Business Analyst - Data & AI Practice

Key Responsibilities

• Lead workshops, interviews, and discovery sessions with executive, operational, and technical stakeholders.
• Document current-state business processes, workflows, systems, and decision-making activities.
• Analyze business operations to identify inefficiencies, bottlenecks, risks, and opportunities for improvement.
• Develop process maps, workflow diagrams, user journeys, and business capability models.
• Understand organizational goals, KPIs, and business drivers.
• Evaluate business processes to identify opportunities for Artificial Intelligence, Machine Learning, Generative AI, Process Automation, Data Analytics, Predictive Modeling, and Intelligent Document Processing.
• Quantify potential business value, including cost reduction, productivity gains, revenue growth, risk mitigation, and customer experience improvements.
• Absorb and prioritize use cases based on business impact, feasibility, complexity, and ROI.

Requirements Gathering & Documentation

• Gather, document, and validate business, functional, and non-functional requirements.
• Create user stories, use cases, acceptance criteria, and process documentation.
• Translate business needs into requirements that can be consumed by data engineers, AI engineers, architects, and developers.
• Facilitate stakeholder reviews and approval processes.

Client Engagement

• Build trusted advisor relationships with client stakeholders.
• Facilitate workshops ranging from executive strategy discussions to operational process reviews.
• Present findings, recommendations, and business cases to leadership teams.
• Help clients understand AI capabilities, limitations, risks, and implementation considerations.

Solution Planning & Delivery

• Support Partner with Solution Architects and AI Engineers to align business requirements with technical solutions.
• Support development teams during solution design and implementation.
• Participate in testing, validation, and user acceptance activities.
• Aid in change management, adoption planning, and business readiness activities.

Required Qualifications

• Bachelor's degree in Business, Information Systems, Data Analytics, Operations Management, or related field, or equivalent experience.
• 3-7 years of experience as a Business Analyst, Process Analyst, Management Consultant, or similar role.
• Strong experience conducting stakeholder interviews and business process analysis.
• Experience documenting requirements, workflows, and business processes.
• Strong communication and presentation skills.
• Ability to facilitate workshops and lead discovery sessions.
• Experience working with cross-functional business and technical teams.

Preferred Qualifications

• Experience with Data & Analytics initiatives.
• Experience with AI, Generative AI, Machine Learning, or Intelligent Automation projects.
• Knowledge of process improvement methodologies such as Lean, Six Sigma, or Value Stream Mapping.
• Familiarity with Microsoft Fabric, Azure AI, Power BI, Copilot, Azure OpenAI, or similar platforms.
• Experience developing business cases and ROI models.
• Consulting or professional services experience.

Key Skills

• Business Skills: Business Process Analysis, Requirements Gathering, Stakeholder Management, Workshop Facilitation, Strategic Thinking, Business Case Development, Change Management.
• Technical Awareness: Data Analytics, AI & Generative AI Concepts, Process Automation, Data Governance, Reporting & Visualization, Enterprise Applications.

Success Metrics

• Number of business discovery engagements completed.
• AI and automation opportunities identified.
• Estimated and realized business value generated.
• Client satisfaction scores.
• Quality and completeness of requirements documentation.
• Adoption and success of delivered AI and data solutions.
• Contribution to pipeline generation and expansion opportunities.