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Data Governance-Associate

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Hybrid

Data Governance-Associate

Morgan Stanley

Data Governance-Associate

Skills

AIRisk Management

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Hybrid

Published on:

18 August 2026

What they need


We're seeking someone to join our Data Governance & AI Non-Financial Risk team as an Associate primarily working as part of the Data Quality team but also supporting the implementation of Data Governance, Privacy, Information Management and AI Governance frameworks across the Firm.

In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is an Associate level position within the Data Quality team. This role focuses on design and implementation of enterprise-wide Data Governance initiatives, ensuring the Firm complies with regulatory requirements and manages data-related risks in line with business objectives. To achieve this, you'll partner with senior stakeholders, particularly in the Asia Pacific region, work with business and technology teams to ensure controls are effectively implemented and drive continuous improvement in our Data Governance processes.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Develop and implement Data Governance policies, standards, and procedures
  • Support implementation of regional and global regulatory requirements relating to data governance, privacy, data management and AI governance, translating regulatory expectations into practical governance controls and processes
  • Support the Firm's Data Governance framework, including Data Quality, Information Management, Privacy and AI controls designed to promote responsible use and protection of information assets
  • Partner with Privacy, Information Management, Technology and Legal stakeholders to ensure data is appropriately governed across its lifecycle
  • Oversee and support maintenance of the Firm's Data Deliverables Inventory, as well as Data Quality controls such as data catalogs, data lineage, and data quality rules
  • Monitor and report on data risk metrics, driving remediation plans for risk issues and incidents
  • Support regional Data Governance committees
  • Conduct training for business and technology owners on Data Governance roles and responsibilities and liaise between business and technology teams to ensure Data Governance-related tooling requirements are defined and prioritized

What you'll bring to the role:

  • 2+ years working experience in Data Governance, Data Management, Data Quality Information Management or non-financial risk management (particularly in domains relating to Regulatory Reporting and Model Risk)
  • Typically, 2+ years' relevant experience would generally be expected to find the skills required for this role
  • Proven ability to design, implement, and/or run Data Governance frameworks, as well as related control processes
  • Track record of working within large matrix organizations, across business and support function teams
  • Ability to identify, assess and challenge data-related risks, and drive effective remediation and control improvements across business and technology stakeholders
  • Strong organizational, communication, and stakeholder management skills

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

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