Senior Business Analyst

About the role

We are looking for a Senior Business Analyst to support the AI Lab Director by anchoring the lab's requirements gathering, project coordination, governance activities, and stakeholder engagement. This role serves as the bridge between technical data scientists and business stakeholders, translating business needs into technical requirements, managing agile workflows, ensuring compliance with federal IT governance frameworks, and coordinating testing and deployment activities.

Responsibilities

• Evaluate and analyze business requirements from DCCA staff, leadership, and end-user needs for AI/ML solutions; recommend and design solutions that meet business needs
• Translate business requirements into structured functional specifications, user stories, and acceptance criteria that data scientists and engineers can build against
• Work directly with economists, bank examiners, policy analysts, and attorneys to elicit, refine, and document requirements for AI-enabled tools and applications
• Evaluate and advise on options, risks, costs versus benefits, system impacts, and business and technology priorities for AI/ML initiatives
• Conduct gap analysis and business process improvement assessments to identify opportunities for AI/ML automation and efficiency gains
• Create process flow diagrams, use cases, mockups, and workflow documentation to support AI/ML application design
• Direct and facilitate agile processes for AI Lab projects using Scrum and/or Kanban methodologies, including sprint planning, daily standups, retrospectives, and backlog grooming
• Coordinate development timelines, deliverables, and dependencies across AI/ML projects, ensuring alignment with stakeholder expectations and divisional priorities
• Manage project roadmaps, action plans, and strategic plans for AI Lab initiatives; track progress and communicate status to technical teams and business stakeholders
• Break down complex AI/ML initiatives into manageable epics, features, and user stories; prioritize work based on business value and technical feasibility
• Facilitate collaboration between data scientists, AI cloud engineers, business stakeholders, and subject matter experts
• Utilize project management and tracking tools (Jira, Azure DevOps, or similar) to maintain visibility into project status and blockers
• Direct and mentor team members on agile best practices and project delivery methodologies
• Ensure compliance activities for AI Lab systems, including FISMA documentation, Privacy Impact Assessments (PIAs), Authority to Operate (ATO) processes, and system security plans
• Coordinate security assessments, privacy reviews, and compliance audits for AI/ML applications and systems
• Serve as primary point of contact with the Board's security, privacy, and compliance offices on matters related to AI Lab systems
• Maintain AI Lab system inventory and ensure records are current and aligned with agency reporting requirements
• Support data governance activities including data classification, records management, and retention schedule compliance for AI/ML datasets
• Develop and maintain governance policies and standards for responsible AI development and deployment
• Create comprehensive documentation including user guides, process documentation, technical specifications, workflow diagrams, test plans, agile materials, and application manuals
• Prepare documentation packages for security assessments, compliance reviews, and governance audits
• Translate complex technical AI/ML concepts into clear communications for non-technical audiences
• Partner and liaise with customers, staff, project team members, sponsors, and stakeholders to manage expectations and ensure customer satisfaction
• Present project status, risks, and recommendations to technical and non-technical audiences including senior leadership
• Develop and report on metrics and trends regarding AI Lab services, processes, project delivery, and customer satisfaction
• Investigate and escalate complex business-oriented inefficiencies, workflow issues, and opportunities for improvement
• Identify emerging AI technologies and methodologies that could benefit DCCA's mission
• Direct business process improvement initiatives that leverage AI/ML capabilities

Qualifications

• U.S. citizenship
• Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field
• At least ten years of experience in business analysis, project management, or related roles within technology organizations
• Expert knowledge of Agile methodologies (Scrum, Kanban) including demonstrated ability to facilitate agile ceremonies and manage backlogs
• Strong experience with federal IT governance and compliance frameworks including FISMA, FedRAMP, privacy requirements (PIAs), and ATO processes
• Project management expertise including demonstrated ability to manage complex technical projects, coordinate cross-functional teams, and deliver results
• Experience with stakeholder management, consulting, and facilitating communication between technical and non-technical audiences
• Knowledge of software development lifecycle (SDLC), release management, and quality assurance practices
• Experience creating comprehensive documentation including technical specifications, user guides, process flows, and compliance materials
• Strong analytical and problem-solving skills with ability to evaluate complex situations and recommend solutions
• Excellent written and verbal communication skills