Financial Services - Technology Consulting - Product Manager - Senior

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate like EEO, navigation, cookie, etc. Must not include placeholder like "commensurate with experience". Must not create Pay/Schedule/Benefits unless posting actually states them. The posting includes Pay: base salary ranges given. Benefits: mentions comprehensive compensation and benefits package, medical and dental coverage, pension and 401(k) plans, wide range of paid time off options, flexible vacation policy. So Benefits section can be included. Schedule: Not explicitly mentioned; there is travel requirement up to 80% but not schedule like full-time/part-time. No schedule info. So omit Schedule. We need sections: About the role (intro paragraph), Responsibilities (Your Key Responsibilities), Requirements (To qualify for the role you must have...), Skills (Skills And Attributes maybe plus What We Look For?), Benefits (What We Offer You), Pay (base salary range). Possibly also Qualifications? The posting includes "To qualify for the role you must have..." which is qualifications. Could treat as Requirements. Also there is "Skills And Attributes" which is skills. Could also include "Qualifications" separate? But we should avoid thin sections. We can combine qualifications into Requirements. Or we could have Requirements (education/experience) and Skills (skills and attributes). The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can include both Requirements and Qualifications if content distinct. But we have qualifications (education/experience) and also skills. Could treat Requirements as the experience/education, Qualifications as maybe "proven delivery skills" etc. But to avoid thin sections, maybe combine. We need to preserve all substantive information. Let's extract: About the role: The introductory paragraphs about EY, FSO, purpose, opportunity, team description. We'll summarize but must preserve all substantive info, not invent or summarize away detail. However we can condense but must keep all info? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." That suggests we should not omit details; we need to keep them. But we can rephrase? Probably we need to keep the content but can be in

tags. We can keep the paragraphs as is, just restructure. We need to avoid boilerplate like cookie/navigation/legal/EEO etc. The posting includes some generic statements but not obviously boilerplate. We'll keep the substantive description. Let's craft sections:

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-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.

That seems to capture all. Next Responsibilities: "Your Key Responsibilities" block. We'll put

Responsibilities

then

• each bullet. We need to preserve all bullet points. Let's extract them: - The goal is to support our clients in transforming their businesses through product management. As a Product Manager, you will 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. - You will 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. - 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, contribute to product roadmaps, manage product backlogs 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. - In addition, you understand how product and delivery organizations operate within complex, regulated national and global companies. - Outside client engagements, you have experience supporting business development activities, such as pursuits and proposals, and practice-building activities such as mentoring colleagues and developing or delivering training. That's the list. Next Requirements: "To qualify for the role you must have Bachelor’s degree..." and also alternative Master's. Also includes experience using AI-enabled tools, proven delivery skills, facilitate discussions, etc. Actually many of those are under Skills And Attributes. But we can separate: Requirements = education/experience baseline. Skills = skills and attributes. Let's extract 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. That's a lot; many are skills but we can keep them under Requirements. But we also have Skills And Attributes section with many bullet points. To avoid duplication, we could treat the whole list as Skills. However the instruction says we can have both Requirements and Qualifications sections. But we need to avoid thin sections. Perhaps we combine all into one Requirements section? But then we lose Skills heading. However we could have Requirements (education/experience) and Skills (the rest). Let's try to split logically. Requirements (education/experience): - Bachelor’s degree ... 3 years ... OR Master’s degree ... 2 years. - Experience using AI-enabled tools or methods to support one or more product activities... (maybe skill) But that's skill. Better: Requirements = education/experience minimum. Skills = all other skill-based bullets. Let's do that. 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. Skills: Then list all other skill bullets (including AI experience, delivery skills, facilitation, product vision, ideation, domain knowledge, project management, understanding of systems, communication, travel). Also include the Skills And Attributes bullet list (which is quite detailed). We need to preserve all. Let's extract Skills And Attributes bullet list (the long one starting with "For Strategy and Organization" etc). That is a set of sub-bullets under headings: For Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting. We need to preserve them. We'll convert each bullet into
• . Might be many. Let's list them: For Strategy and Organization - 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 Technology Delivery - 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 Product Enablement - 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