Data Lake & Analytics Delivery Head

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.

- 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.