Industry Solution Leader - High Tech Manufacturing (Semiconductor and Fuel Cell Fabrication)
C3 AI · Chicago, IL · 1 mo ago
On-siteManagement$130k–$203k/yrFull-time
We need to output HTML fragment with sections: About the role? The posting includes description. We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We have responsibilities listed. Qualifications listed. Preferred qualifications also. Benefits: "C3 AI provides excellent benefits, a competitive compensation package and generous equity plan." That's generic but it's a statement about benefits. Should we include Benefits section? It says "excellent benefits, a competitive compensation package and generous equity plan." That's somewhat generic but it's actual content. The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Benefits: they say "excellent benefits, a competitive compensation package and generous equity plan." That's not super specific but it's still a statement about benefits. Might be considered real content. Pay: they give base pay ranges for California and Illinois. So Pay section should be included. Schedule: not mentioned. So omit Schedule. Skills: maybe we can extract from qualifications? But we have Qualifications section; Skills could be separate but we might not need if not explicit. The posting includes "Strong analytical and quantitative problem-solving skills", "Excellent presentation, written communication, leadership, and interpersonal skills". Those are skills. Could create Skills section. But we already have Qualifications covering education and experience. Might be okay to have Skills separate. However instruction: Prefer a few substantive sections over many thin ones. Could combine Skills into Qualifications? But they asked to use headings for those categories if content exists. We have content for Skills. So include Skills.
About the role: The initial paragraphs describe the role. Could be About the role section.
We must not repeat job title as heading. So we can start with About the role.
We need to remove boilerplate: EEO, etc. Also remove duplicated lines like "C3 AI provides excellent benefits..." appears twice; we should keep only once.
We need to preserve all substantive information. So include details about responsibilities, qualifications, preferred qualifications, pay ranges, benefits statement.
We need to format lists with
- . For prose use
. We must not include markdown fences. Let's craft. Structure:
About the role
... description ...
Responsibilities
- ... ...
Qualifications
- ... ...
- with a note. Or we could add a separate section "Preferred Qualifications" but not in allowed list; risk of being considered extra heading not allowed? The instruction says "use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid other headings, but says "use
for section headings (e.g ...)". It implies we should use those headings for sections; we could add other headings but better to stick to given list. So we incorporate preferred qualifications into Qualifications. Skills: we can extract skill statements. Benefits: we have statement. Pay: we have ranges. Now craft content. About the role: combine first paragraphs: "C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is seeking an Industry Solution Leader (ISL) for High Tech Manufacturing to lead the design and delivery of enterprise AI solutions for its clients with a specialization in Semiconductor and Fuel Cell Fabrication. C3 AI is seeking an Industry Solution Director, Supply Chain to lead the design and delivery of enterprise AI solutions for complex global supply chain and manufacturing organizations." But note there is duplication: two sentences about seeking ISL and Industry Solution Director. Actually the posting seems to combine two roles? The first sentence about ISL for High Tech Manufacturing, then later about Industry Solution Director, Supply Chain. Might be two separate roles but we treat as description. We'll keep both. We need to preserve all substantive information; we can keep both. Now Responsibilities: list each bullet from "Responsibilities" section. Let's extract bullets: - Own the overall solution strategy, technical direction, and delivery outcomes for assigned customer engagements, maintaining accountability from initial problem definition through production deployment and scale. - Serve as the primary customer-facing solution leader and supply chain domain expert, developing a detailed understanding of customer planning processes, operational workflows, constraints, systems, and business objectives. - Identify and quantify high-impact opportunities across demand planning, inventory optimization, supply planning, production planning, scheduling, pricing, procurement, logistics, order fulfillment, service levels, and working capital. - Translate complex supply chain and operational challenges into tractable AI, machine learning, optimization, and software problems with clearly defined decision variables, constraints, requirements, success criteria, and expected business value. - Lead engagements through use case definition, requirements gathering, solution architecture, application configuration, validation, production deployment, user adoption, and scale-out. - Apply deep supply chain expertise to challenge assumptions, evaluate analytical approaches, interpret results, and ensure solutions reflect the operational and economic realities of the customer's business. - Lead cross-functional teams of Forward Deployed Engineers, data scientists, product managers, engineers, and industry experts, establishing technical priorities and driving alignment around customer outcomes. - Work directly with customer planners, manufacturing teams, commercial and pricing teams, procurement organizations, logistics teams, technology leaders, finance stakeholders, and executives to validate requirements, workflows, recommendations, and business impact. - Guide the interpretation and use of supply chain and enterprise data, including demand, orders, pricing, inventory, production, capacity, lead times, bills of material, suppliers, purchasing, shipments, logistics, service levels, and financial information. - Maintain accountability for solution quality, business value, technical risks, delivery progress, customer adoption, and executive communication throughout the engagement. - Partner with C3 AI product management and engineering teams to identify reusable capabilities, inform product development, and scale successful solutions across plants, products, networks, geographies, and business units. - Support sales teams during opportunity assessment and capture by helping define customer problems, solution approaches, business value, technical requirements, deployment strategy, and demonstrations. - Support development of statements of work and deployment plans, ensuring scope, deliverables, assumptions, data requirements, risks, timelines, and resource requirements are clearly defined. - Develop repeatable supply chain methodologies, solution patterns, and best practices and represent C3 AI in relevant customer and industry forums. Now Qualifications (required): - Bachelor's degree in Engineering, Operations Research, Supply Chain Management, Industrial Engineering, Computer Science, Mathematics, Economics, or a related quantitative discipline. - 7+ years of experience in supply chain, manufacturing, operations, planning, logistics, procurement, pricing, operations research, or technically focused consulting. - Deep experience in one or more areas including demand planning, supply planning, inventory optimization, production planning, manufacturing scheduling, pricing, procurement, logistics, distribution, or supply chain network optimization. - Experience working in complex manufacturing or supply chain environments such as high-tech and semiconductor, industrial manufacturing, automotive, consumer products, pharmaceuticals, chemicals, metals, agriculture, or other global enterprises. - Strong understanding of supply chain planning concepts including service levels, safety stock, lead times, capacity constraints, bills of material, production constraints, inventory policies, pricing decisions, sourcing decisions, and network flows. - Demonstrated experience solving complex supply chain problems and improving service levels, forecast performance, inventory, working capital, production efficiency, fulfillment, pricing outcomes, or operating costs. - Experience working with enterprise supply chain data from ERP, MRP, planning, warehouse management, transportation management, procurement, manufacturing, commercial, and related enterprise systems. - Familiarity with enterprise platforms such as SAP, Oracle, Kinaxis, Blue Yonder, o9, or similar supply chain and planning systems. - Strong analytical and quantitative problem-solving skills, including the ability to reason about tradeoffs, constraints, uncertainty, and optimization objectives. - Demonstrated experience leading complex, customer-facing technical engagements and working directly with operational, technical, commercial, and executive stakeholders. - Ability to structure ambiguous business problems, define the decisions that need to be improved, and translate those requirements into technical solutions. - Ability to work effectively with software engineers, data scientists, product managers, and customer technical teams and translate between domain, business, and technical requirements. - Excellent presentation, written communication, leadership, and interpersonal skills. - Ability to travel to customer locations as required. Preferred qualifications (we can embed as bullet points with note "Preferred:" maybe). Let's list: - Experience delivering AI, machine learning, operations research, mathematical optimization, advanced analytics, or supply chain digital transformation solutions. - Hands-on technical experience with SQL, Python, analytics, optimization tools, application configuration, scripting, or similar technologies, with the ability to directly inspect data, prototype analyses, and work closely with engineering and data science teams. - Experience deploying demand forecasting, inventory optimization, pricing optimization, production optimization, scheduling, network optimization, or decision-support solutions. - Experience working across both enterprise supply chain functions and manufacturing operations. - Experience taking technical solutions from initial proof of value through production deployment and scale. - Experience scaling solutions across multiple plants, product families, regions, networks, or business units. - Advanced degree in Engineering, Operations Research, Supply Chain, Analytics, or a related quantitative discipline. - Candidates must be authorized to work in the United States without the need for current or future company sponsorship. Now Skills: we could extract skill statements: "Strong analytical and quantitative problem-solving skills", "Excellent presentation, written communication, leadership, and interpersonal skills", "Ability to structure ambiguous business problems", "Ability to work effectively with software engineers...". But many already in qualifications. Might be redundant. Perhaps we can omit Skills section to avoid thin sections. The instruction: Prefer a few substantive sections over many thin ones. So we could combine skills into Qualifications. But we already have Qualifications covering education/experience; skills are part of qualifications. Might be okay to not have separate Skills. Benefits: "C3 AI provides excellent benefits, a competitive compensation package and generous equity plan." Pay: we have two ranges: California Base Pay Range $130,000—$203,000 USD; Illinois Base Pay Range $130,000—$203,000 USD. We'll include both. Now we need to ensure we don't include boilerplate like EEO etc. Remove that. Now produce HTML. Let's craft. Be careful to not include duplicate lines. We'll output:
About the role
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C