Master Data Manager – Data Governance & AI Enablement
Job Summary
AI & Advanced Analytics Enablement
Ensure master data isAIready supporting machine learning analytics and Generative AI use cases.
Collaborate withData Science and AI teamsto:
Define trainingdata requirements
Prevent bias and duplication in AI inputs
Improve feature quality through highquality master data
Implement AIassisted data matching classification and enrichment where applicable.
Support explainability lineage and traceability requirements for AI and ML models.
Enable naturallanguage and AIdriven 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 cloudbased data platforms APIs and automation workflows.
Ensure master data availability and consistency across operational reporting and AI systems.
Leadership & Collaboration
Lead and mentorMaster Data Stewards and Analysts.
Act as a key stakeholder in enterprise Data & AI initiatives.
Drive organizational adoption of data governance and AIdriven data quality practices.
Communicate MDM and AI value clearly to technical and nontechnical stakeholders.
Required Qualifications
Bachelors or Masters degree in Computer Science Information Systems Data Management or related field.
6 years of experience inMaster Data Management Data Governance or Enterprise Data Management.
Strong understanding of master data domains (Customer Product Supplier Location).
Proven experience designing or operatingMDM programs at scale.
Solid understanding of:
Data quality management
Metadata and lineage
Data governance frameworks
Strong stakeholder management and communication skills.
Required Experience:
Manager
About Company
Digital transformation and Engineering services company working with Fortune 500 customers across Industries for a Sustainable Tomorrow.