Financial Services - Technology Consulting - AI Product Manager - Senior

EY • New York, NY

1d • $100,100 - $183,400 • Hybrid

About The Position

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is a leader in serving the global financial services marketplace and the only professional services firm with a separate business unit dedicated to the financial services industry – the Financial Services Organization (FSO). Our focused model and bold ambition have put us at the center of the events that continue to reshape and redefine our industry, working side by side with a range of clients from our most venerable institutions to dynamic new entrants across Banking and Capital Markets, Wealth and Asset Management, Insurance, and Real Estate, Hospitality and Construction. Our purpose is to help build a financial services industry in which financial institutions are trusted and flourish, and the global economy is healthy, growing and secure. If you have a passion for rallying together to solve complex challenges, then come join our dynamic FSO team!

The opportunity
The Product and Experience Design (PxD) Team, as part of the Platforms competency within FSO Technology Consulting, works collaboratively with clients to transform their business through disruptive innovation enablement and transformational design solutions. The team supports our clients in modernizing systems, processes, operating structures and products to enhance business and customer-facing platforms and services to support high performance in a rapidly changing and competitive environment. Our team helps clients sustain competitive advantage and profitability by developing technology strategies, products, and solutions to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations.

We are looking for an experienced, passionate, results-oriented AI Product Manager who is a great problem solver with deep and proven experience delivering digital products including those powered by AI/Agents. You will combine strategic product leadership with experience in AI/ML, data, agent orchestration, and responsible AI practices to help our clients unlock measurable business value.

Your key responsibilities
The goal is to support our clients to transform their business through product management. As an AI Product Manager, you will work with multi-discipline feature teams including user experience experts, architects, engineers, data scientists and others to define and roll out products and services, including those powered by AI/Agents for large global organizations. You will take a user-centric and data-driven approach to product development. You will advocate for the user throughout the product development lifecycle. You can break down and simplify complex processes and touchpoints to deliver exceptional, trustworthy AI experiences. You are a strategic thinker, can prioritize and define product roadmaps, manage a product backlog, make quick decisions, and coordinate the team to release quality products within planned timelines. You understand modern platform structures, cloud architectures, digital platforms and enablers, and data strategy considerations. In addition, you understand and have a perspective on how product and delivery organizations are structured and operate within complex, regulated national and global companies. Outside of client engagements, you have experience with business development activities (e.g., pursuits, proposals) and practice building activities such as mentoring teams and developing/delivering training programs.

In addition, you will:

Translate business outcomes into AI product strategy, measurable goals, and ROI-driven roadmaps; align AI capabilities with compliance, risk, and customer experience needs.
Partner with engineering and data science teams to design, deliver, and iterate AI features: clarify software requirements, review code and integration patterns (Python/Java), and guide model evaluation with appropriate metrics and trade-offs.
Consider and design for how AI agents could be integrated into product and platforms: define agent roles, capabilities, and handoffs; design orchestration models; oversee agent execution reviews and continuous improvement.
Ensure Responsible AI: embed fairness, transparency, privacy, and accountability into product design and governance; lead model risk assessments and mitigation plans.
Shape UX for AI: design intuitive, explainable interfaces; set user expectations for AI behavior; define feedback loops, guardrails, and escalation paths.
Drive SDLC excellence: support data pipelines, CI/CD, MLOps, monitoring, and incident response for AI systems; operationalize testing for both software and models.
Communicate clearly across stakeholders: bridge engineering, data science, design, compliance, and business; craft narratives and artifacts that accelerate decision-making.
Deliver outcomes: manage scope, timeline, and budgets; establish OKRs and product metrics; report progress and risks transparently; enable quality at speed.

Additional Skills:

Strategy and Organization

Develop product strategies that align with business objectives and account for technology, data, risk, compliance, and experience design considerations.
Support defining product organization and operating models (e.g., product taxonomy, organizational structure, funding methods, product delivery processes, governance models, decision-making models) that help our clients better allocate funding, prioritize work and drive quality and efficient delivery
Improve portfolio management with AI-specific product metrics and OKRs that align work to business objectives and increase transparency/traceability of outcomes and ROI.

Technology Delivery

Drive technology delivery through defining business requirements (user stories and acceptance criteria), prioritizing backlogs, and creating and maintaining roadmaps including for AI features and agentic workflows.
Orchestrate and design AI agents: define capabilities, context windows, tools, and policies; establish orchestration models; review and optimize agent executions.
Support cross-functional teams of designers, engineers and testers through the software development lifecycle (SDLC) and MLOps from ideation through implementation and deployment, including data pipelines and model lifecycle management.
Apply technical fluency: understand ML fundamentals, model evaluation (precision/recall, calibration, latency/cost trade-offs), data pipelines, and tech stacks; conduct software requirement reviews and code analysis in Python or Java to ensure quality and fit-for-purpose integration.
Advocate and operationalize cross-functional best practices such as user testing, functional and regression test automation, model testing/validation, and alignment to industry/client standards.

Product Enablement

Utilize prevalent product management tools (e.g., JIRA, Azure DevOps, AhA!, Productboard) to ideate and deliver AI-powered technology solutions.
Utilize product analytics software and experimentation frameworks to derive insights on user behavior, product performance, and value delivery, translating findings into actionable recommendations.
Define and implement AI prompt/knowledge management, and agent monitoring dashboards, review agent executions for safety, quality, and efficiency.
Advise on and implement best practices and standards for experience design, agile delivery, technology and data
Learn and evangelize leading technologies including generative AI to improve quality and efficiency throughout the SDLC (e.g., user story definition, code generation, test automation).

Core Consulting

Construct and communicate a compelling story to rally the client around potential changes and associated benefits; demystify AI and agentic systems for non-technical stakeholders.
Drive desired outcomes defined in client engagements and carry through to implementation, including change management for AI adoption.
Begin developing long-term client relationships and networks and cultivate business development opportunities.
Effectively work with client engagement teams with diverse skills and backgrounds fostering an innovative and inclusive work environment.
Demonstrate understanding of current technology environment and industry trends across financial services, including AI, data, cloud, risk, and regulatory.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems Management, or a related field and 3 years of progressive, post-baccalaureate work experience. Alternatively, will accept a Master’s degree in Computer Science, Engineering, Information Systems Management, or a related field and 2 years of work experience.
• Proven delivery skills including the ability to identify issues and risks and escalate appropriately, manage communications with EY and client team members, and be accountable for client deliverables.
• Experience and passion for learning, implementing and evangelizing AI
• Experience facilitating discussions with technical, design and business subject-matter resources to document requirements, establish a vision, and articulate alternatives for future state AI solutions across various domains and channels.
• Demonstrated ability to support product vision, define and manage product roadmaps, prioritize and manage the backlog, and support product/technology launches, including AI features and agent-enabled workflows.
• Data literacy and analytics experience, including designing experiments (A/B tests), defining metrics, and interpreting telemetry to guide product decisions and assess model performance.
• Experience with Responsible AI practices: awareness of fairness, bias, transparency, and accountability; ability to collaborate with risk, compliance, and security to embed governance.
• Experience successfully managing projects with defined deliverables and budgets. Experience must include budgeting and managing schedules; client relationship management; communicating strategically around key issues; conflict resolution and consensus building.
• Proven delivery skills including the ability to scope/size a project; staff a team with the appropriate skill set; provide subject matter direction and guidance to a team; manage communications with the project sponsors and manage the delivery of an engagement workstream.
• Outstanding written and verbal communication skills.
• Requires domestic and regional travel up to 80% to serve client needs.

Responsibilities

• Translate business outcomes into AI product strategy, measurable goals, and ROI-driven roadmaps; align AI capabilities with compliance, risk, and customer experience needs.
• Partner with engineering and data science teams to design, deliver, and iterate AI features: clarify software requirements, review code and integration patterns (Python/Java), and guide model evaluation with appropriate metrics and trade-offs.
• Consider and design for how AI agents could be integrated into product and platforms: define agent roles, capabilities, and handoffs; design orchestration models; oversee agent execution reviews and continuous improvement.
• Ensure Responsible AI: embed fairness, transparency, privacy, and accountability into product design and governance; lead model risk assessments and mitigation plans.
• Shape UX for AI: design intuitive, explainable interfaces; set user expectations for AI behavior; define feedback loops, guardrails, and escalation paths.
• Drive SDLC excellence: support data pipelines, CI/CD, MLOps, monitoring, and incident response for AI systems; operationalize testing for both software and models.
• Communicate clearly across stakeholders: bridge engineering, data science, design, compliance, and business; craft narratives and artifacts that accelerate decision-making.
• Deliver outcomes: manage scope, timeline, and budgets; establish OKRs and product metrics; report progress and risks transparently; enable quality at speed.
• Develop product strategies that align with business objectives and account for technology, data, risk, compliance, and experience design considerations.
• Support defining product organization and operating models (e.g., product taxonomy, organizational structure, funding methods, product delivery processes, governance models, decision-making models) that help our clients better allocate funding, prioritize work and drive quality and efficient delivery
• Improve portfolio management with AI-specific product metrics and OKRs that align work to business objectives and increase transparency/traceability of outcomes and ROI.
• Drive technology delivery through defining business requirements (user stories and acceptance criteria), prioritizing backlogs, and creating and maintaining roadmaps including for AI features and agentic workflows.
• Orchestrate and design AI agents: define capabilities, context windows, tools, and policies; establish orchestration models; review and optimize agent executions.
• Support cross-functional teams of designers, engineers and testers through the software development lifecycle (SDLC) and MLOps from ideation through implementation and deployment, including data pipelines and model lifecycle management.
• Apply technical fluency: understand ML fundamentals, model evaluation (precision/recall, calibration, latency/cost trade-offs), data pipelines, and tech stacks; conduct software requirement reviews and code analysis in Python or Java to ensure quality and fit-for-purpose integration.
• Advocate and operationalize cross-functional best practices such as user testing, functional and regression test automation, model testing/validation, and alignment to industry/client standards.
• Utilize prevalent product management tools (e.g., JIRA, Azure DevOps, AhA!, Productboard) to ideate and deliver AI-powered technology solutions.
• Utilize product analytics software and experimentation frameworks to derive insights on user behavior, product performance, and value delivery, translating findings into actionable recommendations.
• Define and implement AI prompt/knowledge management, and agent monitoring dashboards, review agent executions for safety, quality, and efficiency.
• Advise on and implement best practices and standards for experience design, agile delivery, technology and data
• Learn and evangelize leading technologies including generative AI to improve quality and efficiency throughout the SDLC (e.g., user story definition, code generation, test automation).
• Construct and communicate a compelling story to rally the client around potential changes and associated benefits; demystify AI and agentic systems for non-technical stakeholders.
• Drive desired outcomes defined in client engagements and carry through to implementation, including change management for AI adoption.
• Begin developing long-term client relationships and networks and cultivate business development opportunities.
• Effectively work with client engagement teams with diverse skills and backgrounds fostering an innovative and inclusive work environment.
• Demonstrate understanding of current technology environment and industry trends across financial services, including AI, data, cloud, risk, and regulatory.

Benefits

• medical and dental coverage
• both pension and 401(k) plans
• a minimum of 15 days of vacation plus ten observed holidays and three paid personal days
• a range of programs and benefits designed to support your physical, financial and social well-being
• Excellent training and development opportunities through established programs and on-the-job training

What This Job Offers

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