PNC is looking to grow its Marketing Data Enablement team by hiring a Senior Data Science Manager to lead the design, development, and maintenance of core data platforms, pipelines, and infrastructure that power marketing analytics, campaign management, and personalization initiatives.
Requirements
- Deep expertise in data warehousing, data modeling, and data lake architectures.
- Proficiency in modern data processing frameworks and tools (e.g., Spark, Kafka).
- Extensive experience with cloud-based data platforms (AWS, Azure) and related services (e.g., S3, Redshift, Glue, Big Query, Dataflow).
- Expertise in SQL and at least one programming language (Python, Java, or Scala).
- Solid understanding of ETL/ELT methodologies and orchestration tools (e.g., Airflow, dbt).
- Direct experience with Adobe Technology Stack, i.e., AEP, CJA, AJO etc. is a significant plus.
- Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
Responsibilities
- Design, build, and maintain scalable, reliable, and secure data pipelines and data warehouses (e.g., in a cloud environment like AWS, Azure).
- Evaluate and select new technologies and tools to enhance our data infrastructure and capabilities.
- Establish and enforce best practices for data modeling, ETL/ELT processes, data quality, and metadata management.
- Oversee the day-to-day operations of the data platform, including monitoring, troubleshooting, and incident response.
- Implement and maintain robust data governance frameworks to ensure data integrity, security, and privacy.
- Drive automation and efficiency in data engineering processes.
- Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Other
- Lead, mentor, and grow a team of marketing data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Set team goals and objectives, conduct performance reviews, and manage career development plans for team members.
- Allocate resources effectively to ensure projects are delivered on time and within budget.
- Develop and execute the marketing data engineering strategy and roadmap in alignment with the bank's growth objectives.
- Partner closely with data scientists, business intelligence analysts, and product managers to understand their data needs and provide them with the necessary data solutions.
- Communicate complex technical concepts and project updates to both technical and non-technical stakeholders, including senior leadership.
- Work with our cybersecurity and compliance teams to ensure all data engineering practices adhere to banking regulations.
