Senior Manager, HR Analytics & Artificial Intelligence

HMSA; Honolulu (HI); Hybrid; USD 100,000 - 207,000; Full time

Job summary

HMSA is seeking an enterprise-wide leader for data analytics and AI initiatives across HR functions. You will own end-to-end accountability for consolidating HR data into a unified reporting framework and transform workforce data into strategic insights for talent strategy and organizational health.

You will govern responsible AI deployment and build a high-performing analytics team capable of delivering predictive, prescriptive, and generative AI solutions across the employee lifecycle, in a

Qualifications

• Bachelor's degree in Data Science, Statistics, Information Systems, Human Resources, Business, or a related analytical field and five years of progressive experience in data analytics, people analytics, or workforce intelligence, with at least three years in a healthcare or insurance environment; or an equivalent combination of education and experience.
• Five years hands-on experience with analytics tools and techniques: SQL, Python or R, BI platforms (Tableau, Power BI, or equivalent), and cloud data platforms.
• Three years building or managing data/analytics teams.
• Demonstrated experience developing or operationalizing predictive or machine learning models in a production environment.
• Experience with HR systems and people data (Workday, SAP SuccessFactors, or equivalent HRIS/HCM platforms).
• Intermediate working knowledge of Microsoft applications, including Word, Excel, Outlook, and PowerPoint.

Responsibilities

• Enterprise HR Analytics & AI Leadership: Lead HR analytics and AI initiatives across all HR functions, define an enterprise analytics roadmap, translate workforce data into executive-ready insights.
• AI & Advanced Analytics Development: Identify, evaluate, and responsibly deploy AI/ML models in HR, ensure transparency and compliance.
• Unified HR Data Platform & Integrated Reporting: Own HR analytics data infrastructure, consolidate data sources into a single reporting framework, deliver standardized reports and dashboards.
• Workforce & Organizational Analytics: Deliver insights on workforce planning, skills inventory, employee lifetime value, wellbeing analytics.
• Stakeholder Partnership & BI Delivery: Act as primary contact for HR analytics, partner with leaders to deliver standardized insights.
• Team Development & Analytics Capability Building: Recruit and develop a high-performing analytics team, foster continuous learning.

Skills

Leadership

Communication

Strategic thinking

Education

Bachelor's degree in Data Science/Statistics/IS/HR/Business

Tools

SQL

Python

R

Tableau

Power BI

Cloud data platforms

Workday

SAP SuccessFactors

Job description

• Hybrid Work Environment - Must reside on Oahu **

Employment Type

Full-time

Exempt or Non-Exempt

Non-exempt [Non-ex.]

Job Summary

• Hybrid Work Environment - Must reside on Oahu **

Serve as the enterprise-wide leader for all data analytics and AI initiatives across HR functions at HMSA. Own end-to-end accountability for consolidating disparate HR data sources into a unified, comprehensive reporting framework that delivers consistent, actionable intelligence for business consumption across all levels of the organization. Partner with HR and business leadership to transform workforce data into strategic insights that drive talent strategy, organizational effectiveness, and equitable outcomes. Govern responsible AI deployment, and build a high-performing analytics team capable of delivering predictive, prescriptive, and generative AI solutions across the full employee lifecycle.

Pay Range

$99,500 - $206,500, position is eligible for an incentive bonus

Note

Individuals typically begin between the minimum to middle of the pay range

Minimum Qualifications

• Bachelor's degree in Data Science, Statistics, Information Systems, Human Resources, Business, or a related analytical field and five years of progressive experience in data analytics, people analytics, or workforce intelligence, with at least three years in a healthcare or insurance environment; or an equivalent combination of education and experience.
• Five years hands-on experience with analytics tools and techniques: SQL, Python or R, BI platforms (Tableau, Power BI, or equivalent), and cloud data platforms.
• Three years building or managing data/analytics teams.
• Demonstrated experience developing or operationalizing predictive or machine learning models in a production environment.
• Experience with HR systems and people data (Workday, SAP SuccessFactors, or equivalent HRIS/HCM platforms).
• Intermediate working knowledge of Microsoft applications, including but not limited to Word, Excel, Outlook, and PowerPoint.

Duties And Responsibilities

• Enterprise HR Analytics & AI Leadership:
  • Serve as the single accountable leader for all data analytics and AI initiatives across every HR function -- including talent acquisition, performance management, compensation, learning & development, DEI&B, workforce planning, and employee experience. Define and drive the enterprise people analytics roadmap, evolving capabilities from descriptive reporting to diagnostic, predictive, and prescriptive analytics. Translate workforce data into executive-ready insights that inform HR strategy and organizational health decisions.
• AI & Advanced Analytics Development:
  • Lead the identification, evaluation, and responsible deployment of AI and machine learning models in HR -- including predictive attrition modeling, skills gap analysis, workforce planning forecasting, and generative AI tools. Ensure model transparency, fairness, and compliance with HIPAA and applicable regulations.
• Unified HR Data Platform & Integrated Reporting:
  • Serve as the functional owner of the HR analytics data infrastructure (including the Enterprise Data Platform, HRIS integrations, and BI tools). Lead the consolidation of all disparate HR data sources -- spanning HRIS, ATS, LMS, payroll, performance, engagement, and workforce planning systems -- into a single, comprehensive reporting framework. Design and deliver a standardized suite of HR reports and dashboards for business consumption at the executive, manager, and operational levels, ensuring consistent definitions, trusted data, and self-service access across the organization. Establish and enforce data governance, quality standards, and access policies in partnership with IT and Data Governance.
• Workforce & Organizational Analytics:
  • Deliver insights on workforce planning, succession risk, skills inventory, employee lifetime value, and wellbeing analytics. Support value-based care program analytics, quality payment models, and sponsor/pharmacy reporting. Partner with Finance, Medical Management, and Clinical Operations on provider and population health workforce analyses.
• Stakeholder Partnership & Business Intelligence Delivery:
  • Act as the primary point of contact for HR analytics and AI across the organization. Partner with HR leadership, Finance, Operations, and business unit leaders to understand reporting needs and translate them into a comprehensive, standardized set of reports and insights for business consumption. Champion analytics literacy, embedding data-driven practices into strategic planning and operational execution. Deliver compelling data presentations and narratives to audiences ranging from frontline managers to the executive team.
• Team Development & Analytics Capability Building:
  • Recruit, develop, and retain a high-performing HR analytics and AI team. Foster a culture of continuous learning, analytical thinking, and AI fluency. Build skill progressions across the team covering SQL, Python/R, ML fundamentals, prompt engineering, and business communication.
• Other Duties/Functions:
  • Performs all other miscellaneous responsibilities and duties as assigned or directed.