Program Manager (MD), Human Data Operations

What you’ll do

• Own Project Execution, Contract Handoff to Final Delivery
• Be the single operational lead for the delivery pods you own, carrying each program from intake through staffing, execution, quality review, and customer sign-off.
• Build and coordinate project teams, including clinical and other specialized subject-matter experts.
• Establish project plans, staffing models, timelines, communication cadences, and risk mitigation plans.
• Monitor project performance, utilization, throughput, quality metrics, and budget performance.
• Apply clinical judgment where appropriate to support project design, expert guidance, quality review, and escalation decisions.
• Manage Customer Relationships & Delivery Milestones
• Manage customer expectations and delivery milestones throughout the engagement lifecycle.
• Lead internal project meetings, status reviews, and customer-facing reporting cadences.
• Serve as a credible clinical and operational partner on programs where medical expertise is relevant.
• Identify expansion opportunities and surface operational improvements to leadership.
• Build Quality & Operational Systems
• Define what “good” means for the programs you own and establish the quality controls and QA processes that measure it.
• Help ensure medically or clinically oriented programs reflect appropriate clinical judgment and domain expertise.
• Set annotation and human-data quality standards that are consistent, auditable, and humane for the people doing the work.
• Build scalable operational systems that improve project visibility, quality, or throughput across the Human Data team.
• Capture Inputs from Customers & Delivery Teams
• Partner with pre-sales and customer-facing teams to translate customer requirements into executable delivery plans.
• Bring clinical and front-line delivery insights into capacity planning and operational improvement.
• Turn what you learn into systemic improvements rather than one-off workarounds.
• Be the Connective Tissue
• Keep Human Data, QA, Engineering, Product, Research, Customer Success, and clinical/domain experts aligned on what is being delivered and why.
• Translate between clinical, operational, technical, and commercial perspectives so the right tradeoffs get made.
• What you’ll accomplish
• In your first 60–90 days you’ll...
• Build a deep understanding of mpathic’s human data, AI safety, red teaming, evaluation, annotation, QA, and reporting workflows, and develop a clear picture of how work flows from contract handoff to final delivery.
• Shadow and then take ownership of one or more active client programs—driving timelines, deliverable tracking, staffing coordination, risk management, and stakeholder communication.
• Apply your medical and clinical expertise to help inform program execution, quality standards, expert workflows, and customer deliverables where appropriate.
• Become proficient in the systems, tools, trackers, reporting mechanisms, and communication workflows used across projects.
• Establish trusted working relationships with leadership, execution teams, customers, and stakeholders internally and externally.
• Begin identifying operational bottlenecks, process gaps, and opportunities for improvement.
• In your first year you’ll...
• Own end-to-end delivery planning, staffing, execution, quality management, and reporting for multiple concurrent customer engagements.
• Coordinate cross-functional project pods consisting of clinical and domain experts, annotators, reviewers, red teamers, QA personnel, researchers, engineers, and data scientists.
• Use your clinical background to strengthen programs involving healthcare, mental health, AI safety, clinical reasoning, or other medically relevant domains.
• Build scalable systems that improve project visibility, quality, throughput, or operational efficiency.
• Partner with executives and functional leaders to forecast capacity and support business growth.
• Contribute to customer expansion opportunities through exceptional delivery and stakeholder management.
• Help define how program management scales at mpathic as the platform and team grow.
• As business and program needs evolve, have the opportunity to expand the scope and hours of the position, including the potential to transition into a full-time role.
• You’ll thrive in the role if:
• Hold an MD degree and are interested in applying your medical training and clinical judgment to AI safety, evaluation, and human data programs.
• Translate ambiguity into execution: you can take a complex, evolving customer program and turn it into a clear project plan, staffing model, and risk-managed delivery path.
• Bring operational rigor and strong judgment and can proactively identify risks before they impact delivery commitments.
• Can move comfortably between clinical subject-matter expertise and operational leadership, understanding when clinical judgment should inform project design, quality standards, or escalation decisions.
• Have designed or managed annotation workflows, QA processes, expert-driven data programs, clinical programs, research programs, or similarly complex operations.
• Understand—or are excited to develop deep expertise in—modern AI evaluation, red teaming, and human-in-the-loop concepts and how to operationalize them into repeatable, measurable workflows.
• Are comfortable with high-stakes, sensitive subject matter such as AI safety, healthcare, mental health, red teaming, and trust & safety, and bring care for both customers and the teams doing the work.
• Communicate crisply across project plans, status updates, and escalation paths and can align distributed teams around ownership and timelines without relying on authority.
• Are energized by being the connective tissue across Human Data, QA, Engineering, Product, Research, and Customer Success teams.
• Have delivered complex programs in operational, clinical, research, healthcare, technology, or related environments. Experience in AI safety, LLM evaluation, healthcare technology, clinical AI, or trust & safety operations is a strong plus.
• Role details
• Education: MD required
• Schedule: Part-time to start
• Growth Potential: Opportunity to transition to full-time based on business needs, program growth, and mutual fit
• Focus: Program management, AI safety and evaluation, human data operations, and clinical/domain expertise