Master Data Manager – Data Governance, AI Enablement
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Job Description
Master Data Manager enabling AI solutions through high-quality master data governance and integration patterns with enterprise Data & AI teams. Leading initiatives and mentoring analysts in data quality practices.
Responsibilities:
- 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.
- 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.
- 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.
Requirements:
- 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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