Director, Technical Project Management - Remote

UnitedHealth Group•Eden Prairie, MN

1d•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.

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

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