Kognitiv Inc.
Website:
kognitivinc.com
Job details:
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.
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.
Required Qualifications
- 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
- 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.
Kognitiv is an Equal Opportunity Employer
All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
Work Authorization
Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv.
Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration.
Estimated Application Deadline
This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting.
2026-10-30
Pay Transparency Statement
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
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