Data PM
VirtusaJobsCloseBy Editorial Insights
Virtusa seeks a Data PM for a full time onsite role in Dubai to lead enterprise data and MI automation projects using Databricks and Confluent Kafka. You will own planning, delivery roadmaps, budgets, and cross functional alignment while overseeing vendor outputs. Essential: 7+ years in banking or financial services project management, hands on Databricks and Confluent Kafka, data pipelines and streaming, Agile/Scrum and Waterfall, and Azure or AWS (Azure preferred). Nice to have PMP/Prince2/Scrum Master and regulatory familiarity (BCBS 239 GDPR CBUAE). Apply by tailoring your resume to highlight Databricks, Confluent, governance and leadership; provide measurable outcomes, STAR stories, and relevant certifications; be ready to discuss risk and vendor governance.
Data PM - (CREQ243145)
Description
Key Responsibilities:
- Project Planning & amp, Execution
- Lead 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
Stakeholder & Team Management
- 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.
Technical Oversight.
- 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).
Required Skills & Experience:
✅ Must-Have:
- 7+ years of experience in Project Management within the banking or financial services
sector.
- Proven 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.
✅ Technical Exposure:
- Databricks (Delta Lake, MLflow, Spark)
- Confluent Kafka (Kafka Connect, kSQL, Schema Registry)
- Azure or AWS Cloud Platforms (preferably Azure)
- Integration tools (Informatica, Data Factory), CI/CD pipelines
- Oracle ERP Implementation experience
- PowerBI
✅ Preferred:
- PMP / Prince2 / Scrum Master certification
- Familiarity with regulatory frameworks: BCBS 239, GDPR, CBUAE regulations
- Strong understanding of data governance principles (e.g., DAMA-DMBOK) & Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related
field.
KPIs:
- On-time, on-budget delivery of data initiatives
- Uptime and SLAs of data pipelines
- User satisfaction and stakeholder feedback
- Compliance with regulatory milestones