Director of Analytics Engineering

Company: ADP, Inc.
Location: Miami
Posted on: March 17, 2025

Job Description:

ADP is hiring a Director of Data Engineering dedicated to analytical use case 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 specialized engineering for BI and Data Science solutions. The Director of Data Engineering will lead a team focused on building and optimizing analytical transformations, feature stores, 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.WHAT YOU'LL DO:

• 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 faster delivery of BI and Data Science use cases by prioritizing execution and reducing bottlenecks.
• Business-oriented problem solver. You partner closely with BI and Data Science to understand use case requirements and ensure solutions 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 use case 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 feature store 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:
    • 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-time delivery.
    • Deep technical knowledge of big data technologies (Databricks, Spark, SQL, Python, PySpark) and cloud-based data platforms.
    • Experience working with BI and Data Science teams, translating business needs into scalable technical solutions.
    • Expertise in performance optimization, governance, and security for analytical solutions.
    • Ability to work in agile environments, driving execution efficiency and reducing bottlenecks.
    • Strong problem-solving skills and a track record of removing obstacles to accelerate execution.
    • Excellent communication and stakeholder management skills, with the ability to present technical solutions to senior leadership.Preferred Qualifications:
      • Advanced degree (Master's/MBA) in Software Engineering, Data Engineering, Computer Science, or related disciplines.
      • Hands-on experience with Databricks, Apache Spark, and large-scale data processing frameworks.
      • Knowledge of data governance best practices, including lineage tracking, validation, and access control.
      • Experience with feature store development and analytical transformations for BI and ML.
      • Experience with CI/CD tools (Bitbucket, Jenkins) and automation frameworks for data engineering.YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:
        • Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to net out the best solution.
        • Deliver at epic scale. We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
        • Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
        • Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
        • Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.
        • Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.What are you waiting for?Apply today!
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Keywords: ADP, Inc., Miami , Director of Analytics Engineering, Engineering , Miami, Florida