Definitive Healthcare

Machine Learning Engineer

• Help design and implement AI/ML systems that drive meaningful business outcomes
• Contribute to the development of end-to-end ML solutions, from data preparation and modeling to deployment and performance optimization
• Collaborate with product managers and engineering teams to support ML initiatives
• Help build and maintain data pipelines for large-scale datasets
• Support experimentation efforts, including A/B testing and model management
• Participate in prototyping and proof-of-concept development

Revenue Operations

• Utilize data analysis tools and business intelligence software to track revenue performance and trends
• Generate regular reports and insights on key revenue metrics to assist in strategic decision-making
• Collaborate with the executive and sales team to develop accurate revenue forecasts and projections
• Evaluate and enhance sales processes to drive efficiency and increase conversion rates
• Analyze pricing strategies and their impact on revenue generation and customer acquisition
• Collaborate with the product team to assess the performance of existing offerings and identify opportunities for new revenue streams
• Communicate analytic solutions to stakeholders and implement improvements and solutions

Revenue Operations Analyst

Manager

• Manage a portfolio of healthcare and agency clients as primary point of contact for Population Intelligence and Digital Audiences, ensuring satisfaction, retention, and renewal.
• Drive product adoption of the Population Intelligence platform and Digital Audiences to ensure customers realize value and achieve outcomes.
• Lead renewal and expansion efforts by identifying growth opportunities and aligning solutions with client goals.
• Monitor customer health and develop customer success plans to address risks and deliver measurable outcomes.
• Partner with agency teams to support campaign planning, audience activation, and performance optimization.
• Build strong relationships with agency clients to ensure seamless campaign execution and collaboration.
• Serve as a trusted advisor in audience targeting, campaign workflows, and compliance.
• Partner with agencies to identify budgets, upcoming campaigns, and translate healthcare insights into digital activation strategies.
• Streamline workflows to improve efficiency in audience activation and customer engagement.
• Develop case studies, training guides, and documentation to support customer enablement.
• Collaborate with internal teams (Sales, Media & Audience Strategy & Operations, Technical Delivery Consultants, Marketing, CXS) to deliver consistent high-value customer experience.
• Translate customer needs into actionable insights for product, marketing, and data science teams.

Digital Engagement Manager

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 Manager, Technical Project Management

• 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

Machine Learning Engineer

Revenue Operations Analyst

Digital Engagement Manager

Senior Manager, Technical Project Management

Senior Machine Learning Engineer