Vice President, Reporting and Data Analytics (AI)

Location: Remote, United States of America

Salary: $202,300–$250,000 per year; bonus eligible based on individual and company performance.

Company

hirify.global operates in a service-oriented industry and this role supports Personal Care Services data, reporting, and analytics capabilities.

What you will do

• Develop and execute the PCS data, reporting, and analytics strategy, including a multiyear roadmap for integrations, data quality, reporting modernization, business intelligence, advanced analytics, automation, and self-service capabilities.
• Lead data integration, source-to-target mapping, reporting architecture, data pipelines, interfaces, warehouses, data marts, APIs, master-data solutions, and business intelligence platforms.
• Oversee executive, operational, financial, workforce, compliance, payor, market, and branch-level reporting, including standardized KPIs, dashboards, business glossaries, data lineage, and governed self-service reporting.
• Analyze caregiver capacity, scheduling, labor utilization, referrals, service delivery, payor mix, reimbursement, revenue leakage, contribution margins, forecasting, and scenario planning.
• Establish data governance, quality standards, reconciliation controls, exception reporting, audit readiness, and compliance support for EVV, billing, payroll, authorizations, and state- and payor-specific requirements.
• Lead PCS teams, budgets, vendors, backlogs, system implementations, integrations, acquisitions, migrations, delivery standards, and cross-functional performance improvement initiatives.

Requirements

• Bachelor’s degree in Analytics, Information Systems, Computer Science, Data Science, Business, Finance, Healthcare Administration, or a related field, or equivalent relevant professional experience.
• 12+ years of progressive experience in data, analytics, reporting, business intelligence, data integration, data governance, healthcare operations, or related disciplines.
• 5+ years of progressive people leadership, including leadership of cross-functional teams or business intelligence, analytics, or operational performance functions.
• 5+ years leading data, reporting, business intelligence, integration, analytics, or data-driven operational performance initiatives in complex, multi-system organizations.
• Demonstrated success implementing KPIs, executive dashboards, forecasting or profitability models, and technology-enabled process improvements in complex, multi-site operations.
• Experience partnering with IT, data engineering, Finance, and operational stakeholders to translate business requirements into reliable data solutions and measurable outcomes.
• Deep knowledge of enterprise reporting, business intelligence, data integration, source-to-target mapping, data quality, data governance, master data, and KPI design.
• Strong understanding of healthcare or home-based care operations, workforce and financial performance measures, and forecasting methods.
• Ability to translate complex operational, workforce, clinical, and financial data into executive recommendations, business cases, and measurable improvement initiatives.
• Strong technical understanding of data transformation, lineage, dimensional modeling, semantic layers, data warehouses, APIs, interfaces, reporting platforms, privacy, and security controls.
• Demonstrated ability to lead cross-functional transformation, manage competing priorities, influence executives, and drive adoption of standardized processes and analytics.

Nice to have

• Leadership experience in personal care services, home health, home and community-based services, managed care, or similarly complex healthcare delivery operations.
• Knowledge of Medicaid reimbursement, EVV, caregiver workforce dynamics, payor contracts, and state-specific reporting requirements.
• Experience with operational transformation, market expansion, acquisitions or integrations, Lean Six Sigma, predictive modeling, automation, or AI use cases.
• Advanced degree or relevant continuous improvement certification.
• Experience directly managing data engineering teams.

Culture & Benefits

• Remote full-time position with primarily seated work and extensive computer and telephone use.
• Medical, dental, and vision insurance, life insurance, AD&D, flexible spending accounts, and disability coverage.
• 401(k) retirement savings plan with company match.
• Paid time off and paid parental leave.
• Tuition reimbursement and employee discounts.