Head of AI Transformation

Job Title: Head of AI Transformation

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Location:

[Location] (Opportunities for remote/hybrid/flexible work available)

 

Reports to:

Chief Technology Officer (CTO)

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Role Purpose

Try and bring the role to life while considering what you need the successful candidate to achieve in a year e.g. [Company Name] is seeking a visionary Head of AI Transformation to lead the integration of artificial intelligence strategies across our organization. This role is crucial in advancing AI adoption, optimizing business processes, and enhancing our competitive edge.

 

Company Overview

Summarise your company and it’s culture.[e.g. [Company Name] is a leading AI technology company specializing in developing advanced artificial intelligence solutions for [specific industry or application]. Our mission is to [company mission]. We foster a collaborative and inclusive work environment that encourages creativity and professional growth.] Include USPs and technical innovation or focus that will appeal to the ideal candidate [e.g. Recognized as one of the "Best Places to Work" by [Awarding Body], we are committed to excellence in AI technology.]

 

Key Responsibilities:

• Develop and implement a comprehensive AI strategy aligned with company objectives.

• Lead cross-functional teams to integrate AI technologies into existing workflows.

• Identify opportunities for AI-driven improvements in efficiency and productivity.

• Collaborate with stakeholders to prioritize AI projects and initiatives.

• Oversee the development of AI models and ensure their ethical application.

• Monitor industry trends to keep the company at the forefront of AI advancements.

• Manage relationships with external AI vendors and partners.

• Ensure compliance with data protection regulations and best practices.

• Provide leadership and mentorship to the AI team.

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Required Skills and Qualifications

• Experience in AI strategy development and implementation with extensive experience in change and transformation.

• Minimum of [X] years of experience in technology or AI leadership roles.

• Strong knowledge of machine learning, data analytics, and AI technologies.

• Proven leadership skills with the ability to manage cross-functional teams [specify sector, scale and budget or commercial responsibility].

• Excellent communication skills to articulate AI concepts to non-technical stakeholders.

• Experience with AI platforms and tools such as TensorFlow, PyTorch, or similar.

• Familiarity with compliance standards such as GDPR, HIPAA, etc.

• Understanding of ethical considerations in AI applications.

• Strong problem-solving abilities and strategic thinking.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

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Perks and Benefits:

Clearly outline the benefits and perks of the role.

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How to Apply:

End with a strong call to action encouraging candidates to apply. Include a direct link to the application page and provide contact information for further queries.

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Please ensure each job description includes all relevant information in compliance with local, state, and national laws. This includes:

 

• Salary Information: Provide a clear salary range to maintain transparency and meet legal requirements.

• Privacy Policies: Protect candidate privacy by following all applicable data protection and privacy laws.

• Equality & Non-Discrimination: Include an equal opportunity statement to uphold our commitment to a diverse, inclusive workplace that does not discriminate based on race, gender, age, disability, or any other protected characteristic.

• Accessibility: Make reasonable accommodations available for candidates with disabilities and include information on how they can request assistance throughout the hiring process.

• Environmental and Social Responsibility: If your company has sustainability initiatives or community engagement programs, mentioning them briefly can attract candidates who prioritize working for socially responsible employers.

• Transparent Hiring Process: Briefly explain the hiring process (e.g., “Our interview process typically includes three stages: an initial screening, a technical interview, and a final interview”) to help candidates know what to expect.