Hiring.Camp

Platform Service Owner (all humans)

Erste Digital GmbH

·

Today

Salary
€52k – €85k
Location
Vienna, Wien, Austria
Workplace
Hybrid
Type
Full-time
Department
Data2Business
Seniority
Mid
Experience
3+ years
Source
Recruitee

Description

Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible. #believeinyourself

We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle.

We run the enterprise Databricks Data & AI Platform. Our work includes workspace provisioning, data ingestion, data governance, GenAI use cases and platform operations, and we support business units in several countries. Demand comes in from many channels: ServiceNow requests, Jira tickets, use-case owners, security and compliance assessments, and internal engineering work.

We're looking for a Platform Service Owner to bring order to this flow. You will own the backlog, decide what gets done first, and make sure the engineering team works on the right things at the right time. Requesters should always know where their request stands.

This is not a hands-on engineering role. Technical knowledge of data platforms, cloud or AI is a strong plus, but it is not required on an expertise level.

What to do:

  • Own the platform backlog in Jira and have the final say on priorities, balancing business value, urgency, compliance and team capacity.

  • Triage incoming requests (workspace creation, data ingestion, access) and turn them into complete, well-structured Jira tickets.

  • Lead sprint planning, refinement and reviews, and define clear acceptance criteria.

  • Act as the main contact between the platform team and stakeholders, and manage expectations and conflicting priorities.

  • Keep Confluence documentation, intake processes and the roadmap up to date.

  • Track delivery KPIs (lead time, backlog health, share of unplanned work) and continuously improve the request-to-delivery process.

Skills

DatabricksJiraConfluenceServiceNowScrumKanbanCompliance

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