Manager, Research Data, Analytics, and Technology - MA - R024870

Primary Location : DC-Washington

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Employee Status : Regular

Overtime Status : Exempt

Job Type : Standard

Work Shift: : 1st Shift

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Relocation Provided: : Yes

Compensation Grade Low: : FR PAY GRADE 29

Compensation Grade High: : FR PAY GRADE 29

Minimum Salary: : $142,700.00

Maximum Salary: : $285,200.00

Posting Date : Nov 25, 2024

Minimum Education

Bachelor's degree or equivalent experience

Minimum Experience

9

Summary

The Chief, Monetary Statistics and Analysis performs and oversees staff engaged in the following activities: Manages a subset of the division's monetary statistics (financial data); contributes to the division's research, analytical, and operational needs; provides leadership in data governance and in the use of data-related technology; maintains close partnerships with research, technical, and operational communities. The Chief strategizes, coordinates, and implements data-related policies and procedures as well as software system enhancements and new applications to facilitate the division's research, analysis, and operational activities. In coordination with the line officer, the Chief represents the division in a number of key liaison roles as it relates to the management of the division's monetary statistics. The Chief may also represent the Board on Federal Reserve System-level groups or with non-System groups in the public or private sectors.

Duties and Responsibilities

• Develops strategic objectives for the section with guidance from a line officer. Formulates the section’s strategic plans for executing its core responsibilities of overseeing a portion of the division’s monetary statistics. Identifies data-related issues, themes, or initiatives of strategic importance to the division and implements projects that are incorporated into the division's budget.
• Supervises employees in the section: Establishes priorities; assigns and directs work; recruits, interviews, and selects candidates; provides opportunities for training and development; provides developmental feedback and conducts performance conversations; recommends promotions; counsels staff and, when necessary, recommends disciplinary action.
• Understands the functional needs of the division particularly as they relate to its quantitative activities, in part by building close partnerships with the division’s research, technology, and operational communities. Also consults with various communities outside of the division, and with other experts within and outside the Federal Reserve System, on a variety of data and technology issues related to the mission of the section.
• Provides division leadership in terms of strategy, coordination, and implementation regarding how best to employ data governance and technology to facilitate the division’s evolving quantitative activities, in concert with division stakeholders and various Board and System data groups. Stays well-informed of evolving professional approaches and best practices regarding data-related governance and technological applications; actively collaborates and participates in strategic decisions regarding these topics.
• Independently anticipates issues and identifies and implements improvements to the division’s data-related policies, procedures, and technological systems and applications to enhance the division’s analytic potential.
• Represents the division in a number of key liaison roles as they relate to the management of the division’s monetary statistics, including Board or System committees, and represents the Board with outside groups in the public or private sectors, in concert with the division’s data and technical communities.

Position Requirements:

• FR-29 grade requires a bachelor's degree in business, economics, finance, information technology or a related field and a minimum of nine (9) years of related experience or a master's degree in a related field and seven (7) years of related experience.
• Professional knowledge of economics, finance, statistics, computer science, information technology, or a business administration plus at least six (6) years of experience that relates to creating, using, and/or maintaining complex data assets, preferably in a research environment.
• Solid understanding of the use of technological automation, computing, and data management tools used to facilitate quantitative research and analysis as well as a firm grasp of the financial and economic concepts measured by financial data.
• Proven track record of delivering complex projects and products on time and on budget, as well as experience leading Agile teams with demonstrated experience of building a culture of iterative improvement.
• Excellent written and oral communication skills with the ability to collaborate with stakeholders at all levels, including executive leadership.

Preferred Skills and Experience: 

• Demonstrated managerial skills in directing staff, setting priorities, and assessing staff performance. 
• Familiarity with cloud computing technologies and tooling, and leading teams that have successfully run data productions and pipelines using AWS, Google Cloud, or Azure. Familiarity with cloud platform services (e.g. compute, storage, networking, security).
• Prior experience deploying cloud-based data pipeline orchestration tooling or other modern data processing toolsets. Understanding of data pipelines, ETL processes, data warehousing (e.g. Snowflake, Databricks, Redshift) and tools like Apache Spark, Kafka, or Hadoop.
• Prior experience managing or overseeing DevOps and implementing standards for operational governance, including change management, implementing CI/CD pipelines, infrastructure as code (e.g. Terraform, Ansible), containerization (e.g. Docker) and orchestration tool (e.g. Kubernetes).
• Strong experience with organizational change management, policy development, and strategic planning. 

This position is located in Washington, D.C. and will require on-site presence of at least four (4) days per month and as business needs require. Relocation assistance is available.