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CVS Health

Mgr, Business Analysis, Workforce Initiatives, Data & Analytics

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
13 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

CVS Health is seeking a strategic, data-driven Manager, Business Analysis, Workforce Initiatives, Data & Analytics to lead workforce intelligence and analytics initiatives that support enterprise workforce planning, talent pipeline development, program effectiveness, and business decision making.

This role is responsible for transforming Workforce Initiatives data into actionable business intelligence that improves participant outcomes, strengthens talent pipelines, drives operational efficiency, and informs enterprise workforce strategy. Sitting at the intersection of data analytics, business strategy, workforce planning, technology, and operational excellence, the Manager will convert complex data into meaningful insights that influence talent, operational, and organizational outcomes.

The successful candidate will serve as the business owner for the Workforce Initiatives data ecosystem, ensuring data quality, governance, reporting consistency, and scalability across key platforms including Workday, Applicant Tracking Systems (ATS), LearningHub, Sophia, and other enterprise technologies.

As a strategic partner to Workforce Initiatives leadership, Human Resources, Talent Acquisition, Operations, Finance, Information Technology, and external stakeholders, this leader will identify trends, uncover opportunities, measure program effectiveness, and provide analytics-driven recommendations that influence business strategy. The role will also drive the responsible adoption of AI-enabled analytics, automation, and reporting solutions that improve decision making, reduce manual effort, and enhance the stakeholder experience.

Key Responsibilities & Duties

Workforce Analytics Strategy & Business Intelligence (25%)

Lead the development and execution of workforce analytics and business intelligence strategies that support Workforce Initiatives programs and enterprise business objectives.

Translate complex workforce, operational, participant, and stakeholder data into meaningful insights and actionable recommendations.

Develop executive dashboards, scorecards, and key performance indicators that measure program success, workforce outcomes, community impact, and operational effectiveness.

Provide strategic guidance to leadership through data storytelling, workforce trend analysis, and performance reporting.

Identify opportunities to improve participant outcomes, strengthen talent pipelines, increase hiring conversion rates, and enhance organizational effectiveness through data-driven decision making.

Measure and report on Workforce Initiatives outcomes, including participant engagement, hiring conversions, workforce development program effectiveness, talent pipeline performance, apprenticeship outcomes, and community impact metrics.

Enterprise Data Management & System Integration (25%)

Serve as the business owner for the Workforce Initiatives data ecosystem and enterprise workforce reporting environment.

Lead enterprise data enhancement initiatives across Workday, Applicant Tracking Systems (ATS), LearningHub, Sophia, and related workforce technologies.

Establish and maintain data governance standards to ensure consistency, integrity, accuracy, security, and reporting reliability.

Partner with Human Resources, Information Technology, Operations, and external vendors to improve integrations and streamline data flows.

Develop scalable data architecture solutions that support evolving reporting and analytical needs.

Drive continuous improvement initiatives that enhance accessibility, usability, and scalability of workforce data.

Partner with technology teams to evaluate, implement, and optimize new platforms, integrations, and reporting capabilities that support business growth and operational excellence.

Advanced Analytics & Predictive Modeling (15%)

Develop and maintain the Workforce Initiatives Data Vault to support longitudinal workforce analysis, trend forecasting, and predictive analytics.

Utilize advanced analytical techniques to identify workforce risks, opportunities, and emerging trends.

Create models that evaluate workforce development program effectiveness, talent pipeline health, partner performance, hiring conversion rates, retention trends, and overall business impact.

Develop forecasting models that support workforce demand planning, participant conversion projections, capacity planning, and program investment decisions.

Support strategic workforce planning initiatives through predictive insights and scenario-based analysis.

Integrate internal and external data sources to improve forecasting accuracy and decision-making capabilities.

Reporting, Visualization & Performance Management (15%)

Design, develop, and maintain enterprise reporting frameworks using Power BI, Tableau, SQL, and other business intelligence tools.

Create automated dashboards that provide real-time visibility into workforce initiatives, performance metrics, participant outcomes, and operational trends.

Standardize reporting methodologies and performance measurement frameworks across programs to increase consistency and transparency.

Monitor performance indicators and workforce outcomes while providing recommendations for operational improvements and strategic adjustments.

Ensure reporting solutions meet business requirements while maintaining scalability, sustainability, and ease of use.

Automation, Process Optimization & Innovation (10%)

Lead automation initiatives that reduce manual effort, eliminate redundant processes, and improve operational efficiency.

Identify opportunities to leverage emerging technologies, AI-enabled tools, business intelligence solutions, and workflow automation capabilities.

Develop exception reporting and monitoring capabilities that proactively identify data quality concerns and operational risks.

Partner with stakeholders to redesign processes that reduce administrative burden and create measurable efficiencies.

Foster a culture of innovation through continuous improvement methodologies, automation, and technology adoption.

Stakeholder Partnership & Team Leadership (10%)

Serve as a trusted advisor to Workforce Initiatives leadership and enterprise stakeholders.

Build strong partnerships across Human Resources, Talent Acquisition, Learning & Development, Operations, Finance, Information Technology, and external partners.

Lead cross-functional projects from concept through implementation, ensuring delivery of measurable business value and sustainable outcomes.

Present findings, recommendations, and strategic insights to leadership and executive audiences.

Provide coaching, mentoring, and development support to team members while fostering a culture of accountability, curiosity, innovation, and continuous improvement.

Required Qualifications

Bachelor’s degree in business Analytics, Data Science, Information Systems, Statistics, Economics, Finance, Computer Science, Mathematics, or a related field.

5+ years of experience in Business Analytics, Workforce Analytics, Business Intelligence, Data Strategy, or related disciplines.

Demonstrated experience leading enterprise data initiatives, business intelligence projects, and reporting transformation efforts.

Advanced experience utilizing Power BI, Tableau, or related visualization and reporting platforms.

Strong SQL expertise, including data extraction, transformation, validation, and data management.

Experience working with large datasets, data governance frameworks, and data quality programs.

Prove

Original posting on CVS Health's site ↗

Listed on hirly, a job board. hirly is not the employer: CVS Health is hiring for this role.

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