Additional Guidance/Criteria: Manages and controls activities within a sub-region or Region; Typically manages 10 or more direct reports.  Span of Control guidelines may differ from these numbers.

• Develops and drives the organization's AI and machine learning strategy, aligning it with overall business objectives.
• Identify new opportunities for AI and machine learning applications, evaluate emerging technologies and trends, and provide thought leadership on implementing innovative solutions to gain a competitive edge.
• Leads and manages a team of AI and machine learning professionals, including data scientists, machine learning engineers, and AI specialists. Provide mentorship, guidance, and career development support. Allocate resources effectively, ensure high team performance, and foster a collaborative and innovative work culture.
• Oversees complex AI and machine learning projects from conception to deployment. Defines project scope, objectives, timelines, and resource requirements. Coordinates cross-functional teams, manages project risks, and ensures successful delivery while adhering to quality standards and stakeholder expectations.
• Stays abreast of the latest advancements in AI and machine learning technologies, algorithms, and methodologies.
• Provides technical leadership and guidance to the team, evaluates and implements advanced models and algorithms, and promotes innovation in applying AI and machine learning to solve complex business problems.
• Collaborates closely with key stakeholders, including senior management, business leaders, and domain experts, to understand their needs and translate them into AI and machine learning solutions.
• Communicates effectively to non-technical stakeholders, articulates the value proposition of AI and machine learning initiatives, and provides regular updates on project progress, outcomes, and strategic insights.

What you will bring:

• Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline. With a typically of 7-15 years’ experience including 5 or more years of people management experience, Advanced Degree (Master’s or Ph.D.) is strongly preferred.
• Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders.
• Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results.
• Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus.
• Strong understanding of data privacy, security, and ethical considerations in AI and machine learning.
• Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R.
• Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.