R&D Product Owner - Data, Analytics, Digital & AI Delivery

Role Overview: ERP Logic, a globally recognized SAP Cloud Solutions company, is seeking a Data, Analytics, Digital & AI Delivery (DADAI) Domain Product Owner to maximize execution quality across products. As the Product Owner, you will be responsible for translating approved product priorities into delivery-ready scope and ensuring clear priorities, technical alignment, and quality standards for delivery teams. You will act as the primary interface between the domain Business Unit priorities and the DADAI delivery factory, ensuring continuous alignment between business intent and delivery execution. Key Responsibilities: - Translating approved business priorities into clear product scope, epics, features, and user stories. - Identifying execution implications and collaborating with CoEs, Architecture, Data, and delivery teams to refine delivery-ready scope. - Assessing execution dependencies, technical constraints, regulatory considerations, and data readiness implications at the product level. - Defining clear feature scope, acceptance criteria, assumptions, and delivery readiness inputs for planning. - Ensuring backlog items meet DADAI quality standards prior to PI/sprint planning and delivery execution. - Acting as the primary delivery-facing product authority for feature scope, backlog priorities, and acceptance decisions for ARTs, PODs, and vendor teams. - Supporting operational feedback loops by translating production learnings, defects, and enhancement requests into backlog refinement and prioritized delivery actions. Qualification Required: - Proven ability in Data, Analytics, Digital, Automation, or AI Products for at least 5 years. - Experience in business analysis and delivery for enterprise digital, data, analytics, and AI solutions within complex, global organizations. - Strong understanding of end-to-end data and analytics lifecycles. - Hands-on experience supporting the design, implementation, and adoption of business applications and workflow-based digital solutions. - Solid knowledge of data concepts and relational databases. - Experience with analytics, AI, and ML-enabled solutions. - Enterprise IT roles combining business-facing product ownership with delivery execution for at least 5 years. - Proven experience in backlog refinement, delivery readiness, technical assessment, and data quality. - Capability to perform high-level technical assessment of data, digital, and AI solutions. - Hands-on experience driving product alignment with enterprise architecture, security, privacy, and data governance. - Advantageous to have hands-on experience in pharma R&D business area. - Experience in regulated or high-compliance environments is preferred. - Formal certifications such as SAFe POPM, SAFe Practitioner, or ITIL Foundation are a plus. Additional Company Details: ERP Logic is a leading SAP Cloud Solutions company with over 1,000 employees globally. It has expanded its presence across the United States, Europe, the Middle East, India, and Israel, serving over 500 customers with expertise in SAP S/4HANA and SAP ECC. The company focuses on transitioning businesses to advanced ERP systems with sustainable solutions and a customer-centric approach. Role Overview: ERP Logic, a globally recognized SAP Cloud Solutions company, is seeking a Data, Analytics, Digital & AI Delivery (DADAI) Domain Product Owner to maximize execution quality across products. As the Product Owner, you will be responsible for translating approved product priorities into delivery-ready scope and ensuring clear priorities, technical alignment, and quality standards for delivery teams. You will act as the primary interface between the domain Business Unit priorities and the DADAI delivery factory, ensuring continuous alignment between business intent and delivery execution. Key Responsibilities: - Translating approved business priorities into clear product scope, epics, features, and user stories. - Identifying execution implications and collaborating with CoEs, Architecture, Data, and delivery teams to refine delivery-ready scope. - Assessing execution dependencies, technical constraints, regulatory considerations, and data readiness implications at the product level. - Defining clear feature scope, acceptance criteria, assumptions, and delivery readiness inputs for planning. - Ensuring backlog items meet DADAI quality standards prior to PI/sprint planning and delivery execution. - Acting as the primary delivery-facing product authority for feature scope, backlog priorities, and acceptance decisions for ARTs, PODs, and vendor teams. - Supporting operational feedback loops by translating production learnings, defects, and enhancement requests into backlog refinement and prioritized delivery actions. Qualification Required: - Proven ability in Data, Analytics, Digital, Automation, or AI Products for at least 5 years. - Experience in business analysis and delivery for enterprise digital, data, analytics, and AI solutions with