Technical Business Analyst

Analytic Services IncArlington, VA
8d

About The Position

ANSER is seeking a Technical Business Analyst to support requirements development and system delivery with a forward-looking focus on Artificial Intelligence (AI). In this role you will collaborate with business stakeholders and technical teams to translate needs into actionable requirements and identify opportunities for AI-driven optimization. You will guide efforts across the systems development lifecycle (SDLC), ensuring solutions deliver measurable value and are clearly documented for stakeholder alignment and approval.

Requirements

  • Active Secret Security Clearance
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or related field
  • Minimum of 5 years of experience as a Technical Business Analyst in software or systems development environments
  • Experience supporting AI, machine learning, automation, or advanced analytics initiatives
  • Demonstrated understanding of software development methodologies (Agile, Scrum, Waterfall)
  • Experience with system architecture concepts, APIs, integrations, and data modeling
  • Familiarity with AI/ML concepts (e.g., supervised learning, NLP, model evaluation, data pipelines)
  • Experience with requirements management tools (e.g., Jira, Azure DevOps, Confluence)
  • Ability to interpret technical documentation, schemas, and code snippets
  • Working knowledge of SQL and experience working with structured and unstructured data
  • Demonstrated ability to translate technical concepts into business-friendly language
  • Excellent documentation, communication, and stakeholder engagement skills

Nice To Haves

  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Familiarity with data governance, model risk management, and AI ethics frameworks
  • Exposure to prompt engineering, generative AI systems, or LLM-based applications
  • Certifications such as CBAP, PMI-PBA, Agile/Scrum, or AI-related coursework

Responsibilities

  • Elicit, analyze, and document business and technical requirements through stakeholder engagement and discovery sessions
  • Translate business needs into functional/non-functional requirements, user stories, and system specifications
  • Assess current-state systems, workflows, data, and integrations to identify gaps and improvement opportunities
  • Validate requirements through analysis of system logs, APIs, and data models
  • Evaluate feasibility, risks, and dependencies of proposed solutions
  • Identify and assess opportunities for AI/ML, automation, and data-driven solutions
  • Collaborate with technical teams to define AI use cases, data needs, and evaluation metrics
  • Recommend scalable, secure, and ethical AI implementation approaches
  • Support projects across all SDLC phases, including planning, design, testing, and deployment
  • Maintain requirements traceability, impact analysis, and change management processes
  • Support Agile delivery through backlog grooming, sprint planning, and acceptance criteria definition
  • Participate in solution validation, UAT coordination, and post-implementation reviews
  • Serve as liaison between business, product, and technical teams to ensure alignment
  • Develop and maintain documentation including BRDs, FRDs, process flows, and system diagrams
  • Present findings, recommendations, and tradeoffs to stakeholders and facilitate decision-making sessions
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