Digital Manufacturing Enterprise AI Value Strategy Senior Manager | Life Sciences
Quick Summary
Data and AI -Led Reinvention for Life Sciences Manufacturing Shape vision and create opportunities for data & AI led business reinvention.
Travel is required for this role and could vary up to 50%. Here's what you need: Minimum 8 years of AI & Data experience — including solutioning, designing,
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 50%.
Requirements
~1 min read- Minimum 8 years of AI & Data experience — including solutioning, designing, or delivering AI & Data projects
- Minimum 8 years of high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines or relevant industry / functional experience
Nice to Have
~1 min read- Hybrid experience both in consulting and in Life Sciences industry.
- Familiarity with digital manufacturing platforms, factory IT/OT, digital twins, and advanced automation.
- Expertise in big data technologies, ontology, AI/ML framework
- Experience in architecting for use cases in Manufacturing
- Certification in cloud and edge architecture (AWS certified solution architect and/or Azure solution architect expert)
- You have Azure or AWS cloud experience
- You have knowledge of edge and cloud capabilities
- Background working with or managing EPCs and global delivery partners in large scale programs.
- Experience leading senior-level (C-suite) conversations or managing senior-level stakeholders
- Engineering problem-solver mindset — ability to apply technology creatively to complex business problems
- Strong program management and verbal and written communication skills
- Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities
- Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients
- Strong understanding across Life Sciences manufacturing, quality and supply chain
- Strong understanding of modern data and AI strategy, including data mesh, data products, semantic layers and how these foundations enable AI-driven manufacturing use cases
- Understanding of GxP and regulatory considerations in pharma manufacturing, and how they shape data and AI solutions
What We Offer
~4 min readVisit us at www.accenture.com
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Requesting An Accommodation
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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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