AI Governance Lead – Data Science & Validation

PNC Financial Services Group, Inc.; Birmingham (AL); On-site; USD 112,000 - 229,000; Full time

Job summary

PNC Financial Services Group, Inc. is seeking a Data Scientist Lead to drive enterprise AI solution validation and governance across the AI lifecycle.

The role requires leveraging large-scale data, coordinating with solution owners and delivery teams, and maintaining executive visibility within PNC. The position is based in Pittsburgh, Strongsville, Dallas or Birmingham, and emphasizes risk-aligned validation, certification decisions, and post-deployment monitoring of AI performance and safety

Qualifications

• University/college degree required; 8+ years industry experience typical; higher degrees or certifications desirable.
• In lieu of a degree, a comparable combination of education, certifications and experience may be considered.
• Certifications are not strictly required for this role.

Responsibilities

• Directs and consults on analytical projects that leverage vast amounts of data to extract actionable insights.
• Directs data gathering, processing and mining of large datasets; provides deep technical expertise to analytics teams.
• Represents PNC and provides thought leadership around data science activities internally and externally.
• Supervises advanced analytics projects; helps other data scientists present processes and outcomes to management.
• Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions.

Skills

Analytical Thinking

Competitive Advantages

Data Analytics

Data Mining

Data Science

Machine Learning

Education

Masters

Job description

PNC Financial Services Group, Inc. is seeking a Data Scientist Lead to drive enterprise AI solution validation and governance across the AI lifecycle.

The role requires leveraging large-scale data, coordinating with solution owners and delivery teams, and maintaining executive visibility within PNC. The position is based in Pittsburgh, Strongsville, Dallas or Birmingham, and emphasizes risk-aligned validation, certification decisions, and post-deployment monitoring of AI performance and safety