Financial Services - Technology Consulting - Product Manager - Manager

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. The posting includes description about EY, opportunity, responsibilities, qualifications, skills, etc. No explicit Benefits, Pay, Schedule mentioned. There's mention of travel up to 80% (that's schedule? maybe schedule not given). No explicit benefits. So we should not create Benefits, Pay, Schedule sections unless actual content. We can include About the role (maybe intro), Responsibilities (Your Key Responsibilities), Requirements (to qualify...), Qualifications (maybe same as Requirements? but we can combine). Skills And Attributes For Success is a section; we can map to Skills. Also there is "What We Look For" but incomplete. We'll include Skills section with that content. We must not repeat job title as heading. No Job ID. Use

for each section heading. Use

• for lists. Use

  for prose. We need to preserve all substantive information; do not invent or summarize away detail. Must not create sections with filler like "commensurate with experience". So we only include sections where we have content. Let's extract content: About the role: The introductory paragraphs about EY, purpose, FSO, etc. Could be considered About the role. We'll put that in

  maybe multiple paragraphs. Responsibilities: "Your Key Responsibilities" bullet list (though it's prose sentences). We can convert each sentence to

• . The paragraph starts: "The goal is to help our clients transform their businesses through AI-enabled product management. As a Product Manager, you will work..." etc. We'll break into list items. Requirements: "To qualify for the role you must have Bachelor’s degree ... and 5 years ... Alternatively, will accept a Master’s degree ... and 4 years of work experience." plus other bullet-like requirements: "Demonstrated experience applying AI-enabled tools..." etc. We'll list each as
• . Qualifications: Might be overlapping with Requirements; but we could treat Requirements as qualifications. However we need to decide: maybe we can have Requirements (education/experience) and Qualifications (skills/attributes). But the instruction says prefer few substantive sections over many thin ones. Could combine education/experience and skills into one Requirements section? But they asked to use headings like Responsibilities, Requirements, Qualifications, Skills. We can include both Requirements and Qualifications if they have distinct content. The posting has "To qualify for the role you must have..." that's qualifications. Then "Skills And Attributes For Success" is skills. So we can have Requirements (education/experience) and Qualifications (maybe other qualifications like experience with AI-enabled tools etc.) Actually the "Skills And Attributes For Success" includes many detailed skill bullets. So we can treat that as Skills section. Then Requirements could be education/experience plus maybe "Experience must include budgeting and managing the schedule; client relationship management; communicating strategically around key issues; conflict resolution and consensus building." That's also part of qualifications. Might be better to have Requirements (education/experience) and Qualifications (other mandatory experience). But to avoid thin sections, we could combine education/experience and other mandatory experience into Requirements, and Skills into Skills. Let's see. We have sections: About the role, Responsibilities, Requirements, Skills. Possibly also "What We Look For" but it's incomplete; we can ignore as it's not substantive? It says "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" incomplete; we could ignore as it's not complete. Thus produce:

  About the role

  Location: Anywhere in Country 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.

  But note we should not repeat location line? It's part of About the role. Keep it. Now Responsibilities: We'll list each sentence as
• . Let's extract sentences from "Your Key Responsibilities" paragraph. Paragraph: "The goal is to help our clients transform their businesses through AI-enabled product management. As a Product Manager, you will 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. You will 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. You will advocate for users throughout the product lifecycle and apply human judgment to validate AI-generated insights and outputs. You can simplify complex processes and touchpoints, prioritize opportunities and use rapid experimentation and prototype-driven development to deliver exceptional experiences. You are a strategic thinker who can define product roadmaps, manage backlogs, make timely evidence-based decisions and coordinate teams to release quality products within planned timelines. You understand modern platform structures, cloud architectures, digital platforms and enablers, data strategy considerations, and the opportunities and limitations of AI-enabled products. You can also define appropriate human and agent authorities, evaluation approaches, controls and feedback loops for AI-enabled features in complex, regulated environments. In addition, you 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, you have experience with business development activities, including pursuits and proposals, and practice-building activities such as mentoring teams and developing and delivering training." We'll make each sentence a
• . Now Requirements: Education/experience plus maybe other mandatory experience like budgeting etc. Let's extract: "To qualify for the role you must have 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, will accept a Master’s degree in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field and 4 years of work experience." Then later: "Demonstrated experience applying AI-enabled tools and methods across product discovery and delivery, such as research synthesis, opportunity assessment, requirements development, rapid prototyping, experimentation or product analytics, with clear evidence of human validation and measurable improvement in product outcomes or delivery effectiveness." "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 set product vision, defined and managed product roadmaps, prioritized and managed backlogs, and led product launches. Experience should include identifying suitable AI-enabled opportunities, defining measurable product and model outcomes, testing value and feasibility through prototypes or experiments, and incorporating evaluation, human oversight and monitoring into the product lifecycle." "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." "Requires domestic and regional travel up to 80% to serve client needs." "Ideally, you’ll also have Experience designing, launching or scaling AI-enabled products in financial services or another complex, regulated environment." "Experience defining AI product measures, evaluation criteria, human oversight, controls and monitoring in collaboration with technology, data, risk, legal and compliance stakeholders." "Experience helping product organizations adopt new AI-enabled workflows, tools, roles and ways of working, supported by strong executive communication and change leadership." These are many items; we can list as
• under Requirements. Now Skills: The "Skills And Attributes For Success" section includes many bullet-like sentences grouped under headings: Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting. We'll extract each bullet as
• . Let's parse: Under 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