Physical AI Delivery Manager

Accenture PLC; Cincinnati (OH); On-site; USD 87,000 - 253,000; Full time

Job summary

Accenture plc is seeking a seasoned Physical AI Delivery and Solutioning Manager to lead client workstreams from discovery through mobilization and transition. You will guide engineering decisions, redesign operating workflows and manage stakeholders across IT, OT and business teams.

The role demands industry insight in robotics, automation and AI deployment, strong delivery discipline and the ability to balance scope, risk and value for diverse client engagements.

Qualifications

• 5+ years of professional experience, including at least 3 years in consulting, systems integration or client-facing delivery.
• Experience in at least two relevant domains: robotics integration, industrial automation, digital twins, simulation, AI/ML deployment, or related areas.
• Experience managing a project workstream with plan, team, quality, risk, dependencies and stakeholder outcomes.
• Experience translating operational challenges into measurable outcomes tied to throughput or uptime.
• Ability to review technical designs and communicate implications to non-technical stakeholders.
• Understanding production-readiness, testing, change control, cybersecurity and operational support in industrial environments.
• Experience in asset-intensive operations such as manufacturing, warehousing, logistics, or data-center environments.
• Bachelor's degree or equivalent work experience; if associate degree, minimum 6 years of experience.

Responsibilities

• Lead delivery workstreams across digital twins, robotics AI, orchestration and related Physical AI domains.
• Own workplans, milestones, staffing, budget, quality, risks and client communications.
• Translate problems into requirements, use cases, delivery increments and value measures.
• Contribute to solution design, estimates, staffing models and roadmaps.
• Coordinate engineers, SMEs, data/AI teams, cloud/edge, OT and cybersecurity teams.
• Provide governance across architecture decisions, interfaces, testing, safety and production readiness.
• Guide teams through simulation, integration, and deployment activities.
• Lead client workshops, design reviews and executive discussions with stakeholders.
• Manage engagement financials, including estimates, scope, budgets and margins.
• Identify follow-on opportunities grounded in demonstrated value for the next phase.

Skills

Robotics integration

Industrial automation

Digital twins

Simulation

AI/ML deployment

Edge/cloud

Orchestration

Project management

Education

Bachelor's degree or equivalent

Job description

We are:

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.

About the Physical AI Team:

Accenture combines strategy, digital twins and simulation, robotics intelligence, orchestration, industrial integration and managed operations to help clients scale autonomous and adaptive physical operations. Delivery requires technical credibility, industry understanding, consulting discipline and rigorous controls for production deployment.

The Work:

The Physical AI Delivery and Solutioning Manager leads client workstreams and small-to-medium Physical AI engagements from discovery and solution definition through mobilization, implementation, validation and transition. The role combines delivery accountability with sufficient technical depth to guide engineering decisions, enough industry understanding to redesign operating workflows, and the consulting capability to manage stakeholders, value, scope, risk and team performance.

Key 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 SMEs, data and AI teams, cloud and edge teams, OT specialists, cybersecurity teams and ecosystem partners.
• Provide design and delivery governance across architecture decisions, interfaces, testing, safety, OT 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 Requirements:

Travel is required for this role and could vary up to 75%

Here’s what you need:

• 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 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.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

Bonus Points If:

• Hands-on experience with ROS 2, simulation tools, digital-twin platforms, industrial automation, AI/ML deployment, cloud/edge platforms or OT 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.

Compensation at Accenture varies depending on a wide array of factors, which may include but is not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 10/25/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture

Role LocationAnnual Salary Range

• California$94,400 to $316,300
• Colorado$94,400 to $273,200
• Connecticut$94,400 to $273,200
• District of Columbia$100,500 to $291,000
• Illinois$87,400 to $273,200
• Maine$80,400 to $232,800
• Maryland$94,400 to $273,200
• Massachusetts$94,400 to $291,000
• Minnesota$94,400 to $273,200
• New York$87,400 to $316,300
• New Jersey$100,500 to $316,300
• Ohio$87,400 to $253,000
• Virginia$87,400 to $291,000
• Washington$100,500 to $291,000

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