Digital Manufacturing Data & AI Consultant

Accenture PLC; Atlanta (GA); On-site; USD 54,000 - 206,000; Full time

Job summary

Accenture PLC in the United States is seeking a consulting professional focused on AI-enabled process transformation for Life Sciences, Manufacturing, and related industries. You will analyze current-state operations, design future-state specifications, and pilot AI-driven improvements across ERP, MES, and supply chains.

The role emphasizes agentic AI, data strategy, and scalable enterprise-wide solutions, with extensive travel up to 75%.

Qualifications

• 3+ years in process excellence, process redesign, or management consulting
• 1+ year with AI-assisted analytics, visualization, and generative AI tools for content creation
• 1+ year integrating AI and automating business process design
• 1+ year delivering project work in a consulting environment or relevant industry experience
• Bachelor’s degree or 12 years of work experience in lieu of degree
• Travel up to 75% for role
• Preferred familiarity with process mapping or modeling tools
• Preferred ability to translate complex findings into clear business recommendations
• Preferred client-facing consulting experience
• Preferred fluency with AI tools and building agents for higher-quality solutions
• Preferred embedding of AI design principles into process specifications
• Preferred identifying where agentic AI can transform specific client steps
• Preferred use of AI-assisted analytics and benchmarking tools
• Preferred continuous learning with emerging AI tools
• Preferred expertise in big data, ontology, and AI/ML frameworks
• Preferred understanding of data mesh, data products, semantic layers enabling AI in manufacturing
• Preferred familiarity with digital manufacturing platforms, factory IT/OT, digital twins, advanced automation
• Preferred understanding of GxP and regulatory considerations in pharma manufacturing

Responsibilities

• We use AI tools across tasks including building low-code proofs of concept and agents
• We analyze client current-state processes, tools, and structures to define a data- and AI-driven future state
• We design future-state process specifications with AI integration points and workforce adoption plans
• We support digital and platform solution delivery across operations
• We build analytical frameworks and data-driven assessments using AI-assisted visualization
• We develop change-impact assessments using AI-assisted organizational tools
• We apply industry expertise to review reinvention designs and playbooks
• We contribute to knowledge sharing and continuous learning
• We apply AX Design principles for AI integration including agent behavior and handoffs
• We apply generative AI and agent-based modeling to speed up scenario planning and autonomous decisions
• We define AI-enabled supply chain control towers for real-time visibility and disruption management
• We collaborate with clients to deploy predictive maintenance, digital twins, and intelligent automation
• We translate business challenges into AI/ML use cases and scale solutions enterprise-wide
• We support data strategy, governance, and architecture for AI-ready data across ERP, PLM, MES, and logistics
• We leverage partnerships (AWS, Azure, Google Cloud, NVIDIA) to deliver advanced solutions
• We develop business cases and value realization frameworks quantifying AI-driven benefits
• We mentor junior consultants in AI and supply chain transformation

Skills

Process excellence

Process redesign

Management consulting

AI-assisted analytics

Generative AI tools

AI integration

Life Sciences domain

Data strategy

Data governance

Education

Bachelor's degree or equivalent

Associate degree with 6+ years experience

Tools

AWS

Azure

Big Data

Cloud

ERP

Machine Learning

AI Agents

UX UI Design

Job description

Salary: $54,400 - 205,800 per year

Requirements:

• We require at least 3 years of experience in process excellence, process redesign, or management consulting.
• We require at least 1 year of experience using AI-assisted analytics, visualization, and generative AI tools for content creation and low-fidelity user interfaces.
• We require at least 1 year of experience integrating AI and automating business process design.
• We require at least 1 year of experience delivering project work in a consulting environment or industry experience in one relevant domain, such as Life Sciences, Consumer Goods Industrial, Energy, Utilities, or Chemical and Natural Resources.
• We require a bachelors degree or equivalent, which may be met through 12 years of work experience.
• If you hold an associate degree, we require at least 6 years of work experience.
• Travel is required for this role and may be up to 75%.
• Preferred qualifications include familiarity with process mapping or process modeling tools.
• Preferred qualifications include strong analytical ability and the skill to communicate complex findings in clear business language and structured recommendations.
• Preferred qualifications include client-facing consulting or advisory experience.
• Preferred qualifications include fluent, independent use of AI tools, including building agents, to produce higher-quality solutions to business problems.
• Preferred qualifications include embedding AI design principles into process specifications, including agent behavior, autonomy levels, and handoffs.
• Preferred qualifications include identifying where agentic AI can transform specific client process steps and explaining the design implications.
• Preferred qualifications include using AI-assisted analytics, visualization, and benchmarking tools to ground future-state designs.
• Preferred qualifications include demonstrated continuous learning with emerging AI tools.
• Preferred qualifications include expertise in big data technologies, ontology, and AI/ML frameworks.
• Preferred qualifications include the ability to analyze data and translate findings into structured recommendations.
• Preferred qualifications include understanding of modern data and AI strategy, including data mesh, data products, semantic layers, and how these foundations enable AI-driven manufacturing use cases.
• Preferred qualifications include familiarity with digital manufacturing platforms, factory IT/OT, digital twins, and advanced automation, with experience architecting manufacturing use cases.
• Preferred qualifications include understanding of GxP and regulatory considerations in pharma manufacturing and how they shape data and AI solutions.

Responsibilities:

• We use relevant AI tools across all tasks and deliverable creation, including building low-code proofs of concept, agents, and related artifacts.
• We analyze clients current-state processes, technology tools, and organizational structures to define a data- and AI-driven future state.
• We design future-state process specifications that include AI integration points, operating model changes, human-machine interaction requirements, and workforce adoption approaches for Life Sciences manufacturing and quality functions.
• We conduct process analysis and support the delivery of digital and platform solutions across operations.
• We build analytical frameworks and data-driven assessments using AI-assisted visualization and analysis tools.
• We develop change-impact assessments using AI-assisted organizational analysis tools.
• We apply industry and functional expertise to review and improve reinvention designs and functional playbook content.
• We contribute to the reference library and keep our domain knowledge current through continuous learning.
• We apply AX Design principles when defining or reviewing AI integration, including agent behavior, autonomy, and human handoffs.
• We apply generative AI and agent-based modeling to speed up scenario planning, exception management, and autonomous decision-making.
• We define and implement AI-enabled supply chain control towers for real-time visibility, risk sensing, and proactive disruption management.
• We collaborate with clients to deploy predictive maintenance, digital twins, and intelligent automation across manufacturing and distribution networks.
• We translate business challenges into AI and machine learning use cases, build proofs of concept, and scale solutions enterprise-wide.
• We support data strategy, governance, and architecture to ensure high-quality, AI-ready supply chain data across ERP, PLM, MES, and logistics platforms.
• We leverage our AI ecosystem and partnerships, including AWS, Microsoft Azure, Google Cloud, NVIDIA, and data and ML vendors, to deliver advanced solutions.
• We develop business cases and value realization frameworks that quantify AI-driven cost reduction, service improvement, and sustainability impact.
• We contribute to practice development, knowledge sharing, and mentoring junior consultants in AI and supply chain transformation programs.

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• Big Data
• Cloud
• ERP
• Support
• Machine Learning
• AI Agents
• UX UI Design

More:

hackajob is collaborating with Accenture to connect exceptional professionals with this role. We are Accenture, a leading global professional services company helping the worlds leading enterprises reinvent their digital core and unlock the power of AI to create value at speed and scale. Within our Supply Chain and Engineering reinvention partner team for Life Sciences, we embed innovation, intelligence, and AI-native operations into how products are designed, engineered, manufactured, and distributed. This role sits at the intersection of manufacturing, quality, and supply chain, with a focus on data and AI transformation for pharmaceutical, biotech, medical technology, distributor, and consumer health clients worldwide. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Compensation varies by role, location, and experience, with salary ranges provided for multiple U.S. locations. The posting is expected to remain open until 10/05/2026.

last updated 41 week of 2026