Managing Director, Data Platforms, Architecture, & Operations

Federal Express Corporation•Plano, TX

23h•Hybrid

About The Position

We are seeking a highly experienced and strategic Managing Director of Data Platforms, Architecture & Operations to lead our enterprise data transformation journey based out of our Plano, TX location. In this critical leadership role, you will be responsible for defining the strategy, architecture, and operational excellence of our large-scale data ecosystems. You will lead teams of data engineers, platform architects, and operations specialists to build, scale, and secure modern data platforms. The ideal candidate brings a wealth of expertise in Google Cloud Platform (GCP) and Databricks, coupled with a deep commitment to "Secure By Design" principles and a passion for modern data engineering tooling. This is an opportunity to drive the technical strategy for a massive, global data footprint from our Plano, TX location. A leadership role at the forefront of AI-first engineering and cloud modernization.

Requirements

Proven, hands-on architectural and operational expertise in GCP (Google Cloud Platform) and Databricks.
Demonstrated success in managing, scaling, and migrating large-scale cloud data platforms and distributed systems.
Deep understanding of cloud security protocols, identity and access management (IAM), and data protection strategies (Secure By Design).
Strong background in modern data engineering stacks, DataOps methodologies, infrastructure as code (IaC), and CI/CD pipelines.
Exceptional leadership and program management skills, with the ability to communicate complex technical roadmaps to executive stakeholders and manage cross-functional, highly technical teams.
Extensive experience in systems development including design, development, implementation and maintenance of large batch or online transaction based systems.
Experience in the majority of the following: mainframe, distributed systems, client server, relational systems, transaction and message systems, embedded systems, imaging and systems management and operation.

Responsibilities

Define and execute the overarching data and platform architecture strategy, ensuring alignment with enterprise business objectives and technology transformation goals.
Lead large-scale data platform migrations and modernization efforts (e.g., migrating legacy or alternative cloud platforms to GCP).
Design robust, highly scalable, and distributed data architectures that support advanced analytics, AI-first engineering, and high-volume data processing.
Oversee the administration, optimization, and scaling of large enterprise cloud environments, with a primary focus on GCP and Databricks.
Drive the Ops strategy (DataOps/MLOps), ensuring high availability, performance tuning, reliability, and proactive monitoring of critical data pipelines and platforms.
Manage cloud resource consumption, optimize costs, and oversee vendor performance and SLA adherence.
Embed "Secure By Design" methodologies across all data platforms, architectures, and engineering lifecycles.
Establish and enforce robust data governance, access controls, and inherited control frameworks to ensure compliance with enterprise and regulatory standards.
Proactively identify and mitigate infrastructure and data security risks within cloud environments.
Evaluate, select, and implement best-in-class data engineering tools and frameworks to accelerate development and improve pipeline efficiency.
Guide the development of complex data pipelines, data ingestion frameworks, and structured data stores.
Champion the upskilling and continuous development of the engineering workforce, building high-performing PODs capable of delivering AI and data foundation initiatives.
Plan, organize, direct and control all efforts relative to the design, definition, development, implementation and maintenance of computer systems, applications, projects and programs.