Data Management Specialist

The Federal Reserve

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Kansas City, MOSt. Louis, MOCleveland, OHPhiladelphia, PAChicago, ILSan Francisco, CANew York, NYBoston, MAAtlanta, GAMinneapolis, MNDallas, TXRichmond, VA
Salary
$100,800–$135,520 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $147k
This role $118k
$89k $190k
below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $126,800–$167,137 — the blue band above. At the midpoint, this role pays about $118k versus about $147k for comparable roles.

Based on 240 similar postings.

Employer

About The Federal Reserve

The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.

The Federal Reserve currently has 36 open roles on FindRole.

Listed pay typically runs $113,250–$154,050 across 14 roles with salary data.

Most-posted roles

View all roles at The Federal Reserve

At a glance

TL;DR · Data Management Specialist

The Data Management Specialist joins the Supervision and Regulation team to support the Common Data Platform and Common Exam Platform initiatives. This role serves as a dedicated business subject matter expert for supervisory data, ensuring information is reliable, accurate, and consistent to support business intelligence, downstream decision-making, and future AI use cases. Key responsibilities include defining data quality rules, implementing monitoring processes, and developing deep expertise in examination data. You will partner with stakeholders to establish scalable data management solutions, including metadata cataloging, business data taxonomies, and data quality frameworks. Required skills include at least six years of data management experience, proficiency in data quality assessment, and the ability to translate business needs into technical requirements. You will also support data governance, policy implementation, and access management initiatives.

What you'll do

  • Serve as a subject matter expert to ensure supervisory data is reliable, accurate, and consistent for business analytics.
  • Define and implement data quality rules, metrics, and monitoring processes for supervisory data.
  • Develop deep expertise in examination data to support data quality standards and future AI use cases.
  • Partner with stakeholders to establish scalable data management solutions, including metadata cataloging and business taxonomies.
  • Act as a consultant for data management governance, standards, and issue resolution processes.
  • Support broader data initiatives including access management, data policy implementation, and quality remediation.
  • Translate business needs into technical requirements and deliver presentations to executive leadership.

What we're looking for

  • At least 6 years of relevant data management experience, including exposure to data quality assessment, monitoring, or remediation.
  • Bachelor’s degree with specialization in an information technology field from an accredited college or university, or an equivalent combination of education and experience.
  • Experience identifying business challenges, crafting functional plans with defined metrics, and executing to deliver business value.
  • Thorough understanding of systems and processes producing data supply chains and practical implementation of data lifecycle management.
  • Demonstrated ability to communicate technical concepts to non-technical professionals and translate business needs into technical requirements.
  • Familiarity with S&R and Board data policies, including access and confidential data use policies (preferred).
  • General understanding of S&R access management solutions and information security requirements (preferred).
  • Knowledge of ABAC and RBAC access models (preferred).

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