Project Management

ResponsibilitiesLead planning execution and delivery of enterprise data and MI automation projects using Databricks and Confluent.Develop detailed requirements project plans delivery roadmaps and work breakdown structures.Ensure resource allocation budgeting and adherence to timelines and quality standards.Manage vendors deliverables and quality of output.Manage issues conflicts and prepare mitigation.Collaborate with data engineers architects business analysts and platform teams to align on project goals.Act as the primary liaison between business units technology teams and vendors.Facilitate regular updates steering committee meetings and issue/risk escalations.Oversee solution delivery on Databricks (for data processing ML pipelines analytics).Manage real-time data streaming pipelines via Confluent Kafka.Ensure alignment with data governance security and regulatory frameworks (e.g. GDPR CBUAE BCBS 239).Ensure all regulatory reporting data flows are compliant with local and international financial standards.Manage controls and audit requirements in collaboration with Compliance and Risk teams.Qualifications7 years of experience in Project Management within the banking or financial services sector.Experience leading data and MI automation projects (especially Databricks and Confluent Kafka).Strong understanding of data architecture data pipelines and streaming technologies.Experience managing cross-functional teams (onshore/offshore).Strong command of Agile/Scrum and Waterfall methodologies.PMP / Prince2 / Scrum Master certificationFamiliarity with regulatory frameworks: BCBS 239 GDPR CBUAE regulationsStrong understanding of data governance principles (e.g. DAMA-DMBOK)Bachelors or Masters in Computer Science Information Systems Engineering or related field.On-time on-budget delivery of data initiativesUptime and SLAs of data pipelinesUser satisfaction and stakeholder feedbackCompliance with regulatory milestones#J-18808-Ljbffr