Data Lake & Analytics Delivery Head

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.