Location: Yonkers NY
As Associate Director Customer Data Platforms and Analytics Engineering you will be responsible for implementing and operationalizing the evolution of Consumer Reports Customer Data Platforms (CDPs) Analytics Engineering & Business Intelligence capabilities for analysis-ready datasets reports and services to augment decision-making drive customer acquisition/retention and power personalization initiatives. This role will report to the Director of the team while mentoring and managing others.
This is a hands-on leadership role where you will develop optimize and scale data capabilities while mentoring engineers and ensuring high-quality analytics-ready data.
- Customer Data Platforms (CDPs): Develop maintain and optimize CDPs to collect unify enrich and activate customer data across multiple channels-enabling a 360-degree customer view to support product and marketing initiatives.
- Analytics Engineering: Build and optimize scalable data pipelines across lakehouses data warehouses and curated data marts ensuring clean high-quality and analytics-ready datasets that serve diverse organizational needs.
- Personalization: Leverage first-party data and behavioral segmentation to drive tailored consumer experiences and power data-driven personalization strategies across digital products and marketing channels.
- Business Intelligence (BI): Build and maintain BI platforms and tools ensuring seamless integration of curated datasets to support data-driven decision-making across teams
Skills:
- Masters degree in a STEM field and bring at least 7 years of experience in Customer Data Platforms (CDPs) including 3 years of managing high-performing teams.
- Expertise in Python SQL and Unix Shell Scripting leveraging them for data transformation automation and analytics engineering.
- comprehensive experience in building and scaling large-scale data warehouses and lakes (Databricks Snowflake) on cloud platforms (AWS) designing ETL/ELT pipelines and developing BI platforms (Tableau Domo D3 etc.)
- You translate complex technical data concepts into actionable business insights making them understandable for both technical and non-technical stakeholders.
Desired Skills:
including data privacy laws regulations (e.g. GDPR CCPA) and privacy-by-design principles to balance compliance and innovation
experience with AI-driven personalization leveraging machine learning models recommendation systems and behavioral analytics to power real-time hyper-personalized experiences