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For Companies At a Glance
- Tasks: Lead the design and delivery of advanced analytics and AI finance platforms.
- Company: Global leader in digital and data transformation.
- Benefits: Career progression, professional development, and a flexible hybrid working model.
- Why this job: Make a significant impact on enterprise-scale analytics and AI initiatives.
- Qualifications: Experience with Oracle Analytics, strong stakeholder engagement, and finance background.
- Other info: Join a performance-driven team focused on excellence and innovation.
The predicted salary is between 72000 - 108000 £ per year.
Our large Global customer with a focus on significant digital and data transformation is seeking a Senior Manager for Analytics & AI Architect to lead the design and delivery of advanced analytics and AI-enabled finance platforms. This role focuses on building insight-driven finance capabilities using Oracle analytics and data technologies, supporting complex stakeholders across regulated and enterprise environments. The position combines technical architecture, delivery leadership, and strategic engagement with senior business leaders.
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 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 within a high-performance delivery environment
- Contribute to internal 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 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
- Background in Finance, Accounting, or Performance Management environments
- Exposure to Oracle Cloud Infrastructure and data integration services
- Experience working in regulated or public‑sector environments
Working Model
- Hybrid working 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
Assosiate Director - Oracle AI and Analytics employer: Next Ventures
Contact Detail:
Next Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assosiate Director - Oracle AI and Analytics
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, webinars, or even local meetups. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio or case studies showcasing your work with Oracle Analytics and AI solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by researching the company and its culture. Be ready to discuss how your skills align with their needs, especially around finance analytics and AI. Practice common interview questions and have your own questions ready to show your interest.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of a community that values growth and innovation in analytics and AI.
We think you need these skills to ace Assosiate Director - Oracle AI and Analytics
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Oracle Analytics and AI platforms. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects you've led!
Showcase Your Leadership Skills: Since this role involves leading teams and engaging with senior stakeholders, it’s crucial to demonstrate your leadership experience. Share examples of how you’ve successfully managed complex analytics initiatives and built strong relationships in previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make your achievements stand out. We appreciate a well-structured application that’s easy to read and highlights your key strengths.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join the StudySmarter team!
How to prepare for a job interview at Next Ventures
✨Know Your Oracle Inside Out
Make sure you brush up on your knowledge of Oracle Analytics Cloud, Fusion Data Intelligence, and Autonomous Data Warehouse. Be ready to discuss how you've used these technologies in past projects, especially in relation to finance analytics.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading complex analytics initiatives. Think about specific challenges you faced, how you engaged with stakeholders, and the impact of your leadership on project outcomes.
✨Speak Their Language
Familiarise yourself with finance reporting terminology and concepts. Being able to translate technical solutions into business value will impress your interviewers and show that you understand their needs.
✨Engage and Ask Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data transformation goals and how they envision the role contributing to those objectives. This shows your genuine interest and strategic thinking.
