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Director Of AI
2 months ago
Description:
Our Client is creating a new dedicated team to support AI within the Enterprise. Currently AI focused work falls under Data Analytics, and this is being pulled to be a separate team. With this, they are seeking to hire a dedicated Director of AI, who will be leading both strategy, technical delivery, and executive level facing communication.
Note : We will have the managers call on Monday 8/19 from 8.30 am to 9.00 am to discuss the position. I will send a Teams invite. Please accept the invite once you receive them. Let me know if you have any questions.
Job Title: Director, AI Technology COE
Department: AI Technology Center of Excellence
Job Summary:
We are seeking a visionary leader of the AI Technology Center of Excellence (COE) responsible for overseeing and driving the strategic development and implementation of artificial intelligence (AI) initiatives across the organization. This role offers the opportunity to innovate and lead, shaping the direction of AI integration while collaborating closely with business units to identify and capitalize on transformative opportunities. The ideal candidate will partner with business stakeholders to drive strategic initiatives that enhance our operational efficiency, customer satisfaction, and environmental stewardship. They will oversee and lead the COE's operations related to AI and technology modernization, including building out the team. They will play a crucial role in leveraging state-of-the-art AI technologies to propel our client towards a smarter, more sustainable future. Working closely with cross-functional teams, the AI Technology COE leader will identify opportunities for AI application and drive the adoption of AI solutions.
This position will report directly to the Vice President of Technology Services.
Major Job Responsibilities:
Develop and implement a comprehensive AI technology strategy, aligned with company objectives, to guide technological advancements and innovations.
Lead and manage a team of AI experts, providing guidance, mentorship, and fostering a culture of innovation and continuous improvement.
Collaborate with cross-functional teams to design, prototype, and deploy AI models, algorithms, tools, and solutions across various business units, driving the development and implementation of these technologies.
Lead and oversee the implementation of AI solutions at scale, including developing strategic roadmaps, establishing governance frameworks, managing cross-functional teams, and ensuring alignment with business objectives to drive transformative outcomes.
Monitor and evaluate the performance of AI solutions, making necessary adjustments and improvements as required.
Define and lead the development of the organization’s AI architecture, ensure scalability, efficiency, security, and alignment with business goals.
Ensure compliance with ethical and legal standards in AI development and deployment.
Ensure rigorous data governance and security practices in all AI implementations.
Engage with stakeholders to understand their AI needs and provide strategic recommendations.
Foster innovation by exploring new AI technologies and applications relevant to the energy sector.
Stay updated with the latest advancements in AI technology and assess their potential impact on the company's operations and offerings.
Showcase AI advancements and demonstrate the art of the possible, highlighting successful projects and innovations to build credibility and foster collaboration with other organizations.
Demonstrate thought leadership in AI by staying abreast of industry trends, pioneering new approaches, and guiding the team towards innovative solution.
Manage relationships with external AI technology vendors, partners, and research institutions.
Be an AI thought leader and provide education, events, and workshops to promote a culture of continuous learning and innovation.
Represent the company at conferences, forums, and professional groups.
Knowledge and Skills:
Technical expertise to pair with strategic vision and the ability to collaborate effectively across disciplines and teams.
Deep understanding of various AI technologies, including machine learning (ML), natural language processing, computer vision, deep learning, retrieval-augmented generation (RAG), and generative AI models, and programming languages such as Python, R, or Java.
Proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models. This includes skills in statistical analysis, data visualization, and predictive modeling.
Ability to strategically equip the organization with the appropriate innovative technology, skills, and processes to support the transforming industry and business.
Exhibits transformational leadership skills with a proven record of challenging the status quo.
Sophisticated change management capabilities, including the ability to lead, influence, and manage through change. Recognized as a change agent and thought leader.
Outstanding credibility and demonstrated ability to build strong relationships within the company and industry, as well as with vendors/suppliers.
Demonstrated ability to influence upper-level management and key stakeholders.
Team player with a collaborative approach to drive solutions for the good of the enterprise.
Ability to operate successfully in a regulated environment with an understanding and appreciation of risk, compliance, corporate policy and procedures, internal controls, and regulatory requirements.
Demonstrated ability to connect the dots and apply sound business judgement.
Ability to attract top talent and build high-performing teams. Demonstrated ability to lead, motivate and develop leaders. Recognized as an outstanding people manager with the ability to delegate responsibility effectively, the individual should have well-defined core values and a reputation for conveying them clearly and uniformly.
Outstanding listening and communication skills, including the ability to communicate to diverse audiences.
Excellent customer service skills that exhibit initiative and follow-through to meet customer commitments.
Education and Experience:
A bachelor’s degree, preferably in Computer Science, Artificial Intelligence, Data & Analytics, Data Science Engineering, Information Systems, Engineering, or related field. Advanced degree highly desirable.
Ten or more years of experience in IT, five or more years of IT management experience.
Three or more years of experience in implementing full lifecycle ML automation using MLOps (scalable development to deployment of complex data science workflows).
Proven experience in leading and deploying AI initiatives at scale.
Experience with cloud platforms and technologies such Azure or Google Cloud.
Experience with generative AI technologies, including vector indexes, knowledge graphs, and Large Language Models (LLMs).
Familiarity with big data technologies and analytics tools.
Skills:
Artificial intelligence, Data
Top Skills Details:
Artificial intelligence, Data
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.