Definitive Healthcare

Machine Learning Engineer

• At Definitive Healthcare, lead design and implementation of cutting-edge AI/ML systems delivering transformative business outcomes
• Take ownership of end-to-end ML solutions from architecture and modeling to production and performance optimization
• Lead design and implementation of scalable, production-grade ML systems in cloud environments focused on performance, reliability, and reproducibility
• Collaborate with product managers and senior stakeholders to define and prioritize ML initiatives aligned with business goals
• Oversee architecture and evolution of data pipelines for multi-terabyte datasets, ensuring efficiency and reliability
• Guide development of high-impact features and label sets across healthcare and consumer analytics domains
• Lead experimentation strategy including A/B tests, advanced validation methods, and lifecycle management using tools like MLflow and Databricks
• Drive continual model improvement through automated retraining, model decay analysis, and bias mitigation
• Champion rapid prototyping and proof-of-concept development to evaluate emerging technologies and ML techniques
• Lead technical explorations into new ML architectures (e.g., foundation models, causal inference, time series deep learning)
• Serve as technical leader and trusted advisor across product, engineering, data, and executive teams
• Set standards for code quality, performance, and documentation and mentor junior engineers in best practices

Senior Machine Learning Engineer

Project Manager

• Lead end-to-end technical project management for healthcare and life sciences data and analytics products
• Collaborate with cross-functional teams to define scope, goals, and deliverables
• Create detailed project plans and release strategies aligned with business priorities
• Ensure and mature agile development and technical project management practices; coach teams on process improvements
• Support day-to-day project development team activities
• Track progress, unblock issues, and provide project, program and executive-level insights on project status
• Supervise and mentor 2–3 Technical Project Managers; conduct regular check-ins, performance reviews, and development planning
• Establish and refine project management standards, templates, and best practices; foster a culture of accountability and continuous improvement
• Administer and optimize Jira workflows, boards, and configurations; enhance Jira usage including custom fields, automation, and reporting
• Support and improve Tempo time tracking integration within Jira
• Define and enforce delivery governance across projects and teams; develop and maintain standardized processes for project tracking, reporting, and documentation
• Ensure consistent application of agile methodologies and technical project management practices
• Contribute to software labor capitalization efforts by tracking and documenting qualifying work
• Support leadership in assessing team capacity and projecting future resource needs; coordinate with product and engineering leadership to ensure resource availability
• Facilitate communication across teams; create tailored reporting (including executive dashboards) for different stakeholder audiences
• Collaborate with stakeholders to gather requirements and provide regular updates
• Identify potential risks and challenges and develop/implement mitigation strategies to ensure successful delivery
• Foster a high-performing, collaborative culture within Product and Engineering and champion process rigor and continuous improvement initiatives

Senior Machine Learning Engineer

Senior Manager, Technical Project Management