Lead AI Product Manager — Enterprise AI Platforms

Edward Jones; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Edward Jones is seeking a Lead AI Product Manager to shape and lead enterprise AI products and reusable AI capabilities across multiple domains. You will own strategy, discovery, prioritization, adoption, lifecycle management, and measurable value creation while collaborating with engineering, data, risk, and business teams.

Leaders in AI product management will drive scalable, reusable AI solutions, govern risk, and ensure responsible AI practices within enterprise workflows, delivering

Qualifications

• Bachelor's degree in a relevant technical, product, analytics, or business field, or equivalent professional experience.
• 7+ years of Product Management experience, including ownership of complex technology, platform, data, digital, or AI products.
• 3+ years of experience with AI, machine learning, generative AI, agentic systems, intelligent automation, AI platforms, or advanced analytics.
• Proven ability to influence senior leaders, lead cross‑functional teams, coach others, and communicate complex topics clearly.

Responsibilities

• Define the vision, value proposition, outcomes, priorities, roadmap, and investment strategy for strategic AI products and capability domains.
• Translate priorities into scalable product strategies, requirements, evaluation criteria, and prioritized work.
• Lead continuous discovery and test hypotheses through research, prototypes, experiments, evaluations, proofs of concept, and pilots.
• Own the full product lifecycle from discovery and launch through adoption, operation, modernization, and retirement.

Skills

AI product management

Cross-functional leadership

Stakeholder communication

Strategy development

Education

Bachelor's degree in relevant field

Master's degree (preferred)

Tools

Copilot Studio

Power Platform

Azure AI

Databricks

Job description

Edward Jones is seeking a Lead AI Product Manager to shape and lead enterprise AI products and reusable AI capabilities across multiple domains. You will own strategy, discovery, prioritization, adoption, lifecycle management, and measurable value creation while collaborating with engineering, data, risk, and business teams.

Leaders in AI product management will drive scalable, reusable AI solutions, govern risk, and ensure responsible AI practices within enterprise workflows, delivering