OverviewIn this Director role at CJ, you will lead a team of Data Scientists, Analysts, and Data Engineers, developing scalable data science, AI, and analytics solutions that advance marketing science and innovation across the advertising industry. As a hands-on technical leader, you will balance team management and mentorship with direct involvement in solution architecture, development, and delivery.
You will lead a team of 4+ technical professionals while overseeing complex, long-term initiatives spanning Data Science, Engineering, Product, and other business functions. You will help shape and execute the technical roadmap, delivering solutions that improve marketing measurement, optimization, and intelligence for the business and its clients.
This role is ideal for someone who combines deep technical expertise with strong leadership skills and enjoys translating complex business challenges into scalable, production-ready solutions.
Responsibilities- Team Leadership: Lead, mentor, and develop a team of 4+ Data Scientists, Analysts, and Data Engineers, providing technical direction, managing priorities, and supporting professional growth.
- Data Products & Analytics: Oversee the development and delivery of scalable data products and analytics solutions across affiliate marketing, influencer marketing, and emerging advertising channels, enabling actionable insights for internal teams and clients.
- Data Architecture & Engineering: Manage Databricks data architecture, including source-level tables, ETL/ELT pipelines, and production workflows, ensuring data quality, reliability, and performance.
- Data Integrations & Delivery: Lead the design and implementation of data integrations and delivery solutions, including APIs, SFTP, and Model Context Protocol (MCP) connections, supporting internal platforms and external clients.
- Machine Learning & Modeling: Oversee the development and deployment of machine learning models for attribution, forecasting, fraud detection, anomaly detection, recommendation systems, and marketing optimization.
- Tracking & Attribution: Partner with Engineering and Product teams to enhance digital tracking infrastructure, event collection, conversion tracking, and attribution methodologies across advertising channels.
- AI & Automation: Drive AI innovation through the development and integration of LLM-powered applications, conversational analytics, and automation solutions that improve operational efficiency.
Qualifications- 10+ years of experience in Data Science and Analytics, or related technical disciplines, with strong proficiency in SQL and Python, PySpark, or Scala, and experience developing production-ready solutions.
- 3-5 years of experience managing and developing technical teams, including Analysts, Data Scientists, and Data Engineers.
- 2+ years of hands-on experience with Databricks, including developing scalable data pipelines, workflows, and analytics, machine learning, and AI solutions.
- Experience developing and deploying machine learning models, including forecasting, recommendation systems, fraud detection, anomaly detection, and optimization.
- Experience in AdTech, MarTech, or digital advertising, including knowledge of tracking technologies and attribution methodologies, ideally within e-commerce, travel, or financial services.
- Experience developing AI-driven solutions, including LLM-based applications and Generative AI technologies.
- Strong technical architecture, problem-solving, and leadership skills, with the ability to remain hands-on while mentoring a technical team.
- Strong communication skills, with the ability to explain technical concepts and collaborate with stakeholders across the organization.
Preferred Qualifications
- Experience in marketing science and experimentation, including Marketing Mix Modeling (MMM), media budget optimization, elasticity testing, and incrementality measurement.
- Experience designing and optimizing ETL/ELT pipelines and scalable data workflows.
- Experience applying machine learning to advertising use cases, including audience segmentation, campaign optimization, customer behavior modeling, and marketing effectiveness.
- Experience in affiliate marketing, influencer marketing, performance media, or campaign management, with an understanding of partner ecosystems and campaign measurement.
Additional informationThis is a hybrid role requiring 3 days a week in office.
Compensation Range: USD $135,375.00 - USD $194,460.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/1/2027.
