Digital Manufacturing Data & AI Consultant | Life Sciences

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 ough 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

WHO WE ARE  

We are Accenture 's   Supply Chain and Engineering   reinvention partner for Life Sciences . We embed innovation, intelligence, and   AI-native   operations   into the way the world designs, engineers, manufactures, and   distributes   products. We   serve Life Sciences clients across the   value chain to help bring   lifesaving   medicines and products to patients   through   harnessing the power of advanced   technologies.

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    t ransformation   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…