Intern, Graduate Intelligent Automation Analyst

MVP Health CareSchenectady, NY
1d$18 - $25Hybrid

About The Position

Join Us in Shaping the Future of Health Care At MVP Health Care, our commitment to meeting the needs of our customers goes beyond our health plans. We’re shaping the future of health care—and as an intern, you’ll be part of it! Dive into a world of innovation, working alongside experienced professionals who are passionate about making a difference. This is more than an internship; it’s an opportunity to build skills, gain confidence, and make a meaningful impact while discovering what a career in a transforming industry can look like. What’s in it for you: Our internship program is designed to provide a comprehensive learning experience. Build Real Skills: Gain hands‑on experience, practical skills, and industry knowledge through meaningful work and targeted learning opportunities. Work on Impactful Projects: Contribute to real projects that support business priorities and address real‑world health care challenges. Grow Your Network: Connect with leaders, mentors, and fellow interns through networking events and everyday collaboration. Learn from Mentors: Receive guidance and feedback from experienced professionals who are invested in your growth. Give Back: Participate in community service initiatives and be part of an organization committed to making a difference. Support Your Well‑Being: Experience a supportive culture with programs that promote balance and well-being. Launch Your Career: Join an award‑winning, inclusive workplace and explore a future in a growing, evolving industry. As part of the MVP Health Care team, you already know our commitment to creating a healthier future for everyone through innovation, equity, and continuous improvement. MVP Operations is seeking a Graduate Intelligent Automation Analyst Intern to help design, evaluate, and govern AI-enabled workflows that support accuracy, compliance, and scalability across critical business functions. Why Continue to Grow with Us Apply advanced analytical and strategic skills to real-world health care operations Help shape MVP’s approach to responsible AI adoption and governance Partner with senior leaders across Operations, Payment Integrity, and Digital Gain experience balancing innovation, regulatory compliance, and operational risk Contribute to enterprise-scale transformation initiatives This role offers meaningful exposure to how AI strategy, risk management, and operational execution intersect in a regulated health care environment.

Requirements

  • Must be a full-time graduate student in good academic standing
  • Program focus in data analytics, information systems, operations management, public policy, health administration, computer science, or a related field
  • Availability to work full-time, hybrid (Monday–Friday, 37.5 hours per week)
  • Strong analytical, problem-solving, and critical thinking skills
  • Ability to assess risk, scalability, and performance of emerging technologies
  • Comfort working with cross-functional stakeholders and senior leaders
  • Strong written and verbal communication skills
  • Interest in AI governance, regulatory alignment, and operational strategy
  • Commitment to quality, accuracy, and customer-centered outcomes

Responsibilities

  • Partner with operational leaders to identify and prioritize high-impact AI and automation use cases (e.g., Payment Integrity)
  • Design multi-step, AI-assisted workflows that include Human-in-the-Loop (HITL) controls to ensure clinical and financial accuracy
  • Establish standards for AI outputs to align with CMS, NCQA, and state-specific regulatory requirements
  • Evaluate the performance, scalability, and ROI of AI-enabled solutions and recommend optimization opportunities
  • Develop standard operating procedures (SOPs defining how staff review, validate, and approve AI-generated content
  • Produce executive-level summaries assessing AI risks, potential biases, and mitigation strategies
  • Support governance efforts by mentoring undergraduate interns and promoting disciplined testing and documentation practices
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