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Mid-level AI role in metro with common ML skills but niche MDM/Stibo requirement, moderate applicant density.
MDM and Stibo STEP needs increase domain bias, though core AI/ML skills remain transferable.
Explicit 4–6 years plus mandatory AI/MDM and specific tech stack increases filter rigidity.
Develop and maintain AI-enabled solutions to enhance Master Data Management processes, focusing on data quality, consistency, automation, and stewardship effectiveness.
Collaborate with cross-functional teams to design and implement AI and automation workflows for data readiness, validation, cleansing, and migration in MDM deployments.
Ensure AI solutions comply with governance, privacy, cybersecurity standards, and support monitoring, validation, and human-in-the-loop review to maintain business accountability.
Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field.
4–6 years of experience in AI/ML, analytics, automation, MDM, or data governance.
Technical skills including Python, SQL, Snowflake, Power BI, and knowledge of Stibo STEP / PIM for data migration, validation, cleansing, and mapping.
Not explicitly mentioned: notice period and strict location or regulatory requirements.
Experienced in integrating AI capabilities with enterprise MDM platforms and driving automation to improve data quality and operational efficiency.
Comfortable working independently and collaboratively across business, IT, governance, and stewardship teams.
Proficient in building scalable, maintainable AI solutions aligned with long-term data governance and MDM strategies.