Financial Services - Technology Consulting - Product Manager - Manager
for section headings, - for lists,
for prose. No markdown fences. No /. Remove boilerplate, duplicate lines, application instructions, etc. Keep substantive info.
We need to parse the posting.
Key sections: About the role? The posting starts with location and description. We can have sections: About the role (maybe the intro paragraph), Responsibilities (Your Key Responsibilities), Requirements (To qualify for the role you must have...), Skills And Attributes For Success (maybe combine with Requirements? But we can have separate sections: Skills, Qualifications? The instruction: use headings for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide which sections have content.
We have:
- Intro: "Location: Anywhere in Country At EY, we’re all in to shape your future with confidence..." This is about the company and role. Could be "About the role". We'll put that in
.
- "The opportunity The Product and Experience Design (PxD) Team..." This also describes role. Could be part of About the role.
- "Your Key Responsibilities" heading present. We'll make
Responsibilities
and list bullet points.
- "Skills And Attributes For Success" heading present. Could be Skills
or Skills And Attributes For Success
. Use heading "Skills". We'll list bullet points.
- "To qualify for the role you must have..." This is qualifications. We'll make Qualifications
and list bullet points.
- "What We Look For" maybe could be part of Skills? But we can include as part of Skills or maybe "About the role"? It's a short paragraph about self-motivated individuals. We'll incorporate into About the role or maybe as a separate section "What We Look For" but not in allowed headings list. Probably better to fold into About the role or Skills. Since we prefer few substantive sections, we can incorporate into About the role.
- Travel requirement: "Requires domestic and regional travel up to 80% to serve client needs." That's a detail; could be part of Responsibilities or Qualifications? Probably part of Responsibilities (maybe as a bullet). We'll include as bullet under Responsibilities.
- No explicit Pay, Benefits, Schedule sections. So we omit those.
- No duplicate lines.
We need to preserve all substantive information. Must not invent or summarize away detail. Must not omit details like specific tools (JIRA, Azure DevOps, Aha!, Productboard, etc.), specific methods, etc.
We need to convert lists into - . For responsibilities, there are many sentences; we can break each sentence into a bullet.
Similarly for skills and attributes, there are many bullet-like paragraphs each starting with a bold heading like "Strategy and Organization", "Technology Delivery", etc. Those are subheadings within the skills section. We could keep them as inside
- or as separate headings? The instruction: use
for section headings, - for any list of duties/requirements/benefits, and
for prose. So within a list we can have
- containing prose, possibly with for emphasis. That's fine.
We must not repeat the job title as a heading. The job title is not explicitly given but maybe "Product Manager". We'll not add heading for that.
We must not put Job ID/requisition numbers as headings; none present.
We must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The posting doesn't have those explicitly but there is a line "What We Look For 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" truncated. That's incomplete; we should keep as is? It's incomplete sentence; but we must preserve ALL substantive information; we cannot invent or summarize away detail. The line ends abruptly; we should keep it as is? It's likely a cut-off; but we must keep it exactly as provided. We'll include it.
Now craft HTML.
Structure:
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. What We Look For 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
But that paragraph is huge; maybe we split into multiple for readability but not required. The instruction: use
for prose. Could have multiple
elements. We'll break into logical chunks: intro paragraph, opportunity paragraph, what we look for paragraph.
Now Responsibilities:
Responsibilities
- 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.
- Requires domestic and regional travel up to 80% to serve client needs.
Now Skills:
Skills
- 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.
Now Qualifications:
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems Management
for prose. No markdown fences. No /. Remove boilerplate, duplicate lines, application instructions, etc. Keep substantive info. We need to parse the posting. Key sections: About the role? The posting starts with location and description. We can have sections: About the role (maybe the intro paragraph), Responsibilities (Your Key Responsibilities), Requirements (To qualify for the role you must have...), Skills And Attributes For Success (maybe combine with Requirements? But we can have separate sections: Skills, Qualifications? The instruction: use headings for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide which sections have content. We have: - Intro: "Location: Anywhere in Country At EY, we’re all in to shape your future with confidence..." This is about the company and role. Could be "About the role". We'll put that in
. - "The opportunity The Product and Experience Design (PxD) Team..." This also describes role. Could be part of About the role. - "Your Key Responsibilities" heading present. We'll make
Responsibilities
and list bullet points. - "Skills And Attributes For Success" heading present. Could beSkills
orSkills And Attributes For Success
. Use heading "Skills". We'll list bullet points. - "To qualify for the role you must have..." This is qualifications. We'll makeQualifications
and list bullet points. - "What We Look For" maybe could be part of Skills? But we can include as part of Skills or maybe "About the role"? It's a short paragraph about self-motivated individuals. We'll incorporate into About the role or maybe as a separate section "What We Look For" but not in allowed headings list. Probably better to fold into About the role or Skills. Since we prefer few substantive sections, we can incorporate into About the role. - Travel requirement: "Requires domestic and regional travel up to 80% to serve client needs." That's a detail; could be part of Responsibilities or Qualifications? Probably part of Responsibilities (maybe as a bullet). We'll include as bullet under Responsibilities. - No explicit Pay, Benefits, Schedule sections. So we omit those. - No duplicate lines. We need to preserve all substantive information. Must not invent or summarize away detail. Must not omit details like specific tools (JIRA, Azure DevOps, Aha!, Productboard, etc.), specific methods, etc. We need to convert lists into- . For responsibilities, there are many sentences; we can break each sentence into a bullet.
Similarly for skills and attributes, there are many bullet-like paragraphs each starting with a bold heading like "Strategy and Organization", "Technology Delivery", etc. Those are subheadings within the skills section. We could keep them as inside
- or as separate headings? The instruction: use
for section headings,
- for any list of duties/requirements/benefits, and
for prose. So within a list we can have
- containing prose, possibly with for emphasis. That's fine.
We must not repeat the job title as a heading. The job title is not explicitly given but maybe "Product Manager". We'll not add heading for that.
We must not put Job ID/requisition numbers as headings; none present.
We must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The posting doesn't have those explicitly but there is a line "What We Look For 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" truncated. That's incomplete; we should keep as is? It's incomplete sentence; but we must preserve ALL substantive information; we cannot invent or summarize away detail. The line ends abruptly; we should keep it as is? It's likely a cut-off; but we must keep it exactly as provided. We'll include it.
Now craft HTML.
Structure:
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. What We Look For 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
But that paragraph is huge; maybe we split into multiplefor readability but not required. The instruction: use
for prose. Could have multiple
elements. We'll break into logical chunks: intro paragraph, opportunity paragraph, what we look for paragraph. Now Responsibilities:
Responsibilities
- 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.
- Requires domestic and regional travel up to 80% to serve client needs.
Skills
- 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.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems Management
- or as separate headings? The instruction: use