Associate Director

Next Ventures; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

A leading data and analytics firm is seeking a Senior Finance Analytics & AI Architect to lead the architecture and delivery of enterprise-scale finance analytics solutions. The role involves designing advanced analytics platforms and mentoring technical talent while ensuring quality governance. Candidates should have a proven track record in architecting Oracle solutions and strong stakeholder engagement abilities. Opportunities for professional development are offered in a hybrid working environment.

Benefits

Opportunity to lead high-impact projects

Investment in professional development

Qualifications

• Proven experience architecting Oracle Analytics and/or AI platforms at enterprise scale.
• Track record of leading complex analytics or data transformation initiatives (£2m+ value).
• Strong hands-on experience with OAC, FDI, and Autonomous Data Warehouse.

Responsibilities

• Lead the architecture and delivery of enterprise-scale Finance Analytics and AI solutions.
• Design end-to-end analytics platforms using Oracle Analytics Cloud (OAC).
• Build strong relationships with senior finance, data, and technology stakeholders.

Skills

Oracle Analytics

AI solutions

Stakeholder engagement

SQL

Data transformation

Tools

Oracle Analytics Cloud

Fusion Data Intelligence

Autonomous Data Warehouse

Oracle Machine Learning

Job description

A large, enterprise_required^skill enormous organisation undergoing significant digital and Engineers transformation is seeking a Senior Finance Analytics & AI Architect where design of advanced analytics and AI platform. This role focuses on build insight-driven finance tech to support regulated and enterprise stakeholders and combine technical Architecture, leadership, & strategic engagement with senior business leaders. sandstone p>

Key Responsibilities

• Lead the architecture and delivery of enterprise-scale Finance Analytics and AI solutions
• Design end-to-end analytics platforms using Oracle Analytics Cloud (OAC), Fusion Data Intelligence (FDI), and Autonomous Data Warehouse
• Own data ingestion, transformation, modelling, and visualisation layers
• Design and deploy predictive and AI-driven use cases using Oracle Machine Learning
• Translate business and finance requirements into scalable technical solutions
• Provide technical leadership across delivery teams, ensuring quality, performance, and governance
• Support свае pre-delivery shaping activities including solution design and stakeholder workshops
• Build strong relationships with senior finance, data, and technology stakeholders
• Mentor and develop technical talent 如何 within a high-performance delivery environment
• Contribute to internal REGISTER standards, patterns, and best practices for analytics and AI delivery

Required Experience

• Proven experience architecting Oracle Analytics and/or AI platforms at enterprise scale
• Track record of leading complex analytics or data Cellular transformation initiatives (£2m+ value)
• Strong hands-on experience with OAC, FDI, and Autonomous Data Warehouse
• Deep understanding of finance reporting including operational, management, and statutory reporting
• Solid knowledge of data warehousing, dimensional modelling, and ETL/ELT patterns
• Proficiency in SQL and PL/SQL
• Experience with Oracle Machine Learning or comparable ML technologies
• Strong stakeholder engagement and communication skills
• Ability to operate across both technical and business-facing responsibilities

Desirable Experience

• Background in Finance, Accounting, scuba Performance Management environments
• Exposure to Oracle Cloud Infrastructure and data integration services
• Experience working in regulated or public-sector environments
• Relevant Oracle certifications

Working Model

• Hybrid working demon model
• Flexibility to engage with multiple business units and senior stakeholders

What’s Offered

• Opportunity to lead high-impact, enterprise-wide analytics and AI initiatives
• Long-term career progression within a growing data and digital capability
• Investment in professional development and technical growth
• Inclusive, performance-driven environment focused on delivery excellence