Financial Services - Technology Consulting - AI Product Manager - Senior
EYAbout the role
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
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