.\nLead application integration and interface operations, including new builds, upgrades, monitoring, and troubleshooting.\nEstablish integration standards covering HL7, FHIR, and APIs.\nDevelop and manage the organization's RPA program, including process intake, development, deployment, and production support.\nLead automated testing and regression testing for enterprise applications, including Epic and Workday release cycles.\nOwn the Workday ERP platform roadmap, release adoption, configuration governance, security model, reporting, Prism content, and data feeds.\nPartner with Finance, Human Resources, and Supply Chain on Workday-related business processes.\nProvide coaching, mentoring, and strategic direction to managers and individual contributors.\nBuild cross-training and succession plans to ensure operational continuity across enterprise platforms.\nLead cross-functional projects from initiation through delivery and maintain quality throughout the project lifecycle.\nServe as an escalation point for complex production issues and manage stakeholder expectations.\nOversee change management and release governance across the portfolio.\nManage budgets, vendors, contracts, licensing, renewals, and technology investments across data, analytics, AI, RPA, and Workday.\nRequirements\nMinimum 7 years of experience in data, analytics, enterprise applications, IT, or healthcare.\nMinimum 5 years of leadership experience managing cross-functional teams, including managers or team leads.\nStrong hands-on background in data warehousing, analytics, and visualization.\nExperience with data architecture and scalable self-service data and reporting solutions.\nExperience owning at least one enterprise platform through its full lifecycle, from selection or upgrade through steady-state support.\nStrong strategic leadership, communication, problem-solving, and stakeholder management skills.\nAbility to work effectively with executive, clinical, operational, financial, and technical stakeholders.\nBachelor's degree in business, mathematics, statistics, computer science, health informatics, or a related field, or equivalent experience.\nMaster's degree in a related field is preferred. Technical Requirements:\nEpic Cogito\nEpic Caboodle\nEpic Clarity\nEnterprise data architecture and data warehousing\nBusiness intelligence and enterprise analytics\nData governance and data management\nWorkday ERP\nWorkday Prism\nHL7 / FHIR / APIs\nRobotic Process Automation (RPA)\nAutomated and regression testing\nAI/ML governance and monitoring\nCloud data platforms and consumption-based services\nData classification, retention, and enterprise data governance\nPreferred Qualifications:\nProvider-side healthcare experience with Epic, Cogito, Caboodle, and Clarity.\nWorkday ERP ownership across Finance, HCM, or Supply Chain.\nInterface engine and healthcare integration experience, including HL7 and FHIR.\nExperience building or managing an RPA program.\nExperience with AI or machine learning models in production, including monitoring and governance.\nFamiliarity with the NIST AI Risk Management Framework or comparable AI risk frameworks.\nExperience with cloud data platforms and consumption-based cloud services.\nEpic Cogito Fundamentals certification.\nEpic Clarity Administration Certification\nEpic Clarity Data Model Certification.\nEpic Caboodle Administration Certification.\nEpic Caboodle Data Model Certification.\nWorkday certification.\nCHDA, CPHIMS, or cloud data platform certification.\nLeadership & Engagement Expectations:\nLead and mentor multidisciplinary teams across data, analytics, AI, integration, RPA, testing, and enterprise applications.\nEstablish clear priorities and accountability across multiple technology functions.\nPartner with clinical, operational, Finance, HR, Information Security, and executive leadership.\nDrive continuous improvement, automation, data quality, and operational efficiency.\nMaintain strong data confidentiality and comply with healthcare privacy and governance requirements.\nParticipate in change management, release governance, and enterprise technology planning.\nTravel between office, hospital, and other locations may be required.\nSuccess Measures:\nSuccess in this role will be measured by:\nBusiness leaders being able to access trusted information without unnecessary reporting requests.\nConsistent and reconciled measures across Finance, Quality, and Operations.\nAI and predictive models having documented ownership, use cases, and monitoring.\nInterface failures being identified through proactive monitoring.\nRPA solutions delivering measurable efficiency and error reduction.\nWorkday releases being implemented on schedule with regression testing completed.\nEffective budget, vendor, and technology management.\nStrong team retention, development, and internal promotion.\nWork Environment:\nHybrid work arrangement.\nExpected onsite presence 2-3 days per week, or more frequently based on business needs.\nNo regular weekend or holiday work.\nNo regular different-shift requirement.\nTravel may be required between Client locations.\nMust be able to communicate effectively with physicians, clinicians, regulatory agencies.\nAbility to walk throughout hospital and ambulatory client locations for meetings.\nAbility to lift up to 20 pounds occasionally.","description_format":"text","description_chars":7637,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Health Care","Information Security"],"lifecycle":[{"event":"open","at":"2026-10-29T08:55:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two 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