About the company
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.
Responsibilities
- People Leadership: Scale an existing team of 8 to 20+ within the next 12 months - keeping the bar high while scaling and ensuring everyone on the team is consistently growing.
- Defining & Implementing Strategy: Work closely with the Engineering, Product & Analytics leads of the Servicing tribe (FinCrime, Customer Support, Risk) to drive the strategy for how we can utilise Data & Analytics for best outcomes for our customers.
- Core Data Sets: Play a key role in ensuring trustable, discoverable, context-enriched core datasets exist. This involves working closely with users of these datasets as well as Engineers emitting the source data they’re based on.
- Tooling Evangelist: Ensure Wise stays ahead of the curve by acting as the go-to expert for new tooling like AI applications - including conversational AI, leveraging AI for data asset enablement, and workflow optimisation. Leading its adoption and successful rollout across the organization. You’ll own metrics to track the success of this like lead time for getting new data assets live.
- Best Practices Driver: Assess and implement data modelling best practices across your tribe, elevating our data capabilities and cost sustainability.
Requirements
- Project Leadership: Track record of creating & implementing long-term, strategic projects (2+ year time horizon, cross-functional).
- Stakeholder Engagement: Ability to build strong empathy for stakeholders and internal customers, proactively identifying and solving their problems.
- Impactful Storytelling: Excellent storytelling ability with data, translating complex insights into defensible, digestible & actionable narratives.
- Technical Expertise: Advanced proficiency in SQL and Python is a must (code-review) + Architecture review.
- Data Pipelining & Modelling: Prior experience in building robust analytics pipelines and designing effective data models.
- Tooling: Able to own the roadmap for implementation of best practices regarding Business Intelligence Tools like LightDash and transformation tools like dbt. Ideally you have implemented multiple tools and workflows at your previous organisations and are ready to meet any challenge regarding security implementation, technical implementation & adoption.
Conditions
- Base salary: gross / year base (based on experience & interview outcomes)
- Restricted Stock Units (RSUs)
- Numerous amount of best in class benefits
- Flexible working - whether it’s working from home, school plays or life admin we get that flexibility