Senior Data Science Manager - Marketing & Customer Analytics jobs in United States
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PNC · 3 months ago

Senior Data Science Manager - Marketing & Customer Analytics

PNC is a leading financial services company that values its employees as its greatest differentiator. The Senior Data Science Manager will lead the Marketing Data Enablement team, overseeing the design and maintenance of data platforms and infrastructure that support marketing analytics and campaign management.

BankingFinanceFinancial Services
badNo H1Bnote

Responsibilities

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
Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights
Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business
Recruits, trains, and develops best-in-class Data Scientists
Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination
Oversees relationship with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business

Qualification

Data EngineeringData ArchitectureCloud PlatformsData WarehousingMachine LearningData ModelingSQLData GovernanceAnalytical ThinkingLeadershipCommunication SkillsProblem Solving

Required

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
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

Preferred

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

Benefits

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, unless otherwise required by law
Between 15 to 25 vacation days each year, depending on career level and years of service

Company

PNC is a financial service company providing bank deposits products and services to its community.

Funding

Current Stage
Public Company
Total Funding
unknown
1975-11-17IPO

Leadership Team

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Keith Hayes
SVP, PNC Aviation Finance
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M
Michael Gaber
Senior Vice President - Originations
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