We are looking for an experienced Head of Data Lake & Analytics Delivery to lead the execution of enterprise-scale data initiatives. The role will focus on the end-to-end delivery of data lake platforms, data pipelines, and analytics solutions, ensuring business teams have timely, reliable, and actionable insights. This is a hands-on role requiring strong delivery management, technical depth, and stakeholder engagement skills.
Roles & Responsibilities
1. Delivery Management
Own the planning, execution, and delivery of data lake and analytics projects across business units.
Drive the build and maintenance of robust data ingestion, transformation, and consumption pipelines.
Monitor delivery timelines, risks, and budgets to ensure successful project outcomes.
Apply Agile/DevOps practices for faster and more reliable releases.
2. Data Lake & Platform Execution
Manage integration of structured and unstructured data into the enterprise data lake.
Ensure scalability, performance, and cost optimization of cloud-based data platforms (AWS, Azure, GCP, or hybrid).
Oversee implementation of data warehousing and BI tools (Snowflake, Redshift, Synapse, BigQuery, etc.).
3. Analytics Enablement
Deliver reporting, dashboards, and self-service analytics capabilities for business users.
Partner with data scientists and analysts to operationalize advanced analytics and ML models.
Ensure solutions meet business KPIs and enable measurable outcomes.
4. Governance & Quality
Implement data quality checks, monitoring, and remediation processes.
Enforce governance policies including data privacy, compliance, and security.
Maintain metadata management and data cataloging practices.
5. Team & Vendor Management
Lead and mentor data engineering and analytics delivery teams.
Manage vendor and partner engagements to ensure delivery commitments are met.
Allocate resources effectively across multiple programs.
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Skills
Bachelor's/Master's degree in Computer Science, Data Engineering, or related field.
12+ years of IT experience, with at least 5+ years in data delivery leadership roles.
Proven track record in delivering enterprise-scale data lakes and analytics platforms.
Strong knowledge of ETL/ELT, streaming data (Kafka, Kinesis), and cloud-native data services.
Hands-on exposure to BI/visualization tools (Power BI, Tableau, Qlik, Looker).
Familiarity with data governance, compliance, and security best practices.
Strong project/program management skills, with experience in Agile delivery.
Excellent communication skills for engaging with business stakeholders and technical teams.
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Job Details
Job Location
Dubai, UAE
Company Industry
Construction/Civil Engineering
Company Type
Employer (Private Sector)
Job Role
Information Technology
Employment Type
Full Time Employee
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Preferred Candidate
Career Level
Director/Head
Years of Experience
Min: 12 Max: 15
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