Oracle Architect – Analytics & AI

Oracle Architect – Analytics & AI

• Location: St. Louis, MO (Hybrid
• Duration: 12+ Month Contract
• Pay: $100-$130/hr

W2 ONLY, NO C2C

• Position Overview
• We are seeking a highly skilled Oracle Architect – Analytics & AI to lead the design, development, and implementation of advanced data, analytics, and artificial intelligence solutions within the Oracle Cloud ecosystem.

This role will focus on leveraging Oracle’s cloud analytics and AI technologies to enable data-driven decision-making, predictive analytics, and AI-powered business insights. The ideal candidate will possess deep expertise across Oracle Cloud Infrastructure (OCI), Oracle Analytics Cloud, Oracle Machine Learning, and enterprise data architecture, along with a strong ability to translate business requirements into scalable technical solutions.

This position will play a key role in helping the organization transform enterprise data into a strategic asset while supporting innovative analytics and AI initiatives across the utilities domain.

• Key Responsibilities
• Oracle Analytics & AI Architecture
• Architect and design scalable analytics, reporting, and AI solutions utilizing Oracle Cloud technologies.
• Lead the implementation of enterprise data platforms, including data lakes, data warehouses, and analytics environments within Oracle Cloud Infrastructure (OCI).
• Design and deploy machine learning solutions using Oracle Machine Learning and related Oracle AI services.
• Develop AI-enabled use cases that drive business value and operational efficiencies.
• Integrate AI capabilities into enterprise workflows and business processes.

• Data Platform & Integration
• Design and implement robust data pipelines supporting analytics, reporting, and machine learning workloads.
• Integrate enterprise applications and data sources using Oracle Integration Cloud and API-based architectures.
• Ensure data quality, governance, security, and scalability across analytics platforms.
• Support modern ETL/ELT architectures and enterprise data integration strategies.

• Architecture Leadership & Governance
• Establish architectural standards, best practices, and governance frameworks for Oracle analytics and AI solutions.
• Provide technical leadership and guidance to development, engineering, and analytics teams.
• Collaborate with business stakeholders to define analytics strategies, KPIs, reporting frameworks, and data requirements.
• Evaluate and recommend emerging Oracle technologies and capabilities that align with business objectives.
• Optimize solution performance, scalability, reliability, and cost efficiency within OCI environments.

• Team Collaboration & Mentorship
• Mentor technical teams and provide architectural oversight for analytics and AI initiatives.
• Partner with business leaders, data engineers, developers, and project teams to deliver successful outcomes.
• Drive innovation and continuous improvement across analytics and AI platforms.

• Utilities Domain Focus
• Design and support analytics solutions that address key utility industry use cases, including:
• Smart Grid Analytics
• Load Forecasting & Demand Prediction
• Asset Performance Management
• Predictive Maintenance
• Customer Analytics
• Billing & Revenue Insights
• Regulatory Reporting & Compliance

Support enterprise initiatives focused on operational efficiency, customer experience, reliability, and regulatory requirements.

• Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
• 8+ years of experience in data architecture, analytics, business intelligence, AI/ML, or related disciplines.
• Strong hands-on experience with:
• Oracle Cloud Infrastructure (OCI)
• Oracle Analytics Cloud (OAC)
• Oracle Machine Learning (OML)
• Proven experience designing and implementing enterprise-scale data platforms and analytics architectures.
• Strong proficiency in SQL, Python, and modern data modeling techniques.
• Experience with data integration, ETL/ELT frameworks, and API-driven architectures.
• Experience building scalable analytics, reporting, and AI solutions in cloud environments.
• Strong communication and stakeholder management skills.

• Preferred Qualifications
• Experience implementing AI and machine learning solutions within Oracle Cloud environments.
• Experience designing enterprise data lakes and cloud-based data warehouse solutions.
• Knowledge of Oracle AI Data Platform and Oracle AI services.
• Experience supporting analytics initiatives within the utilities industry.
• Familiarity with data governance, regulatory reporting, and compliance requirements.
• Experience mentoring technical teams and leading architecture initiatives.

• Technical Skills
• Oracle Technologies
• Oracle Cloud Infrastructure (OCI)
• Oracle Analytics Cloud (OAC)
• Oracle Machine Learning (OML)
• Oracle Integration Cloud (OIC)
• Oracle AI Services

• Data & Analytics
• Data Architecture
• Data Lakes
• Data Warehousing
• ETL / ELT
• Data Modeling
• Predictive Analytics
• Machine Learning

• Development & Integration
• SQL
• Python
• REST APIs
• Data Integration Frameworks

• Architecture & Leadership
• Enterprise Solution Architecture
• Cloud Architecture
• Technical Leadership
• Governance & Best Practices
• Performance Optimization

• Ideal Candidate
• The ideal candidate is a seasoned Oracle Architect with deep expertise in analytics, data platforms, and AI technologies. They possess a strong architectural mindset, excellent communication skills, and a passion for delivering innovative data-driven solutions that create measurable business value.