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Accenture

Advises businesses and runs their technology

Physical AI Delivery Manager

Project ManagementConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • At least 5 years of professional experience, including at least 3 years in consulting, systems integration or client-facing delivery.
  • Practical experience in at least two relevant domains: robotics integration, industrial automation, digital twins, simulation, AI/ML deployment, computer vision, industrial data, edge/cloud or orchestration.
  • Experience managing a project workstream or technical module with responsibility for the plan, team, quality, risk, dependencies and stakeholder outcomes.
  • Experience translating operational challenges into measurable outcomes tied to throughput, productivity, quality, safety, capital or operating cost, commissioning risk, uptime or workforce effectiveness.
  • Ability to review technical designs, challenge assumptions, facilitate decisions and communicate implications to non-technical stakeholders.
  • Understanding of production-readiness practices, testing, change control, cybersecurity, safety and operational support in industrial environments.
  • Experience working with manufacturing, warehousing, logistics, engineering, data-center, laboratory or other asset-intensive operations.
  • A bachelor's degree or equivalent (minimum 12 years) work experience; if holding an associate degree, a minimum of 6 years of work experience is required.
  • Applicants for employment in the United States must have work authorization that does not now or in the future require visa sponsorship.

Responsibilities

  • Lead delivery workstreams across digital twins and simulation, robotics AI and training, robotic orchestration, industrial integration or related Physical AI domains.
  • Own workplans, milestones, staffing, budget, quality, dependencies, risks, decisions and client communications for the assigned scope.
  • Translate operational problems into requirements, use cases, target outcomes, delivery increments, acceptance criteria and value-realization measures.
  • Contribute to solution design, estimates, staffing models, implementation roadmaps, proposals, statements of work and delivery mobilization.
  • Coordinate engineers, architects, industry subject matter experts, data and AI teams, cloud and edge teams, operational technology specialists, cybersecurity teams and ecosystem partners.
  • Provide design and delivery governance across architecture decisions, interfaces, testing, safety, operational technology security, responsible AI, human-in-the-loop controls and production readiness.
  • Guide teams through simulation, integration, hardware-in-the-loop, user acceptance, site acceptance, commissioning and transition-to-support activities as applicable.
  • Lead client workshops, playback sessions, steering updates, design reviews and executive decision discussions with business, operations, engineering, IT and OT stakeholders.
  • Manage engagement financials, including estimates, budget, forecast, staffing, scope change, partner dependencies and delivery margin.
  • Manage changes in scope and priorities while protecting client outcomes, technical integrity, delivery economics and team sustainability.
  • Identify follow-on opportunities grounded in demonstrated value and client needs and support shaping of the next phase.
  • Build reusable methods, delivery templates, reference patterns, test assets, lessons learned and onboarding materials.
  • Coach junior team members and create a delivery environment with clear ownership, engineering discipline and transparent escalation.
  • Travel as required for the role, potentially up to 75%.

Desired Qualifications

  • Hands-on experience with ROS 2, simulation tools, digital-twin platforms, industrial automation, AI/ML deployment, cloud/edge platforms or operational technology integration.
  • Experience with NVIDIA, Siemens, Dassault Systemes, PTC, Ansys, Rockwell, SAP, hyperscaler, robotics or automation ecosystems.
  • Experience supporting pursuit solutioning, estimates, proposals, client orals and commercial shaping.
  • Experience taking a proof of concept through pilot, production deployment and multi-site scale.
  • Industry process knowledge in manufacturing, warehousing, logistics, engineering, capital projects, data centers or life-sciences operations.
  • Project management, Agile, SAFe, Lean, Six Sigma, cloud, architecture, cybersecurity or relevant industrial technology certification.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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