PNC-posted 3 months ago
$80,000 - $172,500/Yr
Full-time • Senior
Pittsburgh, PA
5,001-10,000 employees

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Senior Data Science Manager within PNC's Marketing & Customer Analytics organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Charlotte, NC, Tysons Corner, VA, Houston or Dallas, TX or Wilmington, DE. This position is primarily located in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion. We are seeking a highly skilled and experienced Senior Data Science Manager to help grow our Marketing Data Enablement team. This critical leadership role will be responsible for the design, development, and maintenance of our core data platforms, pipelines, and infrastructure that power our marketing analytics, campaign management, and personalization initiatives. The ideal candidate will possess a deep understanding of data architecture, a strong track record of building and managing high-performing teams, and a passion for leveraging data to drive business value in the fast-paced and highly regulated banking industry.

  • 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.
  • 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.
  • 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.
  • 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.
  • Minimum of 7-10 years of experience in data engineering, with at least 3-5 years in a leadership or management role and at least 2-3 years’ experience with data used for marketing use cases.
  • Direct experience with Adobe Technology Stack, i.e., AEP, CJA, AJO etc. is a significant plus.
  • Demonstrated experience in the banking, financial services, or a similarly highly regulated industry.
  • Proven experience building and leading a team of data engineers from strategy to execution.
  • 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).
  • Exceptional leadership and people management skills with a focus on mentorship and team development.
  • Excellent communication, presentation, and interpersonal skills.
  • Strong problem-solving and analytical abilities with a results-oriented mindset.
  • Ability to thrive in a fast-paced, complex, and collaborative environment.
  • Analytical Thinking
  • Competitive Advantages
  • Data Analytics
  • Data Mining
  • Data Science
  • Machine Learning
  • Medical/prescription drug coverage (with a Health Savings Account feature)
  • Dental and vision options
  • Employee and spouse/child life insurance
  • Short and long-term disability protection
  • 401(k) with PNC match
  • Pension and stock purchase plans
  • Dependent care reimbursement account
  • Back-up child/elder care
  • Adoption, surrogacy, and doula reimbursement
  • Educational assistance, including select programs fully paid
  • A robust wellness program with financial incentives
  • Maternity and/or parental leave
  • Up to 11 paid holidays each year
  • 8 occasional absence days each year
  • Between 15 to 25 vacation days each year, depending on career level and years of service
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