Skill : Tech Business Analyst (AI)
Location : Columbus OH / Wilmington DE
Experience 8 to 12 Experience
Job Description Business Analyst (AI / Analytics Exposure)
Role Summary
Looking for a Business Analyst with AI exposure who can act as a strong bridge between business stakeholders data science / AI teams and engineering. The ideal candidate will bring core BA skills (requirements process modeling stakeholder management) along with hands-on or working knowledge of AI/ML analytics and automation-driven use cases.
This role supports AI enabled transformation initiatives including process automation intelligent decisioning predictive analytics and agentic assisted workflows.
Key Responsibilities
Business & Functional Analysis
- Elicit analyze and document business functional and non-functional requirements for AI enabled solutions.
- Work closely with business stakeholders to identify AI / analytics use cases that improve efficiency productivity risk control or customer experience.
- Translate business problems into AI problem statements (e.g. prediction classification recommendation NLP use cases).
- Create process flows user journeys use cases and acceptance criteria for AI-driven capabilities.
- Support UAT validation of AI outputs and business sign off.
AI / Data Collaboration
- Act as a liaison between business data science and engineering teams.
- Support definition of:
- Training data requirements
- Data quality rules
- Model assumptions and constraints
- Assist in interpreting model outputs confidence scores explainability (XAI) and business impacts.
- Partner with teams delivering ML models LLM based solutions and agentic AI capabilities.
Process & Automation Enablement
- Support automation initiatives by mapping as is / to be processes and measuring productivity gains.
- Track benefits such as cost optimization cycle time reduction productivity uplift and quality improvements.
Governance & Documentation
- Ensure compliance with data privacy model governance and regulatory expectations (especially in BFSI environments).
- Maintain structured documentation:
- BRDs / FRDs
- AI use case canvases
- Data dictionaries
- Model impact assessments
Required Skills & Experience
Core BA Skills
- 10 years of experience as a Business Analyst / Techno Functional BA.
- Strong experience in:
- Requirements gathering
- Stakeholder management
- Agile delivery (user stories backlog grooming)
AI / Analytics Exposure (Must Have)
- Working knowledge of:
- Machine Learning concepts (supervised/unsupervised learning)
- NLP / LLM use cases (chatbots summarization classification)
- Predictive & descriptive analytics
- Agentic AI frameworks
- AI assisted SDLC tools
- Experience working alongside:
- Data scientists
- AI engineers
- Analytics teams
- Ability to translate AI outputs into business friendly insights.
Note: Hands on model building is not mandatory but conceptual clarity and applied usage is expected.
Nice to Have Skills
- Familiarity with:
- Cloud platforms (AWS / Azure / GCP AI services)
- Data platforms (Snowflake Databricks BigQuery)
- BFSI / regulated domain exposure (Risk Ops Compliance Customer Analytics).
Key Success Factors
- Ability to bridge business intent and AI capability
- Strong analytical and storytelling mindset
- Comfort operating in ambiguity and emerging AI use cases
Outcome oriented thinking (business value > technology)
Skill : Tech Business Analyst (AI) Location : Columbus OH / Wilmington DE Experience 8 to 12 Experience Job Description Business Analyst (AI / Analytics Exposure) Role Summary Looking for a Business Analyst with AI exposure who can act as a strong bridge between business stakeholders data s...
Skill : Tech Business Analyst (AI)
Location : Columbus OH / Wilmington DE
Experience 8 to 12 Experience
Job Description Business Analyst (AI / Analytics Exposure)
Role Summary
Looking for a Business Analyst with AI exposure who can act as a strong bridge between business stakeholders data science / AI teams and engineering. The ideal candidate will bring core BA skills (requirements process modeling stakeholder management) along with hands-on or working knowledge of AI/ML analytics and automation-driven use cases.
This role supports AI enabled transformation initiatives including process automation intelligent decisioning predictive analytics and agentic assisted workflows.
Key Responsibilities
Business & Functional Analysis
- Elicit analyze and document business functional and non-functional requirements for AI enabled solutions.
- Work closely with business stakeholders to identify AI / analytics use cases that improve efficiency productivity risk control or customer experience.
- Translate business problems into AI problem statements (e.g. prediction classification recommendation NLP use cases).
- Create process flows user journeys use cases and acceptance criteria for AI-driven capabilities.
- Support UAT validation of AI outputs and business sign off.
AI / Data Collaboration
- Act as a liaison between business data science and engineering teams.
- Support definition of:
- Training data requirements
- Data quality rules
- Model assumptions and constraints
- Assist in interpreting model outputs confidence scores explainability (XAI) and business impacts.
- Partner with teams delivering ML models LLM based solutions and agentic AI capabilities.
Process & Automation Enablement
- Support automation initiatives by mapping as is / to be processes and measuring productivity gains.
- Track benefits such as cost optimization cycle time reduction productivity uplift and quality improvements.
Governance & Documentation
- Ensure compliance with data privacy model governance and regulatory expectations (especially in BFSI environments).
- Maintain structured documentation:
- BRDs / FRDs
- AI use case canvases
- Data dictionaries
- Model impact assessments
Required Skills & Experience
Core BA Skills
- 10 years of experience as a Business Analyst / Techno Functional BA.
- Strong experience in:
- Requirements gathering
- Stakeholder management
- Agile delivery (user stories backlog grooming)
AI / Analytics Exposure (Must Have)
- Working knowledge of:
- Machine Learning concepts (supervised/unsupervised learning)
- NLP / LLM use cases (chatbots summarization classification)
- Predictive & descriptive analytics
- Agentic AI frameworks
- AI assisted SDLC tools
- Experience working alongside:
- Data scientists
- AI engineers
- Analytics teams
- Ability to translate AI outputs into business friendly insights.
Note: Hands on model building is not mandatory but conceptual clarity and applied usage is expected.
Nice to Have Skills
- Familiarity with:
- Cloud platforms (AWS / Azure / GCP AI services)
- Data platforms (Snowflake Databricks BigQuery)
- BFSI / regulated domain exposure (Risk Ops Compliance Customer Analytics).
Key Success Factors
- Ability to bridge business intent and AI capability
- Strong analytical and storytelling mindset
- Comfort operating in ambiguity and emerging AI use cases
Outcome oriented thinking (business value > technology)
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