Operational Management: ITIL Process knowledge in delivering services and Proficiency in Service Management. Manage Service Level Agreements (SLAs) to ensure high standards of service delivery. Plan and manage shifts for team members to ensure 24/7 operational support.

Monitor operational performance and implement improvements as necessary. Ensure all operational processes are well documented and adhered to. Experienced in handling RCA and continuous improvements.

Data Platform Management: Manage the collection, storage, and processing of large datasets required for various business operations. Ensure the reliability, efficiency, and security of data platforms.

AI ML Operations Support: Collaborate with data scientists and machine learning engineers to develop, test, and optimize AI and ML models for various use cases. Implement monitoring tools and processes to evaluate the performance of AI/ML systems continuously.

Optimize AI/ML algorithms and workflows to enhance accuracy, efficiency, and speed. API Support: Oversee the development and maintenance of APIs to ensure seamless integration between systems and applications.

Ensure APIs are reliable, secure, and scalable to meet business needs. Solution Design and Deployment: Support the design, development, and deployment of technology solutions to address business challenges.

Work on projects involving predictive analytics, machine learning models, and other advanced technologies. Ensure collaboration on solutions to ensure they are integrated into existing workflows and business processes.

Team Management: Lead a team of engineers and support staff, providing guidance, mentorship, and support to achieve organizational objectives. Foster a collaborative and innovative team environment.

Qualifications:

Bachelors or Masters degree in computer science, engineering, or a related field. 5-9 years of experience in operations management, with a focus on data platforms, AI/ML operations, and API support.

Strong understanding of AI technologies, machine learning, deep learning, and natural language processing. Experience in project management and agile methodologies. Hands-on experience with cloud platforms such as AWS and Azure and data warehousing solutions like Snowflake.

Understanding of programming languages such as Python, R, or Java, and experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Knowledge of healthcare industry regulations and compliance requirements is a plus.

Strong analytical, problem-solving, and decision-making skills. Strong communication and interpersonal skills, with the ability to collaborate effectively with crossfunctional teams.

Additional Details

Global Grade : C
Remote work possibility : No
Local Skills : Data Operational Manager
Languages Required: : ENGLISH

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Data Operational Manager