Applied AI Lead Product Manager

Deloitte • Jersey City, NJ

133d • $130,900 - $268,700 • Hybrid

About The Position

The Applied AI Lead Product Manager is an expert individual contributor accountable for a product’s value, viability, and success from vision through execution. The role leads empowered, cross-functional product teams in solving complex customer problems aligned with strategic business needs, balancing customer needs with business objectives, and delivering valuable, viable, usable, and feasible solutions. It sets a standard for responsible use of AI and agentic tools to speed learning and automate analysis, prototyping, and compliance work while preserving human judgment and product sense-making.

The role owns product vision, strategy, and roadmaps; defines and measures KPIs and ROI; conducts user research and competitive analysis; and works closely with business, engineering, experience, and delivery partners. It promotes outcome-focused product practices, continuous learning, experimentation, and improvement. The successful candidate will help develop advanced agentic AI-enabled solutions through Deloitte Product Engineering.

Requirements

• Bachelor’s degree in Business, Marketing, Engineering, or a related field.
• 10+ years of proven experience in product management or related roles.
• 1+ year of experience building AI-based intelligent products.
• 1+ year of experience using GenAI tools for product management tasks such as idea research, shaping, synthesis, roadmaps, requirements, prototyping, and testing.
• Ability to work independently and collaboratively.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to travel 0–20% on average, depending on work and clients served.
• Ability to work in a local office at least 3 days per week and live within commuting distance of a listed location.

Nice To Haves

• MBA or related advanced degree.
• Experience being accountable for value and viability results for an empowered product team.
• Demonstrated experience delivering the right product in the right way at the right time using modern product practices.
• Experience with lean solutions and rapid, inexpensive experimentation.
• Proven accountability for product value, viability, and P&L objectives.
• Ability to quickly develop expert-level knowledge of the product domain.
• Expert analytical and problem-solving skills.
• Ability to influence at all organizational levels through inclusion and leadership.
• Expertise in modern product management tools, methods, practices, and domain.
• Ability to navigate complexity and uncertainty.
• Preference for small-step action and evidence over detailed upfront planning.
• High levels of continuous customer and user engagement.
• Uses AI to amplify, rather than replace, taste, judgment, and product sense-making.
• Ability to analyze data and derive actionable insights.
• Innovative and experimental approach to solving complex problems.
• Deep understanding of customer needs and engagement patterns, with a focus on solutions customers value and that work for the business.
• Ability to develop and execute product strategy aligned with broader business objectives.
• Fluency orchestrating multiple AI agents across the concept-to-cash flow, with guardrails that document assumptions, confidence levels, and sources of truth.
• Understanding of deterministic logic versus probabilistic generation; ability to design safeguards for hallucination, bias, and drift, use evaluation harnesses before launch, monitor drift after launch, and maintain a kill-switch approach.

Responsibilities

• Be accountable for product value and viability, demonstrate measurable ROI, and drive strategy-aligned solutions.
• Define, achieve, measure, and analyze KPIs to guide product decisions and future strategies.
• Use AI to gather outcome evidence early and often and lower total cost of ownership.
• Co-create, own, and communicate the product vision, strategy, and roadmap, using AI to deepen domain knowledge and explore future scenarios.
• Align product objectives with product-line and business goals in collaboration with business stakeholders, engineering, experience, and delivery.
• Conduct user research and competitive analysis, using AI agents to synthesize research while maintaining direct human engagement.
• Engage users and stakeholders through continuous research and direct interaction, and guide the team toward solutions for priority needs.
• Work alongside cross-functional teams to achieve KPI outcomes and promote an outcome-focused product operating model.
• Build empowered teams and product communities that demonstrate collective product ownership.
• Remove obstacles, support continuous value delivery, and foster rapid learning and adaptation.
• Improve processes to reduce waste and accelerate value achievement, using AI to automate repetitive work and speed up slow processes.
• Share knowledge and best practices within the product vertical community.
• Orchestrate AI agents to deepen domain knowledge, synthesize research, validate ideas, test assumptions, and create early functional prototypes.
• Apply guardrails when using AI agents across research, insight, prototyping, specification, coding, and compliance; use evaluation practices to address hallucination, bias, and drift and determine when AI should not be used.
• Mentor others and provide clear guidance.

Benefits

• May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
• Employees are offered a broad range of benefits.
• Opportunities for professional development, including skill-building, leadership opportunities, mentorship, on-the-job learning, and formal development programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior