ABOUT THE ROLE We are looking for a seasoned Master Data Management Expert to own the design, implementation, and governance of enterprise-wide master data across our core business domains — customer, product, supplier, and location. You will work at the intersection of data architecture, integration engineering, and governance policy, partnering with domain owners, data stewards, and engineering teams to ensure our master data is trusted, consistent, and actionable across all platforms and systems.
CORE RESPONSIBILITIES
Lead the end-to-end design, build, and operation of MDM solutions covering customer, product, supplier, and reference data domains
Architect and configure MDM platforms (Informatica MDM, Reltio, TIBCO EBX, SAP MDG, or equivalent) for survivorship, match-merge, and hierarchy management
Define and enforce master data governance policies, ownership models, stewardship workflows, and escalation paths
Develop and maintain data integration pipelines connecting source systems, MDM hubs, and downstream consumers using ETL/ELT tooling
Design data quality rules, profiling routines, and remediation workflows — operationalising DQ metrics and SLAs
Collaborate with data architects to embed MDM standards into the enterprise data model and data product catalog
Manage entity resolution, deduplication, and golden record construction logic for high-volume, complex data environments
Establish and track KPIs for master data quality, completeness, timeliness, and consistency across all domains
Lead data stewardship forums, data council inputs, and cross-functional working groups on master data topics
Drive continuous improvement of MDM processes, tooling, and workflows in response to business and regulatory change
MDM Platforms & Tooling
2- 5+ years hands-on experience with enterprise MDM platforms — Informatica MDM (Customer 360 / Product 360 / Supplier 360), Reltio Cloud MDM, TIBCO EBX, SAP Master Data Governance, or Semarchy xDM
Deep expertise in Informatica MDM Hub configuration: base objects, landing/staging tables, match-merge rules, trust frameworks, state machine workflows, and UI Workbench
Experience with Reltio's entity type modeling, attribute configuration, match rules, survivorship policies, and tenant management
Working knowledge of at least one additional MDM or PIM platform (Stibo STEP, Akeneo, Profisee, Magnitude MDM)
Ability to evaluate, select, and implement MDM tooling aligned to business and architectural requirements
Data Integration & Pipeline Engineering
Proven experience designing and building data integration pipelines using Informatica PowerCenter, Informatica IICS (Intelligent Cloud Services), MuleSoft, Azure Data Factory, AWS Glue, or Talend
Proficiency in writing and optimising SQL, including complex joins, window functions, and stored procedures across relational databases (SQL Server, Oracle, PostgreSQL)
Experience with real-time and event-driven integration patterns using Kafka, MQ, or equivalent messaging platforms to keep MDM hubs in sync
Familiarity with REST and SOAP API development for MDM inbound/outbound integration and golden record publication
Knowledge of data virtualisation and federated query patterns to expose master data without full replication
Experience with cloud-native pipeline tooling (Databricks, dbt, Spark) is a strong advantage
Understanding of CDC (change data capture) patterns and their application in keeping master records current
Data Quality
Hands-on experience with data quality tools — Informatica Data Quality (IDQ), Informatica Axon, Collibra DQ, Ataccama, or Great Expectations
Ability to define and implement data quality dimensions: completeness, accuracy, consistency, validity, uniqueness, and timeliness
Experience profiling large datasets, identifying root-cause quality issues, and building automated remediation workflows
Track record of building data quality scorecards and dashboards tied to business-meaningful SLAs
Knowledge of address validation, name standardisation, and third-party enrichment services (D&B, Experian, Loqate)
Master Data Governance
Deep understanding of data governance frameworks — DAMA-DMBOK, DCAM, or enterprise-specific implementations
Experience owning or contributing to data governance councils, domain stewardship programmes, and policy definition
Ability to define RACI models for master data ownership across IT, business operations, and data office functions
Hands-on experience with governance tooling: Collibra Data Governance, Informatica Axon, Alation, Microsoft Purview, or IBM InfoSphere Business Glossary
Strong grasp of data lineage, metadata management, and business glossary design for master data entities
Knowledge of regulatory requirements affecting master data: GDPR, CCPA, BCBS 239, and industry-specific compliance obligations
Experience designing stewardship workflows — issue routing, exception management, approval chains, and audit trails
Technical & Architectural
Solid grounding in data modelling — normalised, dimensional, and entity-relationship models — with the ability to design canonical master data schemas
Understanding of enterprise architecture patterns: hub-and-spoke MDM, registry-style MDM, co-existence, and centralised models
Experience working within cloud platforms: AWS, Azure, or GCP — including cloud-native data services
Familiarity with DevOps and CI/CD practices applied to MDM configuration deployments and pipeline promotion
Ability to write Python or Shell scripts for automation, data extraction, or tooling integration
Experience with version control systems (Git) and infrastructure-as-code concepts for data platform components
NICE TO HAVE
Informatica MDM, Reltio, or Collibra professional certification
CDMP (Certified Data Management Professional) or similar data governance qualification
Experience with graph-based MDM or knowledge graph technologies (Neo4j, Amazon Neptune) for complex relationship modelling
Exposure to AI/ML-assisted matching, deduplication, or enrichment in MDM contexts
Background in a regulated industry: financial services, healthcare, life sciences, or consumer goods
Experience with product information management (PIM) and digital asset management integration with MDM hubs
Familiarity with data mesh principles and MDM's role in a federated data ownership model
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Master Data Management Expert in Amsterdam werkgever: Accenture PLC
Accenture is een uitstekende werkgever die zijn medewerkers de kans biedt om samen te werken met toonaangevende organisaties en innovatieve cybersecurity-oplossingen te ontwikkelen. Met een sterke focus op inclusie, diversiteit en persoonlijke groei, biedt Accenture flexibele werkregelingen, voortdurende leermogelijkheden en toegang tot branchecertificeringen. De cultuur van samenwerking en innovatie, gecombineerd met de mogelijkheid om impact te maken in de wereld van cybersecurity, maakt het een aantrekkelijke plek voor professionals die betekenisvol en lonend werk zoeken.
