Sr Specialist, Data & AI Governance

Overview

Execute and operationalize data and AI governance frameworks, policies and standards for the Equity Data value stream at S&P Dow Jones Indices, ensuring data accuracy, consistency and ethical use across SPDJI data assets and AI solutions.

What you'll do

• Execute and operationalize data and AI governance frameworks, policies, and standards, ensuring data accuracy, consistency, and completeness for critical financial products.
• Design and execute robust data quality monitoring programs, conducting root cause analysis and collaborating with data owners to implement corrective actions and drive measurable improvements in data integrity.
• Support AI risk assessments by evaluating potential biases and unintended consequences, maintaining AI model inventory, and collaborating with AI Solutions Experts to ensure responsible AI practices.
• Participate in project intake and review processes, providing guidance on governance requirements and identifying risks to ensure compliance and support successful project outcomes.
• Serve as a governance resource and advisor to value stream SMEs, developing training materials, facilitating awareness sessions, and building strong relationships with stakeholders.
• Identify opportunities for continuous improvement and innovation in governance processes, staying current on emerging technologies and contributing ideas to enhance frameworks and operational practices.

What you'll need

• 5+ years of experience in data governance, data quality management, compliance, or related financial services roles.
• 2+ years working with data management frameworks.
• Strong understanding of data governance frameworks (DAMA-DMBOK, DCAM, or similar), data quality assessment methodologies, and AI/ML concepts including responsible AI principles.
• Hands-on experience applying programming languages commonly used in data engineering (Python, SQL, Scala, etc.) in real-world settings.
• Excellent documentation skills to create clear policies and technical specifications.
• Attend at least one in-person interview, ordinarily at the nearest S&P Global office, for external candidates who reach the final interview stage.

Nice to have

• Professional certifications in data governance, data management, or privacy (CDMP, DGSP, CIPP, or similar).
• Demonstrated ability to contribute to team initiatives, resolve varied and non-routine issues, and provide guidance and clarification to support quality work output.
• Strong Emotional Intelligence, actively listening to understand diverse perspectives, and prioritizing tasks based on importance and urgency to achieve team goals.
• Proactive in using previous experience to identify appropriate courses of action or improve existing approaches, and capable of interpreting technical information to aid understanding within the team.

Details

• Location: Mumbai, Maharashtra.
• Work mode: Hybrid, with a minimum of 2 days per week in the office.