Oracle Data Services - Manager

Oracle Data Services Solution Manager
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 4/16/26.
Work you'll do
Direct the delivery and ongoing evolution of Oracle-powered enterprise data services . Lead strategic projects across implementation, modernization, and operationalization of core data management, analytics, and AI readiness programs. Drive business value by leveraging Oracle's full data platform suite in complex enterprise environments.
Key Responsibilities

Lead Data Management Initiatives: Deliver end-to-end Oracle data management solutions, from assessment to production deployment, covering data strategy, migration, integration, and continuous improvement.
AI & Analytics Enablement: Oversee readiness assessments for AI programs, guide data quality and governance reviews, and deliver curated analytics/AI-ready data products across business domains.
Modernization & Migration: Manage large-scale migrations to modern data ecosystems (cloud/on-prem hybrid), streamline operations, and facilitate automation and future-proof architecture.
Master Data Management: Spearhead Oracle MDM engagements for unified customer, supplier, and product data; drive efforts for accurate, governed, and high-quality master data.
Data Engineering Leadership: Oversee design and delivery of intelligent, automated pipelines (e.g., ETL/ELT, data mesh, and lakehouse architectures) supporting analytics, AI, and integration of siloed or unstructured data.
Governance & Compliance: Establish and maintain strategic data governance frameworks, enforce data quality standards, foster compliance, and support data policies for responsible (ethical) AI and business transparency.
Team & Stakeholder Management: Build and mentor functional/technical project teams, actively engage with clients and business leaders, and promote adoption of data best practices across the organization.
The Team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications Required

6+ years relevant technology consulting experience, including enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
4+ years data engineering experience, including ETL/ELT, open lakehouse architecture, integration of structured/unstructured sources, MLOps, GIT/CICD
2+ years experience with the data products lifecycle: blueprinting, design, deployment, automation, catalog/discoverability, and integrations (multi-platform, hybrid cloud)
2+ years experience implementing and optimizing data pipeline automation, metadata management, semantic layers, and domain-driven data product strategies
2+ years consulting experience leading, managing, and delivering cloud-based data and analytics technology engagements end-to-end with resources in multiple locations
Bachelor's Degree
Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available
Preferred

4+ years experience with Oracle Data Management platforms (EX: Oracle MDM, Oracle Cloud, Oracle AI Data Platform, Product Data Hub, and Customer Data Management)
Experience with leading tools: data quality profiling, governance frameworks, automated lineage tracking, business glossary integrations, and cloud-native analytics solutions
Experience with AI/GenAI data readiness (data scoping, bias detection, data labeling, regulated/ethical AI)
Experience implementing modular, reusable analytics and AI-enabled data products
Familiarity with marketplace models for internal/external data sharing
Exposure to industry compliance requirements, data ethics, and frameworks for trustworthy AI solutions
Experience with advanced data architectures (ie: Multimodal data management & model design, Data Mesh, Data Fabric, Data Products, etc.)
Experience understanding and communicating client strategic business drivers and operational process requirements, then linking specific business requirements to AI & Data capabilities
Experience with the sales cycle by helping frame client opportunities and participation in pursuit teams including creating proposal content for client discussions
Experience creating critical collaterals for client workshops and customer interactive sessions
Experience presenting to both large and small audiences
An advanced degree in an area of specialization
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.