Practice Lead - AI Strategy and Transformation

Kognitiv Inc.

California

Hybrid

USD 160.000 - 260.000

Vollzeit

14 Tage+

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Zusammenfassung

Kognitiv Inc. in the United States seeks an AI Practice Lead to shape and scale our AI advisory and delivery capabilities. You will blend strategy, executive mentoring, and hands-on execution to drive client value.

You’ll lead POC work, governance, and AI platform decisions, mentor future leaders, and build repeatable frameworks that accelerate ROI for enterprise clients.

Qualifikationen

  • 8+ years of technology consulting or enterprise advisory.
  • 5+ years leading teams or driving enterprise programs.
  • Deep understanding of AI ecosystems including LLMs and tooling.
  • Proven ability to translate AI architectures into business metrics and ROI.
  • Strong track record running executive strategy sessions and POC demos.
  • Ability to operate in fast-paced, ambiguous environments.
  • Exceptional written, verbal, and presentation skills with executive presence.

Aufgaben

  • Define, evolve, and execute AI practice offerings, roadmap, and GTM.
  • Partner with Marketing and Sales to create compelling collateral and thought leadership.
  • Represent the firm as an AI authority at conferences and forums.
  • Advise C-suite on AI readiness, governance, and long-term roadmaps.
  • Facilitate strategic workshops to identify high-impact AI use cases.
  • Support pre-sales with presentations, demos, and ROI models.
  • Lead evaluation and execution of AI POCs and intelligent automation workflows.
  • Develop reusable assets and code/prompt templates to accelerate client delivery.
  • Cultivate AI literacy and champion responsible innovation across teams.
  • Mentor future technical leads and consultants; drive organizational change.

Kenntnisse

AI strategy
Executive advisory
Leadership
POC presentations
ROI modeling
Change management
Executive presence
AI governance

Tools

LLMs
Generative AI tools
Automation platforms

Jobbeschreibung

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

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.

The founders and consultants of Kognitiv live and breathe Workday®.

We understand that going live with your new system is just the first step in a long partnership with Workday® and its ecosystem. Implementations are fast and furious, with work like reports, dashboards, and knowledge transfer often postponed until after a go‑live. In some cases, your implementation partner has already moved on to its next project. This is why Kognitiv exists: to bridge the gap for those clients wanting to better maintain and enhance their system post a go‑live.

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