Manager - Data / AI

Location: Pune, India; hybrid workplace

Company

hirify.global is a professional services and technology firm delivering analytics, AI, risk, insurance, and business transformation solutions for highly regulated organizations.

What you will do

• Lead enterprise data governance programs covering data ownership, stewardship, quality, lineage, cataloging, and policy management.
• Design and implement governance frameworks with Microsoft Purview, including data cataloging, lineage, classification, and data estate management.
• Establish data quality standards, controls, monitoring, and remediation processes across critical business domains.
• Lead machine learning model risk management, including model inventories, validation, monitoring, explainability, and governance controls.
• Partner with Data Science, Data Engineering, Risk, Compliance, Security, Legal, and business stakeholders on responsible AI and regulatory requirements.
• Develop governance reporting, metrics, business glossaries, policies, and stewardship programs for executive leadership and risk committees.

Requirements

• Bachelor’s degree in Information Management, Computer Science, Data Analytics, Business, or a related discipline.
• 7+ years of experience in data governance, data management, data quality, risk management, or related disciplines.
• Strong hands-on experience with Microsoft Purview and enterprise metadata management platforms.
• Experience implementing data governance frameworks, stewardship programs, and data quality initiatives.
• Knowledge of machine learning lifecycle management, model governance, model validation, and model risk controls.
• Experience with SQL, analytics platforms, Microsoft Fabric, and modern cloud data ecosystems, together with strong stakeholder management and leadership skills.

Culture & Benefits

• Work in partnership with insurance, financial services, public sector, and other highly regulated clients.
• Join a global organization of more than 8,000 professionals operating across ten countries.
• Contribute to research and development, innovation, automation, colleague development, and client service initiatives.
• Permanent full-time employment in a hybrid workplace.

Hiring process

• Stage 1: Applied.
• Stage 2: Hired.