Language Access Analytics Program Manager

Accountabilities • Lead the enterprise data, business intelligence, and analytics strategy for Language Services, establishing capabilities that support operational, financial, and strategic decision-making.

• Develop and manage enterprise dashboards, reports, KPIs, SLA metrics, utilization reporting, financial analytics, and data visualizations using tools such as Power BI, Excel, and SQL.

• Translate complex datasets into clear insights and actionable recommendations for senior leadership, functional leaders, and operational stakeholders.

• Establish and maintain data governance frameworks, reporting standards, data-quality controls, and processes that ensure accuracy, integrity, consistency, and security.

• Partner with functional teams to understand data needs, define meaningful metrics, and develop reporting solutions aligned with business priorities.

• Lead trend analysis, forecasting, predictive analytics, and advanced modeling to support strategic planning and operational optimization.

• Collaborate with IT and technical teams on ETL processes, data integration, data warehouse design, and platform connectivity.

• Support business cases and strategic investments through financial analysis, ROI modeling, impact assessments, and cost-optimization insights.

• Monitor and analyze language access equity, health outcomes, patient satisfaction, and other measures that demonstrate the effectiveness of interpreter and language access services.

• Train stakeholders in data literacy, dashboard interpretation, self-service reporting, and effective use of analytics tools.

• Manage ad hoc analytical requests and multiple concurrent analytics initiatives while maintaining quality and meeting demanding deadlines.

• Represent Language Services analytics in enterprise reporting, data governance, and cross-functional forums.

• Drive continuous improvement and adoption of emerging analytics approaches and tools to strengthen organizational data maturity.

Requirements

• Bachelor’s degree in data analytics, business intelligence, healthcare administration, or a related field; a Master’s degree in data science, business analytics, healthcare informatics, or a related discipline is preferred.

• 7+ years of progressive experience in data analytics, business intelligence, healthcare reporting, or a comparable field, with strong preference for extensive healthcare analytics experience.

• Expert proficiency in Microsoft Power BI, advanced Excel, SQL, and data visualization tools.

• Strong knowledge of enterprise data governance, data-quality management, reporting standards, and analytics platform administration.

• Advanced analytical capabilities, including trend analysis, forecasting, predictive modeling, and interpretation of operational, financial, and quality metrics.

• Demonstrated ability to transform complex data into concise business insights, strategic recommendations, and measurable actions.

• Experience with data integration, ETL processes, data warehousing, and connectivity between analytics platforms and enterprise systems.

• Strong stakeholder management skills and the ability to collaborate effectively with senior leaders, operational teams, technical teams, and diverse functional groups.

• Proven business case development capabilities, including ROI modeling, financial analysis, and impact assessment.

• Strong communication and presentation skills, with the ability to explain analytical findings clearly to audiences with varying levels of technical expertise.

• Strong project management and organizational skills, with the ability to manage multiple initiatives and high-volume requests under tight deadlines.

• Experience building enterprise analytics programs within healthcare operations is highly desirable.

• Familiarity with healthcare regulatory reporting and compliance analytics is preferred.

• Advanced statistical analysis and modeling experience is a plus.

• Experience with Python, R, or other data science tools is advantageous.

• Experience leading data literacy programs and developing self-service analytics capabilities is preferred.

• Data analytics, BI, Power BI, Tableau, SQL, healthcare analytics, or informatics certifications are valued.

• Demonstrated critical thinking, emotional intelligence, adaptability, and the ability to communicate effectively with individuals and groups.

• Ability to work independently in a remote environment while maintaining flexibility to collaborate with other organizational locations and teams as required.

Benefits

• Compensation: $51.05–$76.60 per hour, with placement within the range based on qualifications, skills, experience, and training.

• Full-time position with a standard Monday–Friday schedule, 8:00 a.m.–5:00 p.m.

• Remote work opportunity, with preferred locations in Georgia, Illinois, North Carolina, and Wisconsin; additional eligible U.S. states may be approved.

• Comprehensive health and welfare benefits, including medical, dental, vision, life insurance, and short- and long-term disability coverage.

• Paid time off programs and paid parental leave.

• Flexible Spending Accounts for eligible healthcare and dependent-care expenses.

• Defined contribution retirement plans with employer matching and additional financial wellness programs.

• Educational assistance to support continued professional development.

• Potential premium pay and incentive opportunities for eligible positions.

• Opportunities for annual compensation increases based on performance.

• Opportunity to contribute to healthcare access, equity, patient experience, and operational improvement through enterprise-scale analytics.

• Collaborative environment with opportunities to work across healthcare operations, technology, leadership, and data governance functions.

• Workplace accommodations are available for qualified individuals with disabilities in accordance with applicable requirements.

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