Senior Manager, Data Engineering

Cox Communications • Atlanta, GA

7h • Hybrid

About The Position

The Atlanta Journal-Constitution is seeking a hands-on Senior Manager, Data Engineering, Data Science and AI to lead its data strategy and innovation initiatives. The role oversees the development, optimization, and maintenance of the consumer data ecosystem and builds and mentors teams across data engineering, data science, and AI/ML. It shapes the strategic direction of data and analytics operations and establishes best practices for scalable data management and AI solutions.

The position manages Snowflake environments, ETL processes, raw data ingestion, and data warehouse capabilities. It also leads data science and AI/ML initiatives with business impact, such as predictive analytics, audience segmentation, recommendation engines, and content optimization. The manager oversees analytics tools and advanced analytics projects and works across teams to translate data insights into business strategies. The position is based in Atlanta, Georgia, and requires commuting to the Midtown office multiple times a week. The work arrangement is hybrid, with remote work part of the week; travel is 15% of the time, and the shift is day.

Requirements

• Must currently be authorized to work in the United States for any employer without current or future sponsorship; OPT, CPT, STEM/OPT, and visa sponsorship are not available.
• Must currently live within commuting distance of Atlanta, Georgia, and be comfortable commuting to the Midtown office multiple times a week.
• Bachelor's degree in computer science, engineering, data science, mathematics, or a related field and at least 8 years of experience, including 3 years in management or leadership; or a master's degree and at least 6 years of experience; or a Ph.D. and at least 3 years of experience; or at least 12 years of relevant experience without a degree.
• Ideal candidate has at least 6 years of individual-contributor experience in data engineering and 2 or more years of people management.
• Proven track record managing and leading Snowflake environments, ETL pipelines, and data engineering teams.
• Extensive experience designing and maintaining scalable data warehouses and data architectures.
• Experience leading data science or analytics initiatives with demonstrated business impact.
• Strong SQL and Python programming skills.
• Proficiency with data science libraries and frameworks such as scikit-learn, pandas, and NumPy.
• Experience building and maintaining REST APIs.
• Hands-on experience with web analytics tools and integrating them into data ecosystems.

Responsibilities

• Oversee the configuration, optimization, and scalability of the Snowflake environment to ensure data integrity and accessibility.
• Design and manage ETL pipelines for data integration and transformation across Snowflake and AWS, using functions, stored procedures, and orchestration tools such as Airflow or Prefect.
• Use AWS tools, including EC2, Athena, and Kinesis, to optimize data ingestion, storage, and streaming pipelines.
• Implement and manage CI/CD pipelines for automated code deployment, testing, and quality assurance, and ensure efficient version control using tools such as GitHub.
• Design and optimize data transformation workflows using dbt to model, clean, and enrich datasets and maintain high-quality, testable data structures.
• Lead the design and evolution of data warehouse architecture for reporting, analytics, and business intelligence.
• Manage raw data ingestion from various sources and ensure timely, accurate integration into Snowflake.
• Integrate and optimize data pipelines from web analytics platforms such as Google Analytics and Amplitude.
• Champion best practices in data governance, security, compliance, and quality management.
• Oversee advanced statistical analyses, A/B testing frameworks, and causal inference studies to support data-driven decisions.
• Partner with Product and Editorial teams to identify analytics opportunities and translate business questions into analytical solutions.
• Build and maintain dashboards, reporting systems, and self-service analytics tools.
• Ensure proper instrumentation, event tracking, and data quality validation, working with Product to maintain data integrity.
• Lead the exploration and implementation of generative AI and LLM applications, including content analysis, personalization engines, and automated workflows.
• Evaluate emerging AI/ML technologies and frameworks for applicability to business needs.
• Build, manage, and mentor a high-performing team of data engineers, data scientists, and analytics professionals.
• Partner with Product, Editorial, Engineering, and Business teams to understand data needs, define success metrics, and deliver scalable solutions aligned with organizational goals.
• Promote data-driven decision-making and communicate complex technical concepts to non-technical stakeholders.

Benefits

• Flexible paid vacation, subject to duties, company needs, and obligations.
• Seven paid holidays per calendar year.
• Up to 160 hours of paid wellness time annually for the employee or family members.
• Bereavement leave.
• Time off to vote.
• Jury duty leave.
• Volunteer time off.
• Military leave.
• Parental leave.
• Health care insurance may include medical, dental, and vision coverage.
• Retirement planning, including a 401(k), may be offered.
• Paid days off may include sick leave, parental leave, flexible vacation, wellness days, and/or PTO.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior