AI Transformation Consultant

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.