InPost

Package/Freight Delivery

AIRedesignProcessConsultant

Warsaw, Poland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“AI Redesign Process Consultant at InPost. Skills: process management, cross-functional coordination, vendor/stakeholder management, operational metrics, resource planning, continuous improvement, AI tools. entering a given area. talking to people”

What You'll Achieve.

improve business KPIs; tangible improvements; real results

Industry & Context.

Package/Freight Delivery
Problems you'll solve

analytical skills and structured problem solving; Analysis: where are the bottlenecks, where is unnecessary manual work, where AI can be applied and what it can change

What They're Looking For.

Must Have

Minimum 4–5 years of experience in consulting, digital transformation, business analysis, or process improvement, Documented projects that included implementation — not just analysis and recommendations, analytical skills and structured problem solving — Lean, Six Sigma, BPM, or similar, Practical, day‑to‑day use of AI tools in work, English at C1 level or higher — the role has a group‑wide scope

Nice to Have

Lean Six Sigma certification (Green Belt / Black Belt) or BPM, Knowledge of process mining or data‑driven process improvement, Exposure to logistics, e‑commerce, finance, or customer care, Experience in an international environment or cross‑functional transformation programs

What You'll Do.

entering a given area

observing how their work actually looks in reality

Mapping the end‑to‑end process

Analysis: where are the bottlenecks

where is unnecessary manual work

where AI can be applied and what it can change

Designing a new process — taking into account technological capabilities

and the need for human involvement at key moments

Building a business case

validating with the business as well as with supporting functions such as Finance

Creating playbooks and documentation for scaling to additional markets

How You'll Work.

Team & Collaboration

cross-functional coordination; working with supporting functions such as Finance, Controlling, Legal, and Technology teams

Process & Methodology

implementation, launching a pilot, scaling to additional markets

Full Job Description

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. AI Process Redesign Consultant — InPost Group This role does not yet exist on the market. And that’s exactly the point. At InPost, we’ve been doing things first for years. We were the first with parcel lockers, the first with a prompt engineer. Now we’re building a role that doesn’t yet have its own place in the market — AI Process Redesign Consultant. This is not about another “AI Consultant” who brings slides with recommendations and then disappears. It’s about someone who goes deep into processes together with the business, understands them inside out, redesigns them for AI — and stays through the implementation, drives the change, and sees real results. From as‑is to a working, new, intelligent process with tangible improvements. Why this role now? InPost handles hundreds of millions of parcels every year across several European countries. Behind each of them are dozens of processes — operational, logistics, back‑office, customer service. We are implementing AI. We want to automate, simplify, and “intelligentize” these processes. Ultimately, we want to improve business KPIs through this. Role and responsibilities You start by entering a given area, talking to people, and observing how their work actually looks in reality. Mapping the end‑to‑end process — not as it is described, but as it truly functions. Analysis: where are the bottlenecks, where is unnecessary manual work, where AI can be applied and w

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