Financial Services - Technology Consulting - Product Manager - Manager

We need to output only HTML fragment with sections for headings where content exists. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate, navigation, legal, EEO, etc. Must preserve all substantive info. We need to parse the posting: It includes location line, then intro paragraphs about EY, purpose, etc. Then "The opportunity" paragraph describing team. Then "Your Key Responsibilities" bullet list (though not bullet but sentences). Then "Skills And Attributes For Success" with subheadings: Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting. Then "To qualify for the role you must have..." (Qualifications). Then "What We Look For" (maybe a section). Also travel requirement: "Requires domestic and regional travel up to 80% to serve client needs." Also "Ideally, you’ll also have ..." (maybe part of qualifications). Also "Experience designing, launching or scaling AI-enabled products..." etc. We need sections: About the role? Could be intro. Responsibilities. Requirements (Qualifications). Skills (maybe combine Skills And Attributes). Benefits? Not present. Pay? Not present. Schedule? Not present (travel is not schedule). So we will not create Pay/Benefits/Schedule sections. We must use

for section headings. Use

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    with headings? The instruction: Use

    • for any list of duties/requirements/benefits. So if we have a list of responsibilities, we should make a
      . Similarly for qualifications maybe list. We need to preserve all substantive info, not invent. Let's extract sections: - About the role / Overview: The introductory paragraphs after location: "At EY, we’re all in to shape your future with confidence.... Join EY and help to build a better working world.... EY is a leader...". That's descriptive about company and team. Could be "About the role" or "About EY". We'll use

      About the role

      and put paragraphs. - The opportunity: maybe part of About the role? Could be separate section "The opportunity". But we can combine. However instruction: Prefer few substantive sections over many thin ones. So maybe combine intro and opportunity into About the role. - Responsibilities: "Your Key Responsibilities" heading then many sentences. We'll make

      Responsibilities

      then
      • each responsibility. - Skills And Attributes For Success: Could be

        Skills and Attributes

        then maybe sub-sections? But we can just list each bullet under that heading. However there are subheadings: Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting. Those could be

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        for section headings. We could treat each as

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        . We could keep them as

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        • each skill area with its description. - Qualifications: "To qualify for the role you must have..." plus "Ideally, you’ll also have..." and travel requirement. We'll make

          Requirements

          then
          • each bullet. - What We Look For: maybe part of Requirements or separate? It's a short paragraph about self-motivated individuals. Could be included under Requirements as a bullet or separate

            What We Look For

            . Since it's substantive, we can make a section. We must not include boilerplate like "We’re interested in self-motivated individuals who can easily function in a high demand, performance-driven environment. In addition we’re looking for people who recognize the accomplishment" (cut off). Actually the text ends abruptly: "recognize the accomplishment". That seems incomplete; maybe it's boilerplate. We should preserve as is? It's incomplete sentence; but it's part of posting. We'll keep it. We must not include cookie/navigation/legal/EEO etc. Not present. Now craft HTML. We'll need to escape any HTML special characters? Not needed. Let's draft:

            About 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, 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 judgment with practical experience using AI-enabled tools and methods to bring products and product organizations to market. The successful candidate will be an effective problem solver who can identify where AI can improve product outcomes, redesign product workflows and decision-making, and guide multidisciplinary teams in the responsible adoption of new capabilities.

            Then Responsibilities:

            Responsibilities

            • Help our clients transform their businesses through AI-enabled product management.
            • Work with multidisciplinary feature teams, including user experience experts, architects, engineers, data and AI specialists, risk professionals 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, generate and evaluate concepts, define measurable outcomes and accelerate 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 and use rapid experimentation and prototype-driven development to deliver exceptional experiences.
            • Define product roadmaps, manage backlogs, make timely evidence-based decisions 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.
            • Define appropriate human and agent authorities, evaluation approaches, controls and feedback loops for AI-enabled features in complex, regulated environments.
            • Understand how product and delivery organizations are structured and how their roles, governance and ways of working must evolve as AI becomes embedded across the product lifecycle.
            • Outside client engagements, have experience with business development activities, including pursuits and proposals, and practice-building activities such as mentoring teams and developing and delivering training.
            Skills and Attributes:

            Skills and Attributes

            • Strategy and Organization: Develop product and AI strategies that align with business objectives, identify where AI can create differentiated customer or business value, and account for technology, data, experience design, risk and adoption considerations. Define product organization and operating models, including product taxonomy, organizational structure, funding methods, product delivery processes, governance models and decision rights, that help clients allocate funding, prioritize work and improve delivery quality and efficiency. Incorporate the roles, skills, human and agent authorities, controls and ways of working required for AI-enabled product development. Improve portfolio management by using product metrics, OKRs and AI-enabled insight generation to compare opportunities, test assumptions, align investment to business objectives and increase the transparency and traceability of decisions and outcomes.
            • Technology Delivery: Drive technology delivery by using AI-enabled research synthesis and requirements tools to translate product vision, customer insights, business rules, process information and enterprise knowledge into traceable business requirements, user stories and acceptance criteria; validate generated outputs with subject-matter experts; and prioritize backlogs and maintain roadmaps. Lead cross-functional teams of designers, engineers, data and AI specialists, risk professionals and testers through the product and software development lifecycles, using AI-assisted prototyping and simulation to test concepts, workflows and value hypotheses before scaling implementation and deployment. Advocate for and operationalize cross-functional practices including user testing, experimentation, functional and regression test automation, AI model and agent evaluations, and alignment with industry, client, risk and regulatory standards.
            • Product Enablement: Use traditional and AI-enabled product management tools JIRA, Azure DevOps, Aha!, Productboard and requirements repositories, as well as 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 qualitative and quantitative 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 each client’s maturity, risk profile and regulatory obligations. Embed AI-enabled methods across the product lifecycle to improve speed, quality and decision-making, including opportunity discovery, research synthesis, concept generation, rapid prototyping, requirements development, backlog refinement, product analytics and release planning. Select appropriate tools and models, define reusable prompts and workflows, validate outputs and establish safeguards for responsible use. Define and operationalize governance for AI-enabled products, including use-case intake, model and tool selection, evaluation criteria, human oversight, data and privacy controls, explainability, monitoring, escalation and ongoing performance management.
            • Core Consulting: Construct and communicate a compelling, evidence-based story that helps clients understand potential changes, associated benefits, AI-related risks and required operating-model implications, and rallies stakeholders around a clear path to adoption. Own the desired outcomes defined in client engagements and carry through to implementation. Manage service delivery, identifying future sales opportunities, and supporting practice development activities. Maintain 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 provide practical recommendations for engagement delivery and client service issues.
            Requirements:

            Requirements

            • Bachelor’s degree in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field and 5 years of progressive, post-baccalaureate work experience. Alternatively, a Master’s degree in Computer Science, Engineering, Information Systems Management, Accounting, Finance