Director of Analytics Engineering

ADP is hiring a Director of Analytics Engineering dedicated to data foundations development within our HR Outsourcing (HRO) Business Transformation and Analytics organization. This role will play a critical part in accelerating execution, ensuring stronger team alignment, and enhancing foundational engineering for BI and Data Science solutions. The Director of Data Engineering will lead a team focused on building and optimizing analytical transformations and scalable data solutions to meet business needs.

We are looking for a tactical leader who thrives in fast-paced environments, drives execution efficiency, and ensures data quality and governance in analytical solutions. The right candidate will be highly collaborative, working across engineering, BI, and Data Science teams to bridge technical execution with business priorities.

What are we looking for?

An analytics and data engineering professional with a passion and track record for designing analytics and delivery methods to increase accuracy of reporting and advanced analytics in an agile environment to unlock transformational growth. Someone with intellectual curiosity who wakes up excited to work with a team towards excellence and partner with leaders to drive business outcomes and deliver analytical solutions. The ideal candidate is business-minded, customer-centric, team-oriented, self-motivated, a strategic thinker and results-driven.

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Learn more about ADP at jobs.adp.com

WHAT YOU'LL DO:

Here's what you can expect on a typical day:

Behaviors:

• Lead teams that thrive. You lead with a strong engineering vision, fostering a high-performance team that delivers business impact.
• Execution-focused. You are tactical and results-driven, ensuring effective delivery of foundational data to serve BI and Data Science analytics solutions by prioritizing execution and reducing bottlenecks.
• Business-oriented problem solver. You partner closely with business partners, BI, and Data Science to understand data requirements and ensure foundational data assets align with business priorities.
• Hands-on leadership. You support your team in overcoming technical challenges, ensuring solutions are scalable, performant, and maintainable.
• Collaboration-first approach. You create strong alignment between engineering, BI, and Data Science, ensuring solutions meet business and technical requirements.
• Data quality champion. You enforce governance controls, validation, lineage tracking, and security policies to maintain data integrity.

Responsibilities/Activities:

• Lead and manage a team of engineers focused on BI and Data Science foundational data development.
• Drive faster execution, prioritizing efficiency while ensuring high-quality analytical data solutions.
• Partner with BI, Data Science, and business teams to define technical requirements and deliver scalable solutions.
• Improve analytical transformations and foundational data development, ensuring best practices in data engineering, modeling, and performance optimization.
• Implement data governance controls to maintain validation, security, and lineage tracking.
• Ensure solutions are scalable, maintainable, and aligned with architectural best practices.
• Oversee execution timelines, proactively identifying and addressing bottlenecks.
• Provide technical leadership, supporting engineers in solving complex data and analytics challenges.
• Drive continuous improvement in engineering processes, leveraging automation and best practices.
• Collaborate with senior leadership to align technical execution with strategic business priorities.

To succeed in this role, you should have:

• You'll have a Bachelor's degree OR equivalent.
• 10+ years of experience in data engineering, analytics engineering, or software development, with 5+ years of leadership experience.
• Strong expertise in data transformations, feature engineering, and analytical data pipelines.
• Proven ability to lead tactical engineering teams, manage execution priorities, and ensure on-t