Business Operations Manager (Analytics)

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Your mission

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. Your mission is to transform how we deliver our servicing experience to build a globally scalable and cost-effective model for our future.

The role is a unique opportunity to join one of the fastest growing companies in Europe. With over 15 million happy customers we’re already moving more than £9 billion a month and have more than 2,500 people in our operations functions across the US, Estonia, Hungary and Singapore and 800 in Product and engineering. We serve a wide range of customers from personal users, freelancers, small businesses to enterprise businesses and banks.

You will be one of the early members of the newly set-up function that creates a bridge between Product, Engineering and Operations teams. This new function sits in our Business Operations organisation and will be responsible for running large scale transformational projects that impact multiple functions in our servicing organisation.   

What you’ll do

• Deliver complex, multi‑team programs end‑to‑end (discovery to rollout) with strong governance, risk, and regulatory awareness; own cross‑functional remediations and fin-crime initiatives.

• Lead the migration to a new BI platform: mapping, parallel runs, cutover, deprecation, stabilisation, and rollback planning.

• Scale self‑serve data products (metrics layer, curated datasets, dashboards) with clear ownership, documentation, and lifecycle.

• Build strong relationships between Engineering and Analytics teams: shared intake and prioritisation, data contracts, and change management.

• Define success metrics and measurement plans; align on a single source of truth; communicate impact with clear visuals and narratives.

• Drive enablement (training, playbooks, catalog/lineage) to increase adoption; optimise data platform performance and cost.

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.