Chief Artificial Intelligence Officer
Company Description
Star Finance is a consumer services company headquartered in Tulsa, Oklahoma, serving customers across the United States. The company focuses on providing accessible, reliable financial services tailored to everyday consumer needs. Star Finance aims to combine strong customer support with modern technology to deliver simple and transparent financial solutions. Team members collaborate across locations to improve services, increase operational efficiency, and support long-term customer relationships. Role Description The Chief Artificial Intelligence Officer (CAIO) at Star Finance is a full-time remote role responsible for defining and leading the company’s AI vision and roadmap. This position oversees the design, development, and deployment of AI-driven solutions across products, customer experience, risk management, and internal operations. The CAIO collaborates with executive leadership to align AI initiatives with business strategy, leads cross-functional teams of data scientists and engineers, and establishes responsible AI standards, governance, and compliance practices. Day-to-day activities include reviewing AI project proposals, guiding model selection and architecture, monitoring performance and ethical implications, and driving continuous improvement based on business outcomes and regulatory requirements. The CAIO also represents AI initiatives to stakeholders, supports change management, and fosters a culture of innovation and data-informed decision-making.
Qualifications
Strong foundation in Computer Science with experience designing scalable systems and architectures for AI-driven applications. Applied expertise in Data Science, including statistical modeling, machine learning, and data-driven experimentation in production environments. Hands-on experience with Pattern Recognition methods and algorithms for classification, anomaly detection, and predictive analytics. Practical background in Natural Language Processing (NLP) for use cases such as chatbots, document analysis, and language understanding. Experience in Computer Vision for tasks like document image processing, identity verification, or visual analytics. Proven leadership in building and managing high-performing AI/ML teams, including mentoring and cross-functional collaboration. Familiarity with cloud platforms, MLOps practices, and AI governance frameworks, including privacy, security, and regulatory compliance in financial services. Excellent communication skills, with the ability to translate complex AI concepts into clear business impacts for technical and non-technical stakeholders. Advanced degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience. Experience in fintech or financial services and a demonstrated commitment to responsible, unbiased, and inclusive AI practices is highly beneficial.