Financial Services - Technology Consulting - Product Manager - Manager

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Skills, Benefits, Pay, Schedule only if present. The posting includes location line, description, etc. No explicit Benefits, Pay, Schedule. There's travel requirement but not schedule. No benefits listed. So we should not create those sections. We need headings: About the role, Responsibilities, Requirements, Skills (maybe Skills And Attributes For Success). Also maybe Qualifications? The posting includes "To qualify for the role you must have..." that's qualifications. Could put under Requirements or Qualifications. The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can choose which sections have content. We have About the role: description of team, opportunity. We'll put that. Responsibilities: "Your Key Responsibilities" block. Requirements: qualifications (education, experience) plus maybe travel? Travel is requirement? Could be under Requirements. Skills: "Skills And Attributes For Success" block. We should not repeat job title. No Job ID. We must preserve all substantive information, not invent. Remove boilerplate: location line? It's location: Anywhere in Country. That's minor metadata; we can fold into short p or drop. Probably include as a short p at top? The instruction: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

or drop it. So we can include location as a short p. We need to output only HTML fragment, no html/body tags. Let's craft:

Location: Anywhere in Country

About the role

... paragraphs from the opportunity section ...

Responsibilities

• ... each responsibility ...

Requirements

• ... education/experience ...
• ... travel up to 80% ...

Skills

• ... each skill bullet ...

We need to ensure we don't create sections with filler. All content must be preserved. We need to extract the text. Let's parse the posting. First paragraph: "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!" We can combine into a paragraph. Then "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." That's about the role. Then "Your Key Responsibilities 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 need to break into list items. Each sentence could be a list item. We'll create

• ...

. Then "Skills And Attributes For Success Strategy and OrganizationDevelop 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 DeliveryDrive 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 EnablementUse traditional and AI-enabled product management toolsJIRA, 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 ConsultingConstruct 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 implementationManage 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." We need to split into list items. The text is concatenated without spaces; we need to infer boundaries. It's messy. We'll approximate by splitting at capital letters after a period? But we can just keep as a paragraph? The instruction: Use

• for any list of duties/requirements/benefits. The Skills section is a list of attributes; we should make list items. However the text is not clearly delimited. We could still make each sentence as a li by inserting periods. But we need to preserve all substantive information; we can keep as a paragraph inside

  maybe acceptable? The rule says use

  • for any list of duties/requirements/benefits. Skills is a list; we should use list. We'll try to parse. Let's manually split based on known headings: "Strategy and Organization", "Technology Delivery", "Product Enablement", "Core Consulting". Each heading seems to start a new category. We'll create list items under each heading. Strategy and Organization bullet points: - 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,