Digital Manufacturing Data & AI Consultant

Salary: $54,400 - 205,800 per year Requirements: We require at least 3 years of experience in process excellence, process redesign, or management consulting. We require at least 1 year of experience using AI-assisted analytics, visualization, and generative AI tools for content creation and low-fidelity user interfaces. We require at least 1 year of experience integrating AI and automating business process design. We require at least 1 year of experience delivering project work in a consulting environment or industry experience in one relevant domain, such as Life Sciences, Consumer Goods Industrial, Energy, Utilities, or Chemical and Natural Resources. We require a bachelors degree or equivalent, which may be met through 12 years of work experience. If you hold an associate degree, we require at least 6 years of work experience. Travel is required for this role and may be up to 75%. Preferred qualifications include familiarity with process mapping or process modeling tools. Preferred qualifications include strong analytical ability and the skill to communicate complex findings in clear business language and structured recommendations. Preferred qualifications include client-facing consulting or advisory experience. Preferred qualifications include fluent, independent use of AI tools, including building agents, to produce higher-quality solutions to business problems. Preferred qualifications include embedding AI design principles into process specifications, including agent behavior, autonomy levels, and handoffs. Preferred qualifications include identifying where agentic AI can transform specific client process steps and explaining the design implications. Preferred qualifications include using AI-assisted analytics, visualization, and benchmarking tools to ground future-state designs. Preferred qualifications include demonstrated continuous learning with emerging AI tools. Preferred qualifications include expertise in big data technologies, ontology, and AI/ML frameworks. Preferred qualifications include the ability to analyze data and translate findings into structured recommendations. Preferred qualifications include understanding of modern data and AI strategy, including data mesh, data products, semantic layers, and how these foundations enable AI-driven manufacturing use cases. Preferred qualifications include familiarity with digital manufacturing platforms, factory IT/OT, digital twins, and advanced automation, with experience architecting manufacturing use cases. Preferred qualifications include understanding of GxP and regulatory considerations in pharma manufacturing and how they shape data and AI solutions. Responsibilities: We use relevant AI tools across all tasks and deliverable creation, including building low-code proofs of concept, agents, and related artifacts. We analyze clients current-state processes, technology tools, and organizational structures to define a data- and AI-driven future state. We design future-state process specifications that include AI integration points, operating model changes, human-machine interaction requirements, and workforce adoption approaches for Life Sciences manufacturing and quality functions. We conduct process analysis and support the delivery of digital and platform solutions across operations. We build analytical frameworks and data-driven assessments using AI-assisted visualization and analysis tools. We develop change-impact assessments using AI-assisted organizational analysis tools. We apply industry and functional expertise to review and improve reinvention designs and functional playbook content. We contribute to the reference library and keep our domain knowledge current through continuous learning. We apply AX Design principles when defining or reviewing AI integration, including agent behavior, autonomy, and human handoffs. We apply generative AI and agent-based modeling to speed up scenario planning, exception management, and autonomous decision-making. We define and implement AI-enabled supply chain control towers for real-time visibility, risk sensing, and proactive disruption management. We collaborate with clients to deploy predictive maintenance, digital twins, and intelligent automation across manufacturing and distribution networks. We translate business challenges into AI and machine learning use cases, build proofs of concept, and scale solutions enterprise-wide. We support data strategy, governance, and architecture to ensure high-quality, AI-ready supply chain data across ERP, PLM, MES, and logistics platforms. We leverage our AI ecosystem and partnerships, including AWS, Microsoft Azure, Google Cloud, NVIDIA, and data and ML vendors, to deliver advanced solutions. We develop business cases and value realization frameworks that quantify AI-driven cost reduction, service improvement, and sustainability impact. We contribute to practice development, knowledge sharing, and mentoring junior consultants in AI and supply chain transformation programs. Technologies: Agentic AI AI AWS Azure Big Data Cloud ERP Support Machine Learning AI Agents UX UI Design More: hackajob is collaborating with Accenture to connect exceptional professionals with this role. We are Accenture, a leading global professional services company helping the worlds leading enterprises reinvent their digital core and unlock the power of AI to create value at speed and scale. Within our Supply Chain and Engineering reinvention partner team for Life Sciences, we embed innovation, intelligence, and AI-native operations into how products are designed, engineered, manufactured, and distributed. This role sits at the intersection of manufacturing, quality, and supply chain, with a focus on data and AI transformation for pharmaceutical, biotech, medical technology, distributor, and consumer health clients worldwide. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Compensation varies by role, location, and experience, with salary ranges provided for multiple U.S. locations. The posting is expected to remain open until 10/05/2026. last updated 41 week of 2026 #J-18808-Ljbffr