Product Owner

Rezolve Ai; Kraków; On-site; PLN 180,000 - 280,000; Full time

Job summary

Rezolve Ai seeks a Product Owner with a background in product management within agile environments to lead data/AI initiatives for corporate functions. You will translate high-level business needs into actionable user stories and guide technical teams toward scalable, compliant architectures.

Strong communication with senior leaders across global teams is essential to drive adoption and impact. The ideal candidate combines SAP expertise with an ethical, data-driven mindset to deliver end-to-end

Qualifications

• Experience building data, analytics, or AI products for corporate functions.
• End-to-end delivery of data-intensive products from concept through launch and scale.
• Translate business requirements into technical user stories; guide technical teams toward the right target architecture.

Responsibilities

• Lead end-to-end product delivery for data/AI solutions in a compliance-focused environment.
• Influence senior leadership and align global cross-functional teams.
• Ensure data privacy and ethics considerations are embedded in product decisions.

Skills

SAP Knowledge

Data & AI literacy

Stakeholder management

Data-driven decisions

Ethical AI / privacy

Tools

SAP Business Data Cloud

SAP Datasphere

SAP Analytics Cloud (SAC)

Job description

Product Ownership Background in product management roles in an agile enterprise environment (Scrum).Domain

Expertise: Experience building data, analytics, or AI products specifically for corporate functions—ideally within Compliance, Risk Management, Audit, Finance, or HREnd-to-End Delivery: Proven track record of taking data-intensive products from initial concept through launch, user onboarding, and scaling.

Technical Skills

SAP Technology Ecosystem: Strong navigation skills within the SAP landscape, specifically with SAP Business Data Cloud, SAP Datasphere and SAP Analytics Cloud (SAC)Data & AI Acumen:

Ability to translate complex business/compliance data requirements into technical user stories. Experience with Business AI or predictive analytics is highly desirable

Note: Hands-on coding or data modeling is not required, but the candidate must be able to guide technical teams toward the correct target architecture.

Senior Stakeholder Management:

Exceptional communication skills with the ability to influence, align, and manage expectations of senior leadership and diverse global teams.

Data-Driven Decision Making: Strong analytical mindset, using data and metrics to validate hypotheses, track product adoption, and measure business impact.

Ethical Mindset: A strong understanding of data privacy, security, and the ethical implications of AI in a compliance environment.