CHIEF DATA SCIENTIST

Senior Level Position Duties

This position is located within the Justice Management Division-Office of the Chief Information Officer (OCIO) DOJ Headquarters in Washington D.C. OCIO is responsible for establishing DOJ-wide data and IT strategy in alignment with the priorities of the Attorney General and the President and in support of the broader law enforcement community; overseeing the engineering, design, acquisition, implementation, and operation of DOJ technology infrastructure and services, including IT processing facilities and telecommunications; establishing and maintaining Department-wide policies, standards, and procedures for data processing, automated information systems, and network security; and coordinating, planning, developing, implementing, and assessing major applications and office automation capabilities for DOJ end users. The primary purpose of this position is to serve as the DOJ OCIO senior leader on enterprise data strategy, governance, and architecture, leading the development and implementation of data-driven solutions, advanced analytics, and technology innovation to support mission-critical operations, inform executive decision-making, and enhance organizational performance across DOJ OCIO.

Primary Responsibilities include but are not limited to:

• Leading DOJ OCIO enterprise data strategy and governance to align data policies, standards, stewardship, and lifecycle practices with mission and organizational priorities.
• Advising the CIO and senior leadership on data strategy, analytics, emerging technologies, risks, and opportunities to support mission-critical decisions.
• Leading enterprise data architecture and modernization to provide secure, scalable, interoperable, and resilient data environments.
• Directing the integration and management of structured and unstructured data to improve data access, interoperability, and enterprise utilization.
• Leading advanced analytics, AI, ML, and data science initiatives to transform complex data into actionable mission and strategic insights.
• Directing the development of analytical models and methodologies to identify trends, patterns, risks, and opportunities for informed decision-making.
• Leading the evaluation and adoption of emerging technologies to modernize data, analytics, automation, and processing capabilities.
• Ensuring data governance and investment practices comply with Federal requirements including cybersecurity laws, NIST, FISMA, OMB guidance, and DOJ OCIO policies.