Head of AI (Onsite in Chicago, IL)

Overview

On Site
Full Time

Skills

machine learning
AI
governance

Job Details

Position Title: Head of AI

Position Type: Regular - Full-Time

Position Location: Toronto CANADA and Chicago, IL

Onsite 3 times a week

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.

Thanks & Regards

Ashish Chhabra

Last Word Consulting Inc.

Ph: Ext. 423 . Direct:

Email:

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