Director of Data & Artificial Intelligence

Job Type Full-time Description

 

Who We Are!

nimble solutions, an Aquiline Capital Partners portfolio company, has over 20 years of specialized, surgical-focused revenue cycle management experience that spans across the ambulatory surgical center (“ASC”) industry and other affiliated services adjacent to the ASC space, such as anesthesia billing services, professional billing services, transcription services, and many others. We provide services in nearly every U.S. state, and our team of experts works around the globe, having managed over $10 billion in net collections as we continue to build and innovate a world-class organization with people like you.

Together, we embrace challenges, fuel innovation, and strive to exceed expectations.

Healthcare means a lot more to us. We care about creating an environment where our coworkers’, clients’, and communities’ social, financial, and physical health is at the forefront of everything we do.

From our cutting-edge technology to our endless opportunities for growth, we are a community of people who care deeply about our employees and their futures. We look forward to your thirst for learning, developing, and growing with our team.

The Role! 

We are seeking a visionary and dynamic Director of Data & Artificial Intelligence to lead our data and analytics strategy within the IT organization. This role is pivotal in transforming our RCM operations through advanced analytics, artificial intelligence, and data-driven decision-making. The ideal candidate is a strategic thinker, a collaborative leader, and a passionate advocate for innovation and continuous improvement.

What You'll Be Doing Day-to-Day: 

Leadership and Strategy:

• Develop and execute a comprehensive Data & AI strategy aligned with enterprise RCM goals
• Lead cross-functional teams of data scientists, engineers, analysts, and business stakeholders to deliver impactful solutions
• Champion a data-driven culture across the organization, promoting the value of analytics and AI in optimizing revenue cycle processes
• Collaborate with senior leadership to identify opportunities for automation, predictive modeling, and operational efficiency

Team Building & Development:

• Build, mentor, and manage a high-performing team of data and AI professionals
• Foster a culture of innovation, collaboration, and continuous learning
• Establish clear goals, performance metrics, and career development paths for team members

Technical & Operational Excellence:

• Oversee the design, development, and deployment of advanced analytics models, machine learning algorithms, and AI solutions tailored to RCM
• Ensure data integrity, governance, and compliance with healthcare regulations (e.g., HIPAA)
• Partner with IT infrastructure and data engineering teams to ensure scalable and secure data platforms
• Drive the adoption of modern tools and technologies for data visualization, automation, and real-time analytics

Stakeholder Engagement:

• Serve as a trusted advisor to RCM leadership, translating complex data insights into actionable strategies
• Lead change management efforts to ensure the successful implementation and adoption of data and AI initiatives
• Communicate effectively with technical and non-technical audiences, including executive leadership

Collaboration and Communication:

• Collaborate with other departments to align Data and AI initiatives with business goals
• Communicate effectively with stakeholders to provide updates on infrastructure projects and performance

Budget and Resource Management:

• Manage budgets and optimize resource utilization
• Ensure cost-effective solutions while maintaining high performance and security standards

Innovation and Trends:

• Keep abreast of emerging cloud technologies and trends
• Recommend and implement new tools and technologies to improve infrastructure operations

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field; Master’s or MBA preferred
• 10+ years of experience in data analytics, business intelligence, or AI, with at least 5 years in a leadership role
• Proven experience in healthcare revenue cycle management or related domains
• Strong understanding of data governance, machine learning, and cloud-based analytics platforms
• Exceptional leadership, communication, and stakeholder management skills
• Demonstrat