
Associate Director, Oracle Analytics & AI Architect, Business Finance
- London
- Permanent
- Full-time
- Support the sale of Analytics & AI programmes, including responding to RFPs, writing proposals, and delivering proposal presentations
- Provide technical leadership and guidance to project teams, ensuring the successful delivery of high-quality solutions within scope, time, and budget.
- Collaborate with business stakeholders to understand their analytical requirements and translate them into technical specifications.
- Leading the design and architecture of end-to-end Oracle Analytics and AI solutions, encompassing data ingestion, transformation, visualization, and predictive modelling.
- Design and implement data pipelines and integrations between various data sources and Oracle Analytics Cloud.
- Develop and deploy machine learning models using Oracle Machine Learning (OML) and other relevant tools.
- Stay abreast of the latest advancements in Oracle Analytics and AI technologies and industry best practices. Have and maintain relationships with Oracle Analytics & AI Product Management
- Contribute to the development of internal knowledge assets and methodologies.
- Developing talent through mentoring and coaching
- Managing diverse teams within an inclusive team culture where people are recognised for their contribution
- Experience of supporting business development activities
- Demonstrable experience of architecting Oracle Analytics and / or Oracle AI transformation projects with value over £2.0m
- Experience of leading delivery of Oracle Analytics and / or Oracle AI Transformation projects with value greater than £2.0m
- Extensive knowledge of business reporting processes including operational reporting, management reporting, statutory reporting
- Extensive experience in on Oracle Analytics platform (FDI, OAC and ADW)
- Bachelor's or Master's degree (or equivalent) in a related field.
- Proven experience as an Oracle Analytics and AI Architect or a similar role.
- Deep understanding of Oracle Analytics Cloud (OAC) components, including Data Visualisation, Essbase, Data Preparation, and Data Flows.
- Strong experience in data warehousing concepts, dimensional modelling, and ETL processes.
- Proficiency in SQL, PL/SQL, and other data manipulation languages.
- Hands-on experience with Oracle Machine Learning (OML) or other machine learning libraries.
- Knowledge of cloud computing platforms, preferably Oracle Cloud Infrastructure (OCI).
- Excellent communication, presentation, and interpersonal skills.
- Strong analytical and problem-solving abilities.
- Oracle certifications in relevant technologies are highly desirable
- Qualified/Part-Qualified ACA/CIMA/ACCA (or equivalent)
- Experience in Oracle Cloud Infrastructure and Oracle Data Integration
- Security Clearance or at least eligible to support activities in Public Sector