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Morgan Stanley

Manages investments and advises on financing

Data Operations - Private Markets, Vice President, Investment Management

Data ManagementConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • 10–14+ years of experience in investment management, financial services or a similarly complex data environment, with meaningful experience in Data Operations, Investment Operations, data governance or related functions.
  • Strong understanding of Private Markets data and operating processes, ideally across private equity, private credit, real estate, infrastructure and other alternative investment strategies.
  • Experience working with data supplied by fund administrators, third-party service providers and internal investment, accounting or operational platforms.
  • Practical experience establishing or operating data governance and data quality frameworks, including Critical Data Elements, data ownership, business definitions, lineage, data quality rules, issue management and controls.
  • Demonstrated ability to investigate complex data issues, identify root causes and drive sustainable remediation across organizational and external-provider boundaries.
  • Strong understanding of operational controls and experience operating within a regulated financial-services environment.
  • Experience partnering with Technology and data teams to translate business requirements into scalable data processes, controls and platform capabilities.
  • A Bachelor's degree in finance, Accounting, Business, Information Systems, Data Management or a related discipline, or equivalent professional experience.
  • Strong communication and stakeholder-management skills, with demonstrated ability to influence across business, technology and external partners.

Responsibilities

  • Establish and operate data governance and quality frameworks for critical Private Markets data received from fund administrators, third-party providers and internal platforms.
  • Define and maintain Critical Data Elements, data ownership, business definitions, sourcing requirements and data quality standards across key Private Markets data domains.
  • Own data quality oversight, including completeness, accuracy, timeliness and consistency controls, exception management, issue tracking and remediation governance.
  • Drive root-cause analysis and sustainable remediation of data issues, partnering with fund administrators and internal data providers to address recurring issues at source.
  • Establish and maintain business data lineage and traceability across critical data flows, from source through transformation and downstream consumption.
  • Develop data quality rules, tolerances and preventative controls that reflect underlying business processes, materiality and downstream data usage.
  • Partner with Technology and Data Governance on data onboarding, platform enhancements, governance tooling and implementation of scalable data-quality capabilities.
  • Develop KPIs and management reporting covering data quality, timeliness, exceptions, remediation and recurring issues, using trends to drive continuous improvement.
  • Represent Private Markets Data Operations in relevant governance forums and partner with stakeholders across Operations, Investment teams, Finance, Risk, Technology and other consumers of Private Markets data.
  • Contribute to the continued development of the Private Markets Data Operations operating model, including increased automation, exception-based processing and clear accountability across global teams.
  • Operate with a strong sense of ethics and integrity in interactions with others and decision making.
  • Take accountability and ownership with a focus on delivering sustainable, long-term outcomes.
  • Bring a strong control mindset and apply sound judgment when managing data quality issues and exceptions.
  • Collaborate across teams and organizational boundaries to deliver effective solutions.
  • Combine attention to detail with the ability to understand broader business processes and data dependencies.
  • Pursue continuous improvement and operational modernization, challenging existing processes constructively.
  • Communicate clearly, translating complex data and operational issues into business implications and actions.
  • Commit to developing others and contributing to a collaborative, high-performing team environment.

Desired Qualifications

  • Familiarity with Private Markets and fund accounting platforms such as eFront, Investran or comparable platforms.
  • Familiarity with enterprise data governance, cataloguing and data-quality tooling and modern data platforms.

About the Company

Morgan Stanley

Manages investments and advises on financing

Morgan Stanley advises companies and governments on financing and manages investments for institutions, individuals, and families. Its business combines investment banking and securities trading with wealth management and an asset-management division that invests across public and private markets. Bankers arrange stock and bond sales and advise on mergers, while advisors build client portfolios and fund managers invest money under agreed strategies. The firm earns advisory and management fees, trading revenue, commissions, and interest from lending and deposits. Morgan Stanley was founded as a partnership in 1935 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1935

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