Data Product Owner

**Who We Are**:
Graphite is a specialist team within Singulier focused exclusively **on data transformation for PE-backed companies**.

We believe mid-sized and large companies are still **underserved when it comes to data**. For years, only big corporates could afford the platforms and teams needed to truly leverage their data. But over the last decade, cloud technologies and modern data tools have changed the game, making it possible to build robust data capabilities faster, at a fraction of the cost.

That’s where we come in. We’re entrepreneurial, hands-on, and deeply embedded with our clients: we work directly with CxOs to solve operational and financial challenges through data. We focus only on projects where we can deliver a tangible impact, making us selective by design

Our projects are **short-cycle, high-impact, and always business-driven**. We don’t do “data for data’s sake”, every data product or pipeline we build has a direct line to a business decision. That’s what makes us trusted by some of the best private equity funds in Europe.

What You’ll Do

As a Data Product Owner at Graphite, you’ll be the bridge between business objectives and data delivery. Your job is to turn ambiguity into clarity and ideas into data products that make a real difference.

Concretely, you will:

- **Frame business needs as data products**: work directly with C-level executives and business teams to understand their objectives and translate them into actionable use cases.
- **Prioritize and plan**: define the roadmap, break it down into deliverables, and ensure the team stays focused on what drives the most value.
- **Explore and model the data yourself**: query datasets in SQL, analyze raw tables, and design the data models needed to answer key business questions.
- **Shape data structures with engineers**: collaborate closely with data engineers to design pipelines, build scalable data models, and ensure the right level of granularity for future use cases.
- **Work as part of a close-knit team**: you’ll have the support of experienced data engineers, and senior leaders who work with you to remove blockers and deliver impact.
- **Drive adoption**: make sure the products you build are actually used, whether it’s a dashboard, a data pipeline, or a reporting layer, by training and supporting business teams.
- **Test and iterate**: work with a hypothesis-driven approach, refining both the business framing and the data model as you learn.

This isn’t a “specs and tickets” role, you’ll be close to the business and the data, building data models and products that go live in weeks, not months.

**Requirements**:
**What We’re Looking For**:
We’re looking for a **Data Product Owner** who thrives at the intersection of business and data. Someone who can translate a business’s objective into a roadmap, prioritize ruthlessly, and work hand-in-hand with our data engineers to deliver.

You’ll likely have **2-4 years of experience** in a data-related role (consulting, analytics, product, BI ). The exact title matters less than your ability to navigate both business conversations and data problems with confidence.

We’re not after a “scrum master” or a pure analyst. We need someone who can:

- Understand business problems and shape them into data products.
- Own the delivery end-to-end: from framing to design to adoption.
- Navigate mid-sized to large company environments with empathy (no big-corporate layers, but you need to be comfortable with hands-on complexity).
- Be comfortable getting close to the data: write (or learn to write) SQL queries, dig into raw tables, challenge assumptions with facts, and understand the technologies we use.
- Work with a hypothesis-driven mindset, framing questions and testing solutions quickly to converge on what delivers the most impact.

If you enjoy building clarity where there’s noise, and you can balance ambition with pragmatism, we should talk.

**Why Join Us**:
Because you’ll have **real ownership**. Our Data POs don’t just write tickets, they shape the roadmap, work directly with C-levels, and see the impact of what they deliver within weeks.

Because you’ll be part of a **close-knit, high-caliber team**. We’re a team at human scale: collaborative, supportive, and with a genuinely good working atmosphere.

Because you’ll get to **work directly with data**: dive into tables, explore datasets, model problems, and use SQL to get answers. You won’t be stuck in “coordination mode”, you’ll build insights hands-on and help shape how solutions are delivered.

Because we’re flexible**:we trust you to organize your time**, with the ability to work remotely when it makes sense.

Because you’ll work on **diverse projects**across industries (e.g., healthcare, infrastructure, energy) all with the same anchor: solving real business problems with data.

And finally: because you’ll **learn fast**. We work side-by-side with top-tier PE firms and senior executives, which is both demanding and incredibly r