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Sobre esta vaga de AI Transformation Consultant na Keboola

Keboola · Presencial · Prague

About Keboola

Keboola is the governed data and AI platform companies use when bolting AI onto the old stack stops working. We help ambitious mid-market and enterprise teams take real cost and cycle-time out of the business — starting with one high-ROI process — and leave their people able to run it without us.

We don’t hire for another chatbot bolted onto last decade’s SaaS. We hire people who rebuild how companies operate: people, process, and systems — so software adapts to how work should run, not the other way around.

About the role

This role is based in Prague and is office-based 5 days a week when you’re not with customers, with client travel as needed. You’ll report to the Chief Customer Transformations Officer. Level: Mid–Senior Consultant. Working-level Czech and English are required.

You own client AI transformation workstreams end-to-end, and ideally your own P&L: from first diagnosis and value map → prioritized process rebuild → governed data/AI foundation on Keboola → enablement so the client’s team can run without you.

You are the person in the room who can talk to a CFO and sit with operators and builders — designing the engagement, delivering value-based outcomes (cost out, cycle-time, quality), and bringing in the next deal. When it’s the faster way to deliver, you also roll up your sleeves and make code changes with your AI coding agent.

Time split: about 60% delivery, 40% new business. You bring your own pipeline and close your own deals.

Remuneration: fixed base pay plus commission on new deals you bring in and on customer projects you deliver.

What you’ll do

  • Diagnose where AI creates value across the client’s value chain; cut hype from what pays in ~90 days.
  • Design and run transformation engagements: workshops, hands-on enablement, and multi-week delivery programs.
  • Rebuild concrete processes (ops, finance, sales, HR, support, engineering) around trusted company knowledge and AI agents — not UI-locked vendor workflows.
  • Stand up governed foundations on Keboola (and the client’s warehouse stack) so people and agents share one source of how work actually runs.
  • Facilitate change: stakeholders, ownership, risk, and human-approval guardrails so trust scales with automation.
  • Coach client teams to independence; measure ROI per process and kill what doesn’t pay.
  • Capture patterns into reusable playbooks and offers; feed learning back into Keboola product and services.
  • Train Keboola partners to understand and deliver this transformation approach themselves, using practical delivery lessons and playbooks.
  • Build and own your pipeline: source, scope, propose, and close new engagements.
  • Run value-based delivery: agree measurable client outcomes up front and price and report against them.
  • Own the commercial result of your engagements (ideally your own P&L).
  • What success looks like (first 12 months)

  • Multiple client workstreams delivered with clear before/after (cost, time, quality, or FTE-equivalent).
  • At least one referenceable transformation story the practice can reuse.
  • Client teams running without you on the processes you rebuilt.
  • A self-generated pipeline and closed deals that keep your book of work full.
  • Healthy margin on the engagements you own.
  • Playbooks and workshop assets improved from real delivery, not theory.
  • Required (we will specifically evaluate)

  • 4+ years in management consulting, digital / data transformation, professional services, or an in-house transformation / CoE role — or equivalent evidence of owning complex change with measurable outcomes.
  • Proven ability to facilitate executives and delivery teams; excellent structured communication in Czech and English at working level.
  • A track record of generating your own pipeline and closing consulting or services deals.
  • Experience with value-based delivery, where engagements are scoped and measured on client outcomes.
  • Experience translating ambiguous business pain into scoped engagements, milestones, and ROI hypotheses.
  • Hands-on with modern AI tooling (you don’t need to be an ML researcher; you do need to know what’s real vs demo, and use tools in real work).
  • Bias to shipping: workshops and decks matter, but you judge yourself on live processes, not slides.
  • Based in Prague and working from the office 5 days a week when not on site with customers.
  • Nice to have

  • Another CEE language for local client work.
  • P&L ownership for a practice, team, or portfolio of engagements.
  • Prior work with Keboola, Snowflake / BigQuery / Databricks / Fabric, or similar governed data stacks.
  • Change management, operating-model design, or value-chain mapping experience.
  • Built or run agentic workflows, internal tools, or “replace the SaaS UI” style rebuilds.
  • Workshop design / adult learning / enablement experience.
  • Industry depth in finance, retail, logistics, or mid-market ops.
  • This role is not for you if

  • You want to be a pure ML researcher or model trainer — we rebuild how companies operate; we don’t train frontier models for clients.
  • You prefer multi-year SI programs with status packs and no production cutover.
  • You’re looking for a body-shop staffing role with no ownership of outcomes.
  • You want to consult without hands-on delivery.
  • You want delivery only and expect someone else to bring the deals.
  • You want a remote or hybrid role.
  • You need a fully settled playbook before you can move — this work invents with clients in the open.
  • How we work

  • AI-empowered transformation: we use AI in our own delivery, not just recommend it to clients.
  • Governed from day one: roles, rules, approvals — agents beside people, not shadow IT.
  • Client data stays in their world where it should.
  • We transform how clients work; we are not a body shop.
  • Direct, high-agency culture: prove, don’t argue; say it straight.

  • How to apply

    Apply through this form. We care what you can do, not only where you learned it. If you meet most of the required bar, apply — don’t self-reject on a missing nice-to-have.

    We also hire in the open: alternatively, you can apply by opening a pull request into the ai-transformation-consultant branch of our public repository github.com/keboola/hiring. The repo README describes the application packet and PR title format. Note that the repository and its pull requests are public.

    Questions about the role: [email protected].

    Equal opportunity and meritocracy

    Keboola is an equal opportunity employer. We welcome applicants of all backgrounds and evaluate candidates on demonstrated ability and outcomes. If you need accommodations in the hiring process, say so in your application or email [email protected].

    Pronto para se candidatar à Keboola?
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