Job description
Associate Data Workforce Manager (ML/AI)
Scandit US
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. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.
Your opportunity
As an Associate Data Workforce Manager (ML/AI), you will be responsible for overseeing the operational side of the data team – managing projects, planning resources, and improving processes. Your primary focus will be on ShelfView data capture projects, while also contributing to data collection and annotation initiatives that support other Scandit products.
You will work closely with product managers, data engineers, and the quality assurance team to ensure efficient project execution and on-time delivery.
This role connects people, data, and processes – requiring project and team management skills, as well as analytical approach to problem-solving, often under time pressure.
- Hands-on involvement in the day-to-day management of ongoing data projects
- Planning and prioritizing project tasks
- Sourcing and onboarding freelancers for project-based tasks
- Creating and updating internal documentation and guidelines for freelancers
- Monitoring quality indicators and identifying areas for optimization
- Collaborating closely with data engineers and product managers to clarify project requirements
- Improving and automating operational processes
Who we look for
We are looking for someone with experience in project and/or team management, who has an analytical mindset, attention to detail, and the ability to communicate effectively with technical stakeholders. You should feel comfortable working on both strategic planning and daily team operations.
- University degree (technical, analytical, or management degrees are preferred but not mandatory)
- Experience in project and/or team management (preferably in data, operations, or analytics)
- Analytical approach to problem-solving and process optimization
- Ability to work in a dynamic environment and handle multiple tasks simultaneously
- Ability to collaborate with technical teams (e.g. data engineers, analysts)
- Excellent English communication skills (B2 level or higher)
Nice to have:
- Experience in ML data collection and/or annotation projects
- Experience in data quality assurance
The good stuff Here are just some of the reasons why people choose to build their careers at Scandit:
- An attractive individual equity plan in a high-growth company
- Smart, people-first culture
- Flexible, office, hybrid, or home working
- Do good and give back with 2 impact days where you can give time to one of our trusted nonprofit partners
- Innovation hackathons
- Global team outings
- Festive/end of year all company celebrations
- Your birthday off
- Learning and development opportunities
- Mentoring programs
- 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, Singapore, and Tokyo
- As well as specific benefits related to the location you are joining
We are proud to be “ GREAT PLACE TO WORK” accredited in Switzerland, the UK, the USA, Poland, France and Italy and “GREAT PLACE TO WORK FOR WELLBEING” in the UK
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.
