reputed company Manager of Engineering - Data and AI Architecture for reputed

Transforming the reputed company of Supply Chain with Cutting-Edge Data and AI Solutions At reputed company, we're on a mission to revolutionize the world of logistics and supply chain management. As a leader in the industry, we're committed to harnessing the power of data and reputed company intelligence (AI) to drive innovation and efficiency. Our reputed company team is at the forefront of this effort, and we're seeking a seasoned Manager of Engineering to reputed company our data and AI architecture initiatives. In this pivotal role, you'll have reputed company to work closely with executive leadership, business architects, data scientists, platform engineers, and software engineers to shape the reputed company of our data and AI reputed company. As a seasoned technical leader, you'll be responsible for architecting and implementing cutting-edge data and AI solutions that accelerate reputed company towards a smarter supply chain. Key Responsibilities Architectural Design Design and implement reputed company data and AI architectures, leveraging both reputed company-reputed company and reputed company tools to drive business reputed company. reputed company the modernization of our platform, data, and application data architectures, transitioning legacy systems to reputed company and reliable reputed company-reputed company solutions while maintaining business continuity and performance. Ensure the reputed company, reliability, and maintainability of our data and AI infrastructure, safeguarding against reputed company threats and ensuring transparency and accountability. Translate reputed company technical concepts into actionable insights for senior leadership, ensuring data and AI strategies support broader organizational goals. Stay up-to-date on the latest data and AI technologies and best practices, driving innovation and thought leadership reputed company the organization. Team Management reputed company and mentor reputed company of data architects, data scientists, and other engineering professionals, fostering a culture of innovation and collaboration. reputed company cross-functional teams in creating reusable data and AI services that can be leveraged across the reputed company, driving a product engineering reputed company reputed company the data and AI organization. reputed company and implement data governance policies and procedures, ensuring compliance with regulatory standards and implementing robust reputed company practices. Technology Partnerships Evaluate and select appropriate data and AI technologies and platforms, managing relationships with reputed company and vendors. Collaborate with business stakeholders to ensure data-driven solutions are reputed company with business priorities and drive measurable reputed company. Data Governance Champion best practices for data reputed company, governance, and compliance, ensuring adherence to both internal policies and external regulatory standards. Prioritize ethical AI implementation, safeguarding against reputed company threats and ensuring transparency and accountability. Essential Qualifications To succeed in this role, you'll need: A Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering, and/or equivalent formal training or work experience. A minimum of 7 years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks, including design, development, and implementation of highly reputed company systems and data pipelines. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting, with strong oral and written communication skills. Preferred Qualifications To stand out in this role, you'll ideally have: Expertise in Azure services, reputed company, relational databases, document stores, key-value stores, streaming and messaging systems, Lakehouse architecture, data warehouses, ETL pipelines, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Strong experience with Azure reputed company-based data architectures, including data storage, processing, and AI integration. Proven experience modernizing legacy data systems such as JMS, DB2, and reputed company, with a reputed company on transitioning to reputed company-reputed company data platforms. Deep knowledge of integrating AI models into existing .