Senior Business Analyst

Role: Senior Business Analyst

Location: Washington, DC (We prefer the candidates to be onsite to collaborate with the team, but fully equipped to support 100% remote work arrangements)

Duration: Long Term

Only USC for this role

Position Summary

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. The Senior BA will serve as a key advisor and operational partner to the AI Lab Director, providing strategic insights on project portfolio management, compliance readiness, and stakeholder needs, while ensuring that AI/ML solutions align with business objectives and meet federal security, privacy, and compliance obligations.

The AI Lab operates as a small, agile team where roles are fluid and practitioners collaborate closely across technical and business functions. This position requires someone who can work independently to manage complex AI/ML projects, direct compliance documentation efforts, facilitate agile ceremonies, and communicate effectively with diverse audiences ranging from data scientists and engineers to economists, attorneys, and senior leadership. The Senior BA will support the AI Lab Director in strategic planning, portfolio prioritization, and executive communications.

Responsibilities

Requirements Gathering and Business Analysis

• 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
• Develop process flow diagrams, use cases, mockups, and workflow documentation to support AI/ML application design
  
  

Agile Project Management and Coordination

• 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
• Direct and mentor team members on agile best practices and project delivery methodologies
• Utilize project management and tracking tools (Jira, Azure DevOps, or similar) to maintain visibility into project status and blockers
  
  

AI Governance, Compliance, and Documentation

• Direct compliance activities for AI Lab systems, including FISMA documentation, Privacy Impact Assessments (PIAs), Authority to Operate (ATO) processes, and system security plans
• Ensure AI/ML systems comply with federal IT governance frameworks including FISMA, FedRAMP, NISPOM, BISP procedures, OMB guidance, and Board privacy requirements
• 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

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• 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
• Participate in information gathering and tracking efforts to ensure ongoing compliance; interpret and apply federal requirements to AI/ML contexts
• Develop and maintain governance policies and standards for responsible AI development and deployment
  
  

Documentation and Communication

• Create comprehensive documentation including user guides, process documentation, technical specifications, workflow diagrams, test plans, agile materials, and application manuals
• Develop executive summaries, briefing materials, presentations, and talking points for senior leadership on AI Lab initiatives
• 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
  
  

Testing, Quality Assurance, and Deployment Support

• Develop and approve functional and system-level test cases for AI/ML applications; generate, maintain, and track test results
• Direct and participate in user acceptance testing (UAT) for AI Lab applications, coordinating with business users to validate functionality
• Work in partnership with data scientists and engineers to ensure test coverage, solution deployment readiness, and security vulnerability management
• Conduct and oversee performance, integration, baseline, and regression testing activities
• Coordinate deployment activities and ensure smooth transitions from development to production environments
• Track bugs, issues, and enhancement requests through resolution
• Validate that deployed AI/ML solutions meet business requirements and user needs
  
  

Strategic Planning and Continuous Improvement

• Provide strategic direction for AI Lab service delivery, process improvements, and operational effectiveness
• 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
  
  

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Required 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
• Expertise in requirements gathering and business analysis including ability to translate complex business needs into technical specifications
• 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
• Ability to work independently and direct others in solutions delivery, compliance efforts, and project coordination
• Excellent written and verbal communication skills
  
  

Preferred Qualifications

• Prior experience in U.S. federal government, particularly in regulatory, supervisory, or policy environments
• Experience with AI/ML project management or supporting data science teams including understanding of AI/ML development lifecycles and unique governance considerations
• Experience supporting or coordinating testing for data science applications or analytics tools
• Familiarity with AI governance frameworks and responsible AI practices (bias testing, model documentation, fairness assessments)
• Experience with project management tools such as Jira, Azure DevOps, Confluence, or similar platforms
• Knowledge of cloud platforms (AWS preferred) and understanding of cloud deployment processes
• Experience with process modeling and documentation tools (Visio, Lucidchart, Miro, or similar)
• Understanding of data governance, data privacy regulations, and data management best practices
• Experience in financial services, banking supervision, consumer finance, or regulatory data environments
• Familiarity with test automation concepts and tools
• Experience preparing materials for senior leadership and executives
• PMP, PMI-ACP, CBAP, or similar certifications
• Coursework or certification in information security, privacy, or compliance (CIPP, CISSP, or equivalent)