Practice Lead - AI Strategy and Transformation
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections with real content.
We need to parse the posting.
Content:
- Intro paragraph about Kognitiv, role description: "At Kognitiv Inc., we’re redefining...". That's about the role/company. Could be "About the role" or "About the company". Use heading About the role
with paragraph(s).
- Then "The AI Practice Lead will establish...". That's also role description.
- Then "Key Responsibilities" heading with bullet list.
- Then "Required Qualifications" heading with bullet list.
- Then "Preferred Qualifications" heading with bullet list.
- Then "Pay Transparency Statement" with salary range: "$185,000 USD - $252,000 USD". That's Pay section.
- Benefits: Not explicitly listed; only mention "For details on our comprehensive benefits package please visit our careers website". That's not specific benefits, so we should NOT create Benefits section because no specific content. So omit.
- Schedule: Not mentioned. Omit.
- Skills: Not explicit separate; but could be part of qualifications. We could have a Skills section if we extract skills from qualifications, but better to follow instruction: include section only when posting has real, specific content for it. There's no dedicated Skills heading; we could combine into Qualifications. Probably not create Skills.
- About the role: we have intro paragraphs.
- Responsibilities: we have bullet list under Key Responsibilities.
- Requirements: Could be Required Qualifications. Use heading Requirements
or Required Qualifications
. The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should map Required Qualifications to either Requirements or Qualifications. Since they have both Required and Preferred, we could have Requirements for Required Qualifications, and Qualifications for Preferred Qualifications? But they said "Qualifications" as a heading. Could treat Required Qualifications as Requirements, Preferred Qualifications as Qualifications. That seems logical.
Thus:
About the role
with paragraphs.
Responsibilities
with - ... each bullet.
Requirements
with - ... each bullet from Required Qualifications.
Qualifications
with - ... each bullet from Preferred Qualifications.
Pay
with ... salary range.
We must not repeat job title as heading. Not include Job ID etc.
Remove boilerplate: EEO, Work Authorization, Estimated Application Deadline, etc.
Also remove duplicated lines.
We need to preserve all substantive information: ensure we keep all bullet points.
Let's extract bullet points.
From Key Responsibilities:
- AI Strategy & Practice Development
- Define, evolve, and execute the practice’s service offerings, roadmap, and go-to-market methodology.
- Partner with Marketing and Sales to create compelling service collateral and thought leadership content (e.g., whitepapers, webinars, podcasts, and articles).
- Establish the firm as an AI authority by representing the company at industry conferences, panels, and community forums.
- Client Advisory & Business Value
- Serve as a trusted advisor to C-suite and executive clients on AI readiness, risk mitigation, governance, and long-term implementation roadmaps.
- Facilitate strategic discovery workshops to identify practical, high-impact AI use cases aligned with clear business outcomes.
- Support pre-sales and business development with compelling presentations, solution demos, and outcome-based ROI models.
- Establish frameworks that articulate the long-term productivity and innovation gains of AI deployment.
- Solutions & Innovation
- Lead the evaluation, architecture, and execution of AI proof-of-concepts (POCs), generative AI agents, and intelligent automation workflows.
- Continuous evaluation of emerging LLMs, platforms, frameworks, and AI tools to ensure optimal tech selection for client and internal needs.
- Build reusable assets, accelerators, and code/prompt templates to speed up client delivery and build practice efficiency.
- Organizational Enablement & Capability Development
- Cultivate AI literacy across technical and business teams through structured workshops, training programs, and playbooks.
- Identify and empower "AI Champions" across departments to foster a culture of responsible innovation.
- Establish scalable governance, ethical AI guidelines, and repeatable delivery frameworks.
- Leadership & Organizational Change
- Drive change management strategies that address the human side of AI adoption, helping clients re-skill workforce segments.
- Lead through influence across cross-functional, multi-disciplinary teams without relying on direct authority.
- Mentor and develop the next generation of technical leads and consultants.
We need to flatten into list items? The instruction: Use
- for any list of duties/requirements/benefits. So we can have a single
with each bullet as - . Could also keep sub-bullets but better to keep simple list.
Thus each bullet point becomes an
- . We'll need to include all.
Now Required Qualifications bullet list:
- 8+ years of experience in technology consulting, digital transformation, software engineering, or enterprise advisory.
- 5+ years of leadership experience managing teams, leading practice areas, or driving enterprise-scale technology programs.
- Deep understanding of the modern AI ecosystem (LLMs, generative AI tools, prompt engineering, agentic workflows, and automation platforms).
- Proven track record translating complex AI architectures into business metrics, ROI, and clear executive messaging.
- Strong track record running executive strategy sessions, discovery workshops, and technical POC presentations.
- Demonstrated ability to drive technology adoption and structure initiatives in fast-paced, ambiguous environments.
- Exceptional written, verbal, and presentation skills with natural executive presence.
Preferred Qualifications bullet list:
- Experience building or scaling an AI/Analytics Center of Excellence (CoE) or dedicated service practice within a professional services or consulting firm.
- Experience authoring published AI thought leadership content or presenting at tech conferences.
- Exposure to enterprise SaaS ecosystems (e.g., HR, Finance, ERP platforms, or Workday) is a plus, but not required.
- History of active involvement in pre-sales, solution architecture, and RFP responses.
Now Pay: "$185,000 USD - $252,000 USD". Also note the Pay Transparency Statement paragraph. We should include the salary range and maybe the statement about compensation being determined by factors. The instruction: include Pay section only if posting actually states them. It does state salary range. We can include the range and maybe the explanatory sentence? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. So we should include the full Pay Transparency Statement text? It includes: "Kognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. In instances where a role is open to multiple experience levels, the posted salary range may be broad; a more granular, level-specific range will be defined and discussed during the interview process. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package please visit our careers website"
That's substantive. Should we include all? Yes, preserve all. However, we must not include boilerplate like EEO etc. This is not boilerplate; it's part of Pay Transparency Statement. So include it.
Thus
Pay
then with the whole statement.
Now About the role: combine intro paragraphs.
Intro: "At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. The AI Practice Lead will establish and scale our Artificial Intelligence practice, driving meaningful adoption for both our internal teams and external clients. Blending high-level strategy, executive advisory, and hands-on execution, you will shape our internal capabilities while guiding clients through transformative AI journeys. In this role, you will bridge the gap between technical complexity and business value—helping leadership translate emerging AI trends into high-impact ROI. Success here isn’t measured solely by your personal technical output, but by your ability to build organizational momentum, mentor future leaders, and build repeatable frameworks that enable others to lead."
We can put that in
maybe split into multiple paragraphs but single is fine.
Now ensure we don't include any boilerplate like "Kognitiv is an Equal Opportunity Employer", "Work Authorization", "Estimated Application Deadline", etc.
Now produce HTML fragment.
Structure:
About the role
...
Responsibilities
- ...
...
Requirements
- ...
...
Qualifications
- ...
...
Pay
...
Make sure no extra whitespace issues.
Now craft the list items.
Responsibilities list items (I'll combine each bullet as separate - ):
- Define, evolve, and execute the practice’s service offerings, roadmap, and go-to-market methodology.
- Partner with Marketing and Sales to create compelling service collateral and thought leadership content (e.g., whitepapers, webinars, podcasts, and articles).
- Establish the firm as an AI authority by representing the company at industry conferences, panels, and community forums.
- Serve as a trusted advisor to C-suite and executive clients on AI readiness, risk mitigation, governance, and long-term implementation roadmaps.
- Facilitate strategic discovery workshops to identify practical, high-impact AI use cases aligned with clear business outcomes.
- Support pre-sales and business development with compelling presentations, solution demos, and outcome-based ROI models.
- Establish frameworks that articulate the long-term productivity and innovation gains of AI deployment.
- Lead the evaluation, architecture, and execution of AI proof-of-concepts (POCs), generative AI agents, and intelligent automation workflows.
- Continuous evaluation of emerging LLMs, platforms, frameworks, and AI tools to ensure optimal tech selection for client and internal needs.
- Build reusable assets, accelerators, and code/prompt templates to speed up client delivery and build practice efficiency.
- Cultivate AI literacy across technical and business teams through structured workshops, training programs, and playbooks.
- Identify and empower "AI Champions" across departments to foster a culture of responsible innovation.
- Establish scalable governance, ethical AI guidelines, and repeatable delivery frameworks.
- Drive change management strategies that address the human side of AI adoption, helping clients re-skill workforce segments.
- Lead through influence across cross-functional, multi-disciplinary teams without relying on direct authority.
- Mentor and develop the next generation of technical leads and consultants.
Now Requirements list items:
- 8+ years of experience in technology consulting, digital transformation, software engineering, or enterprise advisory.
- 5+ years of leadership experience managing teams, leading practice areas, or driving enterprise-scale technology programs.
- Deep understanding of the modern AI ecosystem (LLMs, generative AI tools, prompt engineering, agentic workflows, and automation platforms).
- Proven track record translating complex AI architectures into business metrics, ROI, and clear executive messaging.
- Strong track record running executive strategy sessions, discovery workshops, and technical POC presentations.
- Demonstrated ability to drive technology adoption and structure initiatives in fast-paced, ambiguous environments.
- Exceptional written, verbal, and presentation skills with natural executive presence.
Now Qualifications list items (Preferred):
- Experience building or scaling an AI/Analytics Center of Excellence (Co
Requirements
with- ... each bullet from Required Qualifications.
Qualifications
with- ... each bullet from Preferred Qualifications.
Pay
with... salary range. We must not repeat job title as heading. Not include Job ID etc. Remove boilerplate: EEO, Work Authorization, Estimated Application Deadline, etc. Also remove duplicated lines. We need to preserve all substantive information: ensure we keep all bullet points. Let's extract bullet points. From Key Responsibilities: - AI Strategy & Practice Development - Define, evolve, and execute the practice’s service offerings, roadmap, and go-to-market methodology. - Partner with Marketing and Sales to create compelling service collateral and thought leadership content (e.g., whitepapers, webinars, podcasts, and articles). - Establish the firm as an AI authority by representing the company at industry conferences, panels, and community forums. - Client Advisory & Business Value - Serve as a trusted advisor to C-suite and executive clients on AI readiness, risk mitigation, governance, and long-term implementation roadmaps. - Facilitate strategic discovery workshops to identify practical, high-impact AI use cases aligned with clear business outcomes. - Support pre-sales and business development with compelling presentations, solution demos, and outcome-based ROI models. - Establish frameworks that articulate the long-term productivity and innovation gains of AI deployment. - Solutions & Innovation - Lead the evaluation, architecture, and execution of AI proof-of-concepts (POCs), generative AI agents, and intelligent automation workflows. - Continuous evaluation of emerging LLMs, platforms, frameworks, and AI tools to ensure optimal tech selection for client and internal needs. - Build reusable assets, accelerators, and code/prompt templates to speed up client delivery and build practice efficiency. - Organizational Enablement & Capability Development - Cultivate AI literacy across technical and business teams through structured workshops, training programs, and playbooks. - Identify and empower "AI Champions" across departments to foster a culture of responsible innovation. - Establish scalable governance, ethical AI guidelines, and repeatable delivery frameworks. - Leadership & Organizational Change - Drive change management strategies that address the human side of AI adoption, helping clients re-skill workforce segments. - Lead through influence across cross-functional, multi-disciplinary teams without relying on direct authority. - Mentor and develop the next generation of technical leads and consultants. We need to flatten into list items? The instruction: Use
- for any list of duties/requirements/benefits. So we can have a single
- with each bullet as
- . Could also keep sub-bullets but better to keep simple list. Thus each bullet point becomes an
- . We'll need to include all.
Now Required Qualifications bullet list:
- 8+ years of experience in technology consulting, digital transformation, software engineering, or enterprise advisory.
- 5+ years of leadership experience managing teams, leading practice areas, or driving enterprise-scale technology programs.
- Deep understanding of the modern AI ecosystem (LLMs, generative AI tools, prompt engineering, agentic workflows, and automation platforms).
- Proven track record translating complex AI architectures into business metrics, ROI, and clear executive messaging.
- Strong track record running executive strategy sessions, discovery workshops, and technical POC presentations.
- Demonstrated ability to drive technology adoption and structure initiatives in fast-paced, ambiguous environments.
- Exceptional written, verbal, and presentation skills with natural executive presence.
Preferred Qualifications bullet list:
- Experience building or scaling an AI/Analytics Center of Excellence (CoE) or dedicated service practice within a professional services or consulting firm.
- Experience authoring published AI thought leadership content or presenting at tech conferences.
- Exposure to enterprise SaaS ecosystems (e.g., HR, Finance, ERP platforms, or Workday) is a plus, but not required.
- History of active involvement in pre-sales, solution architecture, and RFP responses.
Now Pay: "$185,000 USD - $252,000 USD". Also note the Pay Transparency Statement paragraph. We should include the salary range and maybe the statement about compensation being determined by factors. The instruction: include Pay section only if posting actually states them. It does state salary range. We can include the range and maybe the explanatory sentence? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. So we should include the full Pay Transparency Statement text? It includes: "Kognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. In instances where a role is open to multiple experience levels, the posted salary range may be broad; a more granular, level-specific range will be defined and discussed during the interview process. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package please visit our careers website"
That's substantive. Should we include all? Yes, preserve all. However, we must not include boilerplate like EEO etc. This is not boilerplate; it's part of Pay Transparency Statement. So include it.
Thus
Pay
thenwith the whole statement. Now About the role: combine intro paragraphs. Intro: "At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. The AI Practice Lead will establish and scale our Artificial Intelligence practice, driving meaningful adoption for both our internal teams and external clients. Blending high-level strategy, executive advisory, and hands-on execution, you will shape our internal capabilities while guiding clients through transformative AI journeys. In this role, you will bridge the gap between technical complexity and business value—helping leadership translate emerging AI trends into high-impact ROI. Success here isn’t measured solely by your personal technical output, but by your ability to build organizational momentum, mentor future leaders, and build repeatable frameworks that enable others to lead." We can put that in
maybe split into multiple paragraphs but single is fine. Now ensure we don't include any boilerplate like "Kognitiv is an Equal Opportunity Employer", "Work Authorization", "Estimated Application Deadline", etc. Now produce HTML fragment. Structure:
About the role
...
Responsibilities
- ... ...
Requirements
- ... ...
Qualifications
- ... ...
Pay
...
Make sure no extra whitespace issues. Now craft the list items. Responsibilities list items (I'll combine each bullet as separate - ): - Define, evolve, and execute the practice’s service offerings, roadmap, and go-to-market methodology. - Partner with Marketing and Sales to create compelling service collateral and thought leadership content (e.g., whitepapers, webinars, podcasts, and articles). - Establish the firm as an AI authority by representing the company at industry conferences, panels, and community forums. - Serve as a trusted advisor to C-suite and executive clients on AI readiness, risk mitigation, governance, and long-term implementation roadmaps. - Facilitate strategic discovery workshops to identify practical, high-impact AI use cases aligned with clear business outcomes. - Support pre-sales and business development with compelling presentations, solution demos, and outcome-based ROI models. - Establish frameworks that articulate the long-term productivity and innovation gains of AI deployment. - Lead the evaluation, architecture, and execution of AI proof-of-concepts (POCs), generative AI agents, and intelligent automation workflows. - Continuous evaluation of emerging LLMs, platforms, frameworks, and AI tools to ensure optimal tech selection for client and internal needs. - Build reusable assets, accelerators, and code/prompt templates to speed up client delivery and build practice efficiency. - Cultivate AI literacy across technical and business teams through structured workshops, training programs, and playbooks. - Identify and empower "AI Champions" across departments to foster a culture of responsible innovation. - Establish scalable governance, ethical AI guidelines, and repeatable delivery frameworks. - Drive change management strategies that address the human side of AI adoption, helping clients re-skill workforce segments. - Lead through influence across cross-functional, multi-disciplinary teams without relying on direct authority. - Mentor and develop the next generation of technical leads and consultants. Now Requirements list items: - 8+ years of experience in technology consulting, digital transformation, software engineering, or enterprise advisory. - 5+ years of leadership experience managing teams, leading practice areas, or driving enterprise-scale technology programs. - Deep understanding of the modern AI ecosystem (LLMs, generative AI tools, prompt engineering, agentic workflows, and automation platforms). - Proven track record translating complex AI architectures into business metrics, ROI, and clear executive messaging. - Strong track record running executive strategy sessions, discovery workshops, and technical POC presentations. - Demonstrated ability to drive technology adoption and structure initiatives in fast-paced, ambiguous environments. - Exceptional written, verbal, and presentation skills with natural executive presence. Now Qualifications list items (Preferred): - Experience building or scaling an AI/Analytics Center of Excellence (Co
- for any list of duties/requirements/benefits. So we can have a single
- ... each bullet from Preferred Qualifications.