Hands-on business analysis leadership supporting modernization of federal acquisition processes.
Intersection of federal acquisition, data analysis, automation, low-code technologies, and AI-enabled modernization.
Responsibilities
Lead discovery and requirements-definition for acquisition planning and pre-award workflows, including PWS development, market research, acquisition planning, and clause selection.
Analyze acquisition-process data using Python and SQL to validate business rules and support process improvement.
Document current-state processes, business rules, pain points, controls, data requirements, and dependencies.
Design future-state workflows that reduce manual effort and improve consistency and traceability.
Facilitate stakeholder workshops and translate business needs into requirements, user stories, and acceptance criteria.
Identify opportunities for AI, automation, digital forms, Microsoft Power Platform, and integrated data solutions.
Guide junior business analysts and collaborate with solution designers and engineering teams.
Prepare client materials, process documentation, and implementation guidance.
Contribute to modernization initiatives across multiple systems and stakeholder groups.
Requirements
7+ years of experience in business analysis, business transformation, acquisition modernization, management consulting, or related field.
Bachelor’s degree preferred.
Hands-on experience using Python for data preparation and analysis and SQL to query, join, validate, and interpret data.
Working knowledge of federal acquisition and pre-award processes, including FAR, PWS development, market research, and acquisition planning.
Demonstrated experience leading complex requirements-definition and process-redesign initiatives.
Strong analytical, problem-solving, communication, and facilitation skills.
Experience supporting a federal contracting office or advising federal acquisition organizations preferred.
Management consulting or professional-services experience preferred.
Working knowledge of Microsoft Power Platform, SharePoint/Microsoft 365, data and API concepts, or low-code environments is a plus.
Experience using generative AI or LLM tools is advantageous.
Must complete background investigation, suitability, credentialing, and system-access requirements for a Moderate Risk Public Trust position.
Conditions
Full-time W2 employment.
Primarily remote work within the United States.
Monday–Friday schedule, 40 hours per week.
Required availability during Department of the Interior core hours of 9:30 a.m.–3:30 p.m. ET.