While most organizations are clear about the outcomes they expect from generative AI, what’s not so well understood is the way to go about realizing these outcomes. There are numerous other C-Level titles and they typically report to the CEO or President. Other common ones include Chief Information Officer, Chief Human Resources Officer, Chief Technology Officer and Chief Revenue Officer. I compiled a list of C Level titles to help you think about the executive org chart.

Vice President International Operations jobs

Peruse job advertisements for CAIOs, and one might conclude that the majority of these executives are needed at technology vendors. Many certainly are, but opportunities abound — and are increasing — at organizations of all types, Reeves notes. A typical candidate is someone who has a proven track record of leading successful AI programs, and a vision for transforming the organization with AI. The CAIO is a senior executive position tasked with leading the organization’s AI initiatives. As AI integration in business matures, the benchmarks for an exceptional CAIO will sharpen over time.

Vice President of Business Development

Even at the CAIO level, it may not be all about finding the right experience, but finding the candidate with the right strategic and tactical skills — or the ability to acquire them — to be successful in the role. Equally important, a CAIO should have knowledge of risk management principles and regulatory compliance requirements related to AI. Top CAIO candidates should also have a high-level view of AI technologies and capabilities, which is critical in knowing how to tie AI investments to drive transformation and achieve business goals. Chief Executive Officer of an AI startup job To that end, CAIOs must break down silos and interact with a multitude of leaders in both lines of business and supporting functions, Daly says. They must collaborate with leaders to understand departmental needs, and integrate AI solutions that enhance productivity and decision-making. Collaboration also includes working with product teams on go-to-market opportunities.

Finding the right kind of opportunities for your sponsee

Coto views his promotion to CAIO as the result of his extensive experience in key leadership positions in the past, and his deep understanding of AI and its potential impact on the business. His primary mission as CAIO is to align the company’s AI initiatives with its business goals, and to ensure that the company is leveraging AI in a way that is ethical and compliant with regulations. Beyond technical expertise, the CAIO will also need to possess leadership, strategic vision and business acumen worthy of the c-suite. The CAIO will be responsible for winning stakeholder enthusiasm across the organization in order to fund and promote AI initiatives. CAIOs will need to be able to articulate a powerful story that aligns with the company’s broader business goals, identify new market opportunities made possible by AI and possess skills in managing large-scale cross-functional projects. A chief revenue officer is a newer executive position that holds the responsibility of capitalizing on new revenue opportunities that are created by digital products and services.

Focusing engineering projects on customer value

Chief AI officers ensure that AI tools used respect the boundaries of user privacy, function without inherent biases. They also communicate with stakeholders and measure the business and financial impact of AI with the finance and operations teams. That’s sometimes much-needed, with many CEOs appearing unsure how to adopt, invest in, or effectively use the technology. A recent Accenture survey of 3,400 C-suite execs found that only 27% said their companies are ready to scale up with generative AI. As a result, the Chief AI Officer needs sufficient technological knowledge to follow the latest AI developments and is able to supervise the teams tasked with implementing them. They must also have a deep enough understanding of the business to recognize where the technology can be most effectively employed.

• The chief lawyer of an organization is typically called the General Counsel or Chief Legal Officer (CLO).
• They must also have a deep enough understanding of the business to recognize where the technology can be most effectively employed.
• Similarly, given the need to align the organization’s AI strategy with its business goals, the more experience a CAIO candidate has with business processes and operations, the better.
• Long term, Bhatia says he would love to see his role make impact towards health-care equity.
• They have technical proficiency in AI and data analytics and have a deep comprehension of machine learning algorithms, neural networks, and other advanced AI techniques.

Chief Security Officer

A chief nursing officer, commonly known as a head nurse or Chief Nurse Executive, director of nursing, or vice president of nursing, oversees hospital operations that impact the quality of nursing. A chief nursing officer is also responsible for budget development, staff management and regulatory compliance. CAIOs should also work closely with enabling units and project teams to deliver new AI capabilities. That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI. AI’s evolution from niche to necessity marks a pivotal moment for businesses, highlighting the crucial need to master its intricacies under the guidance of a Chief AI Officer (CAIO). This shift from mere technology adoption to requiring visionary leadership underscores the importance of the CAIO role for businesses determined to fully leverage AI and excel in a dynamic environment.

How to define a new engineering role

Perhaps the most obvious component of the skill set is technical skills in AI and machine learning, data science and analytics, traditional software development and an understanding of AI infrastructure. The CAIO is responsible for educating the rest of the organization and the broader community of external stakeholders on the company’s approach and vision for AI. The CAIO has an increasingly critical role as the spokesperson for all things related to AI, and today’s CAIOs frequently appear on podcasts and panels to elucidate the company’s position on AI-related issues. The CAIO is relatively new role that has emerged as a response to the growing importance of AI in business strategy and operations. The presence of a CAIO in the c-suite indicates that the company has made a strong commitment to leveraging AI as a key component of its strategy, and likely has significant AI initiatives underway.

How to flex your engineering capacity

A CAIO has a strong understanding of AI technologies and understands how it can be used to solve business problems. They have technical proficiency in AI and data analytics and have a deep comprehension of machine learning algorithms, neural networks, and other advanced AI techniques. Ideally, it’s “a blend of technical expertise, strategic vision, and executive-level leadership,” Kinsey told BI. With the CAIO role in its nascent stage, Business Insider covered the story that businesses are venturing into largely uncharted territory. However, securing a specialized executive to navigate this landscape is rapidly becoming as critical as the roles of CFO or CMO for organizations aiming to lead in the AI-driven marketplace.