Oracle Fusion Enterprise Consultant

Job Title - Oracle Fusion Enterprise Consultant
Location - Lincoln Nebraska
Onsite Opportunity
Contract to hire
Pay rate - $85
Technologies:
Oracle Fusion, Oracle FDI, Oracle AI Lakehouse, Power BI, Analytics Cloud
Experience: 8 Years +
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.

• 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.
• EPBCS Integration & Planning Enablement:
• Align planning, forecasting, and performance management processes with governed financial semantics to ensure consistency between actuals, plans, forecasts, and management reporting.
• Integrate EPBCS with FDI and AI Lakehouse.
• Align planning models with standardized KPI definitions.
• Support budgeting, forecasting, and variance analysis processes.
• Improve consistency across planning and actuals reporting.
• Data Governance & Operating Model
• Establish the policies, controls, and governance framework required to maintain trusted, compliant, and audit-ready financial data while supporting broad business consumption and AI enablement.
• Define governance processes for KPIs, hierarchies, and semantics.
• Establish standards for data quality and lineage.
• Implement metadata and auditability controls.
• Define ownership and stewardship models.
• Support regulatory and compliance requirements.

The person would: