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🤖ML Engineer

Business Analyst

Deutsche Börse · Prague
// classified as
ML Engineer (Productionizing models, serving, MLOps.)
posted
1d ago
location
Prague
languages
—
tools
grafana
> stack
grafana
> description

Your area of work:

Within the CTO division at Deutsche Börse Group, we operate and develop the group-wide IT infrastructure — spanning networks, data centers, cloud environments, Group Data & Advanced Analytics, and Enterprise Architecture.

As a Business Analyst, you will serve as te critical bridge between product IT stakeholders and AI engineering teams, translating complex business requirements into precise, machine-interpretable specifications that power our multi-agent orchestration platform (Agent Chain). In this role, you will define and track KPIs that measure the efficiency gains of AI-driven automation across 25,000+ repositories and 1,400+ developers, ensuring every agent delivers measurable business value.

 

Your responsibilities:

  • Elicit, analyse, and translate product IT requirements into structured specifications — including user stories, Gherkin acceptance criteria, and technical notes — that serve as reliable AI agent instructions
  • Design and maintain KPI frameworks and dashboards to measure AI automation impact, covering DORA metrics, ticket automation rates, and developer productivity gains
  • Collaborate with product owners, engineering leads, and the CTO office to prioritise agent capabilities and validate that AI outputs align with business intent
  • Define and refine quality benchmarks for agent-generated artefacts, working closely with Refinement and Decision Agents to continuously improve confidence thresholds and output accuracy
  • Analyse workflow data across Jira On-Premise and GitHub EU Cloud to identify automation opportunities and quantify the share of low-complexity tickets suitable for autonomous processing
  • Ensure all requirement artefacts and metrics comply with EU AI Act, DORA, and NIS2 regulatory standards through traceable, versioned documentation

 

Your profile:

  • Bachelor's degree in Business Informatics, Computer Science, Finance, or a related field
  • 2-3 years of hands-on experience as a Business Analyst within IT environments
  • Solid understanding of AI/ML concepts, GenAI and agentic workflows
  • Strong proficiency in structured specification methods, including Behaviour-Driven Development (BDD/Gherkin), user story mapping, and acceptance criteria definition
  • Hands-on experience with Jira (including on-premise configurations), Confluence, and agile workflow management at enterprise scale
  • Demonstrated ability in data analysis and KPI design, with practical knowledge of DORA metrics, efficiency measurement, and dashboard tooling (e.g. Grafana, Power BI)
  • Excellent stakeholder management and communication skills, with the ability to mediate effectively between non-technical product teams and highly technical AI engineering squads
  • Proficiency in written and spoken English.

 

Would be an advantage:

  • Financial market infrastructure domain knowledge
  • Experience working in regulated environments (EU AI Act, NIS2)

 

You can look forward to our benefit package:

  • Hybrid Work and Flexible working hours
  • Work from abroad - 12 days of remote work from EU countries per year
  • Group Share Plan - discount on company shares
  • Pension fund contribution - 3% of your gross salary (5% after 5 years with us)
  • Health & Wellbeing - fully covered Multisport card, life & accident insurance, sick days and 100% salary contribution during sick leave (up to 56 days)
  • 25 vacation days
  • Mobility - fully covered public transport in Prague & free parking
  • Flexible Benefit Account (Pluxee) - 1200 per month
  • Free Access to E-Learning Platforms, Internal Development Programs, Mentoring & Learning Budget

 

Apply at Deutsche Börse →