Director of Data

Director of Data ($180,000 - $200,000 salary + 20% bonus) Base pay range

$/yr - $/yr

About the Company

Our client is a top rated residential real estate brokerage in the US, helping families buy and sell their homes. The brokerage serves thousands of families each year and closes billions of dollars of real estate transactions annually by offering homeowners several home selling programs, including getting the best possible Guaranteed Offer for qualified clients. This company is poised to more than double the volume of homes sold annually by leveraging technology to better serve clients and pursuing geographical expansion to serve even more families.

The Director of Data is responsible for leading the company's data strategy and execution to drive business performance. This role combines strategic leadership with hands-on analytical work to deliver insights that enable faster, more accurate executive decision-making. The director oversees the Data Analytics Manager and a near-shore team of data engineers and is responsible for data analytics, data engineering and data science initiatives.

The position is in Alpharetta, GA, and reports to the CFO.

• Define and execute the company's data strategy aligned with business objectives and growth plans.
• Partner with the executive team to identify key business questions and translate them into analytical solutions.
• Drive data-informed decision-making across the organization by delivering timely, accurate insights.
• Establish and maintain data governance standards, policies, and best practices.
• Lead the evaluation and adoption of new data technologies and methodologies to maintain competitive advantage.
• Manage the company's infrastructure and annual budgeting for data storage, integration, and retrieval.

• Conduct complex, detailed analysis to answer critical business questions for the executive team.
• Oversee the development of executive-level dashboards and reports that provide real-time visibility into key performance metrics; regularly validate data accuracy of key reporting processes.
• Ensure consistent KPI definition and measurement across the business to maintain a single source of truth.
• Present analytical findings to the executive team with clear, actionable recommendations.
• Leverage the company's Big Query data warehouse and Looker BI platform to support internal and external reporting needs.

• Manage the Data Analytics Manager who is responsible for managing a near-shore team of data engineers.
• Lead the company’s cross-functional prioritization process for analysis and data engineering requests by assessing effort and ROI to focus on highest-impact projects.
• Communicate timing and priorities to stakeholders regularly and manage expectations effectively.
• Build team capabilities through coaching, mentoring, and professional development.
• Regularly assess the team to determine the right data team structure for optimal performance and velocity.

• Ensure the data warehouse is built and maintained using industry best practices.
• Oversee data collection, integration, quality, and accuracy to ensure reliable analytics outputs.
• Manage the company's Google Cloud infrastructure, including Big Query and Looker.
• Implement and maintain data security and privacy standards.
• Support automated B2B data transfer to key external business partners.

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or related field; advanced degree and/or relevant certifications preferred.
• 10 or more years of experience in data analytics and data engineering, with at least 5-7 years managing teams responsible for data infrastructure and analytics.
• Proven track record of building and managing data warehouses using industry best practices.
• Expert proficiency in SQL, Python, and Google Cloud Platform (Big Query, Looker).
• Strong experience leading BI dashboard development using data visualization best practices.
• Demonstrated ability to conduct sophisticated analysis and deliver executive-level insights.
• Experience with change management and user training for reporting and BI tools.
• Excellent communication skills with the ability to convey complex data insights clearly to executive audiences.
• Strong project management skills with ability to manage multiple priorities and stakeholders.
• Experience with predictive analytics, machine learning, and advanced statistical methods preferred.
• Experience in real estate, lead generation, or service industries preferred.

$180,000 - $200,000 salary + 20% bonus

Full-time

Finance