We are seeking a Senior Business Analyst - AI with Data Types to join our dynamic team and play a crucial role in the development and optimization of AI products. This role requires a strategic thinker with expertise in business analysis, stakeholder management and data annotation workflows.
Responsibilities
- Facilitate requirement gathering sessions to understand business needs and translate them into actionable deliverables
- Develop BRD and FRD documents in collaboration with stakeholders and cross-functional teams
- Manage and enhance the annotation process ensuring alignment with AI and machine learning project goals
- Track project progress, identify issues and recommend solutions to optimize workflows
- Ensure the accuracy and quality of annotated datasets for AI model training
- Work alongside subject matter experts, data scientists and engineers to define annotation standards and requirements
- Lead stakeholder management including documentation reviews, feedback incorporation and communication of project updates
- Leverage in-depth knowledge of AI technologies such as LLM, RAG and various data types to guide project development
- Maintain thorough documentation of processes, tool configurations and quality control measures
- Participate in Agile processes such as sprint planning and retrospectives
Requirements
- 6-9 years of experience in business analysis, stakeholder management and working with AI products
- Knowledge of data annotation tools such as Label Studio, CVAT or similar platforms
- Understanding of AI and machine learning workflows, data types and dataset preparation
- Skills in developing and managing BRD, FRD and other documentation artifacts
- Competency in Agile methodologies and project management environments
- Expertise in managing cross-functional teams and facilitating effective collaboration
- Background in working with data annotation workflows for time-series, images, videos or text
Nice to have
- Familiarity with scripting languages like Python to automate repetitive annotation tasks
- Background in creating datasets for training machine learning models
- Showcase of flexible adaptation to new tools and emerging AI technologies