Director of Artificial Intelligence (Diversity Only)

Key Responsibilities: Strategic Planning and Leadership Develop and execute the AI strategy aligned with the Organization’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 that meet 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 that can benefit 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 that all AI solutions comply with regulatory requirements and industry standards. Conduct regular risk assessments to identify potential vulnerabilities and mitigate them proactively. 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 through clear and concise language. Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Minimum 5+ years of experience in AI, ML, or data science, with at least 2+ years in a leadership role . Required Skills Proficiency in Python, R, or other programming languages. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch ). Familiarity with natural language processing (NLP) and LLM architecture. Knowledge of data management platforms (e.g., Hadoop, Spark, BQ, ADX). Preferred Skills 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. Good to Have Certifications: Relevant certifications in Data Science, Analytics, etc. Industry Knowledge: Experience working in the financial services industry. Cloud Computing: Familiarity with cloud computing platforms (e.g., GCP, AWS, Azure). Show more Show less