Product Analyst — Master Data Management (IT)

• As Product Analyst in the MDM IT team, you will be the functional and technical bridge between business stakeholders, data governance teams, and IT delivery — supporting and enhancing the master data technology landscape built on SAP (ECC and S/4HANA), Orsoft, and Tibco.
• You will own the analysis, design, and delivery follow-through of enhancements and projects that keep master data flowing reliably across Danone’s global application landscape, while contributing to the strategic migration journey from SAP ECC to S/4HANA

Roles & Responsibilities

• Solution Support & Enhancements
• • Act as functional analyst for the MDM platform stack: SAP (ECC / S/4HANA master data objects), Orsoft (master data system of entry), and Tibco (enrichment layer).
• • Analyse, specify, and prioritise enhancement requests from global and regional business teams; translate business needs into clear functional and technical specifications.
• • Support incident and problem management for master data flows (L2/L3 coordination), performing root-cause analysis across systems of entry, systems of record, and downstream consumers.
• • Maintain and improve interface mappings, data distribution rules, and integration patterns between SAP, Orsoft, Tibco, and connected applications.
• Project Delivery
• • Contribute to global MDM and data transformation projects, including S/4HANA migration workstreams, platform consolidation initiatives, and data quality programs.
• • Participate in design workshops, fit-gap analysis, testing cycles (SIT/UAT), cutover planning, and hypercare for master data scope.
• • Coordinate with external partners and internal development teams to ensure on-time, on-quality delivery of changes.
• Data Quality & Governance
• • Partner with Data Governance and Data Quality teams to implement DQ rules, validations, and monitoring in the master data creation and distribution processes.
• • Support data owners and data stewards across business functions (Finance, Marketing, R&I, Supply Chain) with system expertise and impact analysis.
• • Contribute to documentation of data lineage, attribute catalogs, and target data models.
• Stakeholder Management & Continuous Improvement
• • Build trusted relationships with business process owners, CDO/data office stakeholders, and regional IT teams across geographies.
• • Identify opportunities for process simplification, automation, and standardisation of master data operations.
• • Stay current on SAP MDG, S/4HANA master data capabilities, and integration technologies; bring recommendations into the platform roadmap.

Technical Requirements

• • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• • 3–5+ years of experience in IT functional analysis, application support, or solution delivery in an enterprise environment.[AR1.1][RN1.2][AR1.3][RP1.4]
• • Hands-on experience with SAP master data (material/product, customer, vendor/supplier domains) in ECC and/or S/4HANA — including core tables, transactions, and data structures.
• • Experience with integration/middleware technologies, ideally Tibco (or equivalent: SAP PI/PO, MuleSoft, Boomi), including message flows, mappings, and error handling[RN2.1][RN2.2].
• • Strong analytical skills: ability to trace data issues end-to-end across multiple systems and articulate root causes and remediation options.
• • Experience writing functional specifications, test scenarios, and supporting UAT with business users.
• • Fluent English (written and spoken); ability to work effectively in a global, multicultural, matrixed organisation.
• • Experience with Orsoft or comparable master data entry/workflow tools.
• • Exposure to Syniti, EBX, or other MDM/data governance platforms.
• • Familiarity with S/4HANA migration programs (brownfield/greenfield/selective) and the master data implications of each.
• • Knowledge of data quality tooling and analytics platforms (e.g., Databricks, SQL-based DQ monitoring).
• • Experience in FMCG / CPG industry and understanding of product, customer, and supply chain master data in that context.
• • Working knowledge of agile and hybrid delivery methodologies (Scrum, SAFe) and ITSM processes (ITIL).

Additional

• • Influence over control: thrives in a matrix organisation, achieving outcomes through collaboration rather than hierarchy.
• • Curiosity and ownership: digs into the “why” behind data issues and follows through to resolution.
• • Clear communicator: able to make complex data and integration topics tangible for non-technical audiences.
• • Team player: works “one team” across IT, data office, and business functions, across time zones and cultures