Strategic Project Lead - Healthcare

Accountabilities • Strategic Project Leadership:  Own complex healthcare and medical AI data programs from solution design through delivery, ensuring projects meet customer objectives, quality expectations, feasibility requirements, and cost considerations.

• Customer & Stakeholder Management:  Build strong relationships with customers and internal stakeholders, translating ambiguous business and clinical requirements into clear project specifications and actionable plans.

• Solution Design:  Help shape data programs and workflows that support AI model training, evaluation, and other emerging healthcare use cases.

• Program Scaling:  Turn successful pilots and emerging use cases into scalable projects by defining workflows, expert requirements, operating models, and quality standards.

• Clinical & AI Collaboration:  Partner with researchers, clinical experts, and global delivery teams to ensure programs are grounded in healthcare expertise while meeting the technical and operational needs of AI development.

• Delivery Excellence:  Coordinate multidisciplinary and geographically distributed teams, proactively identifying risks, resolving challenges, and maintaining delivery momentum in a rapidly evolving environment.

• Quality & Feasibility:  Establish and monitor appropriate quality standards while balancing clinical requirements, project feasibility, scalability, and cost.

• Continuous Improvement:  Identify opportunities to improve processes, delivery models, and data workflows as AI technologies and customer needs evolve.

Requirements

• Healthcare Experience:  2+ years of experience in clinical practice, healthcare, medical research, life sciences, or a closely related field.

• Project Leadership:  Demonstrated experience leading complex projects, programs, or multidisciplinary teams, ideally in environments involving multiple stakeholders and evolving requirements.

• Stakeholder Management:  Strong ability to work with diverse stakeholders and translate unclear or complex requirements into structured specifications, priorities, and execution plans.

• Analytical Thinking:  Ability to assess complex problems, balance quality, feasibility, and cost considerations, and make sound decisions in ambiguous situations.

• AI & Data Exposure:  Familiarity with AI/ML companies, AI research environments, data annotation or evaluation programs, data pipelines, AI training workflows, model evaluation, or human-in-the-loop operations is a strong advantage.

• Technical & Data-Intensive Projects:  Experience managing technical, data-intensive, or other complex operational programs is preferred.

• Communication:  Excellent written and verbal communication skills, with the ability to collaborate effectively across clinical, technical, commercial, and operational teams.

• Adaptability:  Comfortable working in a fast-paced global environment where priorities, technologies, and AI capabilities evolve quickly.

• Collaboration:  Strong interpersonal skills, curiosity, accountability, and a practical approach to solving problems across multidisciplinary and geographically distributed teams.

Benefits

• Flexible remote working environment in the United States.

• Opportunity to work on complex healthcare and AI initiatives with global impact.

• Exposure to frontier AI companies, model developers, healthcare technology organizations, and emerging AI use cases.

• Collaboration with multidisciplinary teams spanning healthcare, research, technology, and global delivery.

• Access to tools, resources, and development opportunities to strengthen professional capabilities.

• An innovative, collaborative environment that values curiosity, accountability, quality, and continuous learning.

• Opportunity to contribute to AI training, evaluation, and data programs shaping the development of advanced AI systems.

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