Product Strategy & Vision:  

• Develop and communicate a clear vision and strategy for data products that support the Growth Analytics team’s objectives. 

• Align data product strategies with overall business goals and marketing initiatives. 

• Identify new opportunities for leveraging data to improve marketing effectiveness and customer insights. 

Product Development & Management:  

• Develop product business and technical requirements, collaborating with data engineers, analysts, and other stakeholders to develop and launch data driven products and features. 

• Define and prioritize the product backlog, creating detailed user stories and acceptance criteria. 

• Manage the end-to-end lifecycle of data products, from ideation to sunset, ensuring continuous improvement and high user adoption and utilization. 

Stakeholder Collaboration:  

• Act as the primary liaison between the marketing team and technical teams, ensuring clear communication of product requirements and priorities. 

• Work with marketing teams to understand their needs and translate them into actionable data product features. 

• Engage with key stakeholders to gather feedback and ensure data products are meeting business needs. 

Performance & Analytics:  

• Define key performance indicators (KPIs) for data products and track their performance to ensure they deliver the expected business value. 

• Identify and implement data science and modeling use cases for data products and assets 

• Utilize data analytics to inform product decisions, validate hypotheses, and identify areas for improvement. 

• Strong data science skills to perform EDA and partner with data engineering to product enhancements, exploratory data analysis, among others. 

Leadership & Advocacy:  

• Champion the use of data within the marketing team, promoting data driven decision making. 

• Provide guidance and mentorship to team members on best practices for data product management. 

• Stay current with industry trends and emerging technologies in data and digital marketing. 

Required Qualifications:  

• Bachelor’s degree in a related field (e.g., Marketing, Data Science, Business, or Computer Science). 

• 5-7 years of experience in data science and product management, with a focus on data products, ideally within a marketing or digital environment. 

• 7+ years of work experience

• Strong understanding of digital marketing concepts, tools, and strategies. 

• Proven capability of working in complex data environments with large structured and unstructured datasets. 

• Proficient in data science (e.g., SQL, Python, R) and visualization tools (e.g., Tableau, React). 

• Applied knowledge of advanced analytics tools and methodologies (Regression, Classification, Natural Language Processing, AI) to analyze large data sets from multiple data sources, build models, and develop consumer segmentation. 

• Experience working with cross functional teams in an Agile environment. 

• Excellent communication, organizational, and influential leadership skills. 

• Ability to translate complex technical concepts into easy-to-understand language for non-technical stakeholders. 

 Preferred Qualifications:  

• Master’s degree in a related field (e.g., Marketing, Data Science, Business, or Computer Science). 

• Certification in Agile methodologies (e.g., Certified Scrum Product Owner). 

• Familiarity with data privacy regulations (e.g., HIPPA, CCPA) is a plus.