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.