Language Access Analytics Program Manager
- Work arrangement
- Remote
- Occupation
- Product & Project Management
- Location
- US
- Compensation
- Not disclosed
- Apply by
- April 10, 2027
About this role
<h3>Accountabilities</h3><li>Lead the enterprise data, business intelligence, and analytics strategy for Language Services, establishing capabilities that support operational, financial, and strategic decision-making.</li><li>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.</li><li>Translate complex datasets into clear insights and actionable recommendations for senior leadership, functional leaders, and operational stakeholders.</li><li>Establish and maintain data governance frameworks, reporting standards, data-quality controls, and processes that ensure accuracy, integrity, consistency, and security.</li><li>Partner with functional teams to understand data needs, define meaningful metrics, and develop reporting solutions aligned with business priorities.</li><li>Lead trend analysis, forecasting, predictive analytics, and advanced modeling to support strategic planning and operational optimization.</li><li>Collaborate with IT and technical teams on ETL processes, data integration, data warehouse design, and platform connectivity.</li><li>Support business cases and strategic investments through financial analysis, ROI modeling, impact assessments, and cost-optimization insights.</li><li>Monitor and analyze language access equity, health outcomes, patient satisfaction, and other measures that demonstrate the effectiveness of interpreter and language access services.</li><li>Train stakeholders in data literacy, dashboard interpretation, self-service reporting, and effective use of analytics tools.</li><li>Manage ad hoc analytical requests and multiple concurrent analytics initiatives while maintaining quality and meeting demanding deadlines.</li><li>Represent Language Services analytics in enterprise reporting, data governance, and cross-functional forums.</li><li>Drive continuous improvement and adoption of emerging analytics approaches and tools to strengthen organizational data maturity.</li><h2>Requirements</h2><li>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.</li><li>7+ years of progressive experience in data analytics, business intelligence, healthcare reporting, or a comparable field, with strong preference for extensive healthcare analytics experience.</li><li>Expert proficiency in<strong>Microsoft Power BI, advanced Excel, SQL, and data visualization</strong>tools.</li><li>Strong knowledge of enterprise data governance, data-quality management, reporting standards, and analytics platform administration.</li><li>Advanced analytical capabilities, including trend analysis, forecasting, predictive modeling, and interpretation of operational, financial, and quality metrics.</li><li>Demonstrated ability to transform complex data into concise business insights, strategic recommendations, and measurable actions.</li><li>Experience with data integration, ETL processes, data warehousing, and connectivity between analytics platforms and enterprise systems.</li><li>Strong stakeholder management skills and the ability to collaborate effectively with senior leaders, operational teams, technical teams, and diverse functional groups.</li><li>Proven business case development capabilities, including ROI modeling, financial analysis, and impact assessment.</li><li>Strong communication and presentation skills, with the ability to explain analytical findings clearly to audiences with varying levels of technical expertise.</li><li>Strong project management and organizational skills, with the ability to manage multiple initiatives and high-volume requests under tight deadlines.</li><li>Experience building enterprise analytics programs within healthcare operations is highly desirable.</li><li>Familiarity with healthcare regulatory reporting and compliance analytics is preferred.</li><li>Advanced statistical analysis and modeling experience is a plus.</li><li>Experience with Python, R, or other data science tools is advantageous.</li><li>Experience leading data literacy programs and developing self-service analytics capabilities is preferred.</li><li>Data analytics, BI, Power BI, Tableau, SQL, healthcare analytics, or informatics certifications are valued.</li><li>Demonstrated critical thinking, emotional intelligence, adaptability, and the ability to communicate effectively with individuals and groups.</li><li>Ability to work independently in a remote environment while maintaining flexibility to collaborate with other organizational locations and teams as required.</li><h2>Benefits</h2><li>
<strong>Compensation:</strong>$51.05–$76.60 per hour, with placement within the range based on qualifications, skills, experience, and training.</li><li>Full-time position with a standard Monday–Friday schedule, 8:00 a.m.–5:00 p.m.</li><li>Remote work opportunity, with preferred locations in Georgia, Illinois, North Carolina, and Wisconsin; additional eligible U.S. states may be approved.</li><li>Comprehensive health and welfare benefits, including medical, dental, vision, life insurance, and short- and long-term disability coverage.</li><li>Paid time off programs and paid parental leave.</li><li>Flexible Spending Accounts for eligible healthcare and dependent-care expenses.</li><li>Defined contribution retirement plans with employer matching and additional financial wellness programs.</li><li>Educational assistance to support continued professional development.</li><li>Potential premium pay and incentive opportunities for eligible positions.</li><li>Opportunities for annual compensation increases based on performance.</li><li>Opportunity to contribute to healthcare access, equity, patient experience, and operational improvement through enterprise-scale analytics.</li><li>Collaborative environment with opportunities to work across healthcare operations, technology, leadership, and data governance functions.</li><li>Workplace accommodations are available for qualified individuals with disabilities in accordance with applicable requirements.</li>