Principal Consultant – AI Transformation & Adoption

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes: location, practice area, type, description (role), responsibilities (What You'll Do), requirements (What We're Looking For), bonus points, benefits, pay range. Also maybe "Why Join Capco" could be considered as something like "About the role"? But we need to follow headings list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can map content accordingly. We have: - About the role: could be the introductory paragraph: "Help Financial Services organizations turn advances in AI into practical, responsible transformation at enterprise scale. The Role As a Principal Consultant – AI Transformation & Adoption, you will help leading Financial Services organizations translate advances in AI into meaningful changes in how their businesses operate and how their people work." That's about the role. - Responsibilities: "What You’ll Do" bullet list. - Requirements: "What We’re Looking For" bullet list (core requirements). Could be split into Requirements and Qualifications? The instruction says we can have both Requirements and Qualifications sections if content exists. We have qualifications (education, experience). Could treat "What We’re Looking For" as Requirements (experience) and maybe Qualifications (education). But we can also combine. However we need to avoid thin sections. Let's see: The posting includes: Bachelor’s or Master’s degree ... together with 8+ years of relevant experience across ... That's qualification + experience. Then "Experience leading complex client-facing AI..." etc. That's more experience. Then "Practical understanding of Generative AI..." etc. Then "Experience identifying AI use cases..." etc. Then "Consulting experience spanning stakeholder management..." etc. Then "Financial Services experience..." etc. Then "Bonus Points For ..." which could be Skills or Qualifications. We could have: - Requirements: core mandatory experience (the bullet points after "What We’re Looking For" up to before "Bonus Points For"). - Qualifications: education (Bachelor’s/Master’s) maybe plus certifications? Not much else. - Skills: maybe the practical understanding of Generative AI etc. Could be considered skills. But we need to avoid filler. Let's decide to have sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay. Possibly Skills if we have distinct content. Check content for Skills: "Practical understanding of Generative AI and agentic technologies, including LLMs, copilots, AI agents, context and prompt engineering, workflow automation, and modern AI product development, with experience using platforms such as ChatGPT Enterprise, Microsoft 365 Copilot, Claude, GitHub Copilot, Codex, Claude Code, or comparable technologies." That's a skill. Also "Experience identifying AI use cases, redesigning workflows and roles, delivering AI adoption or workforce enablement initiatives, and establishing measures that connect AI adoption to productivity, quality, customer outcomes, risk, cost, or other business metrics." That's more experience/skill. Could be under Requirements. Better to keep sections minimal: About the role, Responsibilities, Requirements (includes experience, qualifications, skills), Benefits, Pay. That satisfies. We must not repeat job title as heading. We'll not include "Job ID". We'll include location maybe in a short paragraph under About the role? The location is given: "Location: New York, NY (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent". We can fold minor metadata into a short

or drop it. Probably include a short paragraph with location, practice area, type. We must remove boilerplate: Inclusion at Capco, Use of Artificial Intelligence in Talent Acquisition, scam warning, etc. Also remove "Why Join Capco" maybe? That's not a standard heading but could be considered as part of Benefits? Actually "Why Join Capco" includes bullet points about culture, learning, etc. That's more like "About the company" but not in allowed headings. Since we only output sections when posting has real specific content for allowed headings, we could omit "Why Join Capco" because it's not one of the allowed headings. However we could treat it as part of Benefits? Not really. Better to omit. We must keep Benefits section: they list medical, dental, vision, HSA/FSA, 401(k) match, tuition reimbursement, commuter benefits, wellness reimbursement, maternity/paternity leave, dependent care support, family-focused benefits, Working Advantage discount marketplace, lifestyle benefits. That's specific. Pay: they give "US Pay Range $146,000—$183,000 USD". That's specific. Schedule: Not mentioned besides Hybrid (location). Not a schedule like full-time/part-time. Could we create Schedule section? The posting says Location: New York, NY (Hybrid). That implies hybrid work schedule but not explicit schedule. The instruction: never create Pay/Schedule/Benefits sections unless the posting actually states them. It does state location hybrid but not schedule like "Full-time" or "Part-time". Might be considered schedule? Probably not. Safer to omit Schedule. Thus sections: About the role, Responsibilities, Requirements, Benefits, Pay. We need to use

for each section heading. Use

• for lists. Use

  for prose. We must preserve all substantive information; do not invent or summarize away detail. So we need to include all bullet points from What You’ll Do, What We’re Looking For (core), Benefits, Pay, location/practice/type. We must not repeat job title as heading. We'll not include it. We need to ensure we don't include filler like "commensurate with experience". Not present. Let's extract details. About the role prose: Combine the initial paragraphs: "Help Financial Services organizations turn advances in AI into practical, responsible transformation at enterprise scale. The Role As a Principal Consultant – AI Transformation & Adoption, you will help leading Financial Services organizations translate advances in AI into meaningful changes in how their businesses operate and how their people work. Working directly with clients, you will lead AI transformation and adoption initiatives, helping organizations identify where AI can create value, redesign roles and workflows, build the capabilities required to sustain new ways of working, and measure the resulting business impact. You will work with senior business and technology leaders to move beyond experimentation and isolated AI use cases toward enterprise adoption. This includes applying technologies such as copilots and AI agents to real business and technology workflows, addressing the organizational and workforce changes they create, and establishing the governance and measurement required to deploy them responsibly at scale. The role combines AI transformation, workforce transformation, product innovation, and consulting leadership. It is suited to someone who understands how emerging AI technologies can change work and can help clients implement that change within complex, regulated environments." That's a lot; we can keep as

  . Responsibilities: "What You’ll Do" bullet list: - Lead client engagements focused on enterprise AI transformation and adoption, workforce transformation, and AI-enabled ways of working, connecting business priorities and AI investments to measurable outcomes. - Identify and prioritize high-value AI opportunities and redesign business and technology workflows to incorporate copilots, AI agents, workflow automation, and appropriate human oversight. - Assess how AI changes roles, skills, responsibilities, and human-machine interactions, and design capability interventions including role-based learning, experiential labs, coaching, AI Champion networks, Communities of Practice, and reusable playbooks. - Partner with product, engineering, architecture, data, risk, and business teams to move AI initiatives beyond experimentation into sustainable enterprise adoption, addressing data privacy, information security, model risk, regulatory requirements, Responsible AI, and governance. - Advise senior stakeholders, facilitate executive workshops, lead multidisciplinary consulting teams, establish adoption and value measures, contribute to proposals and account development, and develop reusable methods and assets that strengthen Capco’s AI transformation proposition. We'll put each as

• . Requirements: "What We’re Looking For" core bullet points up to before "Bonus Points For". Let's list: - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Business, Organizational Development, or a related discipline, together with 8+ years of relevant experience across technology consulting, AI strategy, enterprise transformation, product management, digital adoption, workforce transformation, or related fields. - Experience leading complex client-facing AI, technology, or digital transformation initiatives, including shaping ambiguous business problems, structuring transformation programs, and working with senior stakeholders through strategy, design, implementation, and adoption. - Practical understanding of Generative AI and agentic technologies, including LLMs, copilots, AI agents, context and prompt engineering, workflow automation, and modern AI product development, with experience using platforms such as ChatGPT Enterprise, Microsoft 365 Copilot, Claude, GitHub Copilot, Codex, Claude Code, or comparable technologies. - Experience identifying AI use cases, redesigning workflows and roles, delivering AI adoption or workforce enablement initiatives, and establishing measures that connect AI adoption to productivity, quality, customer outcomes, risk, cost, or other business metrics. - Consulting experience spanning stakeholder management, facilitation, executive communication, coaching, multidisciplinary team leadership, and collaboration across business, technology, product, data, risk, and control functions. - Financial Services experience across Banking, Capital Markets, Wealth Management, Payments, or Insurance is particularly relevant, although substantial transformation experience in other highly regulated industries may also be considered. We could also include education as part of Requirements; but we could separate Qualifications if we want. However we have only one Requirements section; we can include education there. We must not include "Bonus Points For" as it's not a standard heading; we could treat as Skills but we don't have Skills section. Could we add Skills section? The instruction allows Skills heading if content exists. The bonus points include experience leading enterprise AI transformation, knowledge of Responsible AI, experience developing role and skills taxonomies, experience developing AI prototypes, experience with organizational design, etc. That's substantive. So we could create a Skills section for those bonus points. That would be appropriate. Thus sections: About the role, Responsibilities, Requirements, Skills, Benefits, Pay. We need to ensure we don't create thin sections. Skills section will have several bullet points from Bonus Points For. Let's extract Bonus Points For bullet points: - Experience leading enterprise AI transformation or adoption programs within Financial Services or working within consulting or professional services environments. - Knowledge of Responsible AI, AI governance, model risk management, data privacy, information security, and emerging enterprise AI controls. - Experience developing role and skills taxonomies, AI capability models, AI Champion networks, Communities of Practice, train-the-trainer programs, or other workforce transformation approaches. - Experience developing AI prototypes, proof-of-concepts, prompt and context libraries, agentic workflows, reusable accelerators, or other assets that help move initiatives from concept to implementation. - Experience with organizational design, job redesign, skills transformation, change management, AI value realization, or relevant certifications in AI, Cloud, Product Management, Agile, Organizational Change, or related disciplines. We'll put each as
• under Skills. Now Benefits: list as
  • . Benefits bullet points: - Medical, Dental, and Vision coverage, plus Health Savings Account (HSA) and Flexible Spending Account (FSA) options. - 401(k) with company match, tuition reimbursement, commuter benefits, and wellness reimbursement. - Maternity and paternity leave, dependent care support, and comprehensive family-focused benefits. - Working Advantage employee discount marketplace and additional lifestyle benefits. - A competitive, people-first benefits package designed to support your wellbeing, career growth, and long-term success. We'll keep as list. Pay:

    US Pay Range $146,000—$183,000 USD

    . Location/practice/type: we can include a short paragraph after About the role maybe before Responsibilities: "Location: New York, NY (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent". We'll put as

    . Now ensure we