AVP Cloud Data Analytics Architecture

GM Financial•Fort Worth, TX

19h

About The Position

This AVP Cloud Data Analytics Architecture will lead the cloud data architecture team and help scale the Data and Analytics organization for various finance groups. As an experienced cloud data architect, this role work with the business to gather data and analytical requirements; design, develop and deploy Enterprise Cloud Data solutions; integrate data from disparate sources to load to the cloud, hybrid and multi-cloud; design, develop and monitor processes to transfer data between cloud systems and/or external vendors; collaborate with technical leaders to define api-first, web services, event based processes to maintain accuracy, lineage, metadata, integrity and efficiency of data across multiple levels of curation and consumption; provide data modeling standards, frameworks and templates to support the business; organize, catalog and define enterprise data to support AI, Machine Learning, Data Science and Reporting. The AVP will have hands-on experience in cloud data architecture to support Advanced Analytics in Azure, Databricks, APIs, microservices, and event driven architecture. The AVP will ensure the cloud, data, Machine Learning and AI platform is scalable and secure to meet future growth and requirements of business domains. This AVP will lead the strategy, development, and delivery of Finance data assets within the Finance Center of Excellence (COE), while managing a team of data engineers responsible for data engineering, analysis and reporting. The role is accountable for driving the data engineering roadmap, implementing process improvements, and delivering scalable SQL-based reporting and data solutions.

Requirements

Experienced cloud data architect.
Hands-on experience in cloud data architecture to support Advanced Analytics in Azure, Databricks, APIs, microservices, and event-driven architecture.
Experience managing a team of data engineers.

Responsibilities

Lead the cloud data architecture team and scale the Data and Analytics organization for various finance groups.
Work with the business to gather data and analytical requirements.
Design, develop, and deploy Enterprise Cloud Data solutions.
Integrate data from disparate sources to load to the cloud, hybrid, and multi-cloud environments.
Design, develop, and monitor processes to transfer data between cloud systems and/or external vendors.
Collaborate with technical leaders to define api-first, web services, and event-based processes to maintain accuracy, lineage, metadata, integrity, and efficiency of data across multiple levels of curation and consumption.
Provide data modeling standards, frameworks, and templates to support the business.
Organize, catalog, and define enterprise data to support AI, Machine Learning, Data Science, and Reporting.
Ensure the cloud, data, Machine Learning, and AI platform is scalable and secure.
Lead the strategy, development, and delivery of Finance data assets within the Finance Center of Excellence (COE).
Manage a team of data engineers responsible for data engineering, analysis, and reporting.
Drive the data engineering roadmap.
Implement process improvements.
Deliver scalable SQL-based reporting and data solutions.