As the Engineering Manager of the Data Enablement team for FinOps (Finance and Operations) you will be responsible for driving the design of data models, bringing in new data sources and building data pipelines, while leveraging SQL to provide clean, tested, documented and well-defined data.

You will act as a leader for data engineers, data analysts and data scientists by providing guidance on architectural and design decisions, while evangelizing and encouraging our best practices and governance policies.

Lastly you will act as a point of contact for multiple business functions and collaborate with the stakeholders to create relevant data products to enhance data adoption at On and to increase trust.

Your primary objectives as an Data Enablement Engineering Manager are:

• Drive Strategic Alignment & Business Impact: Partner with cross-functional stakeholders to understand business requirements, and proactively identify and deliver data products that have a significant impact on stakeholders across functions or regions.
• Lead Decisive Execution: Enable the team to make timely and informed decisions for consequential, potentially irreversible decisions, and provide direction/support to others in tackling complex, new problems by identifying underlying issues and root causes.
• Provide Technical Leadership: Be accountable for your team's technical decisions and solutions, ensuring they align with Data Engineering best practices and On overall Tech's architecture north star, security, and compliance guidelines.
• Champion Team & Talent Development: Actively promote formal and informal mentoring, provide growth opportunities to your team, and build an inclusive team environment that fosters a culture of seeking out and delivering candid feedback.

You are a proven data engineering expert and leader ready to manage a data engineering team, accountable for technical delivery, quality, and hiring in the Data Engineering space. You should be able to demonstrate:

• Deep Data Proficiency: 8+ years of related experience or equivalent, with deep technical expertise in data warehousing, data modeling and ELT concepts, and are experienced in SQL, Python or equivalent programming.
• Finance & Operations Domain Expertise: You possess significant experience partnering with Finance and Operations stakeholders, translating complex business needs into robust data solutions and high-quality data models. This expertise spans knowledge of ERP systems, financial reporting, supply chain optimization and operational efficiency improvements through data-driven insights.
• Proven People Leadership: Proven experience in managing one or more teams with Individual Contributors (ICs) under direct management. You possess the ability to empower your team to ship high-quality code at pace, helping them navigate trade-offs between perfect and 'production-ready.
• Cloud & Platform Fluency: Expert knowledge of data infrastructure, APIs, data pipelines, observability and workflow orchestration in distributed cloud environments, with hands-on experience on cloud platforms (GCP preferred) and automated CI/CD.
• AI savvy: Proven familiarity with AI tooling for data such as Analytics LLMs/conversational analytics and demonstrable knowledge of using AI to innovate in the data sphere.
• Collaborative Influence: You are an exceptional communicator and a genuine team player, adept at guiding team decisions, fostering consensus through professional influence, and effectively conveying complex technical information to diverse audiences.

The data enablement team is responsible for building, maintaining and growing internal data products that empower everyone at On to impact business outcomes by making informed decisions.

You will be overseeing a team of data engineers who take care of the company’s data needs for Finance and Operations (Supply Chain). You will be leading a small focused team of data engineers, closely working with the data platform engineers, other data engineers, data analysts, data scientists and stakeholders to deliver valuable data products for the company.

You will be part of a talented and diverse function of data (platform) engineers, data scientists and data governance experts who are passionate about revolutionizing how we leverage data to solve complex challenges across On. As a data leader, you will play a critical role in shaping our data strategy and driving execution of data initiatives.

Zürich

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

• Step One

  It starts with you...

  You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

• Step Two

  Interview with a recruiter

  What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

• Step Three

  Interview with a hiring manager

  Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

• Step Four

  The Case Study

  What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

• Step Five

  The Experience Day

  Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

• Step Six

  The Result

  Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.