AI Transformation Consultant

KeboolaPrague, PragueOn-siteFull-timeMid level, 2–5 yearsListed 1 hour ago

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About this role

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.