Website:
erplogic.co.il
Job details:
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 Commercial Product Owner / Senior Business Analyst is accountable for translating approved Commercial priorities – across sales, marketing, market access, customer and channel domains – into delivery-ready scope, and for maximizing execution quality across commercial data, analytics and digital products. The role combines product ownership with hands-on senior business analysis: owning the product backlog, eliciting and documenting requirements, mapping business processes and data flows, defining acceptance criteria, and ensuring delivery teams can execute with clear priorities, technical alignment, and quality standards.
The Product Owner / Senior Business Analyst acts as the primary delivery-facing interface between Commercial 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, requirements clarity, delivery execution, and backlog refinement.
Key Responsibilities
The Product Owner contributes execution input required for delivery planning, including:
· Translating approved Commercial business priorities into clear product scope, epics, features, and user stories, supported by detailed business analysis of processes, data, and systems.
· Eliciting, challenging, and documenting business requirements with Commercial stakeholders, 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 from the Commercial business 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.
Execution Quality
· Plan adherence of sprint / PI predictability for committed feature delivery.
· Percentage of accepted stories / features meeting definition of done without major rework.
Required Qualifications, Skill-set and Experience:
· Senior Business Analysis, Product Ownership & Agile Experience (10+ years)
· 10+ years of experience as a Senior Business Analyst, out of them a minimum of 5 years as a Product Owner – Mandatory.
· Proven experience managing product roadmaps, backlogs, prioritization, and Agile delivery teams.
· Strong experience in requirements elicitation, process and data flow mapping, functional specification, and translating business requirements into epics, features, user stories, and acceptance criteria.
Data, Analytics, Digital, Automation or AI Products (5+ years)
· Proven ability to understand existing systems and data landscapes, business processes, integrations, and translate business needs into scalable digital, data, and AI solutions.
· Proven 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, including data ingestion, modeling, transformation, analytics consumption, and operationalization of insights.
· Hands-on experience supporting the design, implementation, and adoption of business applications, and workflow‑based digital solutions across multiple business units.
· Experience working with analytics, AI, and ML-enabled solutions, including requirements definition, use‑case shaping, model integration into business processes, and alignment with platform and data governance standards.
· Solid knowledge of data concepts such as data modeling, data integration, data quality, and working with structured datasets to support reporting, advanced analytics, and AI use cases.
· Strong understanding of relational databases and querying concepts (e.g., SQL or similar technologies), with the ability to collaborate effectively with data engineers and analytics teams.
· Broad understanding of enterprise cloud ecosystems, including productivity platforms, data platforms, and cloud services supporting analytics and AI workloads.
Commercial Domain Expertise (10+ years)
· Deep understanding of pharmaceutical commercial business processes and the end-to-end commercial value chain, from customer and channel engagement through sales performance and reporting.
· Hands-on experience in one or more of the following areas: Sales & Field Force analytics, Marketing and Omnichannel, Customer & Account Management, Market Access, Supply and Demand interfaces with Commercial, and Commercial Finance / Revenue reporting.
· Proven ability to partner with Commercial business stakeholders to define business-driven priorities and measurable commercial outcomes.
· Experience owning Commercial analytics and data products from ideation through implementation and adoption — as a business-focused Product Owner and Senior Business Analyst rather than a Project Manager.
Product Ownership in Enterprise IT (5+ years)
· Enterprise IT roles combining business‑facing product ownership with delivery execution
· Proven ability to operate within domain priorities while managing product‑level tradeoffs and dependencies.
Backlog Refinement & Delivery Readiness (5+ years)
· Proven experience translating approved business priorities into epics, features, and user stories that are ready for delivery planning, including:
o Feature decomposition and backlog structuring
o Acceptance criteria definition and readiness for planning
o Dependency, technical constraint, and data readiness identification
o Preparation of delivery-ready inputs for PI / sprint planning
o Demonstrated ability to work in close partnership with a business‑facing leader (IT SHM / Product Manager) while owning backlog clarity, delivery readiness, and execution quality.
Technical Assessment & Data Quality (5+ years)
· Capability to perform high‑level technical assessment of data, digital and AI solutions, including dependencies, constraints, and implementation implications.
· Strong focus on data quality assurance, including alignment on data definitions, quality checks, and acceptance metrics across the data pipeline and analytical outputs.
· Hands‑on experience driving product alignment with:
o Enterprise Architecture
o Security and privacy
o Data governance
Advantage - Domain Business Understanding (3+ years)
· Hands‑on experience delivering, analyzing, or product‑owning solutions in the Commercial business area (sales, marketing, market access, customer and channel data).
· Strong ability to translate business processes and pain points into epics, features, and measurable product outcomes.
Preferred
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)
Technology Experience
· Databricks, Azure Data Platform, Power BI, and Tableau.
· SAP BW / SAP BI.
· Commercial platforms and data ecosystems such as Veeva CRM, IQVIA and similar syndicated commercial data sources, or equivalent CRM and commercial analytics landscapes.
Formal Certifications
· SAFe POPM, SAFe Practitioner, or equivalent agile/product certification.
· ITIL Foundation or equivalent service management exposure.
Preferred Industry Experience
· Pharmaceutical or Life Sciences industry experience is highly preferred.
· Experience supporting global or multi-region commercial organizations.
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