Governance & Delivery Lead (Data & Analytics) – Director
Baltimore, MD, US
- Pay
Multiple pay amounts — pay source
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Salary range for the position: $75,000 and $125,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and roll out the Target Operating Model and operating guardrails
Lead firm-wide data quality initiatives, validation and remediation
Prioritize the program backlog with Product and Technology teams
Oversee global team deliverables across regions
Report program progress and risks to senior leadership
From the employer’s posting
Define and implement operating guardrails (e.g., scoping frameworks, criticality methodologies, validation rules)
Lead firm-wide data quality initiatives, including validation frameworks, exception management, and remediation strategies
Prioritize program backlog in partnership with Product and Technology teams
Provide oversight of global team deliverables, ensuring high-quality, timely execution across regions
Provide clear, concise updates to senior leadership on program progress, risks, and outcomes
Education & alternatives
Required Skills > Bachelor's degree required; preferred fields include Management Information Systems (MIS), Engineering, Finance, Data Analytics, or related quantitative discipline > 4-7 years of experience in project management, operating model design, and/or regulatory/risk initiatives within Non-Financial Risk (NFR), 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, ability to analyze complex data requirements and drive consensus across diverse stakeholder groups > Exceptional communication skills, with the ability to distill complex topics into clear, actionable insights > Strong analytical and problem-solving skills, with experience working on complex datasets Helpful/Desirable Skills > 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 (LLMs) > Proficiency in Microsoft Office (Excel, PowerPoint, Word); familiarity with data tools (SQL, SPARQL queries, reporting tools) preferred
Tools in this posting
- SQL
- Excel
Source — Tool mentions in context
> Bachelor's degree required; preferred fields include Management Information Systems (MIS), Engineering, Finance, Data Analytics, or related quantitative discipline > 4-7 years of experience in project management, operating model design, and/or regulatory/risk initiatives within Non-Financial Risk (NFR), 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, ability to analyze complex data requirements and drive consensus across diverse stakeholder groups > Exceptional communication skills, with the ability to distill complex topics into clear, actionable insights > Strong analytical and problem-solving skills, with experience working on complex datasets Helpful/Desirable Skills > 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 (LLMs) > Proficiency in Microsoft Office (Excel, PowerPoint, Word); familiarity with data tools (SQL, SPARQL queries, reporting tools) preferred WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
Posting record
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- Live
- First seen by us
- Aug 14, 2026 · 76 days ago
- Recorded sightings
- 197
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Aug 12, 2026
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Baltimore, MD, US
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