Analytics & AI Lead - Oracle Application Cloud - OAC - Permanent

Analytics & AI Lead - Oracle Application Cloud - OAC - Permanent

Key Responsibilities

• Lead the design, development and continual improvement of the clients analytics products, with a focus on Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence.
• Own the product roadmap for analytics, AI and Machine Learning aligning with the Head of Product and peers in Finance, HR, Logistics, Operations and Commercial teams.
• Manage and mentor a small team of reporting SMEs and analysts, fostering a culture of evidence-based delivery and user-focused design.
• Engage with stakeholders to understand their analytical needs, translating these into dashboards, reports, and automated solutions.
• Champion a culture of data governance, literacy, and evidence-based decision-making across the organisation.
• Analyse user feedback and data to uncover pain points, improve decision-making tools, and maximise the value of our data assets.
• Design and optimise cloud-based integrations to connect data across systems and services.
• Support operational change including test planning, user training, and change impact assessments.
• Present technical and strategic proposals to the Head of Product, outlining value, feasibility and cost-benefit cases.
• Drive data literacy across teams and develop reusable frameworks and patterns for analytics delivery.

Experience

• 5+ years in analytics, business intelligence, or data product roles, ideally within large or complex environments.
• Proven experience in implementing and delivering business solutions using Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence.
• Experience working with Oracle ERP/HCM Cloud or eBusiness Suite, with a strong understanding of functional areas such as HR, Commercial, Finance and Logistics.
• Practical experience with ETL, data modelling, and dashboard/reporting development.
• Experience in leading product teams or data-focused project teams, with stakeholder engagement at all levels.
• Working knowledge of integration technologies and data pipelines (eg Oracle Integration Cloud, APIs).
• Public sector or shared services experience (desirable).