Senior Manager/ Associate Director - AI Leader

Job Title: Senior Manager/ Associate Director AI / ML Leader

Location: Bangalore / Hyderabad/ Vizag

Experience: 1218 years

About the Role

We are seeking an experienced Associate Director AI/ML Leader to lead ACNs AI-driven transformation programs. This role combines strategic vision, hands-on technical expertise, and a deep understanding of healthcare RCM processes. The leader will build AI/ML models that not only drive automation and analytics but also enable data-backed quality validation and decision support across our delivery operations.

Key Responsibilities

Design and deploy AI/ML models to automate and optimize RCM functions

Identify opportunities to optimize RCM processes through the implementation of AI-driven solutions.

Implement AI-driven quality check frameworks to validate accuracy, completeness, and compliance of operational outputs (e.g., claim validation, audit automation).

Develop predictive and prescriptive models that enhance accuracy, reduce rework, and leads to improvement in all departments.

Partner with operations and quality teams to integrate AI tools for real-time quality monitoring and exception handling.

Integrate AI capabilities into existing RCM tools and dashboards for enhanced decision-making and process transparency.

Ensure HIPAA, PHI, and data privacy compliance in all AI/ML applications and datasets.

Work closely with process excellence and compliance teams to ensure all AI solutions meet internal quality and regulatory standards.

Continuously track and improve model performance, accuracy, and operational impact through measurable KPIs.

What Youll Bring

1018 years of total experience, with at least 5 years in AI/ML leadership or applied data science roles.

Demonstrated success in AI/ML implementation within RCM, or healthcare analytics environments.

Expertise in machine learning, NLP, predictive modeling, and process automation.

Hands-on experience with Python, and cloud AI platforms (AWS, Azure, GCP).

Strong understanding of quality control, audit mechanisms, and data validation frameworks in healthcare.

Proven ability to translate business challenges into scalable AI/ML and analytics solutions with measurable ROI.

Excellent stakeholder management, influencing, and presentation skills.

Bachelors/ Mastersin Computer Science, Data Science, AI/ML, or a related quantitative field.