Manager

Manager role in Deloitte's AI & Engineering practice focused on transforming enterprise data platforms for analytics and AI readiness. Responsibilities include leading Oracle-powered data services, managing AI readiness efforts, overseeing modernization, directing master data management, and leading teams in designing data pipelines and architectures.

What you'd actually do

  1. Leading Oracle data management engagements from assessment through deployment, including data strategy, migration, integration, and ongoing optimization
  2. Managing AI and analytics readiness efforts, including data quality reviews, governance assessments, and delivery of AI-ready and analytics-ready data products across business domains
  3. Overseeing modernization initiatives across cloud and hybrid environments to improve scalability, automation, and long-term platform performance
  4. Directing Oracle master data management initiatives to support governed, accurate, and unified customer, supplier, and product data
  5. Leading teams in the design and delivery of data pipelines, lakehouse and data mesh architectures, and enterprise data solutions that support analytics, AI, and integration needs.

Skills

Required

  • 6+ years of technology consulting experience
  • 2+ years leading cloud-based data and analytics technology engagements with resources across multiple locations
  • 4+ years of data engineering experience
  • extract, transform, load (ETL)
  • extract, load, transform (ELT)
  • open lakehouse architecture
  • integration of structured and unstructured data sources
  • machine learning operations (MLOps)
  • Git/continuous integration and continuous delivery (CI/CD)
  • 2+ years of experience across the data product lifecycle
  • blueprinting
  • design
  • deployment
  • automation
  • catalog/discoverability
  • multi-platform and hybrid cloud integrations
  • 2+ years of experience implementing and optimizing data pipeline automation
  • metadata management
  • semantic layers
  • domain-driven data product strategies
  • Bachelor’s degree
  • Ability to travel 50%

Nice to have

  • 4+ years of experience with Oracle data management platforms
  • Oracle Master Data Management (MDM)
  • Oracle Cloud
  • Oracle AI Data Platform
  • Product Data Hub
  • Customer Data Management
  • data quality profiling
  • governance frameworks
  • automated lineage tracking
  • business glossary integrations
  • cloud-native analytics solutions
  • artificial intelligence (AI) and generative AI data readiness
  • data scoping
  • bias detection
  • data labeling
  • regulated or ethical AI considerations
  • implementing modular, reusable analytics and AI-enabled data products
  • advanced data architectures
  • multimodal data management
  • model design
  • data mesh
  • data fabric
  • data products
  • supporting sales pursuits through proposal content development
  • workshop collateral creation
  • presentations to client audiences

What the JD emphasized

  • AI readiness
  • data products
  • data pipelines
  • lakehouse
  • data mesh
  • MLOps
  • Git/continuous integration and continuous delivery (CI/CD)
  • data pipeline automation
  • domain-driven data product strategies
  • artificial intelligence (AI) and generative AI data readiness
  • AI-enabled data products
  • multimodal data management