Vice President, Data Engineering

Tasks

• Define and execute data analytics and AI strategy
• Develop data monetization strategies
• Develop data products and semantic models
• Drive cross-functional data integration
• Drive transition to predictive and prescriptive analytics
• Embed advanced analytics and AI into business operations
• Enable real time or near real time reporting
• Establish data governance and data quality
• Establish governed self service analytics environment
• Foster data driven culture and data literacy
• Implement master data management
• Lead and scale cross functional data teams
• Lead data stewardship and ownership models
• Lead enterprise data platform design and implementation
• Standardize enterprise KPIs and reporting
• Transform data into strategic asset
• Translate business strategy into data initiatives

Perks/Benefits

• N/A

Skills/Tech-stack

Data Architecture | Data Governance | Data Management | Data Products | Data Quality | Data monetization | Databricks | ISO 27001 | Machine Learning | Master Data | Master Data Management | Microsoft Azure | Microsoft Fabric | PCI DSS | Power BI | Predictive Analytics | Prescriptive Analytics | Real Time | Real-time analytics | SOC 2 | SQL | Semantic Modeling | Snowflake