Business Analysis Advisor

2 months ago

Hyderabad, India Evernorth Full time

About Evernorth:
Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.

Role Title: Business Analysis Senior Analyst
Position Summary:

The GenAI IT Business Analyst Advisor 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. A minimum of one year of experience working as a business analyst or a similar role is required, with experience in GenAI and deep learning technologies and the healthcare industry being desirable.

Job Description & 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 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.
  • Assist in creating project plans, timelines, and resource allocation related to GenAI initiatives, ensuring projects progress on schedule and within budget.
  • Employ strong analytical and conceptual thinking skills to help stakeholders formulate GenAI-related requirements through interviews, workshops, and other methods.

Experience Required:

  • 8-12+ years of experience in business and system analysis, with a focus on GenAI, preferably in healthcare or a related industry

Experience Desired:

  • Experience working within the healthcare industry is desirable.
  • Familiarity with healthcare-specific IT systems and industry regulations, such as Electronic Health Record systems and HIPAA, is an added advantage.

Primary Skills:

  • 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, Confluence is a must.
  • Proficient in common office productivity tools, such as Microsoft Office Suite, Visio, and experience with cloud services like AWS Sagemaker and Azure ML.
  • Technical knowledge of programming languages like C/C++, Java, Python, and understanding of database systems, IT infrastructure, and GPU optimization for AI workloads.

Additional Skills:

  • 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.

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