What are the responsibilities and job description for the Sr. Director of Data Science and AI position at Burtch Works?
Job Title: Director of Data and Development
Location: Cincinnati, OH (Open to remote with travel)
Contract Duration: Full-time
Salary: $175K–$225K Bonus ($300K Total Comp)
About The Company
Our client is one of the fastest-growing data-driven organizations in the construction industry. They are committed to leveraging data to enhance operational efficiency and business intelligence. This is a unique opportunity to drive innovation in predictive analytics and shape the future of data strategy in a high-growth environment.
Job Summary
We are seeking a Director of Data and Development to lead a team of analysts, developers, and data scientists in designing and implementing scalable data solutions. This role will oversee data architecture, analytics, governance, and engineering best practices to ensure business stakeholders receive accurate, real-time insights. The ideal candidate is a hands-on leader with a strong background in predictive analytics who has used data engineering, AI, and cloud technologies to drive enterprise-wide data transformation initiatives .
Key Responsibilities
Role
The Director of Data and Development will play a critical role in digital transformation , particularly within the Discovery Product Group , which focuses on marketing engineering . The team works extensively with data and APIs, including GraphQL , and operates within four core pods :
Location: Cincinnati, OH (Open to remote with travel)
Contract Duration: Full-time
Salary: $175K–$225K Bonus ($300K Total Comp)
About The Company
Our client is one of the fastest-growing data-driven organizations in the construction industry. They are committed to leveraging data to enhance operational efficiency and business intelligence. This is a unique opportunity to drive innovation in predictive analytics and shape the future of data strategy in a high-growth environment.
Job Summary
We are seeking a Director of Data and Development to lead a team of analysts, developers, and data scientists in designing and implementing scalable data solutions. This role will oversee data architecture, analytics, governance, and engineering best practices to ensure business stakeholders receive accurate, real-time insights. The ideal candidate is a hands-on leader with a strong background in predictive analytics who has used data engineering, AI, and cloud technologies to drive enterprise-wide data transformation initiatives .
Key Responsibilities
- Data Strategy & Scalable Infrastructure
- Design and implement a robust data architecture that enables real-time analytics and high availability.
- Lead data strategy, analytics, and development initiatives to enhance business intelligence and decision-making.
- Establish best practices for data modeling, governance, and security to ensure data reliability.
- Collaborate with IT leadership to ensure scalability, reliability, and performance of data systems.
- Evaluate and recommend data management tools, cloud solutions, and architectures.
- Data Engineering & Analytics
- Oversee the design, development, and optimization of data pipelines that integrate and prepare data for analysis.
- Build and maintain ETL pipelines, data warehousing, and reporting solutions .
- Implement data governance programs that drive data quality, consistency, and security.
- Leverage AI and machine learning to enhance data-driven decision-making.
- Leadership & Team Growth
- Manage a data team consisting of engineers, data scientists, and analysts .
- Lead Agile teams and implement iterative development methodologies.
- Serve as hiring manager, assisting in recruiting and retaining top data talent.
- Mentor team members on system architecture, data engineering, and analytics development .
- Collaborate with stakeholders across the organization to ensure data solutions align with business needs .
- Insights & Business Impact
- Partner with business leaders to translate data insights into strategic decisions .
- Drive predictive analytics and decision intelligence to improve productivity, safety, and quality.
- Develop AI and machine learning models to enhance operational efficiency.
- Optimize reporting tools and automate recurring reports for efficiency.
Role
The Director of Data and Development will play a critical role in digital transformation , particularly within the Discovery Product Group , which focuses on marketing engineering . The team works extensively with data and APIs, including GraphQL , and operates within four core pods :
- .com team (website functionality)
- Lead qualification
- Advisors (matching and profile development)
- Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
- Experience
- 15 years in data architecture, engineering, analytics, or software development.
- 10 years leading data teams, developers, and analysts.
- Hands-on experience with AI, machine learning, and predictive analytics .
- Strong knowledge of ETL development, data warehousing, and cloud platforms .
- Industry experience in construction, retail, or logistics is helpful but not required.
- Deep expertise in SQL, Python, and big data technologies (Snowflake, Databricks, Spark, Hadoop) .
- Familiarity with enterprise data governance and security regulations .
Salary : $175,000 - $225,000