Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Solution Architect, Oracle Analytics

Oracle
Liverpool
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Consultant, Data Science & AI, Data & Analytics, Belfast, Derry/Londonderry

Solution Consultant - IT & Data Science

Executive Director / Principal Machine Learning Engineer

Senior Data Scientist, Generative AI Innovation Center, AWS Generative AI Innovation Center

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

Senior Data Scientist

Customer Excellence Advisory Lead (CEAL) is seeking to hire a Senior Solution Architect with extensive hands-on experience in implementing Oracle Analytics Solutions, specifically Fusion Data Intelligence. The ideal candidate will possess a deep understanding of customer business needs and expectations regarding Analytical solutions. This knowledge will be pivotal in securing strategic deals that not only utilize FDI but also incorporate Artificial Intelligence and Machine Learning. Additionally, this role involves collaborating closely with key partners, aiding in their skill development.


Customer Excellence Advisory Lead (CEAL)aims to enable customers to fully leverage their data by offering top-tier architectural guidance and design. As part of the Oracle Analytics Service Excellence organization, our team includes Solution Architects who specialize in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. Our main goal is to ensure the successful adoption of Oracle Analytics.

We engage with customers and partners globally, building trust in Oracle Analytics. We also collaborate with Product Management to enhance product offerings and share our insights through blogs, webinars, and demonstrations.

The candidate will collaborate with strategic FDI customers and partners, guiding them towards an optimized implementation and crafting a Go-live plan focused on achieving high usage.

Career Level - IC3



Responsibilities:

  • Proactively recognize customer requirements, uncover unaddressed needs, and develop potential solutions across various customer groups.
  • Assist in shaping intricate product and program strategies based on customer interactions, and effectively implement solutions and projects for customers that are scalable to complex, multiple enterprise environments.
  • Collaborate with customers and/or internal stakeholders to communicate the strategy, synchronize the timeline for solution implementation, provide updates, and adjust plans according to evolving objectives, effectively and promptly.
  • Prepare for complex product or solution-related inquiries or challenges that customers may present.
  • Gather and convey detailed product insights driven by customer needs and requirements.
  • Promote understanding of customer complexities and the value propositions of various programs (e.g., speaking at different events, team meetings, product reviews) to key internal stakeholders


Primary Skills:

  • Must possess over 5 years of experience with OBIA and Oracle Analytics.
  • Must have a robust knowledge of Analytics RPD design, development, and deployment.
  • Should possess a strong understanding of BI/data warehouse analysis, design, development, and testing.
  • Extensive experience in data analysis, data profiling, data quality, data modeling, and data integration.
  • Proficient in crafting complex queries and stored procedures using Oracle SQL and Oracle PL/SQL.
  • Skilled in developing visualizations and user-friendly workbooks.
  • Previous experience in developing solutions that incorporate AI and ML using Analytics.
  • Experienced in enhancing report performance


Desirable Skills:

  • Experience with Fusion Applications (ERP/HCM/SCM/CX)
  • Ability to design and develop ETL Interfaces, Packages, Load plans, user functions, variables, and sequences in ODI to support both batch and real-time data integrations.
  • Worked with multiple Cloud Platforms.
  • Certified on FDI, OAC and ADW.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.