Financial Services - Technology Consulting - Product Manager - Manager
About the role
... content ...
We need to preserve all substantive information. Let's craft About the role paragraph combining the introductory fluff and the opportunity description. Must not repeat job title. Should include location? Location: Anywhere in Country. Could include that as part of About the role. The location is metadata but we can fold minor metadata into a short. So we can include location in About the role paragraph. Let's extract About the role content: "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." We should keep that as prose in
. Might be long but okay. Responsibilities: after "Your Key Responsibilities". Let's extract that 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 put that in
. Requirements: The qualifications paragraph: "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 there are many bullet-like sentences after that describing demonstrated experience etc. Those are also requirements/skills. But we have a Skills section for those. The qualifications part is just degree/experience. The rest under "To qualify for the role you must have ..." continues with many bullet-like sentences: "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." etc. Those are more like skills/requirements. We could put them under Requirements or Skills. The instruction: Use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Skills). They list both Requirements and Qualifications as possible headings. We need to decide. The posting has a "To qualify for the role you must have..." which is qualifications. Then later there is a list of skills and attributes. So we can have Qualifications section for degree/experience, and Skills section for the rest.
Thus:
Qualifications
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 Skills section: we need to capture the bullet points under Skills And Attributes For Success, broken into subheadings? The instruction: Use for section headings. Use - for any list of duties/requirements/benefits. So we can treat each bullet as list items. We could have a
under Skills. The subheadings (Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting) could be maybe but we only allowed for section headings. Could we still use ? The instruction says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but to be safe we could just treat the whole Skills section as a list without subheadings, or we could embed subheadings as inside - . But better to follow instruction: Use
for section headings. So we can have only one Skills heading, and under it we can have a with list items that include the substance. We could incorporate the subheadings as part of the list item text.
Thus Skills section:
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
- under Skills. The subheadings (Strategy and Organization, Technology Delivery, Product Enablement, Core Consulting) could be maybe
- . But better to follow instruction: Use
for section headings. So we can have only one Skills heading, and under it we can have a
- with list items that include the substance. We could incorporate the subheadings as part of the list item text.
Thus Skills section:
- 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
Skills