Financial Services - Technology Consulting - Product Manager - Senior
EY · Greenville, SC · 1 mo ago
Hybrid$120k–$200k/yrFull-time
We need to output HTML fragment with sections: headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real content.
We need to extract content from posting.
First, location: "Location: Anywhere in Country" - minor metadata, we can drop or put in short p.
We need to remove boilerplate: cookie/navigation/legal/EEO etc. Not present.
We need to preserve substantive info.
Let's parse the posting.
Paragraphs:
"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!"
That's about the company, could be "About the role"? Actually it's about EY. Could be "About the role" or "About EY". The instruction: use
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real content.
We need to extract content from posting.
First, location: "Location: Anywhere in Country" - minor metadata, we can drop or put in short p.
We need to remove boilerplate: cookie/navigation/legal/EEO etc. Not present.
We need to preserve substantive info.
Let's parse the posting.
Paragraphs:
"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!"
That's about the company, could be "About the role"? Actually it's about EY. Could be "About the role" or "About EY". The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have "About the role" heading and put that paragraph there.
Next: "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 could be part of "About the role" or maybe "Responsibilities"? Actually it's describing the team and role. Could be part of "About the role". We'll keep it under About the role.
Next: "Your Key Responsibilities 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 responsibilities. So we need a Responsibilities
with a - list of duties. The paragraph contains many sentences; we can break into list items. We'll need to extract each duty as a bullet.
Let's list responsibilities:
- Support clients in transforming their businesses through product management.
- Work with multidisciplinary feature teams (user experience experts, architects, engineers, data and AI specialists, 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, develop and test concepts, define business requirements and support 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, contribute to product roadmaps, manage product backlogs 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.
- Understand how product and delivery organizations operate within complex, regulated national and global companies.
- Outside client engagements, support business development activities, such as pursuits and proposals, and practice-building activities such as mentoring colleagues and developing or delivering training.
We'll put each as
- .
Next: "Skills And Attributes For Strategy and OrganizationSupport 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 considerationsSupport 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 developmentImprove portfolio management with product metrics and OKRs that align work to business objectives and increase transparency/traceability of outcomesTechnology DeliverySupport 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 roadmapsSupport 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 deploymentAdvocate 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 standardsProduct EnablementUse 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 solutionsUse 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 recommendationsAdvise on and implement best practices and standards for experience design, agile delivery, technology, data and responsible AI, adapting methods to client needs and established governanceApply AI-enabled methods across selected parts of the product lifecycle—including research synthesis, concept generation, rapid prototyping, requirements development, backlog refinement and product analytics—to improve speed and quality. Use approved tools and reusable prompts, validate outputs and follow established safeguards for responsible useCore ConsultingConstruct and communicate a compelling story to rally the client around potential changes and associated benefitsDrive desired outcomes defined in client engagements and carry through to implementationBegin developing 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 apply that understanding to engagement delivery and client service issues"
This seems like a list of skills/attributes grouped under categories: Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting. We need to output a Skills section (maybe also Qualifications?). The instruction: Use headings like Skills, Requirements, Qualifications. We have qualifications later: "To qualify for the role you must have Bachelor’s degree...". That's qualifications.
Thus we can have:
-
Skills
with bullet list of skills (maybe grouped). We'll extract bullet points from the long paragraph.
Let's parse the Skills And Attributes section.
It appears as a continuous string with no punctuation between items. We need to split logically.
I'll rewrite with clear items:
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 experience design, agile delivery, technology, data and responsible AI, adapting methods to client needs and established governance.
- Apply AI-enabled methods across selected parts of the product lifecycle—including research synthesis, concept generation, rapid prototyping, requirements development, backlog refinement and product analytics—to improve speed and quality. Use approved tools and reusable prompts, validate outputs and follow established safeguards for responsible use.
Core Consulting:
- Construct and communicate a compelling story to rally the client around potential changes and associated benefits.
- Drive desired outcomes defined in client engagements and carry through to implementation.
- Begin developing 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 apply that understanding to engagement delivery and client service issues.
We'll put these as bullet list under Skills.
Next: "To qualify for the role you must have 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
Responsibilities
with a- list of duties. The paragraph contains many sentences; we can break into list items. We'll need to extract each duty as a bullet. Let's list responsibilities: - Support clients in transforming their businesses through product management. - Work with multidisciplinary feature teams (user experience experts, architects, engineers, data and AI specialists, 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, develop and test concepts, define business requirements and support 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, contribute to product roadmaps, manage product backlogs 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. - Understand how product and delivery organizations operate within complex, regulated national and global companies. - Outside client engagements, support business development activities, such as pursuits and proposals, and practice-building activities such as mentoring colleagues and developing or delivering training. We'll put each as
- .
Next: "Skills And Attributes For Strategy and OrganizationSupport 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 considerationsSupport 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 developmentImprove portfolio management with product metrics and OKRs that align work to business objectives and increase transparency/traceability of outcomesTechnology DeliverySupport 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 roadmapsSupport 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 deploymentAdvocate 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 standardsProduct EnablementUse 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 solutionsUse 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 recommendationsAdvise on and implement best practices and standards for experience design, agile delivery, technology, data and responsible AI, adapting methods to client needs and established governanceApply AI-enabled methods across selected parts of the product lifecycle—including research synthesis, concept generation, rapid prototyping, requirements development, backlog refinement and product analytics—to improve speed and quality. Use approved tools and reusable prompts, validate outputs and follow established safeguards for responsible useCore ConsultingConstruct and communicate a compelling story to rally the client around potential changes and associated benefitsDrive desired outcomes defined in client engagements and carry through to implementationBegin developing 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 apply that understanding to engagement delivery and client service issues"
This seems like a list of skills/attributes grouped under categories: Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting. We need to output a Skills section (maybe also Qualifications?). The instruction: Use headings like Skills, Requirements, Qualifications. We have qualifications later: "To qualify for the role you must have Bachelor’s degree...". That's qualifications.
Thus we can have:
-
Skills
with bullet list of skills (maybe grouped). We'll extract bullet points from the long paragraph. Let's parse the Skills And Attributes section. It appears as a continuous string with no punctuation between items. We need to split logically. I'll rewrite with clear items: 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 experience design, agile delivery, technology, data and responsible AI, adapting methods to client needs and established governance. - Apply AI-enabled methods across selected parts of the product lifecycle—including research synthesis, concept generation, rapid prototyping, requirements development, backlog refinement and product analytics—to improve speed and quality. Use approved tools and reusable prompts, validate outputs and follow established safeguards for responsible use. Core Consulting: - Construct and communicate a compelling story to rally the client around potential changes and associated benefits. - Drive desired outcomes defined in client engagements and carry through to implementation. - Begin developing 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 apply that understanding to engagement delivery and client service issues. We'll put these as bullet list under Skills. Next: "To qualify for the role you must have 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