Senior IT Business Analyst - AI-Driven, Scaled Agile

Technology Partners

Bridgeton (MO)

Hybrid

USD 45,000 - 66,000

Full time

44 hours ago

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Job summary

Technology Partners is seeking a Senior IT Business Analyst to lead requirement engineering in scaled Agile environments, leveraging AI-driven analytics and enterprise tools. Hybrid role based in Bridgeton with at least two days on-site per week.

You will translate complex business needs into user stories, specs, and processes, mentor junior analysts, and drive release planning across multiple delivery streams with a focus on AI-enhanced documentation and decision making.

Qualifications

3–5+ years of BA experience with Agile delivery.
Ability to translate business needs into strategic roadmaps, user stories, and specifications.
Experience leading requirements engineering in scaled Agile frameworks such as SAFe or LeSS.
Strong data literacy including SQL, data warehousing, and AI analytics platforms.
Proficiency with enterprise Agile tools like Azure DevOps and MS Office.
Experience facilitating Agile ceremonies like backlog refinement, sprint planning, and cross-team coordination.
Certification: IIBA AAC, PMI-PBA, SAFe PO/PM or equivalent.

Responsibilities

Lead feasibility assessments and leverage AI-assisted research to recommend optimal solutions.
Conduct gap analysis between existing systems and new requirements, informing backlog prioritization.
Collaborate with Product Owners and architects to refine epics into detailed user stories with acceptance criteria.
Author, maintain, and leverage AI-driven artifacts including user stories, process flows, and technical specs.
Lead data analysis initiatives using AI-powered analytics platforms and traditional tools, synthesizing insights for strategic decisions.
Partner with stakeholders to define program vision, epic roadmaps, and objectives that support business outcomes.
Develop release strategies, sprint inputs, and stakeholder communication plans to enable iterative delivery.
Communicate program progress, release plans, and insights through dashboards, Agile ceremonies, and automated reports.
Identify cross-team dependencies and architectural risks, facilitating resolution through Agile coordination.
Define acceptance testing frameworks, design behavior-driven test strategies, and oversee testing across increments.
Lead continuous improvement efforts within the BA team by adopting Agile best practices and AI tools.
Mentor less experienced Business Analysts on Agile analysis, documentation, and AI workflows.