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Digital Manufacturing Transformation Consultant | Life Sciences

Posted today

SENIORITY

Manager

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About the role

Overview: In this role, you help life sciences clients reinvent manufacturing and quality functions through AI-driven transformations. You will analyze current state processes, design future-state operating models, and develop data-driven insights to guide senior practitioners. You’ll apply AX Design principles to specify agent-enabled interactions and collaborate with cross-functional teams to scale AI solutions. This position blends process expertise with AI/automation to improve outcomes across supply chains and manufacturing networks. Compensation / Benefits medical, dental, vision, life, long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities: Analyze client processes, technologies, and structures to define data- and AI-driven future states Design future-state processes and human–machine interaction requirements for Life Sciences manufacturing and quality functions Perform process analysis and support delivery of digital and platform solutions across operations Build analytical frameworks and AI-assisted visualizations for data-driven assessments Develop change-impact assessments using AI-enabled organizational tools Apply domain knowledge to refine reinvention designs and playbooks Contribute to knowledge base and continuous learning in AI and supply chain transformation Apply AX Design principles to specify AI integration and agent behaviors in redesigned processes Apply generative AI and agent-based modeling to accelerate scenario planning and automation Define AI-enabled supply chain control towers for real-time visibility and disruption management Collaborate with clients to deploy predictive maintenance, digital twins, and intelligent automation Translate business challenges into AI/ML use cases, build PoCs, and scale solutions to enterprise level Support data strategy, governance, and architecture to ensure AI-ready data across ERP, PLM, MES, and logistics platforms Leverage Accenture AI ecosystem (AWS, Azure, Google Cloud, NVIDIA) to deliver cutting-edge solutions Deliver business case development and value realization frameworks for AI-driven outcomes Contribute to practice development, knowledge sharing, and mentoring junior consultants
Key requirements: Minimum 3 years of experience in process excellence, redesign, or management consulting Minimum 1 year using AI-assisted analytics, visualization, and Gen AI tools for content generation and UI Minimum 1 year of integrating AI and automating business process design Minimum 1 year of consulting delivery experience or domain experience in Life Sciences, Consumer Goods, Industrial, Energy, Utilities, or Chemical/NR Bachelor's degree or equivalent work experience (12 years); associate degree requires 6 years of experience Travel up to 75% is required Strong analytical and problem-solving capabilities Excellent client-facing communication and structured recommendations Mentoring and knowledge sharing with junior consultants AI-assisted analytics and visualization Gen AI tools for content generation AI/ML use case translation and PoC development

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