Website Wadhwani Foundation
Key Responsibilities Requirements Gathering:
Work closely with business stakeholders to elicit and document clear and comprehensive requirements for AI and digital transformation projects.
Understand business processes, pain points, and strategic objectives.
Business Process Analysis:
Analyze current business processes and identify opportunities for process optimization and automation through AI and digital technologies.
AI Solution Scoping:
Collaborate with the AI and Digital Transformation Officer and technical teams to define the scope and feasibility of AI projects, considering factors like resource requirements and potential impact.
Data Analysis:
Analyze data sources and data quality to ensure that AI projects have access to reliable and relevant data for model training and decision-making.
Use Case Prioritization:
Evaluate and prioritize AI use cases based on their potential business value and alignment with organizational goals.
Change Management:
Support change management efforts during AI and digital transformation initiatives, including user training and communication.
User Acceptance Testing (UAT): Coordinate UAT activities, ensuring that AI solutions and digital transformations meet business requirements and expectations.
Project Documentation:
Maintain detailed documentation of business requirements, process workflows, and project-related artifacts.
Collaboration:
Work closely with cross-functional teams, including AI engineers, data scientists, developers, and stakeholders, to ensure smooth project delivery. Conducting research for CAIDO/AIDO
Skill and Experience Education:
A Bachelors or Masters degree in Business Administration, Computer Science, Data Science, or a related field provides a strong foundation for this role.
Business Analysis Experience:
Proven experience as a Business Analyst of at least 7 years, working on projects related to AI, digital transformation, or technology initiatives.
Domain Knowledge:
Familiarity with the industry or domain in which the AI and digital transformation projects will be implemented.
AI and Digital Transformation Knowledge: Understanding of AI technologies, machine learning concepts, and digital transformation frameworks.
Data Literacy:
Familiarity with data concepts, data modeling, and data analysis techniques.
Analytical Skills:
Strong analytical and problem-solving skills to effectively identify business needs and recommend suitable AI solutions.
Communication:
Excellent communication and interpersonal skills to interact with stakeholders at all levels and convey complex technical concepts to non-technical audiences
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