Director, Data & Analytics

Federal Reserve Bank of Philadelphia•Boston, MA
•$165,600 - $248,400•Onsite

About The Position

The Director of Data & Analytics at the Federal Reserve Bank of Boston leads a high-performing team responsible for self-service analytics, applied analytics, and modern data infrastructure. Reporting to the FRBB CFO, the Director sets the department’s vision and architecture, builds a multi-year roadmap, strengthens team capabilities, and manages an engagement model with functional domains across the Bank. The role is highly cross-functional and requires executive communication skills and the ability to translate business goals into actionable technical solutions. The Data & Analytics department enables a data-centric culture across the organization by accelerating time to insight and action through targeted analytical expertise, reliable data practices, and scalable solutions. The position is primarily on-site, and the employee must reside within commuting distance of the Boston office.

Requirements

  • Bachelor’s degree.
  • At least 10 years of experience in data or analytics, including leading multidisciplinary teams.
  • At least 5 years of people leadership experience, with demonstrated ability to attract and develop talent.
  • Advanced proficiency with Python or R, SQL, and modern visualization tools such as Tableau or Power BI.
  • Hands-on experience with cloud data services (AWS or Azure), data modeling, and modern ELT/ETL tooling.
  • Working knowledge of machine learning and AI techniques and their responsible application.
  • Exceptional written and verbal communication skills and strong executive presence.
  • Experience developing departmental strategies and technical roadmaps and driving change across complex organizations.
  • Must have resided in the United States for at least three years.
  • Must successfully pass the required two-phase security screening and associated checks.

Nice To Haves

  • Master’s degree in a quantitative field such as mathematics, statistics, computer science, or data science/analytics.

Responsibilities

  • Define a Data & Analytics vision aligned with Bank priorities and develop and maintain a multi-year roadmap across organizations.
  • Establish architectural standards, data quality principles, and fit-for-purpose technology choices; govern reusable patterns for data pipelines, models, and visualizations.
  • Incorporate responsible use of machine learning, natural language processing, and emerging AI capabilities to improve decision support.
  • Learn stakeholder needs, represent Data & Analytics to executive leadership, lead strategic planning meetings, clarify business requirements, and translate them into deliverables with measurable impact.
  • Present insights and recommendations to the Management Council and Executive Committee as needed.
  • Oversee reliable data pipelines and curated datasets supporting descriptive, diagnostic, and predictive analyses.
  • Ensure visualizations and decision-support tools are accurate, performant, and designed for self-service.
  • Establish service-level agreements, monitoring, and incident management for data products and platforms; prioritize and sequence work to maximize stakeholder value.
  • Partner with data and technology peers across the Federal Reserve System and with Data Strategy leaders to advance data stewardship, cataloging, and metadata practices.
  • Champion compliance with security, privacy, and records-retention policies and maintain audit readiness, including structured transfer of data at the end of a solution’s life.
  • Participate in and influence data-centric communities of practice and governance forums.
  • Recruit, develop, and retain talent; set goals, operating procedures, and growth plans; mentor staff on coding standards, statistical methods, product reviews, and best practices.
  • Foster an inclusive, learning-oriented culture and manage vendor and third-party partnerships.
  • Identify and mitigate operational risks across pipelines, models, and reporting, including single-point-of-failure risks.
  • Maintain documentation, version control, and business continuity for critical data assets.
  • Perform other duties as assigned.
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