Lead Business Analyst (5-8 yrs)

Job Description :

The GenAI IT Business Analyst will work closely with business stakeholders, IT teams, and subject matter experts in the Global Healthcare Innovation Hub team to gather, analyze, and document business requirements for GenAI capabilities. They will translate these requirements into functional and non-functional specifications for use by IT teams in the development and integration of AI-related solutions. Additionally, they will be responsible for contributing to testing and working towards developing test scripts and test cases. Previous experience as a business analyst/QA analyst or a similar role is required, with preferred experience in GenAI along with software testing in the healthcare industry.

Responsibilities :

- Liaise with business stakeholders, IT teams, and subject matter experts to gather, analyze, and document GenAI-related business requirements, translating them into functional and non-functional specifications for use by IT teams in the development of AI technology solutions.

- Collaborate with project teams to design, develop, and implement IT solutions focusing on GenAI capabilities, aligning with the organization's objectives and industry best practices.

- Act as a bridge between business users and IT developers, ensuring that GenAI development efforts are consistent with the business requirements and strategic goals of the organization.

- Support the functional testing and user acceptance testing process for AI-related solutions, helping to identify defects, track them to resolution, and ensure the final deliverables meet the agreed-upon requirements.

- Participate in ongoing monitoring and measurement of GenAI technology solutions' effectiveness, providing insights and suggestions for continuous improvement.

- Develop and maintain documentation, such as flowcharts, use cases, data diagrams, and user manuals, to support business stakeholders in understanding the AI features and their usage.

- Employ strong analytical and conceptual thinking skills to help stakeholders formulate GenAI-related requirements through interviews, workshops, and other methods.

- Perform testing of AI models developed as part of business requirements.

Requirements :

- Proficiency in GenAI-related business analysis methodologies, including requirements gathering, process modeling, and data analysis techniques.

- Strong knowledge of software development lifecycle (SDLC) methodologies for AI-related technologies, such as Agile, Scrum, or Waterfall.

- Experience working with IT project management tools and knowledge of AI frameworks.

- Experience in Jira, and Confluence is a must.

- Proficient in common office productivity tools, such as Microsoft Office Suite, and Visio, and experience with cloud services like AWS Sagemaker and Azure ML.

- Technical knowledge of programming languages like C/C++, Java, and Python, and an understanding of database systems, and IT infrastructure is good to have but not mandatory.

- Knowledge and exposure to Software Testing Life Cycle (STLC) phases like test planning, design, execution defect tracking, etc.

- Excellent communication, interpersonal, and stakeholder management skills with a focus on GenAI capabilities.

- Relevant certifications, such as Certified Business Analysis Professional (CBAP), or AI-related credentials are a plus.

- Ability to design GenAI features and define user stories based on business requirements.

- Good understanding of the software delivery lifecycle for AI-related technologies and experience creating detailed reports and presentations.

Required Experience and Education :

- 5-8 Years of Experience.

- Previous experience as a Business Analyst / Quality Analyst or a similar role in the IT sector, with a focus on GenAI and deep learning technologies.

- Experience working within the healthcare industry is desirable.

- Experience in automation testing is desirable.

- Familiarity with healthcare-specific IT systems and industry regulations, such as Electronic Health Record systems and HIPAA, is an added advantage.

Desired Experience : Exposure to Gen AI and Cloud systems like AWS.