Senior Technical BA/PO (IRC212524) (offline)

Job Description:

4+ years of experience as a Software Business Analyst and Scrum Product Owner;

Knowledge of SDLC and software development methodologies;

Ability to understand technical language read architecture diagrams;

Experience in building enterprise cloud-based solutions is a must;

Experience in engineering product requirements for web services, API endpoints is a must;

Experience working in ML/AI and GenAI projects is nice to have;

Ability to create clear requirements documentation;

Excellent knowledge of system analysis, business process analysis and optimization;

Strong attention to details, strong logic skills, ability to identify corner cases and provide the solution for the product;

Strong knowledge in practices and techniques of business analysis, requirements gathering and solutions assessment;

Advanced English, both spoken and written.


Job Responsibilities:

Perform stakeholders interviews to gather requirements, both business and technical requirements.

Work closely with the architects team to identify system requirements.

Write technical documentation and draw technical diagrams, which support understanding of functional and non-functional product requirements;

Manage the product backlog, including requirements management, prioritization, traceability, verification, and validation.

Transform product backlog into Jira Features and Stories, backlog review, refinement and estimation with the development team.

Support project management team in product roadmap creation, status reports and progress metrics.


Department/Project Description:

The Generative AI Platform project leverages cutting-edge AI and ML technologies to develop and deploy cloud-agnostic Gen AI applications on demand and enable users to create custom solutions for Sales, Marketing, Software Engineering, and Customer Service use cases. Fully managed RAG workflow including ingestion, retrieval, and augmentation of data, securely connected to many types of information consolidated and aggregated from multiple sources. The Platform's ultimate goal is to deliver the user-friendly LLM as a Service Model (LLMaaS) trained on internal company resources, which contributes to the adoption of AI among multiple consumers across the business.