R&D Product Owner - Data, Analytics, Digital & AI Delivery (Pharma Industry)
ERP Logic Israel, SAP Partner·India·Onsite
5+ years
Full Time
Onsite
Senior Product Manager
India
Yesterday
About the role
Company Description
ERP Logic is a globally recognized SAP Cloud Solutions company, specializing in SAP implementation and application services. Since its inception in 2009, the company has grown significantly to over 1,000 employees and expanded its presence across the United States, Europe, the Middle East, India, and Israel. As one of the top three SAP reseller partners globally for SAP S/4HANA Grow and SAP S/4HANA Rise, ERP Logic serves over 500 customers, including both large enterprises and mid-sized companies. With deep expertise in SAP S/4HANA and SAP ECC, ERP Logic supports businesses in transitioning to advanced ERP systems with a customer-centric approach and sustainable solutions.
Role Description
The DADAI (Data, Analytics, Digital & AI Delivery) Domain Product Owner is accountable for translating approved product priorities into delivery-ready scope and for maximizing execution quality across products. The Product Owner owns the product backlog, clarifies requirements, defines acceptance criteria, and ensures delivery teams can execute with clear priorities, technical alignment, and quality standards.
The Product Owner acts as the primary delivery-facing interface between the domain Business Unit priorities (via the IT SHM / Product Manager) and the DADAI delivery factory / CoEs at the product level, ensuring continuous alignment between business intent, delivery execution, and backlog refinement.
Key
What you'll do
- The Product Owner contributes execution input required for delivery planning, including:
- 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 product level
- Defining clear feature scope, acceptance criteria, assumptions, and delivery readiness inputs for planning
- Ensuring backlog items are complete, clear, and 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
- Success Measures:
- Delivery Readiness & Planning Quality
- Percentage of features entering PI / sprint planning with clear scope, acceptance criteria, dependencies, and required architectural or data inputs identified.
- Minimizing late discovery of dependencies, data readiness gaps, or scope ambiguity during planning and execution.
Nice to have
- Regulated or High‑Compliance Environment (2+ years)
- Experience delivering solutions in environments with:
- o Validation requirements
- o Audit readiness
- o Controlled release and change management practices (e.g., GxP)
- Formal Certifications
- SAFe POPM, SAFe Practitioner, or equivalent agile/product certification.
- ITIL Foundation or equivalent service management exposure.
Skills & keywords
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