Senior Business Intelligence Specialist, Revenue Cycle

CVS Health•Monroeville, PA

About The Position

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. Key Responsibilities Strategic AI Planning & Solution Design: Partner with business leaders to identify where AI can improve efficiency, reduce manual effort, or enhance the financial performance of the revenue cycle. Translate business problems into practical AI‑enabled solutions and process improvements. Develop roadmap recommendations, change‑management plans, and business cases for AI adoption. Guide the organization in choosing the right AI tools, platforms, and approaches—prioritizing impact, usability, and scalability. Implementation Oversight & Program Delivery: Oversee AI initiatives from concept to delivery, ensuring clarity of requirements, timelines, and success criteria. Coordinate with technical teams (data, IT, analytics) to ensure solutions meet business needs without requiring the AI Lead to code or engineer systems. Ensure new AI solutions integrate smoothly with existing workflows and support operational excellence. Troubleshoot challenges, remove roadblocks, and ensure teams remain aligned throughout implementation. Leadership, Partnership & Communication: Serve as the main point of contact between business stakeholders and technical delivery teams. Clearly communicate the value, risks, limitations, and expected outcomes of AI initiatives in a non‑technical way. Foster a collaborative, innovative culture—helping teams adopt AI responsibly and confidently. Provide thought leadership to guide the organization’s broader AI strategy and maturity. Governance, Risk Management & Ethical Standards: Promote responsible AI use by ensuring projects align with data‑privacy, compliance, and industry standards. Support the development and enforcement of data governance practices. Anticipate risks related to AI solutions and work with cross‑functional teams to mitigate them. Continuous Improvement & Market Awareness: Stay current with emerging AI trends, best practices, and tools relevant to healthcare and RCM. Recommend new opportunities for automation or optimization as the business evolves. Regularly assess existing AI solutions for performance, accuracy, and long‑term sustainability.

Requirements

3+ years of experience in business intelligence, data analytics, consulting, or process optimization.
Experience supporting or advising on technology‑driven transformation programs.
Strong understanding of how AI and automation can enable business improvements (no deep coding required).
Effective communicator able to translate technical concepts into simple business language.
Experience working cross‑functionally with stakeholders in operations, finance, IT, or analytics.
Familiarity with Agile/SAFe delivery environments.
High School Diploma required; Bachelor’s degree preferred (Business, Healthcare, Informatics, Data/Analytics, or related fields).

Nice To Haves

Background or experience in healthcare, specialty pharmacy, or revenue cycle operations.
Prior leadership experience guiding teams or projects.
General knowledge of AI concepts (e.g., workflow automation, NLP, predictive analytics).
Exposure to tools such as Tableau, Power BI, SQL, or analytics platforms (not required to build models).
Experience participating in system integrations, data initiatives, or digital transformation efforts.

Responsibilities

Partner with business leaders to identify where AI can improve efficiency, reduce manual effort, or enhance the financial performance of the revenue cycle.
Translate business problems into practical AI‑enabled solutions and process improvements.
Develop roadmap recommendations, change‑management plans, and business cases for AI adoption.
Guide the organization in choosing the right AI tools, platforms, and approaches—prioritizing impact, usability, and scalability.
Oversee AI initiatives from concept to delivery, ensuring clarity of requirements, timelines, and success criteria.
Coordinate with technical teams (data, IT, analytics) to ensure solutions meet business needs without requiring the AI Lead to code or engineer systems.
Ensure new AI solutions integrate smoothly with existing workflows and support operational excellence.
Troubleshoot challenges, remove roadblocks, and ensure teams remain aligned throughout implementation.
Serve as the main point of contact between business stakeholders and technical delivery teams.
Clearly communicate the value, risks, limitations, and expected outcomes of AI initiatives in a non‑technical way.
Foster a collaborative, innovative culture—helping teams adopt AI responsibly and confidently.
Provide thought leadership to guide the organization’s broader AI strategy and maturity.
Promote responsible AI use by ensuring projects align with data‑privacy, compliance, and industry standards.
Support the development and enforcement of data governance practices.
Anticipate risks related to AI solutions and work with cross‑functional teams to mitigate them.
Stay current with emerging AI trends, best practices, and tools relevant to healthcare and RCM.
Recommend new opportunities for automation or optimization as the business evolves.
Regularly assess existing AI solutions for performance, accuracy, and long‑term sustainability.

Benefits

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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