Capgemini Invent - Smart Plant Solutions Managing Consultant
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Preserve all substantive info; remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Include a section only when posting has real, specific content for it; never emit heading followed by filler/placeholder text. Prefer few substantive sections over many thin ones.
We need to parse the posting and extract sections.
The posting includes:
- Intro paragraph about Capgemini Invent, belief, etc. Could be "About the role"? Actually "About The Job You’re Considering" is a heading. That could be "About the role". We'll treat that as About the role.
- Then "Your Role As a Manager / Sr. Manager..." describing responsibilities. That could be Responsibilities.
- Then "You Will Lead client projects..." bullet list of duties. That's also responsibilities.
- Then "Your Skills + Experience" describing skills and experience. That could be Skills.
- Then "Required Experience" bullet list. That could be Requirements/Qualifications.
- Then "Nice To Have Experience" bullet list. Could be Qualifications or Skills? Might be "Qualifications" for required, and "Skills" for nice-to-have? But we need to decide.
- Then "The base compensation range for this role in the posted location is: $135,900 - $265,880." That's Pay.
- Then "Benefits" paragraph describing benefits.
- No explicit Schedule info. So we should not create Schedule section.
- Also there is mention of "In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions..." That's part of Pay.
- Also there is "Capgemini provides compensation range information..." but that's boilerplate; we may keep as part of Pay? It's still about compensation. Might keep but it's somewhat generic. However we should preserve substantive info; it's still about compensation. Could keep as part of Pay paragraph.
- The "Benefits" section includes details.
- There's also "Important Notice: Compensation (including bonuses...)" which is more legal; might be considered boilerplate? It's about compensation but it's a disclaimer. Might be considered boilerplate; we could drop it as it's not substantive? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. This is legal disclaimer about compensation; could be considered boilerplate. Safer to drop it.
- Also "Disclaimers" about EEO etc. Drop.
- Also "Click the following link for more information on your rights as an Applicant..." Drop.
- Also "Capgemini is a global business..." etc. That's company description; could be considered boilerplate? Might be considered "About the role"? Not exactly. It's generic company description; could be dropped as it's not specific to the role. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. The company description is not specific to the role but is part of posting; but it's generic. Might be considered boilerplate? Not sure. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Company description is not listed; but it's not specific to the role. However we might keep it under "About the role"? The "About The Job You’re Considering" already includes some description. The later paragraph about Capgemini being global etc. could be considered extra but not required. To be safe, we could keep it as part of About the role? But we already have About the role from earlier. Might be redundant. I'd drop it to keep concise.
Thus sections:
- About the role: from "About The Job You’re Considering" paragraph: "At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose."
That's substantive.
- Responsibilities: from "Your Role As a Manager / Sr. Manager..." paragraph plus the bullet list starting with "You Will Lead client projects..." etc. We'll combine.
Paragraph: "Your Role As a Manager / Sr. Manager in Capgemini Invent’s Intelligent Industry practice, you drive digital manufacturing transformations for global clients. You lead the design and implementation of modern factory platforms, leveraging AI and analytics to boost insights, decisions, and outcomes. The role bridges strategy, technology, and execution, turning future manufacturing visions into scalable, compliant solutions."
Then bullet list:
- Lead client projects to deliver AI-powered manufacturing improvements.
- Advise on current and future factory platforms for ROI-driven outcomes.
- Design and plan modern MES and next-generation digital manufacturing solutions.
- Define IT/OT integration using industry standards (ISA-95/88).
- Mentor teams, promote AI literacy, and drive scalable delivery.
- Manage senior stakeholders with data-driven recommendations.
- Develop proposals and RFPs highlighting AI benefits and impact.
- Deliver AI-driven manufacturing solutions by leading end-to-end client projects from design through execution.
- Manage risks, vendors, and ensure sustainable manufacturing operations.
We'll put these in
- .
- Skills: from "Your Skills + Experience" paragraph: "You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments."
That's skills.
- Requirements: from "Required Experience" bullet list:
- 8 - 15 years in digital manufacturing consulting.
- Strong MES, SCADA, automation platform expertise and implementation experience.
- Proven experience demonstrating problem solving, executive communication, and stakeholder management skills.
- AI literacy and experience applying analytics or automation in manufacturing.
- Team leadership, planning, and delivery governance experience.
We'll put as
- .
- Qualifications: maybe "Nice To Have Experience" bullet list:
- Experience in Life Sciences manufacturing, GMP, LIMS, EBR.
- Familiarity with manufacturing data standards (OPC-UA, MQTT, Kafka).
- Familiarity with cloud architecture and edge computing.
- Agile/Scrum certification and agile delivery experience.
- Vendor certifications or training in digital manufacturing/smart factory platforms.
We'll treat as Qualifications (nice-to-have). Could also be Skills but we already have Skills. We'll make Qualifications.
- Pay: from compensation range paragraph and maybe additional compensation sentence.
Paragraph: "The base compensation range for this role in the posted location is: $135,900 - $265,880. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws."
We need to decide what to keep. The instruction: Remove boilerplate, but compensation details are substantive. However the long explanation about range may be considered boilerplate? It's still about compensation but generic. Might be okay to keep a concise version: just the range and note about additional compensation. But we must preserve ALL substantive information; do NOT invent or summarize away detail. Summarizing away detail might be considered summarizing, which we should avoid. However we can keep the whole paragraph; it's not boilerplate per se, it's specific to compensation. It's not navigation/legal/EEO etc. It's about compensation. So we should keep it.
Thus Pay section will contain that paragraph.
- Benefits: from "Benefits" paragraph: "Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility"
We'll keep that as
.
We should not include Schedule section.
Now we need to output only HTML fragment, no /, no markdown.
We'll structure:
About the role
...
Responsibilities
Your Role As a Manager / Sr. Manager in Capgemini Invent’s Intelligent Industry practice, you drive digital manufacturing transformations for global clients. You lead the design and implementation of modern factory platforms, leveraging AI and analytics to boost insights, decisions, and outcomes. The role bridges strategy, technology, and execution, turning future manufacturing visions into scalable, compliant solutions.
- Lead client projects to deliver AI-powered manufacturing improvements.
- Advise on current and future factory platforms for ROI-driven outcomes.
- Design and plan modern MES and next-generation digital manufacturing solutions.
- Define IT/OT integration using industry standards (ISA-95/88).
- Mentor teams, promote AI literacy, and drive scalable delivery.
- Manage senior stakeholders with data-driven recommendations.
- Develop proposals and RFPs highlighting AI benefits and impact.
- Deliver AI-driven manufacturing solutions by leading end-to-end client projects from design through execution.
- Manage risks, vendors, and ensure sustainable manufacturing operations.
Skills
You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
Requirements
- 8 - 15 years in digital manufacturing consulting.
- Strong MES, SCADA, automation platform expertise and implementation experience.
- Proven experience
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Preserve all substantive info; remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Include a section only when posting has real, specific content for it; never emit heading followed by filler/placeholder text. Prefer few substantive sections over many thin ones. We need to parse the posting and extract sections. The posting includes: - Intro paragraph about Capgemini Invent, belief, etc. Could be "About the role"? Actually "About The Job You’re Considering" is a heading. That could be "About the role". We'll treat that as About the role. - Then "Your Role As a Manager / Sr. Manager..." describing responsibilities. That could be Responsibilities. - Then "You Will Lead client projects..." bullet list of duties. That's also responsibilities. - Then "Your Skills + Experience" describing skills and experience. That could be Skills. - Then "Required Experience" bullet list. That could be Requirements/Qualifications. - Then "Nice To Have Experience" bullet list. Could be Qualifications or Skills? Might be "Qualifications" for required, and "Skills" for nice-to-have? But we need to decide. - Then "The base compensation range for this role in the posted location is: $135,900 - $265,880." That's Pay. - Then "Benefits" paragraph describing benefits. - No explicit Schedule info. So we should not create Schedule section. - Also there is mention of "In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions..." That's part of Pay. - Also there is "Capgemini provides compensation range information..." but that's boilerplate; we may keep as part of Pay? It's still about compensation. Might keep but it's somewhat generic. However we should preserve substantive info; it's still about compensation. Could keep as part of Pay paragraph. - The "Benefits" section includes details. - There's also "Important Notice: Compensation (including bonuses...)" which is more legal; might be considered boilerplate? It's about compensation but it's a disclaimer. Might be considered boilerplate; we could drop it as it's not substantive? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. This is legal disclaimer about compensation; could be considered boilerplate. Safer to drop it. - Also "Disclaimers" about EEO etc. Drop. - Also "Click the following link for more information on your rights as an Applicant..." Drop. - Also "Capgemini is a global business..." etc. That's company description; could be considered boilerplate? Might be considered "About the role"? Not exactly. It's generic company description; could be dropped as it's not specific to the role. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. The company description is not specific to the role but is part of posting; but it's generic. Might be considered boilerplate? Not sure. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Company description is not listed; but it's not specific to the role. However we might keep it under "About the role"? The "About The Job You’re Considering" already includes some description. The later paragraph about Capgemini being global etc. could be considered extra but not required. To be safe, we could keep it as part of About the role? But we already have About the role from earlier. Might be redundant. I'd drop it to keep concise. Thus sections: - About the role: from "About The Job You’re Considering" paragraph: "At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose." That's substantive. - Responsibilities: from "Your Role As a Manager / Sr. Manager..." paragraph plus the bullet list starting with "You Will Lead client projects..." etc. We'll combine. Paragraph: "Your Role As a Manager / Sr. Manager in Capgemini Invent’s Intelligent Industry practice, you drive digital manufacturing transformations for global clients. You lead the design and implementation of modern factory platforms, leveraging AI and analytics to boost insights, decisions, and outcomes. The role bridges strategy, technology, and execution, turning future manufacturing visions into scalable, compliant solutions." Then bullet list: - Lead client projects to deliver AI-powered manufacturing improvements. - Advise on current and future factory platforms for ROI-driven outcomes. - Design and plan modern MES and next-generation digital manufacturing solutions. - Define IT/OT integration using industry standards (ISA-95/88). - Mentor teams, promote AI literacy, and drive scalable delivery. - Manage senior stakeholders with data-driven recommendations. - Develop proposals and RFPs highlighting AI benefits and impact. - Deliver AI-driven manufacturing solutions by leading end-to-end client projects from design through execution. - Manage risks, vendors, and ensure sustainable manufacturing operations. We'll put these in
- .
- Skills: from "Your Skills + Experience" paragraph: "You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments."
That's skills.
- Requirements: from "Required Experience" bullet list:
- 8 - 15 years in digital manufacturing consulting.
- Strong MES, SCADA, automation platform expertise and implementation experience.
- Proven experience demonstrating problem solving, executive communication, and stakeholder management skills.
- AI literacy and experience applying analytics or automation in manufacturing.
- Team leadership, planning, and delivery governance experience.
We'll put as
- .
- Qualifications: maybe "Nice To Have Experience" bullet list:
- Experience in Life Sciences manufacturing, GMP, LIMS, EBR.
- Familiarity with manufacturing data standards (OPC-UA, MQTT, Kafka).
- Familiarity with cloud architecture and edge computing.
- Agile/Scrum certification and agile delivery experience.
- Vendor certifications or training in digital manufacturing/smart factory platforms.
We'll treat as Qualifications (nice-to-have). Could also be Skills but we already have Skills. We'll make Qualifications.
- Pay: from compensation range paragraph and maybe additional compensation sentence.
Paragraph: "The base compensation range for this role in the posted location is: $135,900 - $265,880. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws."
We need to decide what to keep. The instruction: Remove boilerplate, but compensation details are substantive. However the long explanation about range may be considered boilerplate? It's still about compensation but generic. Might be okay to keep a concise version: just the range and note about additional compensation. But we must preserve ALL substantive information; do NOT invent or summarize away detail. Summarizing away detail might be considered summarizing, which we should avoid. However we can keep the whole paragraph; it's not boilerplate per se, it's specific to compensation. It's not navigation/legal/EEO etc. It's about compensation. So we should keep it.
Thus Pay section will contain that paragraph.
- Benefits: from "Benefits" paragraph: "Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility"
We'll keep that as
. We should not include Schedule section. Now we need to output only HTML fragment, no /, no markdown. We'll structure:
About the role
...
Responsibilities
Your Role As a Manager / Sr. Manager in Capgemini Invent’s Intelligent Industry practice, you drive digital manufacturing transformations for global clients. You lead the design and implementation of modern factory platforms, leveraging AI and analytics to boost insights, decisions, and outcomes. The role bridges strategy, technology, and execution, turning future manufacturing visions into scalable, compliant solutions.
- Lead client projects to deliver AI-powered manufacturing improvements.
- Advise on current and future factory platforms for ROI-driven outcomes.
- Design and plan modern MES and next-generation digital manufacturing solutions.
- Define IT/OT integration using industry standards (ISA-95/88).
- Mentor teams, promote AI literacy, and drive scalable delivery.
- Manage senior stakeholders with data-driven recommendations.
- Develop proposals and RFPs highlighting AI benefits and impact.
- Deliver AI-driven manufacturing solutions by leading end-to-end client projects from design through execution.
- Manage risks, vendors, and ensure sustainable manufacturing operations.
Skills
You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
Requirements
- 8 - 15 years in digital manufacturing consulting.
- Strong MES, SCADA, automation platform expertise and implementation experience.
- Proven experience
- .
- Qualifications: maybe "Nice To Have Experience" bullet list:
- Experience in Life Sciences manufacturing, GMP, LIMS, EBR.
- Familiarity with manufacturing data standards (OPC-UA, MQTT, Kafka).
- Familiarity with cloud architecture and edge computing.
- Agile/Scrum certification and agile delivery experience.
- Vendor certifications or training in digital manufacturing/smart factory platforms.
We'll treat as Qualifications (nice-to-have). Could also be Skills but we already have Skills. We'll make Qualifications.
- Pay: from compensation range paragraph and maybe additional compensation sentence.
Paragraph: "The base compensation range for this role in the posted location is: $135,900 - $265,880. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws."
We need to decide what to keep. The instruction: Remove boilerplate, but compensation details are substantive. However the long explanation about range may be considered boilerplate? It's still about compensation but generic. Might be okay to keep a concise version: just the range and note about additional compensation. But we must preserve ALL substantive information; do NOT invent or summarize away detail. Summarizing away detail might be considered summarizing, which we should avoid. However we can keep the whole paragraph; it's not boilerplate per se, it's specific to compensation. It's not navigation/legal/EEO etc. It's about compensation. So we should keep it.
Thus Pay section will contain that paragraph.
- Benefits: from "Benefits" paragraph: "Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility"
We'll keep that as