VP of Engineering, Data as a Service Engineering
Maine - Remote Office, United States
Company Overview
WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk.
Position Summary
As the VP of Data as a Service (DaaS) Engineering, this leader will be responsible for the vision and strategy of the data systems/services, tools, data modeling, data processing pipelines, data quality/integrity, data usability, data serving and consumption. DaaS is built on top of our Big Data Platform as a Service (BDPaaS). This leader will also be responsible for providing data services and solutions for the data and analytics needs of Wex enterprise groups, which is on top of the DaaS layer. This leader will drive the technology development and architecture in the DaaS and Enterprise Data service areas to ensure the platforms, systems, tools, data models, datasets, and services generated from this team are technically sound with strong security, quality, reliability, usability, scalability, performance, efficiency, and operability to serve the fast growing needs of Wex and customers. It’s important to balance the near term and long term needs. To do these, you will be closely partnering with other leaders and teams in the Tech org, Digital org, and other orgs in the company including Data & Analytics, Risk & Compliance, the Line of Business (LOB), Security, central architecture & PaaS team, Global Tech Services, Finance, Marketing, and customer service orgs to understand their business and needs on the big data and related data technologies, and guide team’s design, development, and productionalization accordingly.
It’s very important for this leader to gain a strong understanding of Wex Business, Data from all Wex products and services, and the business logic behind. The leader should lead and drive the DaaS team to gain deep understanding in these too.
This is a fantastic opportunity for a highly motivated and passionate technical leader to apply their deep expertise and rich experience in the Big data, Data Platform, AI, software development, and related areas to develop technology, systems, and services, and empower the applications of them to multiple lines of business with a big customer …
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Bay Area Remote Office
Benefits/PerksContinuous improvement Continuous learning Disability Insurance Flexible Spending Flexible Spending Accounts Health savings account Life Insurance Paid Time Off Quarterly or annual bonus Retirement savings Retirement savings plan Total compensation package Tuition reimbursement
Tasks- Automation
- Build relationships
- Collaborate with cross functional teams
- Continuous Improvement
- Drive technology development
- Ensure data quality and integrity
- Leadership
- Stakeholder management
- User Experience
Agile AI Analytical Analytics Architecture Architecture design Automation AWS Azure Big Data Business models C Cloud Cloud Architecture Collaboration Compliance Continuous Improvement Continuous Learning Customer service Data & Analytics Data Architecture Data Governance Data ingestion Data Lake Data Modeling Data processing Data Quality Data Security Data Usability Data Warehouse Design Efficiency Flexible spending accounts Implementation Innovation Integration Kafka Kubernetes Leadership Management Marketing Mentorship Metrics Monitoring Observability Office Operability Organizational Payments Performance Product Management Reliability S3 Sales Scalability Security Software Development Stakeholder management Technology Training User Experience
EducationBusiness Computer Science Engineering Finance Marketing Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9