Director AI Tech Lead

Job Description Role Overview: As a Director: AI Tech Lead, you will be responsible for leading the Artificial Intelligence (AI) strategy, development, and implementation across the function. You will collaborate with other business functions and departments to design, develop, and deploy AI solutions in alignment with the bank's AI strategy. Your role will focus on driving business value, improving operational efficiency, and enhancing customer experience through AI technology. Key Responsibilities: - Strategic Planning and Leadership - Develop and execute the AI strategy aligned with the bank's overall technology vision and objectives. - Collaborate with cross-functional teams to identify opportunities for AI adoption and prioritize projects. - Provide technical leadership and guidance to the AI development team. - AI Development and Deployment - Design, develop, and deploy AI models and algorithms meeting business requirements and regulatory standards. - Lead the development of AI-powered solutions for various business domains, including P&L accounting and process automation. - Ensure seamless integration with existing systems and data platforms. - Research and Innovation - Stay up-to-date with the latest advancements in AI and machine learning (ML) technologies. - Collaborate with other divisions and central AI teams to identify emerging trends and technologies for the division. - Develop proof-of-concept projects and pilots to explore new AI applications. - Data Management and Analytics - Ensure data quality, security, and governance for AI model development and deployment. - Collaborate with the data analytics team to develop and implement data-driven insights and recommendations. - Regulatory Compliance and Risk Management - Ensure compliance of AI solutions with regulatory requirements and industry standards. - Conduct regular risk assessments to identify vulnerabilities and proactively mitigate them. - Collaboration and Communication - Collaborate with stakeholders across the organization to ensure alignment and buy-in for AI initiatives. - Communicate technical results and recommendations to non-technical stakeholders effectively. Qualification Required: - Education and Experience - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field. - Minimum 5+ years of experience in AI, ML, or data science, with at least 2+ years in a leadership role. - Technical Skills - Proficiency in Python, R, or other programming languages. - Experience with deep learning frameworks like TensorFlow, PyTorch. - Familiarity with NLP and LLM architecture. - Knowledge of data management platforms such as Hadoop, Spark, BQ, ADX. - Leadership and Management - Proven track record of leading high-performing teams and driving results-oriented projects. - Experience with Agile methodologies and Scrum frameworks. - Strong communication and interpersonal skills. Additional Company Details: The company promotes a positive, fair, and inclusive work environment where all individuals are welcomed. They support continuous learning, offer a culture of empowerment, and celebrate the successes of their people. Note: The company website can be visited for further information. Role Overview: As a Director: AI Tech Lead, you will be responsible for leading the Artificial Intelligence (AI) strategy, development, and implementation across the function. You will collaborate with other business functions and departments to design, develop, and deploy AI solutions in alignment with the bank's AI strategy. Your role will focus on driving business value, improving operational efficiency, and enhancing customer experience through AI technology. Key Responsibilities: - Strategic Planning and Leadership - Develop and execute the AI strategy aligned with the bank's overall technology vision and objectives. - Collaborate with cross-functional teams to identify opportunities for AI adoption and prioritize projects. - Provide technical leadership and guidance to the AI development team. - AI Development and Deployment - Design, develop, and deploy AI models and algorithms meeting business requirements and regulatory standards. - Lead the development of AI-powered solutions for various business domains, including P&L accounting and process automation. - Ensure seamless integration with existing systems and data platforms. - Research and Innovation - Stay up-to-date with the latest advancements in AI and machine learning (ML) technologies. - Collaborate with other divisions and central AI teams to identify emerging trends and technologies for the division. - Develop proof-of-concept projects and pilots to explore new AI applications. - Data Management and Analytics - Ensure data quality, security, and governance for AI model development and deployment. - Collaborate with the data analytics team to develop and implement data-driven insig