Description

You will own analytics implementation for GenAI-powered CI/CD services, defining KPIs and building data pipelines.

This role is hybrid.

Responsibilities

• Define KPIs (resolution time, code-proposal accuracy, cost impact) and augment DORA with diagnostic metrics.
• Design, build, and operate data pipelines from CI/CD systems (Jenkins/Azure, GitHub) into HANA models.
• Publish datasets and dashboards in SAP SAC and Grafana, implementing telemetry and guardrails for GenAI operations.
• Investigate data quality issues, define data contracts, and coordinate fixes with data owners.
• Run analyses on model changes and provide evidence-based recommendations for rollout decisions.

Required Skills

• 5+ years of hands-on analytics experience for production systems (CI/CD, developer tooling, or platform services).
• Strong SQL proficiency, with SAP HANA Cloud preferred.
• Strong Python skills, including pandas and NumPy.
• Demonstrated experience delivering SAP SAC stories and/or Grafana dashboards with alerts and drill-downs.
• Working knowledge of CI/CD telemetry and DORA (DevOps Research and Assessment) KPIs.
• Proven ability to isolate bottlenecks beyond standard DORA metrics.
• Rigor in data quality and lineage, ensuring end-to-end traceability.
• Fluency in English and clear communication skills.

Preferred Skills

• Familiarity with GenAI/LLM observability metrics (hallucination, latency, cost).

Key Skills

Education

Any Graduate