Data Manger

Minimum Qualification

• Bachelor’s degree in computer science, Computer Engineering, IT, or related fields
• 10+ years of overall experience with at least 5 years of leading teams delivering data lakes, data warehouses, data lakehouse
  
  

Minimum Experience

• Data Engineering skills:
• Proven experience managing large-scale cloud data platform implementations, preferably on Oracle Cloud
• Strong understanding of enterprise data architecture, cloud integration patterns, and banking systems.
• Excellent stakeholder management and communication skills.
• Experience with hybrid cloud environments (Oracle Cloud, Azure, on-premises).
• Communication skills to be able to explain the technical scenarios to senior IT and business stakeholders.
• Experience in agile way of working.
  
  

Accountability

As a Data Lake Engineering AVP, you will be required to:

Program Leadership & Planning

• Own and drive the full lifecycle of the Oracle Cloud Data Platform implementation.
• Define and finalize the platform architecture in collaboration with Oracle Professional Services and internal stakeholders.
• Develop detailed project plans, milestones, and delivery timelines; track progress to closure.
  
  

Stakeholder Engagement

• Act as the primary liaison between Oracle Professional Services and internal teams.
• Coordinate closely with the enterprise core banking implementation team to ensure seamless data integration from banking systems into the Oracle Data Platform.
• Facilitate cross-functional alignment across data engineering, infrastructure, and business units.
  
  

Data Integration & Flow Management

• Oversee the ingestion of data from Oracle-based core banking services into the Oracle Cloud Data Platform.
• Ensure robust data pipelines are established to deliver data from the Oracle Cloud platform to downstream systems hosted on-premises and in Azure Cloud.
  
  

Governance & Quality Assurance

• Monitor implementation quality, adherence to architectural standards, and compliance with enterprise data governance policies.
• Identify risks and mitigation strategies throughout the rollout process