Antal

Data AI Lead

Brak informacji o wynagrodzeniu

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#461570·Dodano 25 dni temu·0

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

SAPAIDataSQL Python

Podsumowanie oferty

The Data & AI Lead owns and develops the organisation’s SAP analytics platform and builds AI solutions on top of it. The role combines data modelling and platform operations with production RAG pipelines and AI agents, using SAP Datasphere, SAP Analytics Cloud, Python and Microsoft Copilot Studio.

Wymagania

University degree in Computer Science, Business Informatics, Information Systems, Data Science, Mathematics, Engineering or a related field.
At least 7 years of professional experience in data and analytics, starting in BI/analytics and subsequently moving into AI.
Hands-on expertise in SAP Datasphere, including spaces, Data Builder, views, analytic models, replication and federation flows, and task chains.
Hands-on expertise in SAP Analytics Cloud, including models, stories, analytic applications, live and import connections, and row-level security.
Working understanding of SAP Business Data Cloud, including data products, foundation services and the interplay between SAP Datasphere, SAP Analytics Cloud and Databricks.
Strong data modelling and SQL skills, including semantic layer design, performance tuning and data quality.
Hands-on Python programming experience for data and AI workloads, with Git-based version control and testing.
Practical experience with Microsoft Copilot Studio, including agents, topics, knowledge sources, actions and connectors, Power Platform integration and deployment governance.
Demonstrated experience building RAG pipelines and taking AI agents into production, including orchestration, tool calling, guardrails, observability and evaluation.
Solid understanding of LLM fundamentals: prompt engineering, context management, structured output, model selection and hallucination mitigation.
Experience leading a workstream, squad or small team, including technical guidance and quality assurance of others’ work.
Awareness of AI and data governance requirements, such as GDPR, the EU AI Act and responsible AI principles.
Fluent English.

Nice to have:

German.
Certifications in SAP Datasphere, SAP Analytics Cloud or AI, such as Microsoft AI-102 or Copilot Studio credentials.
Power Platform experience.

Obowiązki

Own the architecture, development and operation of the analytics platform based on SAP Datasphere and SAP Analytics Cloud within SAP Business Data Cloud.
Design and build data models, views, analytic models, replication and federation flows, and task chains, integrating SAP S/4HANA, SAP BW/4HANA and non-SAP sources.
Develop and maintain SAP Analytics Cloud models, stories and analytic applications; ensure performance, usability and consistent KPI definitions across business functions.
Identify, qualify and prioritise AI use cases with the business, including their feasibility, value and risk.
Design, build and productionise RAG pipelines covering ingestion, chunking, embeddings, retrieval, re-ranking, grounding and answer-quality evaluation.
Build, deploy and maintain AI agents in Microsoft Copilot Studio and comparable frameworks, and integrate them into Teams, M365 and core enterprise systems.
Develop reusable Python components, APIs and services, applying version control, testing, code review and CI/CD practices.
Establish evaluation, monitoring, logging and guardrails so AI solutions are measurable, traceable, cost-controlled and safe to operate.
Take use cases from proof of concept into production, document them and hand them over to operations.
Provide technical leadership and mentoring to team members, key users and external partners, including design and code reviews.
Maintain the analytics and AI roadmap and work with Data Protection, Information Security and Legal to meet GDPR, the EU AI Act and internal requirements.
Build analytics and AI literacy across the organisation through training, documentation and communities of practice.

Benefity

End-to-end ownership of shaping the analytics and AI landscape while remaining hands-on in building it.
A mandate to take AI use cases beyond pilots and put them into productive operation.
A modern data stack combining SAP Datasphere, SAP Analytics Cloud and SAP Business Data Cloud with the Microsoft AI ecosystem.
Time and budget for training and certification, and room to develop the team and your own expertise.

Dofinansowanie szkoleń

Inne informacje

If your application is successful, a dedicated consultant will stay in regular contact, help you prepare for interviews with the future employer and support the recruitment process.

Antal

838 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz