AI & Advanced Analytics Enablement
Ensure master data is AI‑ready, supporting machine learning, analytics, and Generative AI use cases.
Collaborate with Data Science and AI teams to:
Define training‑data requirements
Prevent bias and duplication in AI inputs
Improve feature quality through high‑quality master data
Implement AI‑assisted data matching, classification, and enrichment where applicable.
Support explainability, lineage, and traceability requirements for AI and ML models.
Enable natural‑language and AI‑driven access to master data for analytics and decision support platforms.
Technology & Integration
Work closely with MDM platforms and tools.
Define and oversee integration patterns between MDM, ERP, CRM, data platforms, and AI pipelines.
Collaborate with data engineering teams on cloud‑based data platforms, APIs, and automation workflows.
Ensure master data availability and consistency across operational, reporting, and AI systems.
Leadership & Collaboration
Lead and mentor Master Data Stewards and Analysts.
Act as a key stakeholder in enterprise Data & AI initiatives.
Drive organizational adoption of data governance and AI‑driven data quality practices.
Communicate MDM and AI value clearly to technical and non‑technical stakeholders.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field.
6+ years of experience in Master Data Management, Data Governance, or Enterprise Data Management.
Strong understanding of master data domains (Customer, Product, Supplier, Location).
Proven experience designing or operating MDM programs at scale.
Solid understanding of:
Data quality management
Metadata and lineage
Data governance frameworks
Strong stakeholder management and communication skills.
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