Plano, TX, 75026, USA
18 hours ago
Senior Manager II, Data Engineering
**Overview** **Who we are** Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us. _To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time._ **Who we’re looking for** Toyota’s Data Analytics and Data Science team is looking for a passionate and highly motivated **Senior Manager II, Data Engineering** to lead one or more Data Engineering portfolios consisting of several data and data engineering products including Master Data Management (MDM) functions. The Senior Director will be responsible for overseeing the strategic direction, implementation, and management of our MDM efforts including but not limited to Customer, Vehicle, Manufacturing and Supply Chain domains. This role requires a strong background in data engineering, data management, data analytics, and managing data integration. The ideal candidate will have a proven track record of leading cross-functional teams and driving data engineering and quality improvements. The candidate requires a strong understanding of data integration, data governance and MDM to ensure that master data is effectively managed, maintained and leveraged to support business objectives. Reporting to the Group Manager, the person in this role will support the Data Analytics and Data Science objective to lead data engineering products and initiatives that include improving quality and accuracy of data for all data domains while improving the time to data. **What you’ll be doing** Leadership and Team management + Lead, mentor, and grow a team of data engineers, ensuring their professional development and high performance. + Strategic Leadership: Develop and execute the Data Engineering strategies aligned with business objectives. + Team Management: Lead and mentor a team of data professionals, fostering a culture of collaboration and continuous improvement. + Project Management: Manage projects from inception to completion, ensuring timely delivery and adherence to budget. + Funding and Budgeting: Manage funding and budgeting for Data Engineering initiatives, ensuring optimal allocation of resources and financial oversight. + Continuous Improvement: Identify opportunities for process improvements and implement best practices in MDM. + Data Analytics: Utilize data analytics to derive actionable insights and support decision-making processes. Data Integration and Quality + Data Ingress/Egress Management: Oversee the secure and efficient transfer of data across systems and platforms. + Oversee the integration of master data across systems, ensuring data flows consistently between business applications, databases, and reporting tools. + Implement processes and technology solutions to improve data quality, accuracy, and completeness. Innovation and Technology Management + Design, implement, and maintain scalable data architectures to support data-driven business processes and analytics. + Evaluate and integrate new technologies, tools, and frameworks to continuously improve the data engineering ecosystem. + Manage Data tools and platforms, ensuring their optimal use and alignment with organizational needs + Evaluate and recommend new Data Engineering technologies and solutions to improve data management efficiency + Work with IT and development teams to design, implement, and optimize MDM solutions and processes. Stakeholder Management and Partnerships + Act as the primary point of contact for Data inquiries, projects, and initiatives. + Build strong relationships with business stakeholders (e.g., marketing, sales, finance, supply chain) to understand data needs and requirements. + Communicate the value of Data Engineering initiatives to senior leadership and ensure alignment with broader business strategies. + Stakeholder Engagement: Collaborate with business units, IT, and other stakeholders to understand data needs and deliver solutions. Data Strategy and Governance: + Data Governance: Establish and enforce data governance policies and standards to ensure data quality and compliance + Define, implement, and maintain data policies, standards, and best practices for managing critical business data (e.g., customer, product, supplier, etc.). + Drive the development and implementation of roadmaps and programs to support business objectives. + Ensure data is accurate, consistent, and compliant with internal and external regulations. **What you bring** + Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. + Minimum of 15+ years of experience in data management, data analytics, MDM, and Agile with at least 5 years in a leadership role. Technical Skills + Proficiency in MDM tools and technologies, data analytics platforms, and data governance frameworks. + Familiarity with Cloud Technologies and Platforms (AWS Experience Preferred). + Experience with data storage technologies like relational databases (e.g., MySQL, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), and data lakes. + Proficiency with data engineering tools and technologies such as SQL, Python, Spark, Airflow. + Familiarity with data governance, security, and privacy standards. Leadership Skills + Demonstrative ability to drive results, manage change and adapt to evolving business needs. + Strong leadership and team management skills with the ability to inspire and motivate others. + Excellent analytical and problem-solving abilities with a keen attention to detail. + Exceptional communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels. + Proven experience in managing funding and budgeting for large-scale projects. **Added bonus if you have** + Master's degree is preferred. + Relevant certifications in MDM, data management, or data analytics are a plus. + AWS / Cloud Certifications. + Experienced in working in an Agile environment with SAFe. + Experienced with Reltio or other Master Data Platforms. **What we’ll bring** During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include: + A work environment built on teamwork, flexibility and respect + Professional growth and development programs to help advance your career, as well as tuition reimbursement + Team Member Vehicle Purchase Discount + Toyota Team Member Lease Vehicle Program (if applicable) + Comprehensive health care and wellness plans for your entire family + Flextime and virtual work options (if applicable) + Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute + Paid holidays and paid time off + Referral services related to prenatal services, adoption, child care, schools and more + Flexible spending accounts **Belonging at Toyota** Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.
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