Director of Analytics Operations

Job Title: Director of Analytics Operations

About Us:

ADP's Core Commercial Analytics Engineering Team is dedicated to transforming the way we leverage data and analytics to drive business success. We are committed to building a unified vision of the customer journey by integrating sales and marketing analytics under a single, cohesive strategy. Join us in our mission to enhance data quality, streamline processes, and foster innovation.

Role Overview:

The Director of Analytics Operations will lead the development and execution of our analytics strategy, ensuring the seamless integration of data systems and analytics processes across the sales & marketing organization. This role will be pivotal in bridging the gap between Data Engineering and Reporting teams, managing critical data assets, and driving the transition to a more efficient and unified analytics infrastructure. The focus will be on managing day-to-day systems and operations while contributing to the strategic direction of the team.

Key Technologies in our Stack:

Databricks, DBT, Bitbucket, AWS CodeConnect, Anomalo, JIRA, Alation, Tableau

Key Responsibilities:

Leadership and Thought Leadership:

• Provide strategic direction and thought leadership in analytics operations.
• Foster a culture of collaboration and innovation across Sales, Marketing, and Data Engineering teams.

System Integration and Management:

• Oversee the ongoing integration and performance of Databricks, Bitbucket, AWS CodeConnect, Anomalo, dbt, and Tableau.
• Ensure seamless data flow and system interoperability.

Data Engineering Leadership:

• Lead internal and cross-team data engineering efforts.
• Lead initiative to transition from batch-loaded extract processes to cached live connections for Tableau.
• Enhance data accessibility, reduce latency, and improve cost-efficiency.

Process Development:

• Develop and document operational processes, including agile concepts, analytics transformation, and data operations processes.
• Implement CI/CD pipelines to streamline data workflows.

Data Observability and Monitoring:

• Implement and monitor data observability practices to ensure data reliability and quality.
• Track and report on key performance metrics, including user engagement, data quality, and operational efficiency.

Data Governance:

• Ensure compliance with data governance policies and regulatory requirements.
• Maintain comprehensive documentation and manage new systems.

Internal Reporting:

• Report on the strategic direction and performance of the analytics engineering team.
• Provide insights and recommendations to senior leadership.

Team Management:

• Manage senior analysts & engineers responsible for detailed data work.
• Provide guidance and support to ensure efficient and accurate data processing.
• Promote professional development and continuous learning within the team.

Requirements:

• A college degree is nice to have but not required, what's more important is having the skills to do the job. Other forms of acceptable experience include:
• 8 - 10 years' experience within data operations, data governance, analytics, data and/or analytics engineering.
• Excellent SQL skills.
• Effective Python skills.
• Strong knowledge of data management, governance, and quality assurance practices.
• Expertise, or equivalent, in tools such as Databricks, Bitbucket, Anomalo, dbt, and Tableau.
• Experience with data architecture design, including DAGs and Data Vaults.
• Excellent communication and collaboration skills, with the ability to work effectively across teams.
• Excellent presentation skills.
• Strategic thinker with a track record of driving innovation and efficiency in data operations.
• Strong understanding of enterprise sales and marketing analytics.

Preferred Qualifications:

• Experience in transitioning from legacy systems to modern data platforms.
• Familiarity with building and maintaining semantic layers.