The Work: 
You produce data-driven analytical work — assessing trends and forces shaping your industry or function, designing future-state processes, and building the supporting materials that help senior practitioners shape transformation recommendations. You're developing real expertise in your domain and a point of view on how AI and automation can change the way it operates. You're comfortable working with structured guidance while taking on more with each engagement. 

You understand that  how AI agents and humans interact within processes — AX (Agentic Experience) Design — is just as important as the process design itself, and you're starting to apply those principles in your work. 

Accenture is seeking a Consultant for Manufacturing and Operations  transformation work within our Supply Chain & Engineering practice for Life Sciences with a focus on Data and AI transformation. We work with our pharmaceutical, biotech, medical technology, distributor and consumer health clients globally to redefine the future of the life sciences industry: combining the latest technology with scientific breakthroughs to revolutionize how medical treatments are discovered, developed and delivered to patients around the world.  

The role sits at the intersection of manufacturing, quality  and supply chain, and is responsible for delivering AI-enabled transformations for our clients and their patients.  
 
Key Responsibilities: 

Utilize relevant AI tools across all tasks and deliverable creation, including the creation of low-code proof of concepts (POCs), agents and other  artifacts that  facilitate: 

• 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.

At a Consultant level within Life Sciences Supply Chain and Engineering, key project responsibilities could include: 

• 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, and logistics platforms.  

• Bring Accenture’s AI ecosystem and partnerships (AWS, Microsoft Azure, Google Cloud, NVIDIA, data/ML vendors) to deliver cutting-edge solutions.  

• 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.  

Travel Requirements:

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