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.