Senior Process Engineering Specialist

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.

Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

Inovalon is creating a Process Engineering team to lead and deliver a firmwide program that will document, optimize, enhance control standards and continually improve all execution processes and supporting systems. This Process Engineering Specialist role will be responsible for discovering, documenting, optimizing, including identifying automation opportunities, and designing effective operational controls for business processes across Inovalon. This role serves as a key contributor to enterprise operational excellence and business transformation initiatives by partnering with leaders and teams across Customer Success, Operations, Product, Technology, Resources, and Corporate Functions.

The successful candidate will work as part of a cross functional team to analyze and document current-state operations, define optimized process designs, identify automation opportunities, and lead AI-enabled process transformation initiatives. They will also ensure existing operational controls are effective, and implement new controls as required. This role combines process engineering, continuous improvement, automation strategy, and AI transformation to help Inovalon build a highly efficient, scalable, and data-driven operating model.

This role is expected to serve as a key driver of Inovalon's enterprise operational excellence strategy, leading the identification, optimization, automation, and AI-enabled transformation of critical business processes across the organization.

Process Discovery & Documentation:

• Conduct enterprise-wide process discovery activities across business functions.
• Facilitate stakeholder interviews, workshops, and process assessment sessions.
• Document current-state and future-state processes using industry-standard methodologies and tools.
• Develop and maintain process maps, SOPs, workflows, RACI matrices, operational playbooks, and governance documentation.
• Establish and manage a centralized repository of business processes.
• Ensure process documentation remains current and aligned with evolving business needs.

Process Optimization & Operational Excellence:

• Analyze processes to identify bottlenecks, redundancies, risks, inefficiencies, and improvement opportunities.
• Design scalable operational processes that support company growth and business transformation.
• Partner with leadership teams to prioritize improvement initiatives based on business impact.
• Implement performance management frameworks to monitor process effectiveness.
• Drive standardization across departments to reduce variability and improve operational consistency.

Automation & Digital Transformation:

• Identify, evaluate, and prioritize opportunities to eliminate manual and repetitive activities and as needed replace with workflow automation.
• Lead discovery efforts to identify knowledge-based activities and decision-making processes suitable for AI augmentation.
• Develop business cases that quantify expected benefits and return on investment – customer experience, capacity, reduced resourcing, operational risk reduction, cycle time reduction and quality improvement.
• Partner with Technology, Product and Data teams to develop and deploy automation and AI-enabled capabilities.
• Define training and communications program that ensures sustainable adoption of new tooling and processes.
• Measure realized business value and adoption following automation implementation.
• Measure AI adoption, utilization, productivity gains, and business…