Business Data Analyst - AI Experience

Qualifications

• 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
• To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process
• A coding challenge
• A case study
• Transparent
• Compliant

Benefits

• Rate: $55-$60/hour (depends on experience level)
• Matching professionals with the right IT jobs and career opportunities
• Equitable

Responsibilities

• Business Data Analyst - AI will have 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
• 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
• 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
• 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
• Summarize candidate responses
• Generate job-related insights
• Streamline communication and scheduling

Full Description

Job Description

Job Description:

Our client is seeking for an Business Data Analyst - AI to join their Our Digital Technology Team.

Business Data Analyst - AI will have 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 navigatingtraditional 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.

Rate: $55-$60/hour (depends on experience level).

This is a contract position with candidates expected to work 40 hours/ week.

About The Company

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 27 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

Helping every client make the best hiring decisions possible

Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used.

The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca)

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process.

This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

• Transcribe interviews

• Summarize candidate responses

• Generate job-related insights

• Streamline communication and scheduling

Please note that:

The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.

The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent): +

When applying for certain tech jobs, you may participate in:

• A technical interview

• A coding challenge

• A case study

• A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection: +

Every candidate's profile—including interviews, conversations, and assessments—is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate: +

At PTP, every candidate has the right to:

Request a non-AI interview path

Ask how your data is being used

Request access to transcripts or interview recordings

Request deletion of your AI-recorded interview

Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment: +

For more than 27 years, PTP has focused on putting people first—candidates, consultants, employees, and clients.

We're committed to a hiring process that is:

• Transparent

• Compliant

• Equitable

• Powered by innovative technology that enhances—not replaces—human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We're excited to learn more about you.

Equal Employment Opportunity: +

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.