Role Name: Business Analyst - AI & Innovation OnshoreLocation: East Rutherford, NJ (Hybrid)Duration: 12+ MonthsJob Description Travel to New York City (NYC) required based on business needs, stakeholder workshops, client discussions, and AI innovation initiatives.
Role OverviewWe are seeking a highly motivated Business Analyst (AI & Innovation) to bridge the gap between business stakeholders and the AI delivery team. This role will be responsible for identifying, evaluating, and shaping AI-driven opportunities across the organization while supporting the execution of the organization's AI roadmap.
The ideal candidate will work closely with business teams to understand challenges, gather requirements, identify high-value AI use cases, and coordinate Proof of Concepts (POCs) through implementation. This individual will play a critical role in accelerating AI adoption and ensuring business value realization from AI investments.
Key ResponsibilitiesAI Strategy & Roadmap Alignment- Partner with the AI leadership team to support execution of the enterprise AI roadmap.
- Align business initiatives with strategic AI priorities and transformation goals.
- Track AI initiatives, use cases, and innovation opportunities across departments.
- Assist in developing AI adoption plans, success metrics, and value realization frameworks.
Business Engagement & Use Case Discovery- Collaborate with business stakeholders to identify operational challenges and opportunities for AI-driven automation and insights.
- Facilitate workshops, discovery sessions, and stakeholder interviews.
- Translate business problems into clearly defined AI use cases.
- Assess feasibility, business impact, implementation complexity, and expected ROI of AI opportunities.
Proof of Concept (POC) Development- Work closely with Data Scientists, AI Engineers, Solution Architects, and Product Teams to define POC requirements.
- Document business requirements, user stories, process flows, and acceptance criteria.
- Coordinate POC execution timelines, testing activities, and stakeholder feedback sessions.
- Measure and report POC outcomes, benefits, risks, and recommendations for scaling.
Requirements & Documentation- Gather, analyze, and document business requirements for AI solutions.
- Create Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), user stories, process maps, and workflow documentation.
- Define key performance indicators (KPIs) and success criteria for AI initiatives.
- Maintain a repository of AI use cases, business cases, lessons learned, and best practices.
Stakeholder Management- Serve as the primary liaison between business teams and AI technical teams.
- Communicate project status, risks, dependencies, and milestones to stakeholders.
- Present findings, recommendations, and business cases to management and executive leadership.
- Drive stakeholder engagement and facilitate change management activities related to AI adoption.
AI Innovation & Market Awareness- Stay informed about emerging AI technologies, GenAI platforms, Copilot solutions, AI agents, automation tools, and industry trends.
- Recommend innovative AI solutions aligned with business objectives.
- Support innovation programs, hackathons, and ideation workshops.
