AI Business Analyst

Qualifications

• Data, Analytics & Technical Familiarity
• Use working knowledge of SQL, SAP, AWS (Redshift, Bedrock, etc.), and Google Analytics to identify source data, validate data requirements, and support analytical needs for AI and traditional digital projects
• 5+ years of experience as a Business Analyst within digital, technology, AI/ML, or data-focused teams
• Proven experience leading or supporting large-scale AI projects through full project life cycle into production
• Strong understanding of both AI-enhanced SDLC frameworks and standard SDLC/agile practices
• Demonstrated success working with high‑velocity technology teams in fast-paced digital environments
• Strong communication and facilitation skills, with the ability to translate complex concepts into actionable business requirements
• Practical experience engaging business partners, influencing decisions, and presenting technical ideas in a clear, compelling manner
• Working familiarity with SQL, SAP, AWS (Redshift, Bedrock), and Google Analytics
• Hands-on experience developing or collaborating on vibe-coded applications

Responsibilities

• This individual will play a key role in shaping, guiding, and delivering large‑scale AI initiatives—while also navigating traditional SDLC workflows when appropriate
• The ideal candidate has hands-on experience bringing AI solutions from concept to production and thrives in a fast‑paced digital environment
• AI Program & Project Leadership
• Lead business analysis activities for AI-enabled initiatives, guiding work from ideation through discovery, model considerations, development, testing, and production implementation
• Partner with data scientists and engineering teams to translate business opportunities into structured use cases, user stories, workflows, and acceptance criteria
• Support operational readiness including model integration, monitoring, data validation, and performance reporting
• Full SDLC & Agile Execution
• Navigate all phases of the SDLC—with and without AI components—ensuring clarity of requirements, sprint alignment, quality assurance, and deployment readiness
• Drive backlog creation and grooming and assist in sprint planning and iterative delivery in a high-velocity agile environment
• Maintain reporting and project metrics to track progress, dependencies, and business outcomes
• Business & Stakeholder Engagement
• Work directly with business partners to shape early concepts into well‑defined functional and technical requirements
• Influence decision‑making by helping stakeholders understand how best to leverage available AI tools, data assets, and technical capabilities
• Confidently present ideas, prototypes, feasibility assessments, and solution recommendations to business leadership and cross‑functional partners
• Facilitate workshops, discovery sessions, and demonstrations to ensure alignment on goals and outcomes
• Collaborate with technical teams to ensure data readiness, proper integration points, and alignment of data sources with solution needs
• Emerging Tech & Vibe Coding
• Apply prior experience with vibe coding to rapidly prototype, iterate, and validate concepts in collaboration with technical teams
• Serve as a champion and mentor for the technical team on vibe coding best practices, standards, and patterns to improve speed, consistency, and quality of prototype and app development
• Stay current on emerging AI capabilities, digital patterns, and platform advancements to help inform future opportunities

Full Description

Job Description: Senior AI Business Analyst

Overview

Our Digital Technology Team is seeking an experienced Senior AI Business Analyst with deep expertise in agile delivery, AI-driven project execution, and technology‑focused business partnership.

This individual will play a key role in shaping, guiding, and delivering large‑scale AI initiatives—while also navigating traditional SDLC workflows when appropriate.

The ideal candidate has hands-on experience bringing AI solutions from concept to production and thrives in a fast‑paced digital environment.

Key Responsibilities

AI Program & Project Leadership

• Lead business analysis activities for AI-enabled initiatives, guiding work from ideation through discovery, model considerations, development, testing, and production implementation.

• Partner with data scientists and engineering teams to translate business opportunities into structured use cases, user stories, workflows, and acceptance criteria.

• Support operational readiness including model integration, monitoring, data validation, and performance reporting.

Full SDLC & Agile Execution

• Navigate all phases of the SDLC—with and without AI components—ensuring clarity of requirements, sprint alignment, quality assurance, and deployment readiness.

• Drive backlog creation and grooming and assist in sprint planning and iterative delivery in a high-velocity agile environment.

• Maintain reporting and project metrics to track progress, dependencies, and business outcomes.

Business & Stakeholder Engagement

• Work directly with business partners to shape early concepts into well‑defined functional and technical requirements.

• Influence decision‑making by helping stakeholders understand how best to leverage available AI tools, data assets, and technical capabilities.

• Confidently present ideas, prototypes, feasibility assessments, and solution recommendations to business leadership and cross‑functional partners.

• Facilitate workshops, discovery sessions, and demonstrations to ensure alignment on goals and outcomes.

Data, Analytics & Technical Familiarity

• Use working knowledge of SQL, SAP, AWS (Redshift, Bedrock, etc.), and Google Analytics to identify source data, validate data requirements, and support analytical needs for AI and traditional digital projects.

• Collaborate with technical teams to ensure data readiness, proper integration points, and alignment of data sources with solution needs.

Emerging Tech & Vibe Coding

• Apply prior experience with vibe coding to rapidly prototype, iterate, and validate concepts in collaboration with technical teams.

• Serve as a champion and mentor for the technical team on vibe coding best practices, standards, and patterns to improve speed, consistency, and quality of prototype and app development.

• Stay current on emerging AI capabilities, digital patterns, and platform advancements to help inform future opportunities.

Qualifications

Required

• 5+ years of experience as a Business Analyst within digital, technology, AI/ML, or data-focused teams.

• Proven experience leading or supporting large-scale AI projects through full project life cycle into production.

• Strong understanding of both AI-enhanced SDLC frameworks and standard SDLC/agile practices.

• Demonstrated success working with high‑velocity technology teams in fast-paced digital environments.

• Strong communication and facilitation skills, with the ability to translate complex concepts into actionable business requirements.

• Practical experience engaging business partners, influencing decisions, and presenting technical ideas in a clear, compelling manner.

• Working familiarity with SQL, SAP, AWS (Redshift, Bedrock), and Google Analytics.

• Hands-on experience developing or collaborating on vibe-coded applications.

Preferred

• Experience supporting solutions involving LLMs, RAG workflows, MCP, automation, or machine learning models.

• Background with cloud data platforms, digital ecosystems, and modern architectural patterns.

• Prior experience in digital strategy, innovation, or analytics-driven product development.

• Experience with prompt engineering, including crafting, optimizing, and evaluating prompts for LLM-driven or generative AI solutions.