Oracle Fusion Architect

We need to output HTML fragment with sections: Use

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to parse the posting. Key info: - Intro paragraph: "Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world." - Location: Lincoln, Wisconsin (maybe location line). Should we include location? Not a heading; we can put in a

maybe. - Job Description: FP&A Enterprise Technology Architect Technologies: Oracle Fusion, Oracle FDI, Oracle AI Lakehouse, Power BI, Analytics Cloud Experience: Role: Senior Technical Architect - Then sections: Key Responsibilities (list of bullet points). Then maybe "FP&A Data & Semantic Architecture", "Analytics, Reporting & Visualization", "AI Lakehouse & Advanced Analytics", "Fusion AI and Agent development". Those are subheadings within responsibilities. - Then compensation: "The base compensation range for this role in the posted location is: $140000- $160000". Also mention variable incentives etc. Also benefits: "Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees." Then list benefits. - Also mention "In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions..." - Also mention "Capgemini provides compensation range information..." but that's boilerplate about compensation; we can maybe include in Pay section? The instruction: include Pay section only if posting actually states them. It does state base compensation range. So we should have a Pay section with that range. Also mention variable incentives maybe. - Benefits: we have a benefits paragraph with list. So we should have Benefits section with

• . - Schedule: Not mentioned. So omit. - Requirements/Qualifications/Skills: Not explicitly listed; maybe the technologies and experience implied. There's no explicit "Requirements" bullet list. The posting includes "Technologies: Oracle Fusion, Oracle FDI, Oracle AI Lakehouse, Power BI, Analytics Cloud". Could treat as Skills. Also "Experience: Role: Senior Technical Architect". Could be Qualifications. But we need to avoid thin sections. We could combine into a Skills section listing technologies. Or maybe a Qualifications section with bullet points: Experience as Senior Technical Architect, expertise in listed technologies. However we need to preserve all substantive information; we can't invent. We can create a Skills section with bullet list of technologies. Also maybe a Qualifications section with bullet: Senior Technical Architect experience. But we need to avoid filler. Let's see: The posting includes "Experience: Role: Senior Technical Architect". That's a qualification. Could be included under Qualifications. Better: Have sections: About the role (intro paragraph), Responsibilities (the bullet points under Key Responsibilities and sub-sections), Skills (technologies list), Qualifications (Senior Technical Architect experience), Benefits, Pay. But we need to avoid duplication. The responsibilities section already includes many bullet points; we can keep them as a single
  with items being the bullet points (maybe grouping subheadings as inside li? But we need to preserve content; we can keep subheadings as plain text within li. Simplify: Create

  Responsibilities

  then
  • each bullet point from the responsibilities list (including the subheadings as part of the li text). We'll need to extract bullet points. Let's list responsibilities from the text: Under "Key Responsibilities": - Delivery Leadership & Solution Execution - Provide end-to-end leadership for solution delivery, ensuring the successful implementation of the target-state architecture while balancing governance, scalability, business value, and delivery timelines. - Lead phased delivery across architecture, analytics, AI, and reporting. - Oversee design, build, testing, and deployment activities. - Manage solution quality, risks, and dependencies. - Ensure alignment with enterprise architecture and governance standards. - Mentor architects, engineers, analysts, and AI practitioners. - Stakeholder Engagement & Business Transformation - Serve as the bridge between Finance, Actuarial, IT, and Executive Leadership by translating business objectives into a practical modernization roadmap and ensuring successful adoption of new capabilities. - Partner with Finance, FP&A, Actuarial, and IT stakeholders. - Facilitate architecture and strategy workshops. - Develop roadmaps, business cases, and transformation plans. - Present recommendations to executive leadership. - Drive organizational alignment and change adoption. - FP&A Data & Semantic Architecture - Own the design of a governed finance data foundation by establishing ledger-aligned semantics, standardized KPIs, and reusable business definitions that enable consistent reporting, planning, analytics, and AI across Finance and Actuarial functions. - Design and implement a ledger-aligned semantic layer using FDI. - Define and govern KPIs, hierarchies, and business rules. - Establish a single source of truth across Finance, FP&A, and Actuarial. - Ensure end-to-end traceability from KPI to transaction-level detail - Analytics, Reporting & Visualization - Lead the development of a modern analytics and reporting ecosystem using Oracle Analytics Cloud and Power BI, enabling business users to transition from static reporting to self-service, insight-driven decision-making. - Design reporting solutions using OAC and Power BI. - Build executive dashboards and management reporting. - Define visualization standards and reporting frameworks. - Enable governed self-service analytics. - Integrate financial, actuarial, and enterprise datasets into reporting platforms. - AI Lakehouse & Advanced Analytics - Architect and deliver a scalable AI-ready data platform that unifies finance, actuarial, and enterprise data to support advanced analytics, predictive insights, forecasting, and emerging AI use cases. - Design and implement Oracle AI Lakehouse. - Enable advanced analytics and predictive capabilities. - Support scenario modeling and forecasting. - Develop enterprise data models supporting AI and machine learning. - Integrate operational, financial, actuarial, and external data domains. - Fusion AI and Agent development - Drive the adoption of AI-enabled finance capabilities by building intelligent agents and copilots using Fusion Agent Studio that automate analysis, improve decision support, and enhance user productivity. - Design and implement AI-enabled finance use cases. - Build and configure AI agents using Fusion Agent Studio. - Develop workflows for variance analysis, forecasting assistance, and financial insights. - Establish AI governance and security controls. - Support adoption of agent-based finance experiences. We'll include each bullet as
  • . For subheadings like "Delivery Leadership & Solution Execution" we could treat as a
  • with bold text? But we can just include as a
  • with that heading (maybe ending with colon). The original had those as headings; we can keep them as
  • Delivery Leadership & Solution Execution: ... but we need to preserve content. We'll just include them as
  • with the heading as plain text (maybe ending with colon). That's fine. Now Skills: technologies list: Oracle Fusion, Oracle FDI, Oracle AI Lakehouse, Power BI, Analytics Cloud. Could also include maybe "Fusion Agent Studio". But that's a tool. We'll list those. Qualifications: "Experience: Role: Senior Technical Architect". Could also include that they need experience as Senior Technical Architect. We'll put that as a bullet. Benefits: list from paragraph: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave, Medical, dental, and vision coverage (or provincial healthcare coordination in Canada), Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada), Life and disability insurance, Employee assistance programs, Other benefits as provided by local policy and eligibility. We'll make each as
  • . Pay: base compensation range: $140000- $160000. Also mention variable incentives etc. We'll include both base range and note variable incentives. We should not include boilerplate like EEO etc. Remove. Now produce HTML fragment:

    About the role

    Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

    Location: Lincoln, Wisconsin

    Responsibilities

    • Delivery Leadership & Solution Execution: Provide end-to-end leadership for solution delivery, ensuring the successful implementation of the target-state architecture while balancing governance, scalability, business value, and delivery timelines.
    • Lead phased delivery across architecture, analytics, AI, and reporting.
    • Oversee design, build, testing, and deployment activities.
    • Manage solution quality, risks, and dependencies.
    • Ensure alignment with enterprise architecture and governance standards.
    • Mentor architects, engineers, analysts, and AI practitioners.
    • Stakeholder Engagement & Business Transformation: Serve as the bridge between Finance, Actuarial, IT, and Executive Leadership by translating business objectives into a practical modernization roadmap and ensuring successful adoption of new capabilities.
    • Partner with Finance, FP&A, Actuarial, and IT stakeholders.
    • Facilitate architecture and strategy workshops.
    • Develop roadmaps, business cases, and transformation plans.
    • Present recommendations to executive leadership.
    • Drive organizational alignment and change adoption.
    • FP&A Data & Semantic Architecture: Own the design of a governed finance data foundation by establishing ledger-aligned semantics, standardized KPIs, and reusable business definitions that enable consistent reporting, planning, analytics, and AI across Finance and Actuarial functions.
    • Design and implement a ledger-aligned semantic layer using FDI.
    • Define and govern KPIs, hierarchies, and business rules.
    • Establish a single source of truth across Finance, FP&A, and Actuarial.
    • Ensure end-to-end traceability from KPI to transaction-level detail.
    • Analytics, Reporting & Visualization: Lead the development of a modern analytics and reporting ecosystem using Oracle Analytics Cloud and Power BI, enabling business users to transition from static reporting to self-service, insight-driven decision-making.
    • Design reporting solutions using OAC and Power BI.
    • Build executive dashboards and management reporting.
    • Define visualization standards and reporting frameworks.
    • Enable governed self-service analytics.
    • Integrate financial, actuarial, and enterprise datasets into reporting platforms.
    • AI Lakehouse & Advanced Analytics: Architect and deliver a scalable AI-ready data platform that unifies finance, actuarial, and enterprise data to support advanced analytics, predictive insights, forecasting, and emerging AI use cases.
    • Design and implement Oracle AI Lakehouse.
    • Enable advanced analytics and predictive capabilities.
    • Support scenario modeling and forecasting.
    • Develop enterprise data models supporting AI and machine learning.
    • Integrate operational, financial, actuarial, and external data domains.
    • Fusion AI and Agent development: Drive the adoption of AI-enabled finance capabilities by building intelligent agents and copilots using Fusion Agent Studio that automate analysis, improve decision support, and enhance user productivity.
    • Design and implement AI-enabled finance use cases.
    • Build and configure