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Mid-level AI role with common ML skills but niche MDM/domain reduces applicant density.
Requires MDM domain and governance expertise, limiting transferability across industries.
Explicit 4–6 years plus mandatory MDM, AI/GenAI, and Snowflake/Python skills.
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Develop and maintain AI-enabled solutions to support Master Data Management (MDM), focusing on data quality, consistency, completeness, automation, and stewardship effectiveness.
Collaborate with data stewards, business users, IT, and governance teams to translate requirements into practical AI solutions supporting MDM processes and new deployments.
Ensure AI solutions comply with responsible AI, data privacy, cybersecurity, and enterprise governance; monitor solution performance and drive continuous improvements.
Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field.
4–6 years of experience in AI/ML, analytics, automation, MDM, or data governance.
Experience with Python, SQL, Snowflake, Power BI, and Master Data Management, including data migration, validation, cleansing, and mapping (e.g., Stibo STEP/PIM).
Not explicitly mentioned: Notice period or strict onsite/location requirements.
Experienced in designing scalable AI/automation solutions specifically for MDM and data governance environments.
Skilled in collaborating across business, IT, governance, and data stewardship teams to operationalize AI for enterprise data processes.
Pragmatic operator with a focus on automation, continuous improvement, and adherence to data compliance and governance standards.