Sr Specialist, Data & AI Governance (Grade 09) | S&P Dow Jones Indices | Mumbai

About the Company: The Bedrock of Global Capital Markets

S&P Dow Jones Indices (SPDJI) is a division of S&P Global (NYSE: SPGI) and stands as the world’s largest, most influential resource for index-based concepts, data, and institutional research. As the creator of iconic financial market indicators such as the S&P 500® and the Dow Jones Industrial Average®, SPDJI brings vital transparency to global capital corridors.

With over USD 7.4 trillion in passively managed assets directly linked to our indices, and more than USD 11.3 trillion utilizing them as primary institutional benchmarks, our quantitative solutions are universally considered indispensable for tracking market performance, evaluating portfolios, and mitigating multi-asset risk. S&P Global equips the world’s leading organizations with the credit ratings, analytics, and workflow mechanics required to plan for tomorrow, today.

About the Role: Sr Specialist, Data & AI Governance (Grade 09)

Are you a seasoned data professional passionate about safeguarding data integrity and establishing ethical guardrails around advanced artificial intelligence? S&P Dow Jones Indices is seeking a highly analytical, collaborative Sr Specialist, Data & AI Governance to join our premier analytics operations center in Mumbai, Maharashtra.

Embedded natively within the Equity Data Value Stream—the critical engine powering our core global index offerings—this Grade 09 middle-professional track is tailored for specialists with 5+ years of experience in data governance, data quality, or financial compliance. In this hybrid role (requiring a minimum of 2 days per week in-office), you will bridge the gap between technical execution and policy compliance. You will operationalize data management frameworks, lead rigorous data quality monitoring audits, maintain comprehensive AI model registries, and mitigate systemic algorithmic bias to guarantee the absolute compliance and structural accuracy of our market-facing data assets.

Key Responsibilities & Systemic Impact

• Framework Operationalization: Execute and scale data and AI governance policies, standards, and metadata lifecycles across the Equity Data value stream to guarantee the integrity of institutional financial benchmarks.

• Data Quality Engineering: Design, implement, and track automated data quality monitoring thresholds; conduct deep root-cause analysis on structural anomalies and coordinate corrective actions with data owners.

• Responsible AI Guardrails: Support rigorous AI risk assessments by proactively identifying systemic data biases, managing the enterprise AI model inventory, and partnering with AI Solutions Experts to ensure ethical modelling.

• Project Intake & Risk Mitigation: Evaluate new product features and ingestion pipelines during regular project intake reviews, advising engineering squads on governance constraints and regulatory compliance risks.

• Internal Advisory & Training: Act as the primary subject matter expert (SME) on data lineage and stewardship, designing accessible training documentation to cultivate an institutional culture of data governance.

• Continuous Innovation: Identify process engineering gaps, introduce automation scripts to simplify compliance checklists, and adapt existing frameworks to align with evolving international AI regulations.

Candidate Prerequisites & Technical Matrix

We are looking for an analytical professional who couples a robust command of relational database structures with exceptional documentation and stakeholder alignment skills.

Basic Required Qualifications:

• Experience Profile: Minimum 5+ years of corporate experience in Data Governance, Data Quality Management, Regulatory Compliance, or related financial services tracks.

• Framework Domain Expertise: Minimum 2+ years of hands-on experience directly administering industry-standard data management frameworks, such as DAMA-DMBOK or DCAM (Data Capability Assessment Model).

• AI/ML Literacy: Strong conceptual grasp of artificial intelligence and machine learning pipelines, with clear foundational knowledge of responsible AI principles and bias identification.

• Technical Toolkit: Proven capability to write intermediate SQL queries independently to perform granular data analysis, cross-table validation, and metric extraction.

• Communication & Documentation: Elite written and oral English communication skills; demonstrated capacity to synthesize highly technical architectural patterns into accessible business policies and SOPs.

• Interview Mandate: Readiness to participate in an in-person interview cycle at our Mumbai operations center during the final evaluation stage.

Additional Preferred Qualifications:

• Holding verified industry certifications such as CDMP (Certified Data Management Professional), DGSP (Data Governance Signaling Professional), or privacy credentials like CIPP (Certified Information Privacy Professional).

• High emotional intelligence with a proven capacity to handle ambiguous, non-routine operational friction points through collaborative, cross-functional prioritisation.

What S&P Global Offers You

• World-Class Benefits Infrastructure: Comprehensive physical and mental health coverage, paired with highly flexible downtime policies.

• Financial Future Security: Competitive base pay, institutional retirement planning, and an innovative continuing education program featuring company-matched student loan contributions.

• Advanced Learning Access: Direct entry into rich global educational systems to continuously scale your professional analytics toolkit.