Data & Insights Lead — AI-Driven Analytics & Dashboards

Ellison Institute of Technology; Oxford; On-site; GBP 70,000 - 110,000; Full time

Job summary

Ellison Institute of Technology (EIT) is seeking a Data and Insights Lead to drive trusted business data, lead financial and operational reporting, and improve data quality and governance. You will coordinate migration to Oracle Fusion and help implement AI-enabled analytics across Finance, Operations and Technology teams.

You will shape data definitions, ensure reliable information through dashboards and self-service tools, and collaborate with external partners to deliver high-impact insights.

Qualifications

• Demonstrated experience delivering enterprise reporting, analytics or data improvements, with responsibility for leading a team, workstream or substantial project.
• Understanding of financial and operational processes, measures and controls, and translating business questions into useful reporting requirements.
• Practical experience with an enterprise business system and a reporting or analytics platform.
• Backgrounds may include Oracle, SAP, Microsoft Dynamics, Workday, NetSuite or similar environments.
• Experience improving data quality, establishing consistent definitions and applying data governance with business owners.
• Experience of data migration, system change or integration, including validation, reconciliation and business acceptance.

Responsibilities

• Work with business stakeholders to understand the decisions they need to make, agree reporting priorities and deliver clear, useful financial and operational insights.
• Lead the delivery and maintenance of reports, dashboards and self-service analytics, ensuring that formal financial and management reporting remains accurate, reproducible and timely.
• Lead data and reporting migration from NetSuite and other business systems to Oracle Fusion, coordinating mapping, cleansing, validation, reconciliation and stakeholder sign-off.
• Establish common definitions for key performance indicators and business measures, with Finance and operational owners approving the relevant rules and assumptions.
• Own the reporting data models and work with the systems architect and technical specialists on integration, performance and traceability from reported figures to source data.
• Coordinate data governance across enterprise business systems, agreeing ownership, quality standards and retention and cleansing arrangements with business owners and relevant policy specialists.
• Assess existing reports and simplify the reporting estate.
• Identify where standard reports, dashboards, conversational queries or proactive alerts best meet the business need.
• Partner with functional and technical teams to enable AI-assisted insight and exception monitoring, using approved data sources and agreed business definitions.
• Validate AI-generated answers against reconciled data and expected results.
• Work with security and process owners to test access restrictions, supporting evidence and escalation to human review.
• Lead reporting and data testing for system releases, including regression checks for key reports and AI-enabled analytics as these capabilities are introduced.
• Lead and develop the reporting team, coordinate implementation partners and manage delivery priorities.
• Provide hands-on analysis where needed and bring in specialist expertise for complex work.
• Help colleagues use reporting and analytics effectively.
• Track adoption, data quality, accuracy and business benefits to guide improvement.

Skills

Enterprise reporting

Data governance

Team leadership

Data migration

Analytics platform

Financial processes

Tools

Oracle Fusion

NetSuite

Power BI

Job description

Ellison Institute of Technology (EIT) is seeking a Data and Insights Lead to drive trusted business data, lead financial and operational reporting, and improve data quality and governance. You will coordinate migration to Oracle Fusion and help implement AI-enabled analytics across Finance, Operations and Technology teams.

You will shape data definitions, ensure reliable information through dashboards and self-service tools, and collaborate with external partners to deliver high-impact insights.