Product Owner

Us3 Ltd; Województwo małopolskie; On-site; PLN 180,000 - 240,000; Full time

Job summary

Us3 Ltd. is seeking an experienced Data & AI Product Owner to lead data, analytics, and AI product initiatives across corporate functions like Compliance, Risk, Finance, or HR.

You will own end-to-end product delivery in an enterprise Agile environment, guiding cross-functional teams, and ensuring scalable, responsible AI solutions within the SAP ecosystem. The role emphasizes translating business needs into technical user stories, aligning stakeholders, and driving measurable business impact

Qualifications

• 5+ years of product management or product ownership experience in an enterprise Agile/Scrum environment.
• 3+ years delivering data, analytics, or AI products for corporate functions.
• Experience in Compliance, Risk Management, Audit, Finance, or HR.
• Strong SAP ecosystem knowledge including SAP BDC, Datasphere, and SAC.
• Ability to translate business requirements into technical user stories and guide architecture.
• Strong analytical, communication, leadership, and decision-making skills.
• Understanding data privacy, security, and ethical AI considerations.

Responsibilities

• Own the product lifecycle from concept through launch, onboarding, and scaling.
• Define vision, roadmap, priorities, and success metrics in an Agile/Scrum environment.
• Translate complex business requirements into clear technical user stories and backlog items.
• Collaborate with engineering, data, analytics, and AI teams to guide solution design.
• Work with SAP Business Data Cloud, Datasphere, and SAC.
• Use data and product metrics to validate hypotheses and measure impact.
• Engage senior stakeholders and global teams to align priorities and manage expectations.
• Ensure data privacy, security, and responsible AI practices throughout the lifecycle.
• Identify opportunities to leverage Business AI and predictive analytics.

Skills

Product ownership

Agile/Scrum

Data/AI product

Stakeholder management

Communication

Leadership

Data privacy

SAP knowledge

Tools

SAP Business Data Cloud

SAP Datasphere

SAP Analytics Cloud

Job description

We are looking for an experienced Data & AI Product Owner with a strong background in enterprise product management and Agile delivery. The ideal candidate will lead the development and scaling of data, analytics, and AI products for corporate functions such as Compliance, Risk Management, Audit, Finance, or HR, leveraging the SAP technology ecosystem.

Key Responsibilities

• Own the product lifecycle from concept and requirements gathering through launch, user onboarding, and scaling.
• Define product vision, roadmap, priorities, and success metrics in an Agile/Scrum environment.
• Translate complex business and compliance requirements into clear technical user stories and product backlog items.
• Collaborate with engineering, data, analytics, and AI teams to guide solution design and target architecture.
• Work with SAP Business Data Cloud, SAP Datasphere, and SAP Analytics Cloud (SAC).
• Use data and product metrics to validate hypotheses, monitor adoption, and measure business impact.
• Engage senior stakeholders and global teams to align priorities, communicate progress, and manage expectations.
• Ensure data privacy, security, and responsible AI practices are considered throughout the product lifecycle.
• Identify opportunities to leverage Business AI and predictive analytics for enterprise functions.

Required Skills

• 5+ years of product management or product ownership experience in an enterprise Agile/Scrum environment.
• 3+ years of experience delivering data, analytics, or AI products for corporate functions.
• Experience in one or more domains: Compliance, Risk Management, Audit, Finance, or HR.
• Strong knowledge of the SAP ecosystem, particularly SAP Business Data Cloud, SAP Datasphere, and SAP Analytics Cloud.
• Ability to translate business requirements into technical user stories and guide technical teams on target architecture.
• Proven experience managing end-to-end product delivery and stakeholder expectations.
• Strong analytical, communication, leadership, and decision-making skills.
• Understanding of data privacy, security, and ethical AI considerations.

Good to Have

• Experience with Business AI, predictive analytics, or AI-enabled enterprise products.
• Experience measuring product adoption and business outcomes using data-driven metrics.