Associate Manager

Work Flexibility: Hybrid

What you will do:

• Manager Data Acquisition and Preprocessing, providing guidance, mentorship, and performance evaluations.
• Define data collection strategies, including data sources, annotation guidelines, and quality standards.
• Manage data ingestion pipelines, ensuring data is properly cleaned, transformed, and structured for AI model training.
• Collaborate with data engineers to develop data cleaning and preprocessing workflows
• Develop and implement strategies to drive the efficient development, deployment and management of the data engineering platforms.

What you need:

• A minimum of 8+ years of experience in Clinical and Med Tech industry.
• Educational qualification of BS /MS or equivalent
• Expertise in managing AI Data cleaning, labeling and Optimization for data sources, annotation guidelines, and quality standards.
• Stay updated on relevant regulations and industry standards related to AI development and deployment.
• Develop and implement responsible AI guidelines, ensuring models are fair, transparent, and accountable.
• Conduct risk assessments to identify potential ethical concerns associated with AI applications.
• Able to lead a team of data analysts, data engineers, and data labelers, assigning tasks and providing guidance.
• Collaborate with data scientists, AI engineers, and product managers to align data strategies with project objectives.
• Communicate data quality issues and validation results to stakeholders effectively.

Preferred:

• Strong understanding of machine learning algorithms, data preprocessing techniques, and statistical analysis.
• Expertise in data quality metrics and validation methodologies.
• Experience with data labeling and annotation processes.
• Proficiency in programming languages like Python and SQL for data manipulation and analysis.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) for data storage and processing.
• Knowledge of ethical AI practices and regulatory compliance requirements.
• Excellent communication and leadership skills to manage cross-functional teams

Travel Percentage: None