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Morgan Stanley

Manages investments and advises on financing

Vice President WM Data Platforms for Financials

Technical Product ManagementPosted on Nov 11
Full-timeBudapest, HungaryNo salary listedIn-person

About the Job

Requirements

  • Bachelor's or Master's degree in Business, Finance, Data Science, or a related field.
  • At least 8 years of experience in wealth management, data strategy, or business-driven data management.
  • Strong understanding of the wealth management business, financial instruments, market data, and reference data.
  • Experience leading data governance, regulatory compliance, and data-driven decision-making.
  • Ability to partner effectively with technology teams on data architecture, analytics, and system enhancements.
  • At least 4 years of people management experience.
  • Experience defining data quality requirements, business rules, metadata standards, and governance controls.
  • Proficiency with Jira, Confluence, and Agile methodologies to document business requirements, manage sprint planning, track delivery progress, and support release management activities.
  • Knowledge of emerging technologies such as artificial intelligence, machine learning, and cloud-based data solutions.
  • Ability to translate complex data issues into business strategies.

Responsibilities

  • Define and execute the strategic vision and roadmap for Wealth Management financial data platforms.
  • Act as Product Owner for the WM Middle Office financial data platform, overseeing prioritization, funding alignment, and delivery of business initiatives.
  • Establish and enforce data governance standards, controls, and policies to ensure data quality, integrity, security, and regulatory compliance.
  • Partner with technology, operations, finance, and business stakeholders to align platform capabilities with evolving business needs.
  • Evaluate and prioritize incoming requests based on strategic value, business impact, risk, regulatory obligations, and resource capacity.
  • Drive adoption of standardized financial data solutions to support reporting, analytics, operational processing, and client experience initiatives.
  • Provide business leadership and oversight for enterprise financial data assets, ensuring consistency, transparency, and scalability across the Wealth Management organization.
  • Ensure business alignment with data privacy regulations such as GDPR and CCPA, and financial industry requirements such as SEC and FINRA.
  • Partner with compliance and technology teams to mitigate data-related risks and implement appropriate security measures.
  • Lead data audits, reconciliations, and remediation efforts from a business perspective, ensuring adherence to internal and external regulatory requirements.
  • Work closely with technology teams responsible for data platforms, providing business requirements and strategic direction for enhancements.
  • Advocate for data-driven innovation, leveraging artificial intelligence, automation, and advanced analytics to drive insights and improve wealth management solutions.
  • Collaborate on the development and implementation of data architecture improvements, ensuring they align with business needs.

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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