AI-Driven Manufacturing Transformation Consultant

Accenture

Raleigh (NC)

On-site

USD 80,000 - 180,000

Full time

3 days ago

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Benefits offered by this job

Medical

Dental & Vision

Life Insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Consultant for Manufacturing and Operations transformation within our Life Sciences Supply Chain & Engineering practice, focusing on Data and AI transformation. You will produce data-driven analyses, design future-state processes, and deliver AI-enabled transformations across pharma, biotech, medical tech, and consumer health clients globally.

Work spans manufacturing, quality, and supply chain with emphasis on AX Design, AI integration, and senior-pr Practitioner

Qualifications

Minimum 3 years of experience in process excellence, process redesign, or management consulting
Minimum 1 year using AI-assisted analytics, visualization and Gen AI tools for content generation as well as low-fi user interfaces (UI)
Minimum 1 year of integrating AI and automating business process design
Minimum 1 year of experience delivering project work in consulting environment OR industry experience in Life Sciences, Consumer Goods Industrial, Energy, Utilities or Chemical and Natural Resources
Bachelor's degree or equivalent (minimum 12 years) work experience

Responsibilities

Be able to analyze client’s current state by assessing processes, technology tools and organizational structure with an intent to transform to a data and AI insight driven future state.
Design future-state process specifications covering AI integration points, operating model changes, human-machine interaction requirements, and workforce adoption approaches applicable to Life Sciences manufacturing and quality functions.
Conduct process analysis and support delivery of digital and platform solutions across operations.
Build analytical frameworks and data-driven assessments using AI-assisted visualization and analysis tools.
Develop change-impact assessments using AI-assisted organizational analysis tools.
Apply your industry or function knowledge to review and improve domain-specific reinvention designs and functional playbook content.
Contribute to the reference library and keep your domain expertise current through continuous learning.
Apply AX Design principles when specifying or reviewing AI integration designs — defining how AI agents should behave within each redesigned process step, what they handle autonomously, and when they hand off to a person.
Apply generative AI and agent-based modeling to accelerate scenario planning, exception management, and autonomous decision-making.
Define and implement AI-enabled supply chain control towers for real-time visibility, risk sensing, and proactive disruption management.
Collaborate with clients to deploy predictive maintenance, digital twins, and intelligent automation in manufacturing and distribution networks.
Translate business challenges into AI/ML use cases, build proof-of-concepts, and scale solutions to enterprise level.
Support data strategy, governance, and architecture to ensure high-quality, AI-ready supply chain data across ERP, PLM, MES, andlogisticsplatforms.
Bring Accenture’s AI ecosystem and partnerships (AWS, Microsoft Azure, Google Cloud, NVIDIA, data/ML vendors) to delivercutting-edgesolutions.
Deliver business case development and value realization frameworks, quantifying AI-driven cost reduction, service improvement, and sustainability impact.
Contribute to practice development, knowledge sharing, and mentoring of junior consultants in AI and supply chain transformation programs.