Data Analytics Lead

About the Role

We are seeking a Data Analytics Lead to spearhead comprehensive delivery across various functions such as Data Engineering & Platform, Business Intelligence (BI) & Visualization, Data Science, Data Analytics, and Customer Insights. The role demands overseeing foundational setups including environment configuration, disaster recovery, continuous integration and deployment (CI/CD), and platform observability tools like SnowMonitor.

Core Responsibilities

• Lead end-to-end execution in Data Engineering, BI, Data Science, Analytics, and Customer Insights.
• Establish foundational processes and environments ensuring disaster recovery, CI/CD pipelines, and monitoring capabilities are operational.
• Implement frameworks for performance testing that span data pipelines and reporting mechanisms.
• Govern the Data Science lifecycle encompassing production model maintenance, machine learning operations (MLOps), and orchestration pipelines.
• Build, lead, and manage both onshore and offshore teams, facilitating smooth knowledge transfer from shadowing to steady state.
• Collaborate closely with Customer Insights teams and external partners to merge insights into Snowflake analytics platforms.
• Maintain documentation such as Standard Operating Procedures (SOPs), runbooks, Known Error Databases (KEDB), architectural and design documents, along with knowledge repositories.
• Implement and enforce IT Service Management (ITSM) processes including Change Advisory Board (CAB) governance and change management standards.
• Conduct governance cadences at weekly, monthly, and quarterly intervals to monitor SLA/KPI performance, manage risks, and drive process improvements.
• Manage cross-project dependencies, including onboarding, access management, and mitigating delivery risks.
• Lead continuous improvement initiatives focusing on self-service enablement, report consolidation, as well as cost and performance optimizations.

Required Skills and Expertise

• Demonstrated leadership in Data Engineering, BI/Visualization, Data Science, Data Analytics, Customer Insights, Data Governance, and Automation domains.
• Hands-on proficiency with Snowflake data platform, dbt, Apache Airflow, Azure Blob Storage, Fivetran, Bitbucket, and Python programming.
• In-depth knowledge of Power BI governance and CI/CD pipelines with experience supporting legacy MicroStrategy systems.
• Expertise in metadata management, ensuring data quality, and Master Data Management (MDM) governance.
• Familiarity with ITSM frameworks, SLA and KPI tracking, and diverse service delivery models.
• Strong skills in stakeholder engagement and vendor management.