Director, Technical Project Management - Remote

About the position Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. The Director of Technical Project Management will lead the successful delivery of complex, enterprise-scale AI and technology initiatives that are customer facing. This role is responsible for driving end-to-end program execution across AI product development, data science, platform engineering, and business integration teams. The ideal candidate brings solid technical fluency, deep program management expertise, and experience leading cross-functional teams to deliver AI-enabled solutions at scale. This leader will ensure strategic alignment, execution discipline, risk management, and measurable business outcomes. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Responsibilities

• AI Program & Delivery Leadership
• Lead portfolio-level AI and advanced analytics programs from ideation through deployment and scaling
• Partner with Data Science, Engineering, Architecture, Product, and Business leaders to deliver AI solutions aligned with enterprise strategy
• Establish delivery frameworks tailored for AI/ML lifecycle (model development, validation, MLOps, deployment, monitoring)
• Oversee roadmap planning, milestone tracking, dependency management, and release coordination
• Program & Project Governance
• Build and manage enterprise program structures, including steering committees, governance forums, and executive reporting
• Drive disciplined project management practices (Agile, SAFe, Hybrid, Waterfall as appropriate)
• Develop and maintain integrated program plans, risk registers, financial forecasts, and benefit realization tracking
• Ensure compliance with regulatory, data privacy, and model risk management standards
• Technical & AI Delivery Oversight
• Translate AI technical concepts into clear business language for executive stakeholders
• Ensure proper integration of AI solutions into production systems (APIs, cloud platforms, data pipelines)
• Partner with MLOps and DevOps teams to operationalize AI models with monitoring and retraining frameworks
• Support model validation, testing, and production readiness reviews
• Stakeholder & Executive Engagement
• Serve as primary delivery lead for executive sponsors
• Provide clear, concise executive reporting on progress, risks, and ROI
• Facilitate cross-functional alignment across IT, Product, Compliance, Security, and Operations
• Manage vendor and partner relationships for AI platforms and services
• Team Leadership & Capability Building
• Lead and mentor a team of technical project and program managers
• Establish AI delivery standards, templates, and playbooks
• Build scalable PMO practices tailored to AI and emerging technologies
• Promote a culture of accountability, transparency, and continuous improvement

Requirements

• 10+ years of experience in technical program or project management
• 5+ years of experience leading large-scale, cross-functional technology programs
• 5+ years of experience managing enterprise-level stakeholders and executive communications
• 3+ years of experience as a people manager
• 3+ years of experience delivering AI/ML, advanced analytics, or data platform initiatives
• 2+ years of experience with AI lifecycle (data sourcing, feature engineering, model training, validation, deployment, monitoring)
• 2+ years of experience working with cloud platforms (AWS, Azure, GCP)
• Ability to travel up to 25%25 for client meetings, workshops, and industry events

Nice-to-haves

• PMP, PgMP, SAFe, or Agile certifications
• Experience in regulated industries (healthcare, financial services, insurance)
• Demonstrated familiarity with MLOps, model governance, and AI risk management frameworks
• Demonstrated background collaborating with data scientists and machine learning engineers

Benefits

• a comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401k contribution

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