Technical Project Manager (Data Scientist

EXL is seeking a Technical Project Manager to lead a strategic healthcare initiative focused on STARS performance and outcomes. The role involves driving a cross-functional program that integrates Machine Learning, Data Engineering, and data intelligence to enhance operational efficiency and decision-making.

Responsibilities:

• Lead end-to-end delivery of a data-driven healthcare initiative
• Manage and mentor a cross-functional team of ML engineers, data engineers, and BI developers
• Provide hands-on guidance in Machine Learning & Data Science, including model selection, feature engineering, and evaluation
• Support design and implementation of ML models (predictive, NLP, or advanced analytics)
• Ensure seamless integration of data pipelines, ML models, and Power BI dashboards
• Define and track KPIs, model performance metrics, and business outcomes
• Oversee MLOps practices including model deployment, monitoring, and retraining
• Collaborate with stakeholders to translate business needs into data science solutions
• Ensure data quality, governance, and scalable architecture
• Drive planning, prioritization, risk management, and timely delivery
• Promote adoption of data-driven insights and dashboards for decision-making

Requirements:

• Proven experience working with Medicare STARS metrics and performance improvement initiatives are essential
• 5+ Years of experience in AI/ML, Data Science, or Data Engineering roles with team leadership
• Strong understanding of Machine Learning and Data Science concepts, including model development, feature engineering, and evaluation
• Proficiency in Python and PySpark for large-scale data processing and model development
• Experience in building and managing end-to-end data pipelines (ETL/ELT)
• Experience with MLOps practices, including model deployment, monitoring, and lifecycle management
• Strong understanding of data quality, governance, and scalable data architecture
• Experience leading cross-functional teams including ML engineers, data engineers, and BI developers
• Exposure to visualization tools like Power BI and ability to connect insights to business KPIs
• Excellent communication and stakeholder management skills
• Strong analytical, problem-solving, and decision-making abilities
• Ability to translate complex business problems into data-driven AI/ML solutions
• Strong understanding of healthcare data and STARS metrics