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Morgan Stanley

Manages investments and advises on financing

Governance & Delivery Lead - Data & Analytics, Director

Data ManagementConfirmed live in the last 24 hours
Full-timeBaltimore, MD, USA$75k - $125k /yrIn-person

About the Job

Requirements

  • A bachelor's degree is required; preferred fields include Management Information Systems (MIS), Engineering, Finance, Data Analytics, or a related quantitative discipline.
  • Four to seven years of experience in project management, operating model design, and/or regulatory or risk initiatives within Non-Financial Risk, Operational Risk Management, or Resiliency domains.
  • Demonstrated experience driving strategic design and large-scale operationalization.
  • Proven ability to manage senior stakeholders across functions and geographies.
  • Logical thinking and the ability to analyze complex data requirements and drive consensus across diverse stakeholder groups.
  • Exceptional communication skills and the ability to distill complex topics into clear, actionable insights.
  • Strong analytical and problem-solving skills, with experience working on complex datasets.

Responsibilities

  • Support the end-to-end design and execution of Operational Mapping strategic priorities, ensuring alignment with regulatory requirements and firm-wide risk frameworks.
  • Support translating strategy into actionable standards, workflows, and governance processes to enable consistent execution across business units.
  • Define and implement operating guardrails, including scoping frameworks, criticality methodologies, and validation rules, to drive consistent alignment and decision-making.
  • Partner with Technology to embed requirements into tooling capabilities, including data models, workflows, and automation.
  • Drive continuous improvement of the operating model, incorporating stakeholder feedback, data insights, and regulatory changes.
  • Lead key aspects of the Operational Mapping Program, assuming ownership of key delivery pillars.
  • Lead delivery of priority initiatives across data quality and program integrations.
  • Prioritize the program backlog in partnership with Product and Technology teams to ensure alignment with regulatory and business needs.
  • Provide oversight of global team deliverables, ensuring high-quality, timely execution across regions.
  • Lead firm-wide data quality initiatives, including validation frameworks, exception management, and remediation strategies.
  • Partner with stakeholders to ensure Operational Mapping data is accurate, complete, and fit for downstream consumption.
  • Advance machine-assisted and data-driven capabilities, including recommender models and linked data insights, to improve data quality and efficiency.
  • Oversee reporting outputs to support regulatory submissions and senior management insights.
  • Serve as a senior point of contact for stakeholders across Legal, Compliance, Risk, Technology, and Business functions.
  • Partner with program owners to align requirements, reduce duplication, and enable data reuse across the firm.
  • Influence senior stakeholders to adopt program standards, resolve data issues, and align on Target Operating Model design and implementation changes.
  • Provide clear, concise updates to senior leadership on program progress, risks, and outcomes.
  • Drive training, communication, and change management efforts to support adoption of Operational Mapping capabilities.
  • Ensure Operational Mapping data is leveraged across downstream programs, including Business Continuity Management, Recovery & Resolution Planning, Operational Resilience, and Third Party Risk Management.
  • Support integration with enterprise platforms and data sources.
  • Contribute to the evolution of the firm's data strategy, including adoption of semantic and linked data approaches, as well as agentic artificial intelligence.

Desired Qualifications

  • Familiarity with data governance, controls, metadata, lineage, or data quality frameworks.
  • Experience with senior governance forums and executive materials.
  • Ability to operate in ambiguous, matrixed environments.
  • Experience partnering with Technology teams to deliver data and platform solutions.
  • Knowledge of semantic data modeling approaches, knowledge graph implementations, and integration into large language models.
  • Proficiency in Microsoft Office, including Excel, PowerPoint, and Word; familiarity with data tools such as SQL, SPARQL queries, and reporting tools.

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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