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Dir-Data Management

Gurugram, India

Pay
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Employment
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Apply at Moody's

What you’ll work on

Full posting
  • Define and own the regional data quality and coverage strategy

  • Lead, coach and develop managers and individual contributors across geographies

  • Own regional data quality and coverage outcomes, including remediation and audits

  • Oversee data remediation, enrichment and transformation initiatives in the region

  • Sponsor AI-enabled remediation and automation proposals using Databricks and Power BI

From the employer’s posting
Define and own the regional strategy for data quality, coverage, enrichment, and operational excellence
Lead, coach, and develop managers and individual contributors across multiple geographies
Own end-to-end accountability for regional data quality and coverage outcomes
Provide senior oversight of multiple data remediation, enrichment, and transformation initiatives across the region
Sponsor and approve technical proposals for process optimization, automation, and AI-enabled remediation

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in data management, data science, information systems, computer science, business, finance, economics, or a related discipline

Preferred experience

  • Master's degree in a relevant discipline or an MBA is preferred
Qualification wording
Bachelor's degree in data management, data science, information systems, computer science, business, finance, economics, or a related discipline
Master's degree in a relevant discipline or an MBA is preferred
Education & alternatives
Education - Bachelor's degree in data management, data science, information systems, computer science, business, finance, economics, or a related discipline - Master's degree in a relevant discipline or an MBA is preferred
- Bachelor's degree in data management, data science, information systems, computer science, business, finance, economics, or a related discipline - Master's degree in a relevant discipline or an MBA is preferred - Equivalent combinations of education and directly relevant professional experience may be considered

Tools in this posting

  • Python
  • SQL
  • Databricks
  • Excel
  • Power BI
Source — Tool mentions in context
- Strong stakeholder-management and influencing skills, including the ability to build alignment across senior, cross-functional stakeholders including Sales, Product, Engineering, and Data Governance - Working knowledge of SQL and modern data and analytics platforms, with proficiency in Excel, Power BI, PowerPoint, and generative AI tools such as Copilot; experience with Python and Databricks preferred - Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
- Monitor regional performance metrics related to data quality, coverage, efficiency, and throughput, using insights to inform strategic decisions, prioritize investments, and present findings to senior leadership - Sponsor and approve technical proposals for process optimization, automation, and AI-enabled remediation, leveraging tools such as Databricks, Power BI, and generative AI platforms to improve scalability and efficiency - Ensure robust quality control frameworks are in place and consistently applied, sponsoring periodic audits and reviews to validate adherence to data standards and governance requirements

Posting record

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Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier listing.

Status in our records
Live
First seen by us
Oct 12, 2026 · 12 days ago
Recorded sightings
57
Last seen by us
Oct 24, 2026

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Job description

View original posting ↗

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 


Skills and Competencies

  • Strong strategic leadership and people-management capabilities, including the ability to coach leaders, build organizational capability, and develop high-performing teams across multiple geographies
  • Deep understanding of data management, data quality, coverage, enrichment, remediation, governance, lineage, and operational controls in a complex, large-scale data environment
  • Demonstrated ability to establish priorities, define measurable outcomes, manage capacity, and facilitate portfolio trade-off decisions based on strategic value, customer impact, and risk
  • Strong stakeholder-management and influencing skills, including the ability to build alignment across senior, cross-functional stakeholders including Sales, Product, Engineering, and Data Governance
  • Working knowledge of SQL and modern data and analytics platforms, with proficiency in Excel, Power BI, PowerPoint, and generative AI tools such as Copilot; experience with Python and Databricks preferred
  • Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization

Education

  • Bachelor's degree in data management, data science, information systems, computer science, business, finance, economics, or a related discipline
  • Master's degree in a relevant discipline or an MBA is preferred
  • Equivalent combinations of education and directly relevant professional experience may be considered

Responsibilities

The Director – Data Management defines and executes regional strategy for data quality, coverage, enrichment, and operational excellence across Moody's Company Data, leading teams and driving scalable, technology-enabled data capabilities.

  • Define and own the regional strategy for data quality, coverage, enrichment, and operational excellence, ensuring alignment with Moody's broader Company Data strategy, business priorities, and customer needs
  • Lead, coach, and develop managers and individual contributors across multiple geographies, building a strong leadership bench by identifying, developing, and retaining high-potential talent
  • Own end-to-end accountability for regional data quality and coverage outcomes, ensuring remediation and enrichment efforts meet defined standards, governance, lineage, and audit requirements
  • Serve as a strategic partner to Sales, Product Strategy, Content, Engineering, and other key teams to translate business and customer needs into scalable data initiatives and roadmap priorities
  • Provide senior oversight of multiple data remediation, enrichment, and transformation initiatives across the region, ensuring alignment to strategic goals, adequate resourcing, and measurable impact
  • Monitor regional performance metrics related to data quality, coverage, efficiency, and throughput, using insights to inform strategic decisions, prioritize investments, and present findings to senior leadership
  • Sponsor and approve technical proposals for process optimization, automation, and AI-enabled remediation, leveraging tools such as Databricks, Power BI, and generative AI platforms to improve scalability and efficiency
  • Ensure robust quality control frameworks are in place and consistently applied, sponsoring periodic audits and reviews to validate adherence to data standards and governance requirements

About the Team

Our Data Management team is responsible for driving data quality, coverage, enrichment, and operational excellence across Moody's Company Data. We partner closely with Sales, Product Strategy, Content, Engineering, and Data Governance to translate customer and business needs into trusted, scalable data capabilities that power Moody's Analytics products and services globally. By joining our team in India, you will be part of a forward-thinking, technology-enabled environment where data-driven decision-making, automation, and AI-enabled innovation are at the core of how we work — helping Moody's deliver accurate, consistent, and complete data to clients around the world.

 


Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Source details

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Location & working pattern

Gurugram, India

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