Director, Enterprise Data Engineering Operations

Summary:

The Director, Enterprise Data Engineering Operations, will help lead the development and execution of an enterprise data strategy that ensures data quality, accessibility, security, and strategic value. The ideal candidate combines deep technical expertise with strong leadership and operational excellence and is an experienced and strategic leader capable of building and scaling the enterprise data infrastructure from the ground up.

As a key member of the Product, Data, and Reporting leadership team, the Director, Enterprise Data Engineering Operations will drive the design and implementation of the initial data tech stack, establish scalable and resilient data pipelines, and help create the operational foundation for analytics, reporting, and advanced data capabilities. They will understand the business strategy as well as how to use data to drive the business in the desired direction using a process-oriented, automated, and collaborative approach to designing, implementing, and managing data workflows in a distributed data architecture. This role is critical to building and managing high-performance data systems and processes, ensuring that our platforms meet the growing analytical and operational needs of the organization. This position includes building a high-performing team and continuously evolving our platform to meet future business demands 

In this position, you will never be bored! The ASPCA supports a broad portfolio of technologies to support a highly mobile and diverse staff. Maintaining a presence in multiple geographic locations, the team provides support (hands-on and remote) to over a dozen facilities and field operations, and over a thousand individual staff members. Your work will be integral to the ASPCA as you work across departments and ASPCAs to ensure ASPCA staff, partners and communities have the systems needed to work effectively and efficiently to improve animal welfare.

This remote-based position (which requires travel, as described below) is open to all eligible candidates based within the United States. Please note, a Cover Letter is required to complete your application. Applications for this role will be accepted until 5pm ET on Tuesday 6/17/25.

Responsibilities:

Responsibilities will include, but are not limited to:

Team Leadership (30%):

• Build and scale a high-performing team of data professionals, including data engineers and data platform specialists; imbue team with a good understanding of the ASPCA’s mission, teams, and priorities

• Define team structure, roles, and hiring plans aligned with the evolving data roadmap

• Foster a collaborative data culture focused on ownership, innovation, and excellence

• Lead vendor evaluation and onboarding for external resources or managed services, as needed

• Identify and implement targeted training plans to equip the team with the skills needed to effectively use the data tech stack aligned with their roles and responsibilities

• Align team objectives with organizational priorities and adjust focus as needed for maximum impact

• Be responsible for the team’s day-to-day activities to ensure project plans and delivery commitments are met

• Maintain, evaluate, and improve team performance metrics

• Work with team members to identify professional areas for growth and provide mentoring, coaching, training and cross-training opportunities

• Perform people management tasks, such as check-ins, goal setting, approving schedule requests, interviewing candidates for open positions, etc.

Data Infrastructure Implementation and Operations (40%):

• Lead the selection, architecture and implementation of a modern data tech stack

• Design, build, and maintain scalable and secure data platforms and pipelines to support ingestion, transformation, and access

• Oversee and manage the design, development, and delivery of data solutions as part of the data strategy roadmap and ongoing operational requests 

• Establish pipeline development standards, orchestration patterns, and monitoring practices

• Ensure enterprise-level security, governance, and compliance are embedded from the start

• Lead root cause analysis, system tuning, and iterative improvements based on usage trends and business feedback

Strategic Alignment and Process Optimization (30%):

• Co-lead and execute a comprehensive data strategy and roadmap with Director, Enterprise Data Management and BI to ensure alignment in priorities, data architecture, tooling, and cross-training

• Collaborate with leadership to sustain a unified enterprise data strategy and data-driven