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Vice President of AI Technologies


Corporate and Business

About the Role

The Vice President of AI Technologies oversees the comprehensive scope of AI applications and strategies within an organization. They are key in ensuring technological advancements are in sync with strategic business goals. Their role is crucial for driving innovation, guiding AI initiatives, and ensuring that the AI technologies deployed are transformative and align with the company's vision and market trends.


    Develop and oversee the organization's AI and ML strategy, ensuring it aligns with the company's vision, mission, and long
    term goals.
    Lead the research and development of new AI and ML technologies, staying ahead of industry trends and advancements.
    Collaborate with various departments to identify opportunities for leveraging AI and ML to solve complex business problems and improve operations.
    Establish and manage a talented team of AI and ML professionals, fostering a culture of innovation, continuous learning, and excellence.
    Define metrics and KPIs to measure the effectiveness and impact of AI and ML projects on the organization's performance.
    Ensure the ethical use of AI and ML, including data privacy and security compliance, across all initiatives.
    Manage the budget, resources, and timelines for AI and ML projects, ensuring efficient and cost
    effective execution.
    Communicate the value and progress of AI and ML initiatives to stakeholders, including executive leadership, board members, and external partners.
    Build and maintain relationships with external vendors, research institutions, and technology partners to enhance the organization's AI capabilities.
    Advocate for a data
    driven culture within the organization, promoting the use of data analytics and machine learning in decision
    making processes.

Required Skills

    Advanced degree in Computer Science, Data Science, Engineering, or a related field with a focus on AI and ML.
    Proven expertise in AI and ML technologies, methodologies, and best practices.
    Strong leadership skills with the ability to inspire and manage high
    performing teams.
    Excellent analytical and problem
    solving abilities.
    Proficient in programming languages such as Python, R, or Java, and familiar with AI and ML frameworks and libraries.
    Solid understanding of data architecture, data engineering, and data science principles.
    Exceptional communication and interpersonal skills, with the ability to convey complex technical concepts to non
    technical audiences.
    Strategic thinking with a track record of developing and implementing successful AI and ML initiatives.
    Experience with cloud computing platforms and services that support AI and ML workloads.
    Knowledge of regulatory and ethical considerations related to AI and data usage.

Ready to infuse AI?

Reach out and let's chat

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