Senior Analytics Lead for Investment Data & Innovation

PNC Financial Services Group, Inc.; Pittsburgh (Allegheny County); Hybrid; USD 91,000 - 203,000; Full time

Benefits offered by this job

Medical benefits

Dental & vision options

401(k) with match

Pension and stock purchase plans

Job summary

PNC Financial Services Group, Inc. is seeking a Senior Business Analytics Lead for the Investment Data & Innovations organization. Based in Pittsburgh, Philadelphia, Cleveland, Tyson's Corner, or Washington, D.C., you will lead the analytics processes across multiple functions and mentor junior staff.

You will design scalable data architectures, implement data governance, and develop data-driven applications, APIs, and dashboards to enable executive-level decision making.

Qualifications

• Experience with investment data management and enterprise data governance.
• Experience building enterprise data warehouses and investment data platforms.

Responsibilities

• Lead development of a centralized investment data warehouse and governed single source of truth.
• Design scalable data architecture with governance, quality, lineage and lifecycle management.
• Build data pipelines for ingestion, transformation and distribution from multiple sources.
• Develop analytical solutions for senior leadership to drive data-driven decisions.

Skills

Investment management

Data governance

SQL

Python

ETL/ELT

API development

Tableau/Power BI

Data modeling

Cloud platforms

Stakeholder mgmt

Education

Bachelor's degree in CS/IT/Data Science/Engineering/Finance/Business

8+ years of relevant experience

Tools

Oracle Database

Hadoop/Big data tech

Teradata/Trino/Apache Iceberg

Job description

PNC Financial Services Group, Inc. is seeking a Senior Business Analytics Lead for the Investment Data & Innovations organization. Based in Pittsburgh, Philadelphia, Cleveland, Tyson's Corner, or Washington, D.C., you will lead the analytics processes across multiple functions and mentor junior staff.

You will design scalable data architectures, implement data governance, and develop data-driven applications, APIs, and dashboards to enable executive-level decision making.