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Form of workOVERVIEW
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
We are seeking a highly skilled and experienced Enterprise Data Architect Lead to join our Architecture team, focusing on our International Operations business. As the Enterprise Data Architect Lead, you will be responsible for developing and implementing an enterprise-wide Data Architecture strategy for our International Operations and ensuring the integrity, security, and availability of our organization's data assets. You will collaborate closely with cross-functional teams and stakeholders to drive data governance initiatives, define data standards, and provide technical leadership in data-related projects.
We want a visionary leader to accelerate our transformation journey! If this excites you then we want, you!
What makes you an ideal candidate?
- Develop and execute an International OperationsData Architecture strategy that aligns with the enterprise-wide overall business goals and objectives.
- Collaborate with business stakeholders, IT teams, and data scientists to understand data requirements and translate them into scalable and sustainable Data Architecture solutions.
- Design and maintain the Enterprise Data model, data dictionaries, and data flow diagrams, ensuring consistency, accuracy, and reusability.
- Define data governance policies, standards, and procedures to ensure data integrity, security, and compliance with regulatory requirements.
- Lead the evaluation, selection, and implementation of data management tools, technologies, and frameworks to support data integration, storage, retrieval, and analysis.
- Provide technical leadership and guidance to a team of data architects, data engineers, and other data professionals, fostering a collaborative and high-performing culture.
- Collaborate with software architects and development teams to ensure Data Architecture principles are applied in the design and development of applications and systems.
- Identify opportunities for data consolidation, rationalization, and standardization to improve data quality, efficiency, and accessibility across the enterprise.
- Conduct regular audits and assessments of the Data Architecture to identify areas for improvement, address performance bottlenecks, and optimize data-related processes.
- Stay up-to-date with industry trends, emerging technologies, and best practices in Data Architecture, and recommend innovative solutions to enhance the organization's data capabilities.
EXPERIENCE
- Strong knowledge of Data Architecture principles, methodologies, and best practices, including data modeling, data integration, data warehousing, and data governance.
- Proficiency in data management technologies and tools such as relational databases, data lakes, ETL/ELT tools, data modeling tools, and metadata management tools.
- Experience with cloud-based data platforms (e.g., AWS, Azure (preferred) , GCP) and familiarity with modern Data Architecture patterns and technologies (e.g., data streaming, big data, NoSQL).
- In-depth understanding of regulatory requirements related to data privacy, data protection, and data governance in the financial services industry.
- Strong leadership skills with the ability to lead and mentor a team of data professionals and collaborate effectively with cross-functional teams.
- Excellent analytical, problem-solving, and communication skills with the ability to present complex technical concepts to non-technical stakeholders.
- Proven experience in driving data governance initiatives, establishing data standards, and ensuring compliance with industry best practices.
- A strong understanding and experience in Master data management concepts and tooling.
- A solid understanding in data quality topics
QUALIFICATIONS
- Bachelor’s Degree in Computer Science, Computer, Engineering, Electrical Engineering or equivalent work experience required. Master’s Degree preferred.
- 14+ years architecting solutions in multi-cloud/hybrid-cloud environments required.
- 8+ years of corporate management experience with increasing architectural responsibility in large enterprises required.
5+ years architecting data solutions for customers required.
5+ years working in a highly regulated business domain such as financial services or health care preferred.
What 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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