Senior Product Data Manager at Ebury
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

0.0

Posted On

14 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we’ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You’ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.

Responsibilities
  • Own the vision and roadmap for the Atlas platform: Define and prioritise the capabilities that make external data ingestion, processing, and consumption seamless across all Ebury teams.
  • Build for scale and real-time performance: Collaborate with architects and engineers to shape a resilient, low-latency, event-driven infrastructure built for compliance and business-critical use cases.
  • Act as a product evangelist: Drive adoption across product and engineering teams by clearly articulating the value, use cases, and integration paths of the Atlas platform.
  • Define internal user journeys: Understand the needs of downstream product teams (e.g. onboarding, risk, payments, sales intelligence) and ensure the platform delivers APIs, events, and contracts they can trust and build on.
  • Enable data-driven architecture: Ensure that third-party data is ingested in a consistent, versioned, and observable way, enabling traceability, auditability, and reusability.
  • Balance roadmap and service levels: Prioritise platform improvements, API consistency, reliability SLAs, and technical documentation to ensure smooth usage by other teams.
  • Collaborate deeply with engineering: Work alongside highly technical teams to scope, plan, and deliver infrastructure improvements, from protocol design to pub/sub messaging patterns and observability tooling.
  • Manage complexity and scale thoughtfully: As data sources and users grow, ensure Atlas remains extensible, secure, and efficient for a wide variety of domains and use cases.
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