Financial Services - Technology Consulting - Product Manager - Senior

EY • Hartford, DC

22h • $100,100 - $208,500 • Remote

About The Position

The Product and Experience Design (PxD) Team, part of the Platforms competency within FSO Technology Consulting, works collaboratively with clients to transform their businesses through disruptive innovation and human-centered design. The team helps clients modernize systems, processes, operating structures and products, while applying AI-enabled methods to improve how opportunities are identified, concepts are tested, requirements are developed and product decisions are made. We support the development of high-performing business and customer-facing platforms and services in a rapidly changing and competitive environment. Our team helps clients sustain competitive advantage and profitability by defining technology and product strategies, designing AI-enabled solutions and supporting the execution of complex transformations.

We are looking for an experienced, passionate and results-oriented Product Manager who combines strong product-management fundamentals with practical experience using AI-enabled tools and methods to support product discovery and delivery. The successful candidate will be an effective problem solver who can identify appropriate opportunities to apply AI, use these capabilities responsibly and validate AI-generated outputs with business, design and technology stakeholders.

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.
• Experience using AI-enabled tools or methods to support one or more product activities—such as research synthesis, opportunity assessment, requirements development, rapid prototyping or product analytics—with appropriate human review of generated outputs.
• 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.
• Facilitate discussions with technical, design and business subject-matter resources to document requirements, establish a vision, and articulate alternatives for future state solutions across various domains and channels.
• Has supported product vision, defined and managed product roadmaps, prioritized and managed backlogs, and supported product or technology launches. Experience should include contributing to the identification of suitable AI-enabled opportunities, testing value or feasibility through prototypes or experiments, and defining measurable outcomes for AI-enabled features.
• Can participate in and drive ideation sessions, standups, sprints and scrums.
• Has specific domain knowledge and understands the market, customer, technology, data, AI and regulatory dynamics affecting the product, including the opportunities, limitations and risks of applying AI in a complex financial services environment.
• Experience with successfully managing projects with defined deliverables and budgets. Experience must include budgeting and managing the schedule; client relationship management; communicating strategically around key issues; conflict resolution and consensus building.
• Must have a thorough understanding of complex information systems and technology organizations and to be able to work effectively between the application, data infrastructure, operations and security architectural spaces.
• 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.

Nice To Haves

• Experience working alongside data, analytics or AI specialists to shape use cases, define outcomes and test AI-enabled features.
• Familiarity with product analytics, experimentation and evaluation methods, including approaches for validating the quality and usefulness of AI-generated outputs.
• Relevant product management, agile, design, cloud, data or AI training or certifications.

Responsibilities

• Support our clients in transforming their businesses through product management.
• Work with multidisciplinary feature teams, including user experience experts, architects, engineers, data and AI specialists and others, to define and launch products and services for large global organizations.
• Use user-centered, data-driven and AI-enabled methods to synthesize research, identify unmet needs, develop and test concepts, define business requirements and support product decisions.
• Advocate for users throughout the product lifecycle and apply human judgment to validate AI-generated insights and outputs.
• Simplify complex processes and touchpoints, prioritize opportunities, contribute to product roadmaps, manage product backlogs and coordinate teams to release quality products within planned timelines.
• Understand modern platform structures, cloud architectures, digital platforms and enablers, data strategy considerations, and the opportunities and limitations of AI-enabled products.
• Understand how product and delivery organizations operate within complex, regulated national and global companies.
• Support business development activities, such as pursuits and proposals, and practice-building activities such as mentoring colleagues and developing or delivering training.
• Support the development of product strategies that align with business objectives, identify appropriate opportunities for AI-enabled capabilities, and account for technology, data, experience design, risk and adoption considerations.
• Support the definition of product organization and operating models, including product taxonomy, organizational structure, funding methods, product delivery processes, governance models and decision rights, while considering the roles, skills, controls and human oversight needed for AI-enabled product development.
• Improve portfolio management with product metrics and OKRs that align work to business objectives and increase transparency/traceability of outcomes.
• Support technology delivery by using traditional and AI-enabled research and requirements tools to translate product vision, customer insights, business rules and enterprise knowledge into traceable business requirements, user stories and acceptance criteria; validate generated outputs with subject-matter experts; and help prioritize backlogs and maintain roadmaps.
• Support cross-functional teams of designers, engineers, data and AI specialists and testers through the software development lifecycle, using rapid prototypes and AI-assisted tools to test concepts, workflows and value hypotheses before implementation and deployment.
• Advocate for and help operationalize cross-functional practices such as user testing, experimentation, functional and regression test automation, evaluation of AI-enabled features, and alignment with industry, client, risk and regulatory standards.
• Use traditional and AI-enabled product management tools, such as JIRA, Azure DevOps, Aha!, Productboard, requirements repositories, AI assistants, enterprise knowledge tools and prototype-driven development platforms, to support discovery, prioritize opportunities, develop requirements, test concepts and deliver technology solutions.
• Use product analytics software and frameworks, such as Pendo and Amplitude, together with AI-enabled analysis, to synthesize user feedback, research, behavioral data and product performance; identify patterns and unmet needs; and translate findings into testable hypotheses and actionable recommendations.
• Advise on and implement best practices and standards for experience design, agile delivery, technology, data and responsible AI, adapting methods to client needs and established governance.
• Apply AI-enabled methods across selected parts of the product lifecycle—including research synthesis, concept generation, rapid prototyping, requirements development, backlog refinement and product analytics—to improve speed and quality. Use approved tools and reusable prompts, validate outputs and follow established safeguards for responsible use.
• Construct and communicate a compelling story to rally the client around potential changes and associated benefits.
• Drive desired outcomes defined in client engagements and carry through to implementation.
• 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 an understanding of the current technology and AI environment, relevant financial services trends and the evolving product management toolchain, and apply that understanding to engagement delivery and client service issues.

Benefits

• medical and dental coverage
• 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
• Feedback on your performance that will accelerate your growth
• comprehensive compensation and benefits package
• flexible vacation policy
• time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

What This Job Offers

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