|主なスキル||- Proven experience as a Project Manager, specifically in automotive projects involving AWS data platform implementation.|
- Strong understanding of AWS technologies and services, particularly those related to data platforms and analytics.
- Experience designing and implementing scalable and secure data platforms using AWS services.
- Familiarity with cloud architecture principles, microservices, and serverless computing in the context of automotive applications.
- Proficiency in project management methodologies and tools.
- Strong understanding of Agile principles, values, and practices, with hands-on experience in Agile project management.
- Excellent leadership and communication skills, with the ability to effectively manage cross-functional teams and stakeholders.
- Strong problem-solving and decision-making abilities.
- Ability to adapt to changing project requirements and priorities.
- AWS certifications related to data analytics or cloud architecture are a plus
- Familiarity with automotive development processes, industry standards, and regulations.
- Excellent project management skills, including planning, execution, and risk management.
- Proficiency in using Agile project management tools and software.
- Business-level Japanese (JLPT N2) and English
|詳細内容||Project Planning and Initiation:|
- Collaborate with stakeholders to define project scope, objectives, and deliverables, with a focus on data platform implementation using AWS technologies.
- Conduct a thorough analysis of customer requirements and translate them into project plans, considering the specific needs of AWS data platforms in the automotive industry.
- Develop detailed project plans, including timelines, resource allocation, and budgeting, ensuring alignment with project goals and customer expectations.
- Identify potential risks and challenges related to data platform development and establish effective mitigation strategies.
AWS Data Platform Expertise:
- Possess a strong understanding of AWS technologies and services, particularly those relevant to data platforms, such as AWS Data Lake, AWS Glue, AWS Redshift, AWS Athena, and AWS IoT services.
- Design, architect, and implement scalable and secure data platforms using AWS services, ensuring compliance with industry standards and best practices.
- Collaborate with AWS cloud experts to leverage advanced features, optimize performance, and enhance data analytics capabilities.
- Stay up to date with the latest advancements in AWS data platform technologies and propose innovative solutions to improve project outcomes.
Project Execution and Monitoring:
- Lead the project team in executing data platform projects, ensuring adherence to established timelines, budgets, and quality standards.
- Monitor project progress, identify bottlenecks, and proactively address any issues that may impact project delivery.
- Coordinate with cross-functional teams, including software engineers, data scientists, and infrastructure specialists, to ensure seamless integration of data platforms with automotive systems.
- Conduct thorough testing and validation of data platforms, ensuring data integrity, performance, and compliance with industry regulations.
- Engage and collaborate with stakeholders, including internal teams, customers, suppliers, and AWS representatives, to ensure effective communication and alignment throughout the project.
- Manage stakeholder expectations, providing regular updates on project status, risks, and achievements related to data platform development.
- Proactively address concerns or conflicts that may arise among stakeholders, ensuring their needs are understood and addressed appropriately.
Continuous Improvement and Knowledge Sharing:
- Continuously assess project outcomes and identify areas for improvement in data platform implementation and project management processes.
- Share knowledge and best practices with the team, promoting continuous learning and professional development opportunities.
- Collaborate with the broader organization to contribute to the development of standards, methodologies, and tools for AWS data platform-related projects.