Head of Artificial Intelligence (AI)

Job Title: Head of Artificial Intelligence (AI)

Location: Chicago, IL (Onsite)

Duration : Full-Time

Interview Mode : Video

Job Description :

Role Overview

Our Head of AI will lead the strategic design, development, and implementation of AI-driven initiatives to enhance operations, customer experiences, and business decision-making. This role focuses on leveraging AI, including machine learning, Gen AI, and emerging technologies, to drive innovation, optimize supply chains, and increase market share.

Key Responsibilities

AI Strategy & Vision

• Develop and execute a comprehensive AI strategy aligned with the company s business goals.
• Identify emerging AI trends and assess their potential impact on client operations.
• Collaborate with executives to reimagine value chain, processes, and business capabilities, leveraging Agentic AI and assessing their potential applications within the data product suite and long-term technology roadmaps.
• Identify opportunities to integrate AI into the existing value chain to enhance functionality, user experience, and market competitiveness.

Leadership & Team Management

• Build and lead a high-performing AI Product Management team, collaborating with product owners, platform engineers, data engineers, data scientists, and functional/domain experts.
• Foster a culture of continuous learning and innovation within the team.
• Mentor and develop junior AI product team members, ensuring technical excellence and professional growth.
• AI Evangelism: Be the advocate and evangelist on what is possible with AI.

Collaboration & Cross-Functional Support

• Collaborate with cross-functional teams, including global and regional business functions, engineering, data science, and other technology functions, to ensure seamless integration of AI solutions into new and existing systems.
• Engage with external partners, vendors, and academic institutions for cutting-edge AI research and development.

AI Product Development

• Lead the end-to-end AI product development lifecycle, from ideation to launch, ensuring timely delivery and positive ROI.
• Design and deploy AI models and agents to help the organization improve revenue efficiency and capture new market share across Agriculture, Manufacturing, Supply Chain, Commercial, and Corporate domains.
• Create a positive digital workforce experience through advanced analytics, predictive modeling, and AI agent recommendation systems.
• Conduct persona research and gather user feedback to identify unmet needs and areas for product and process enhancements using AI toolkits.

AI Governance

• Ensure all AI initiatives comply with data privacy regulations and ethical standards.
• Establish governance frameworks for AI systems and machine learning models to ensure ethical and responsible use.
• Implement monitoring and validation mechanisms for AI models to maintain accuracy and fairness.
• Collaborate with AI and data science teams to integrate governance practices into the AI lifecycle, from development to deployment.
• Ensure transparency and accountability in AI algorithms and decision-making processes.

Qualifications

• Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.
• Extensive experience in product management with a strong focus on AI and machine learning technologies.
• 10+ years of experience in product development in AI and Data products, with 5+ years in a leadership capacity.
• Proven track record deploying AI solutions within the CPG/retail industry or similar sectors, from concept to market.
• Deep understanding of B2B innovation, R&D, marketing, and consumer behavior/engagement.
• Strong understanding of AI/ML algorithms, frameworks, and tools.

Soft Skills

• Strategic thinker with strong problem-solving capabilities.
• Excellent communication skills for conveying complex technical concepts to non-technical stakeholders.
• Proven leadership and team-building abilities.
• Experience working in a fast-paced, agile environment.
• Disruptive and growth mindset, yet collaborative with humility and pragmatism.

Key Performance Indicators (KPIs)

• Define and track KPIs to measure the success and impact of AI initiatives on product performance.
• Ensure successful deployment and adoption of new data products.
• Continuously optimize product features and performance based on data-driven insights and user feedback.