Digital Manufacturing Enterprise AI Value Strategy Senior Manager | Life Sciences
accentureIrving (TX)
Digital Manufacturing Enterprise AI Value Strategy Senior Manager | Life Sciences
Posted today
accentureIrving (TX)
SENIORITY
Manager
About the role
Overview:
In this role you drive AI and data transformation for Life Sciences manufacturing, shaping enterprise AI strategies and roadmaps that translate data into measurable value. You’ll advise C-suite and operations leaders, lead large-scale programs, and embed responsible AI across transformations. Working at the intersection of manufacturing, engineering, and supply chain, you’ll build strong client relationships, originate new deals, and guide end-to-end delivery of AI-powered manufacturing initiatives. Compensation / Benefits medical, dental, vision, life, and long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Shape data and AI vision for reinvention and growth in Life Sciences Manufacturing Define data and AI strategy, data assets, and operating model to enable AI-first capabilities Assess AI/data maturity and blueprint technology, platform, and governance requirements Develop business case, investments, and roadmaps; embed Responsible AI and ecosystem partnerships Identify people, processes, and technologies to operationalize AI solutions Serve as trusted advisor to C-suite/operations/engineering; guide AI transformation from concept to commissioning Lead end-to-end manufacturing programs integrating engineering, supply chain, digital manufacturing, automation, and sustainability Design and deliver AI-powered manufacturing solutions (digital twins, automation, analytics, data platforms) and manage junior team execution Leverage Accenture’s AI ecosystem (AWS, Azure, Google Cloud, NVIDIA, data/ML vendors) to craft cutting-edge client solutions Build, mentor, and lead high-performing engineering and manufacturing transformation teams; contribute to capability development and GTM offerings Own portfolio financials, delivery quality, and risk management Travel up to 50% as required Key requirements ≥8 years of AI & Data experience (solutioning, design, or delivery) ≥8 years of high-value consulting experience with large-scale delivery and leadership of workstreams Strong experience leading senior-level stakeholder conversations (C-suite) Knowledge of Life Sciences manufacturing, quality, and supply chain is highly valued Engineering problem-solving mindset and ability to apply tech creatively to business problems Excellent program management, verbal and written communication skills Entrepreneurial drive to originate and shape new deals and GTM activities Experience with digital manufacturing platforms, factory IT/OT, digital twins, advanced automation Cloud/edge architecture certifications (AWS/Azure) and cloud experience (Azure or AWS) Experience working with EPCs and global delivery partners on large programs leadership stakeholder management collaboration AI/ML strategy and data strategy data mesh and data products semantic layers and AI-enabled manufacturing
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