Director, Marketing Data Science - Product & Technolog

Key Skills

Data Lake, Data science techniques, Data Warehousing, Infrastructure as code, Machine learning techniques, Marketing analytics, MLOps tools

Job Description

Reporting to the Senior Vice President of Marketing Data Science & Technology, this role will be the point of contact for Marketing Data Science with the Technology & Product organizations. This seasoned professional will be responsible for driving the entire marketing data science product and technology agenda, in collaboration with Product and Technology organizations. This person will interface with the data engineering and ML Ops teams to enable the right data ecosystem for the Marketing data science organization. This person will take a direct role in building and designing critical aspects of a mature and growing marketing tech stack, developing analytics pipelines and assets, implementing machine learning tools, and contributing to the spread of insight and best practice throughout the organization.

Responsibilities:

• Data Infrastructure and Technology: Collaborate with Technology teams (data engineering and product) to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security. Ensure the right data ecosystem (data lake, data warehouse, softwares etc.) is built and maintained by the Tech teams to enable Marketing data scientists to conduct analysis and build models with ease.

• Model Implementation: Collaborate with the ML Ops teams to ensure the right model implementation infrastructure is in place for the marketing modelers.

• Data Science Tools: Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data-driven marketing and pricing capabilities.

• Data Assets: Evaluate external 3rd party data assets to enhance understanding of our customers and prospects better.

• Stakeholder Collaboration: Collaborate closely with cross-functional teams, including Marketing, Technology and Product

You Have:

• 10+ years experience in Data Science, Marketing Analytics, Marketing Technology

• Degree in a quantitative field such as Data Science, Computer Science, or related disciplines.

• Deep understanding of marketing technology, data systems, data science tools/ software and cloud infrastructure

• Experience in the Media industry with a focus on subscriptions is a plus

Our Benefits

• Comprehensive Healthcare Plans

• Paid Time Off

• Retirement Plans

• Comprehensive Insurance Plans

• Lifestyle programs & Wellness Resources

• Education Benefits

• Family Care Benefits & Caregiving Support

• Commuter Transit Program

• Subscription Discounts

• Employee Referral Program

Learn more about all our US benefits

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .

Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at TalentResourceTeam@dowjones.com. Please put Reasonable Accommodation in the subject line. This inbox will not be monitored for application status updates.