AI Data Operations Manager

Job Description

ABBYY is seeking an AI Data Operations Manager to join their team in Bangalore, India. This role offers flexible work options and a supportive environment where employees are valued and encouraged to grow. The ideal candidate will be responsible for developing and implementing AI data operations strategies and quality standards, ensuring data quality, and driving technical decisions for data infrastructure needs.ABBYY is a trusted partner for purpose-built AI and intelligent automation, serving over 10,000 customers, including many Fortune 500 companies.Responsibilities:

• Develop and implement AI data operations strategy and quality standards
• Design and implement comprehensive data quality monitoring systems
• Establish data validation workflows and acceptance criteria
• Create efficient processes for data acquisition, labeling, and validation
• Guide development of data operation automation tools
• Drive technical decisions for data infrastructure needs
• Oversee data labeling operations and vendor technical relationships
• Implement and maintain robust data quality assurance processes
• Develop tools and scripts for data operations automation
• Create monitoring dashboards and quality metrics systems
• Manage dataset versions and release processes
• Drive continuous improvement in data quality and efficiency
• Implement systems for tracking data inventory and usage
• Establish and monitor SLAs for data operations
• Design and optimize data pipeline efficiency
• Drive cost optimization for data operations
• Create automated quality control processes
• Establish metrics collection and reporting infrastructure

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field
• 5+ years of experience in ML operations or data management
• Proven track record in managing data operations at scale
• Experience with data quality management systems
• Strong background in operational excellence
• Programming proficiency in Python for automation
• Experience with data pipeline development
• Knowledge of data versioning systems (DVC, Git LFS)
• Expertise in data validation frameworks and tools
• Experience with cloud storage and data systems
• Strong background in ML data workflows
• Strong operational management capabilities
• Excellence in technical vendor management
• Clear communication and documentation skills
• Problem-solving and analytical abilities
• Team leadership and collaboration skills
• Data-driven decision making abilities

Benefits:

• Comprehensive medical, accidental, and life insurance
• Weekly wellness sessions to support your physical and mental well-being
• A generous paid time off policy
• Remote and hybrid working options
• Flexible hours
• Paid volunteering days
• Paid parental leave