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:

o Proven experience managing large-scale cloud data platform implementations, preferably on Oracle Cloud

o Strong understanding of enterprise data architecture, cloud integration patterns, and banking systems.

o Excellent stakeholder management and communication skills.

o 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