Oferta de trabajo: Manager Engineering

JOB REQUIREMENTS: Takes ownership and responsibility for the support the design, build, test and maintain data pipelines at big data scale. Leads a team responsible for modeling and development to support operations initiatives, strategic programs and new products and solutions. Strong background and experience in the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical tools. Uses expertise to lead a team that initiates and delivers projects and develops end-to-end solutions that drive business results, including proofs-of-value for new business problems and production-ready solutions for operations and customer-facing products. Understands and ensures development of solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Advances Dataworks\' broad capabilities to use and deploy cutting edge data science and machine learning tool s in Dataworks projects, platforms and products. Provides expert consultation and thought leadership to senior management. Mentors other team members to drive results and effectively collaborates with cross-functional teams to deliver business goals. As the Manager Engineering - Data and AI Architecture, you will be responsible for leading the architecture, and implementation of the organization\'s data and AI strategy. You will work closely with executive leadership, business architects, data scientists, platform engineers, software engineers and other stakeholders to ensure that Data and AI initiatives are accelerating FedEx towards a smarter supply chain. This role requires deep expertise in data architecture, AI technologies, and cloud native as well as legacy systems. The successful candidate will have a strong platform and product engineering mindset with accompanying experience in data governance, compliance, and operational excellence. Job Description / Responsibilities Architectural Design: Identify and implement the optimal data and AI architecture, leveraging both open-source and commercial tools. Drive the modernization of platform, data and application data architectures, transitioning legacy systems to scalable and reliable, cloud-native solutions while maintaining business continuity and performance. Ensure the security, reliability, and maintainability of our data and AI infrastructure. Translate complex 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. Team Management: Lead and mentor a team of data architects, data scientists, and other engineering professionals. Foster a culture of innovation and collaboration within the data and AI team. Lead cross-functional teams in creating reusable data and AI se rvices that can be leveraged across the enterprise, fostering a product engineering mindset % of Time within the data and AI organization. Technology Partnerships: Evaluate and select appropriate data and AI technologies and platforms. Manage relationships with technology partners and vendors. Collaborate with business stakeholders to ensure data-driven solutions are aligned with business priorities and drive measurable outcomes. Data Governance: Develop and implement data governance policies and procedures. Prioritize ethical AI implementation by safeguarding against security threats and ensuring transparency and accountability. Champion best practices for data security, governance, and compliance, ensuring adherence to both internal policies and external regulatory standards. Skills / Abilities Technologies: Expertise in Azure services, Databric To view the full job description please use the link below. https://www.aplitrak.com/?adid=YmJnZW5lcmljLjA3ODY5Ljg3NzBAZmVkZXhjb21wLmFwbGl0cmFrLmNvbQ ****\ APPLICATION INSTRUCTIONS: Apply Online: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjA3ODY5Ljg3NzBAZmVkZXhjb21wLmFwbGl0cmFrLmNvbQ