Description:
Location: Marysville, OH or Torrance, CA
Workstyle: Hybrid
Grade: EX4
What Makes a Honda, is Who Makes a Honda
Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals.
At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.
If your goals and values align with Honda’s, we want you to join our team to Bring the Future!
About this Position:
The role of a Data Architect Team Manager is to lead and manage a team of data architects in designing, developing, and maintaining the organization's data infrastructure and systems.
Here are some key responsibilities for the Data Architect Team Manager:
1. Team Leadership: Manage and provide leadership to a team of data architects, ensuring effective collaboration and coordination among team members. Set clear goals, provide guidance and mentorship, and evaluate individual and team performance.
2. Data Architecture: Develop and maintain a robust Data Architecture strategy and roadmap that aligns with the organization's overall business objectives. This includes designing data models, defining data standards, and ensuring data integrity, security, and quality.
3. Data Governance: Establish and enforce data governance policies, procedures, and best practices to ensure proper data management throughout the organization. Collaborate with stakeholders to define data standards, data classification, data retention, and data lifecycle management.
4. Data Integration: Oversee the design and implementation of data integration processes, ensuring seamless data flow and interoperability between systems. Work closely with application developers and infrastructure teams to ensure effective data integration and transformation.
5. Data Security and Privacy: Ensure the implementation of data security and privacy measures, in compliance with relevant regulations (such as GDPR, HIPAA, etc.), to protect sensitive data from unauthorized access or breaches.
6. Data Analytics and Reporting: Collaborate with business analysts and data scientists to define data requirements for analytics and reporting purposes. Oversee the development and maintenance of data analytics platforms, data warehouses, and reporting solutions.
7. Stakeholder Engagement: Engage with business stakeholders, including executives, managers, and end-users, to understand their data needs and provide strategic recommendations. Collaborate with cross-functional teams to define and execute data-driven initiatives.
8. Vendor Management: Evaluate and select third-party vendors or solutions for data-related products or services. Manage vendor relationships, contracts, and service level agreements (SLAs) to ensure successful delivery.
9. Continuous Improvement: Stay updated with emerging data management trends, technologies, and best practices. Identify opportunities for process improvement, automation, and optimization within the Data Architecture Team.
10. Collaboration and Communication: Foster a culture of collaboration, knowledge sharing, and effective communication within the team and across departments. Facilitate regular team meetings, workshops, and training sessions to enhance technical skills and foster innovation.
Responsibilities include:
- Work together with Unit and Dept leadership to develop and deliver long-term strategic goals for business intelligence and Data Architecture roadmaps; sense, study, test, and implement new technologies and manage overall knowledge in data sciences and business intelligence spaces.
- Build, lead, and manage a high-performance team of business intelligence and data sciences to meet organizational data strategy and deliver projects with quality and customer service focus. Foster associate development by coaching, training, and mentoring.
- Establish and lead enterprise analytics governance methods, stewardship, and procedures for tracking quality, completeness, redundancy, and improvement. Develop and promote a cloud analytics strategy.
- Build NA & global relationships and networks to achieve trust and credibility by discovering and meeting the needs of internal and external customers and vendors. Use persuasion and influence to achieve maximum results with Enterprise IT goals.
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