VP Cloud Data Analytics Architecture

Why GM Financial Technology?

GM Financial is set to change the auto finance industry and is leading the path with embarking on tech modernization – we have a startup mindset, preserve our small company culture, in a public company environment with financial stability and intense growth over a decade long history. We are data junkies and trust in data and insights to advance our business objectives.

We take our goal of zero emission, zero collision, zero congestion and zero friction very seriously. We believe as the auto finance market leader we are in the driver seat to lead us in the GM EV mission to change the world. We are building global platforms, LATAM, Europe, China – our high performing talent needs a high performing leader. GMF is comprised of over 10,000 team members globally. Join our fin-tech culture within a Blue-Chip company where we are changing the way we use technology to support our customer and business.

About The Role:

This VP Cloud Data Analytics Architecture is responsible for the leadership and direction of the Enterprise Cloud Data Analytics Architecture, tools and platforms teams.  This team will 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.  This leader will scale the Data and Analytics organization globally.  The VP will build, grow and manage an Agile team of AI, Machine Learning and Analytics Architects and Full Stack Data Engineers. The VP will have significant hands-on as well as leadership experience in data architecture to support Advanced Analytics in Azure, Databricks, APIs, microservices, and event driven architecture.  The VP will be responsible for delivering high quality data and analytics solutions, data devops, data dev secops, data integrations, and API development. The VP will ensure the cloud, data, Machine Learning and AI platform is scalable and secure to meet  future growth and requirements of business domains. The VP will interact with all levels of leadership to effectively plan/execute work and collaborate with broader cross-functional teams to successfully deliver mission-critical projects. The VP will build partnerships with other leaders, team members, and vendors to scale the global data and analytics capabilities across the enterprise.  The VP will promote team diversity, equity and inclusion to support and enhance the Company's culture.

In this role you will:

• Understand, commit to and communicate the Company's vision, goals and strategies
• Build the data and analytics platform to support Company's vision, goals and strategies
• Lead cloud architecture solutions and design for data, machine learning, artificial intelligence and analytics using Azure and Databricks
• Analyze highly complex issues, apply financial analysis and sound judgment and logic to make strategic decisions that balance long and short-term business goals and objectives
• Translate broad strategies into specific actions plans, utilizing existing resources and information to achieve strategic objectives and improve business results
• Collaborate with Leaders to define cloud architecture, business, Digital Transformation and Data & Analytics priorities and goals
• Oversee the department's performance to ensure accountability for achieving business results
• Oversee the data flow from source to target systems
• Oversee the technology landscape of transactional systems, data management and master data layer, to analytics and consuming applications
• Lead and own the relationship with software vendor(s) and service providers supporting data architecture and integration initiatives
• Assess the needs of product/architecture releases with respect to business objectives, security, data dependency, compliance, and timeliness of releases
• Establish consistent metrics to measure quality of data and implemented solutions
• Collaborate with business and technical teams and partners to develop end-to-end Enterprise solutions for data, analytics, machine learning, artificial intelligence in the cloud
• Clearly communicate priorities and monitor the successful and timely completion of department initiatives
• Coach, mentor, and train team members to establish a consistent level of quality, accuracy, accountability and compliance with department standards
• Assist Senior Vice President in determining the annual business plan and setting the budgetary requirements for the department and manage each plan to ensure compliance and completion
• Champion an environment that promotes trust, continuous improvement, innovation, quality outcomes and self-development
• Perform other duties as assigned
• Conform with all company policies and procedures