Lead Data Scientist, Data & Automation - Evaluation & Certification (Validation)

PNC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Pittsburgh, PAStrongsville, OHBirmingham, ALDallas, TX
Salary
$112,000–$228,800 / yr
Employment
Full-time
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k
This role $170k
$98k most similar roles pay here $243k

This role pays more than 57% of similar roles. Most pay $127,903–$204,400 — the shaded band above. At the midpoint, this role pays about $170k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 127 open roles on FindRole.

Listed pay typically runs $94,875–$172,500 across 7 roles with salary data.

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At a glance

TL;DR · Lead Data Scientist, Data & Automation - Evaluation & Certification (Validation)

Data Scientist Lead - Data & Automation - Evaluation & Certification (Validation) serves as the accountable owner for the enterprise portfolio of AI solution validation and assurance activities within the Data & Automation — AI Governance & Oversight organization. This role involves evaluating AI solutions prior to release, making go/no-go decisions based on risk-aligned requirements, and overseeing post-deployment monitoring of performance, risk, and safety metrics. The individual will provide technical expertise in data mining, machine learning, and modeling while collaborating with architects and engineers to develop data-driven solutions from structured and unstructured datasets. Key competencies include analytical thinking, information capture, and query and database access tools. This position addresses the critical business problem of ensuring AI lifecycle compliance and safety through rigorous validation standards and consistent adherence to enterprise risk management policies for complex automated systems.

What you'll do

  • Own the enterprise portfolio of AI solution validation and assurance activities.
  • Evaluate AI solutions prior to release and make go/no-go decisions based on risk requirements.
  • Monitor post-deployment performance, risk, and safety metrics while leading remediation for threshold breaches.
  • Ensure compliance with validation and governance requirements throughout the entire AI lifecycle.
  • Serve as a technical authority on AI validation standards and enterprise policy adherence.
  • Direct data gathering, processing, and mining of large, complex datasets to extract actionable insights.
  • Provide technical expertise to advance data science capabilities across various analytics teams.
  • Supervise the implementation of advanced analytics projects and present outcomes to management.

What we're looking for

  • A university or college degree is typically required for this role.
  • A Master’s degree, PhD, or professional certifications are desirable (preferred).
  • Candidates should possess 8 or more years of industry-relevant experience.
  • Expertise in data science, machine learning, and data mining is required.
  • Proficiency in data architecture, modeling, and query and database access tools is required.
  • Experience with analytical thinking and identifying competitive advantages is preferred.
  • Ability to manage risk and ensure compliance with enterprise risk management frameworks is required.
  • Candidates must be able to provide thought leadership on AI validation standards and governance.

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