AI-Driven HR Service Improvement Lead

Scania Group

Województwo pomorskie

Hybrid

PLN 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Private medical care
Life insurance
MyBenefit – cafeteria platform
Sports card – MultiSport
Learning & development platforms
Friendly and inclusive work culture
Modern office environment

Job summary

Scania Global Knowledge Centre in Gdańsk, Poland is seeking a Digital Service Improvement Lead to drive continuous improvement and digitalization of HR services. You will partner with operational teams to identify inefficiencies, analyse processes, and translate insights into structured improvement initiatives with measurable efficiency gains.

You will lead agile delivery, apply AI tools to automate workflows outside core systems, and collaborate with IT and product owners to pilot AI-driven use

Qualifications

  • 3+ years experience in shared services environments, HR, Finance, or Customer Support.
  • 3+ years direct experience with processes management, improvement and delivering enhancements.
  • 1+ years direct experience in developing digital solutions (e.g. Power Apps, Power Automate, Co-Pilot agents).
  • Proven understanding of HR shared service delivery and end-to-end HR processes.

Responsibilities

  • Map and analyse current HR service processes with operational teams.
  • Identify inefficiencies and quantify improvements through interviews, data analysis, and improvement lists.
  • Design and implement improvements with process/product owners, including AI-driven use cases.

Skills

Process analysis
Lean
Data analysis
Digital solutions (MS365)
Stakeholder collaboration
Fluency in English

Education

Bachelor’s/Master’s in HR/BA/Operations
SAP SuccessFactors certification

Tools

Power Apps
Power Automate
Co-Pilot agents
SAP SuccessFactors

Job description

Scania Global Knowledge Centre in Gdańsk, Poland is seeking a Digital Service Improvement Lead to drive continuous improvement and digitalization of HR services. You will partner with operational teams to identify inefficiencies, analyse processes, and translate insights into structured improvement initiatives with measurable efficiency gains.

You will lead agile delivery, apply AI tools to automate workflows outside core systems, and collaborate with IT and product owners to pilot AI-driven use

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