Chief AI Officer (CAIO)

LogicSource is a collective of strategic sourcing and procurement professionals that provides best-in-class solutions and technologies for our clients. Partnering alongside Fortune 500 companies, our goal is to inspire strategic partnerships while establishing strong execution to induce cost savings initiatives. We bring innovative solutions with a transparent business model that sets us apart. Learn more about us at www.logicsource.com.

Reasons why you’ll love it here:

• An amazing culture with a team that supports one another, the opportunity to make a direct impact and have fun along the way!
• We are experiencing rapid growth - come grow along with us!
• Competitive compensation and a performance-driven culture that rewards results.
• We work hard but understand the need for balance offering unlimited and flexible PTO.
• Phenomenal health, dental and vision benefits for you and your family (and we pay almost 90% of the premiums).
• Health reimbursement for deductible (HRA), 401k match, short-term/long-term disability, life insurance and more.

Position Summary:

The Chief AI Officer (CAIO) is a critical executive position responsible for supporting and executing an enterprise-wide AI and technology strategy that drives sustained competitive advantage, operational efficiency, and top-line growth. This role requires a unique blend of deep technical expertise, strategic business acumen, and ethical leadership to orchestrate the integration of cutting-edge AI and existing IT infrastructure across all business functions. A core accountability of the CAIO is the stringent protection of all client and proprietary data, ensuring security, privacy, and regulatory compliance are embedded in every technological decision and AI application from the ground up (privacy by design). The CAIO will be the technological architect of the company's AI-first culture and will support the roadmap for its technological vision.

Responsibilities:

• Strategic AI & Technology Vision: Support and implement a comprehensive AI and technology strategy that aligns with and advances the company's core business objectives and long-term vision. Identify high-impact opportunities for AI to generate new products/services, enhance customer experience, and optimize supply chain, marketing, and finance functions.
• AI Governance, Data Privacy & Responsible Use: Establish robust governance frameworks, policies, and ethical guidelines for the safe, secure, transparent, and compliant development and deployment of AI technologies. This includes direct responsibility for safeguarding all client data, ensuring the implementation of measures such as data minimization, anonymization, and robust encryption protocols to protect sensitive information at every touchpoint of the AI lifecycle. Collaborate closely with legal, compliance, and risk management teams to navigate complex and evolving domestic and international regulations (e.g., the EU AI Act, data privacy laws like HIPAA or GDPR).
• Innovation & Scaling: Lead the research, development, and scaling of AI and machine learning models from isolated pilots to full, enterprise-wide implementation. Drive a culture of continuous learning and innovation, leveraging emerging technologies such as Generative AI while ensuring the necessary guardrails are in place for responsible deployment.
• Product Portfolio Development (ProcureAI): Support and drive the technological roadmap for the organization’s proprietary ProcureAI product portfolio. This includes leveraging AI and advanced technologies to innovate procurement processes, drive efficiency, and enhance value for our clients, ensuring these solutions maintain market leadership and adhere to all internal security and compliance standards.
• Technology and Data Infrastructure Leadership: Lead Technology resources across the business and at our supplier partners to ensure a robust, scalable, secure, and compliant technology and data architecture is in place to support large-scale AI initiatives. Oversee the management and optimization of technology infrastructure assets to meet high-performance requirements and financial targets, integrating privacy safeguards from the design and development stage.
• Talent Acquisition and Cultural Transformation: Attract, build, and mentor high-performing teams of data scientists, ML engineers, and AI specialists. Champion AI literacy and a data-driven culture across the organization, managing the significant change required for AI adoption through upskilling and training programs that emphasize data protection awareness.
• Stakeholder Collaboration and Communication: Serve as a key liaison between technical teams and non-technical C-suite executives and the Board of Directors. Articulate the value proposition and ROI of AI investments to internal and external stakeholders, including investors, regulators, and the public, building trust through a commitment to ethical AI practices and data privacy.

Required Education and Experience:

• A Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field is required. A Master's degree in a relevant technical domain or an MBA with a focus on technology/strategy is highly preferred.
• Minimum of 15+ years of experience in technology and data science roles, with at least 8-10 years in leadership positions within large, complex organizations.
• Proven track record of successfully developing and executing large-scale AI strategies that have delivered measurable business outcomes (e.g., revenue growth, cost reduction, process automation) while upholding the highest standards of data integrity and security.
• Extensive experience with cloud computing platforms (AWS, Azure, Google Cloud) and modern AI frameworks and tools, with experience in security protocols and data protection features.
• Demonstrated success in building and leading high-performing, cross-functional teams and driving cultural change.
• Deep understanding of the AI ecosystem, including vendors, research institutions, and emerging regulatory bodies.
• Specific experience in product management or technology development within the B2B software space, particularly procurement technology or enterprise resource planning (ERP) solutions, is a significant asset.

Essential Skills and Competencies:

• Strategic Vision: Ability to foresee future AI trends and translate complex technological advancements into actionable business strategies that prioritize responsible data handling and product innovation.
• Leadership and Influence: Exceptional leadership skills with the ability to influence and collaborate effectively across all functions and levels of the organization, particularly with the Technology and Legal teams on data security matters and product teams on roadmap development.
• Technical Acumen: Deep technical knowledge of AI, machine learning, data science, and the underlying infrastructure required to support them, with an understanding of data security best practices like continuous monitoring and access controls.
• Ethical Insight: A strong ethical compass and commitment to ensuring AI is used responsibly and safely to build trust with customers and employees, with a focus on fairness, transparency, and accountability.
• Communication: Superb communication skills, capable of explaining complex technical concepts to non-technical audiences and serving as the company's leading spokesperson on AI and data privacy matters.

Travel: This position will require some travel.