Director, Enterprise Data Management & Business Intelligence

Summary:

The Director of Enterprise Data Management and Business Intelligence (BI) will help lead the development and execution of an enterprise data strategy that ensures data quality, accessibility, security, and strategic value. This role blends technical expertise with cross-functional leadership, advancing analytics capabilities that empower data-driven decision-making across the ASPCA.

As a key member of the Product, Data, and Reporting leadership team, the Director will serve as a critical bridge between program teams and IT, promoting a data-first culture. The ideal candidate will be a relationship-builder and systems thinker, with a deep understanding of data governance, BI tools, and emerging technologies that drive actionable insights and operational excellence—all while supporting the mission to end cruelty to animals. This position includes building a high-performing team and continuously evolving our capabilities 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 as a part of this process.

Responsibilities:

Responsibilities will include, but are not limited to:

Team Leadership (30%)

• Build and scale a high-performing team of data professionals, including data analysts, BI developers, and data governance 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

• 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.

Enterprise Data Governance Implementation and Operations (20%)

• Develop and implement an ASPCA-wide data governance framework and steering council accountable for decision making on ASPCA data policies and standards

• Collaborate with leadership to identify data stewards and owners, define roles and responsibilities, determine training needs and ongoing communication

• Manage and implement enterprise data governance rules, processes, workflows, documentation, and tools that drive data availability, improve data accuracy and reliability, reduce risk and foster better decision making

• Champion data literacy and stewardship across the organization

• Translate complex data concepts to non-technical stakeholders to foster adoption and understanding

Business Intelligence Execution (20%)

• Oversee and manage the design, development, and delivery of BI solutions as part of the data strategy roadmap and ongoing operational requests to provide actionable insights to stakeholders

• Partner with business units to understand reporting and analytics needs and translate them into technical solutions

• In collaboration with Director, Data Engineering Operations and others, advance BI infrastructure, centralized reporting frameworks, and analytics maturity using new and emerging technologies such as artificial intelligence (AI) and machine learning (ML) solutions

• In partnership with Director, Data Engineering Operations, manage enterprise BI tools and platforms, ensuring scalability and performance

• Drive self-service BI capabilities and democratize access to trusted dat