Senior Analytics & AI Engineer

Location: Warsaw Downtown Office Spire, Poland; hybrid work with the option to work from home two days per week and regular office attendance.

Company

Procter & Gamble produces globally recognized consumer brands and operates in approximately 70 countries.

What you will do

• Translate business goals into requirements, KPIs, AI use cases, report designs, user stories, and scalable product priorities.
• Design, build, test, and deploy enterprise Power BI products, semantic models, governed measures, dimensional models, and security controls.
• Partner with data engineers on source structures, ETL/ELT pipelines, transformations, and curated data products.
• Build generative and agentic AI capabilities, copilots, reusable skills, and intelligent workflows using approved platforms and responsible AI practices.
• Optimize models, reports, pipelines, and queries while establishing monitoring, data-quality controls, reconciliation, alerting, SLAs, and support processes.
• Apply Git, code reviews, automated testing, CI/CD, documentation, security, deployment, lifecycle, Agile delivery, and stakeholder-adoption practices.

Requirements

• Strong communication, collaboration, structured problem solving, sound judgment, and the ability to balance priorities in a complex environment.
• Ability to translate business goals into actionable requirements, KPIs, user stories, and scalable product designs.
• Understanding of analytics product management, Agile delivery, governance, security, service management, production support, and stakeholder adoption.
• Several years delivering end-to-end Power BI and analytics solutions in a complex business environment.
• Expert knowledge of Power Query, DAX, TMDL, field parameters, calculation groups, semantic models, deployment, and enterprise security.
• Strong SQL, dimensional modeling, star-schema, data warehousing, and ETL/ELT knowledge.
• Experience with Visual Studio Code, GitHub, Git, pull requests, code reviews, automated testing, and CI/CD for analytics products.
• Experience with SLAs, monitoring, validation, data quality, access control, and production support.
• Practical knowledge of generative AI, integration patterns, responsible AI, and intelligent automation.

Culture & Benefits

• Hybrid work combining remote flexibility with regular in-office collaboration.
• Access to large-scale projects, IT partners, and technologies from the first day.
• Training and certification development opportunities.
• Private healthcare, P&G stock, savings plans, and sport cards.
• Regular salary increases and potential promotions based on results and performance.
• Employment is exclusively offered under an Umowa o Pracę full-time employment contract.

Hiring process

• The recruiting process is described in the linked recruitment video.
• Apply only if you agree to employment under an Umowa o Pracę full-time employment contract.