Digital Manufacturing Transformation Consultant | Life Sciences
Quick Summary
Utilize relevant AI tools across all tasks and deliverable creation, including the creation of low-code proof of concepts (POCs),
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.
Responsibilities
~1 min readTravel is required for this role and could vary up to 75%
Requirements
~1 min read- 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 at least one domain (e.g., Life Sciences, Consumer Goods Industrial, Energy, Utilities or Chemical and Natural Resources)
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)
Nice to Have
~2 min read- Familiarity with process mapping or process modeling tools
- Strong analytical skills with the ability to communicate complex findings in clear business terms/structured recommendations
- Client-facing consulting or advisory experience
- Applies AI tools fluently and independently, including building agents, for higher-quality deliverables to business problems
- Embeds AI Design principles into process specifications (agent behaviors, autonomy levels, handoffs)
- Identifies where agentic AI can transform specific client process steps and articulates design implications
- Uses AI-assisted analytics, visualization, and benchmarking tools to ground future-state designs
- Demonstrated continuous learning with emerging AI tools
- Expertise in big data technologies, ontology, AI/ML framework
- Ability to analyze data and translate findings into structured recommendations
- Understanding of modern data and AI strategy, including data mesh, data products, semantic layers and how these foundations enable AI-driven manufacturing use cases
- Familiarity with digital manufacturing platforms, factory IT/OT, digital twins, and advanced automation. Experience in architecting for use cases in Manufacturing
- Understanding of GxP and regulatory considerations in pharma manufacturing, and how they shape data and AI solutions
Compensation at Accenture varies depending on a wide array of factors, which may include but are 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.
What We Offer
~4 min readVisit us at www.accenture.com
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Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
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Location & Eligibility
Listing Details
- Posted
- September 24, 2026
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 27, 2026
Signal breakdown
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