GM Financial
AVP Cloud Data Analytics Architecture - Fleet
GM Financial, Arlington, Texas, United States, 76000
Overview
Why GM Financial Technology?GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization – we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus 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 an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world.We are building global platforms, in LATAM, Europe, China, U.S. and Canada – and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers, and business.
Responsibilities
About the Role:The
AVP Cloud Data Analytics Architecture - Fleet
will lead internal Data Engineers and external consultants in collaborating with stakeholders across functional boundaries to apply agile methods for the design, development and deployment of cloud-based data solutions.In this role, you will:Lead data engineering and cloud data architecture development to deliver business solutionsDeliver data engineering solutions using agile methods and standards set by the organizationTranslate business requirements and technical strategies into data architectures and processesCollaborate across technical and business functions to ensure alignment on business requirements, desired solutions, development methods, technical standards, and other considerations that relate to solution delivery cost, time, quality, and riskArchitect the flow of data from transactional system to various stages of curation to enable analytics and deliver data solutions that support the delivery of business objectivesManage vendor development work to desired objectives and standardsCollaborate in the establishment of data engineering standards and objectives that meet technical and business needsEstablish and utilize data engineering performance metrics for data quality, timeliness, security, compliance, and other related mattersCoach, mentor, and train cloud data architecture team members to establish a consistent level of quality, accuracy, accountability and compliance with department standards and objectivesAssist leadership in determining the annual business plan and setting the budgetary requirements for the department and manage each plan to ensure compliance and completionChampion an environment that promotes GMF values and supports strategic objectivesDevelop relationships with key customer business and technical decision makers: drive long-term cloud data adoption within the company; enable cloud data advocacyPerform other duties as assignedReporting Relationship:VP Digital Fleet Solutions
Qualifications
What makes you a dream candidate?Advanced knowledge of data engineering, cloud data architecture, data security, full-stack (dev ops, data dev ops, and dev secops) and related policies, standards, and best practicesWorking knowledge delivering large data engineering projects using Agile methodsWorking knowledge of APIs and web services (integrate systems, platforms and data sources)Ability to effectively translate above knowledge into practical and large-scale data engineering designs, architectures, strategies, policies, and processes and to implement them in a way that delivers on business objectivesAbility to quickly research, learn and apply the latest advances in cloud architectures, data engineering, and related technologiesAbility to collaborate and influence decisions with internal business/technical stakeholders and external vendors on complex enterprise cloud data and platform strategiesAbility to effectively lead, motivate, challenge, organize and grow a team of distributed data architects and full stack engineersAbility to promote agile methods and to develop partnerships with leaders, peers, Release Train Engineers, Product Owners, Scrum Masters, architects, and other agile rolesAbility to develop and implement data engineering architectures, serverless, data orchestration, API management, and related solutions through a deep understanding of Azure services – Azure Data Factory, Service Bus, ADLS2, Delta Lake, Cosmos DB, SynapseSoftware development practices like, DevOps and CI/CD tool chains, Azure DevOps, GitHubProgramming in one or more of the following programming languages; Python, Scala, SAS, R, Ruby, Java and CExperience:Bachelor’s Degree in Computer Science or related field or equivalent experience requiredMaster’s Degree preferredWhat We Offer:
Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.Our Culture : Our team members define and shape our culture. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.Compensation:
Competitive salary and bonus eligibility; this role is eligible for company vehicle program.Work Life Balance:
Flexible hybrid work environment, 3-days a week in office.
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Why GM Financial Technology?GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization – we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus 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 an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world.We are building global platforms, in LATAM, Europe, China, U.S. and Canada – and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers, and business.
Responsibilities
About the Role:The
AVP Cloud Data Analytics Architecture - Fleet
will lead internal Data Engineers and external consultants in collaborating with stakeholders across functional boundaries to apply agile methods for the design, development and deployment of cloud-based data solutions.In this role, you will:Lead data engineering and cloud data architecture development to deliver business solutionsDeliver data engineering solutions using agile methods and standards set by the organizationTranslate business requirements and technical strategies into data architectures and processesCollaborate across technical and business functions to ensure alignment on business requirements, desired solutions, development methods, technical standards, and other considerations that relate to solution delivery cost, time, quality, and riskArchitect the flow of data from transactional system to various stages of curation to enable analytics and deliver data solutions that support the delivery of business objectivesManage vendor development work to desired objectives and standardsCollaborate in the establishment of data engineering standards and objectives that meet technical and business needsEstablish and utilize data engineering performance metrics for data quality, timeliness, security, compliance, and other related mattersCoach, mentor, and train cloud data architecture team members to establish a consistent level of quality, accuracy, accountability and compliance with department standards and objectivesAssist leadership in determining the annual business plan and setting the budgetary requirements for the department and manage each plan to ensure compliance and completionChampion an environment that promotes GMF values and supports strategic objectivesDevelop relationships with key customer business and technical decision makers: drive long-term cloud data adoption within the company; enable cloud data advocacyPerform other duties as assignedReporting Relationship:VP Digital Fleet Solutions
Qualifications
What makes you a dream candidate?Advanced knowledge of data engineering, cloud data architecture, data security, full-stack (dev ops, data dev ops, and dev secops) and related policies, standards, and best practicesWorking knowledge delivering large data engineering projects using Agile methodsWorking knowledge of APIs and web services (integrate systems, platforms and data sources)Ability to effectively translate above knowledge into practical and large-scale data engineering designs, architectures, strategies, policies, and processes and to implement them in a way that delivers on business objectivesAbility to quickly research, learn and apply the latest advances in cloud architectures, data engineering, and related technologiesAbility to collaborate and influence decisions with internal business/technical stakeholders and external vendors on complex enterprise cloud data and platform strategiesAbility to effectively lead, motivate, challenge, organize and grow a team of distributed data architects and full stack engineersAbility to promote agile methods and to develop partnerships with leaders, peers, Release Train Engineers, Product Owners, Scrum Masters, architects, and other agile rolesAbility to develop and implement data engineering architectures, serverless, data orchestration, API management, and related solutions through a deep understanding of Azure services – Azure Data Factory, Service Bus, ADLS2, Delta Lake, Cosmos DB, SynapseSoftware development practices like, DevOps and CI/CD tool chains, Azure DevOps, GitHubProgramming in one or more of the following programming languages; Python, Scala, SAS, R, Ruby, Java and CExperience:Bachelor’s Degree in Computer Science or related field or equivalent experience requiredMaster’s Degree preferredWhat We Offer:
Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.Our Culture : Our team members define and shape our culture. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.Compensation:
Competitive salary and bonus eligibility; this role is eligible for company vehicle program.Work Life Balance:
Flexible hybrid work environment, 3-days a week in office.
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