Executive Officer- Artificial Intelligence

Rozeegpt; Karachi Division; On-site; PKR 2,000,000 - 3,500,000; Full time

Job summary

EFU Life Assurance Ltd. seeks an Executive Officer - Artificial Intelligence to drive strategic AI development, governance, and enterprise integration across the organization.

The role focuses on formulating AI roadmaps aligned with business goals and ensuring responsible AI practices in all projects. You will apply Python programming, machine learning, deep learning, and database management to enhance operations, collaborate with multiple departments, and communicate complex AI concepts to

Qualifications

• Minimum three years of experience in AI or related field.
• Strong foundation in computer science or related fields.

Responsibilities

• Develop AI strategies and roadmaps aligned with business goals.
• Establish AI governance policies for responsible AI use.
• Design data strategy and governance frameworks.
• Manage the AI portfolio and product lifecycle across units.
• Leverage Python, ML and DL to build and optimize AI models.
• Ensure data availability and integrity with SQL and databases.
• Collaborate with departments to deploy enterprise-wide AI solutions.
• Present progress to stakeholders and drive decisions.
• Stay updated on emerging AI technologies to maintain competitive advantage.
• Troubleshoot AI system issues and scale solutions.

Skills

Python

Machine Learning

Deep Learning

Database Management

Education

Bachelor's degree in Computer Science

Tools

SQL

Job description

The Executive Officer - Artificial Intelligence at EFU Life Assurance Ltd. is a professional responsible for driving the strategic development, governance, and integration of artificial intelligence solutions within the organization. This role involves formulating AI strategies and roadmaps that align with business objectives and ensuring responsible AI practices across all projects. The professional applies expertise in AI portfolio and product management, coupled with skills in Python programming, machine learning, deep learning, and database management, to enhance operational efficiency and foster innovation.

This role requires a minimum of three years of experience and a strong foundation in computer science or related fields. The Executive Officer utilizes analytical and problem-solving abilities to develop data strategies and automate workflows. Effective communication and presentation skills are essential for articulating complex AI concepts and influencing stakeholders. Although this position does not involve team management, it plays a critical role in collaborating with various departments to adopt and integrate enterprise-wide AI solutions responsibly and efficiently.

Responsibilities

• Develop and implement comprehensive AI strategies and roadmaps aligned with the company's goals and industry best practices.
• Ensure AI governance policies are established and maintained to promote responsible and ethical AI usage throughout the organization.
• Design and oversee data strategy and governance frameworks to ensure high-quality data management supporting AI initiatives.
• Manage the AI portfolio and product lifecycle, coordinating with different business units to drive successful AI adoption and integration.
• Leverage Python programming and advanced machine learning and deep learning techniques to design, develop, and optimize AI models and solutions.
• Maintain and utilize SQL and database management skills to ensure data availability, integrity, and accessibility for AI projects.
• Analyze complex datasets to identify opportunities for process automation and operational efficiency improvements using AI.
• Collaborate with stakeholders across departments to ensure AI implementations meet business needs and regulatory requirements.
• Present AI concepts, progress reports, and project outcomes to internal and external audiences to facilitate transparency and decision making.
• Stay current with emerging AI technologies and trends to continuously improve AI applications and maintain competitive advantage.
• Assist in troubleshooting AI system issues, optimizing model performance, and ensuring scalability and robustness of AI solutions.