Data Operations Quality Manager

Scandit

Poland

Hybrid

PLN 220,000 - 320,000

Full time

14 days+
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Benefits offered by this job

Great Place to Work
Hybrid or home working
Equity plan

Job summary

Scandit Poland is seeking a Data Operations Quality Manager to steward operational quality for our advanced visual intelligence products. You will work with the Data Team, product managers, and engineering to shape processes, annotation workflows, and quality metrics to ensure reliable product performance and a transparent view for decision-makers.

You will own quality within the data team, design QC frameworks, and develop SOPs while balancing accuracy with resource use.

Qualifications

  • 5+ years of experience in a quality role on production-grade deployment.
  • Strong analytical and statistical thinking.
  • Experience designing and improving end-to-end workflows and SOPs.
  • Hands-on, detail-oriented working style with data, images, and human annotations.
  • Excellent written and verbal communication skills.
  • Proven track record of influencing without formal authority in cross-functional environments.
  • Comfort with ambiguity, evolving products, and balancing rigor with speed.

Responsibilities

  • Own operational quality within the data team.
  • Establish and maintain a single source of truth on quality metrics for all stakeholders.
  • Design and maintain annotation and QC frameworks, including failure categories and review processes.
  • Establish real-world performance measurement, balancing accuracy and resources.
  • Monitor and document the performance of external suppliers and contractors.
  • Create and evolve operational playbooks and SOPs to make sure processes are efficient and effective.
  • Support product, operations, engineering, and customer success with clear quality narratives and explain quality implications of decisions.

Skills

Quality management
Analytics
End-to-end workflows
SOP design
Cross-functional influence
Communication

Job description

Data Operations Quality Manager
Scandit POLAND
Imagine the What. Build the How.

Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, and innovate, and help take Scandit to the next level.

About the role

As a Data Operations Quality Manager, you will be the steward of the operational quality that enables the reliability and performance of our advanced visual intelligence products. Embedded in the Data Team and working closely with product managers and engineering, you’ll shape how we build and execute operational processes, annotation work, and quality measurements of the real-world product performance. Your work will ensure that operational quality is visible and transparent to enable decision-making and a superior customer experience.

What you will do
  • Own operational quality within the data team
  • Establish and maintain a single source of truth on quality metrics for all stakeholders
  • Design and maintain annotation and QC frameworks, including failure categories and review processes
  • Establish a real-world performance measurement, balancing accuracy and resources
  • Monitor and document the performance of external suppliers and contractors
  • Create and evolve operational playbooks and SOPs to make sure processes are efficient and effective
  • Support product, operations, engineering, and customer success with clear quality narratives, explain quality implications of decisions, and trade-offs
Who we look for
  • 5+ years of experience in a quality role on production-grade deployment
  • Strong analytical and statistical thinking
  • Proven experience designing and improving end-to-end workflows and SOPs
  • Hands-on, detail-oriented working style and willingness to dive into concrete data, images, and human annotations
  • Excellent written and verbal communication skills, including explaining quality concepts to non-experts
  • Proven track record of influencing without formal authority in cross-functional, multi-stakeholder environments
  • High comfort with ambiguity, evolving products, and balancing rigor with speed and practical constraints
Nice to have:
  • Experience working with annotation vendors, BPOs, or freelance workforces
  • Familiarity with computer vision or ML data pipelines
The good stuff

Here are just some of the reasons why people choose to build their career at Scandit:

  • We are certified as a “Great Place to Work” in 7 countries!
  • Smart, people-first culture
  • Flexible, office, hybrid or home working
  • Innovation hackathons
  • Global team outings
  • Festive/end of year all company celebrations
  • Your birthday off
  • Learning and development opportunities
  • An attractive individual equity plan in a high growth company
  • Top notch tech pack to enable you to do your most productive work
  • Brand new optimized-for-hybrid working HQ in Zurich as well as local offices in hotspots London, Tampere, Warsaw, Boston and Tokyo
  • As well as specific benefits related to the location you are joining

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applicants will receive consideration for employment without regard to race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.

Imagine the What. Build the How.

“Everybody is welcome here” - Is a celebrated component of our DNA.

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applications will receive consideration for employment without regard to race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed.

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