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

PNC•Strongsville, OH
•$112,000 - $228,800•Onsite

About The Position

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 Data Scientist Lead within PNC's Data & Automation — AI Governance & Oversight organization, you will be based in Pittsburgh PA, Strongsville, OH, Dallas, TX or Birmingham, AL. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Requirements

  • Roles at this level typically require a university / college degree.
  • Higher level education such as a Masters degree, PhD, or certifications is desirable.
  • Industry relevant experience is typically 8+ years.
  • Specific certifications are often required.
  • In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

  • Analytical Thinking
  • Competitive Advantages
  • Data Analytics
  • Data Mining
  • Data Science
  • Machine Learning (ML)
  • Data Architecture
  • Disruptive Innovation
  • Information Capture
  • Machine Learning
  • Modeling: Data, Process, Events, Objects
  • Prototyping
  • Query and Database Access Tools

Responsibilities

  • Serves as the accountable owner for the enterprise portfolio of AI solution validation and assurance activities.
  • Evaluates AI solutions prior to release and makes certification and go/no-go decisions based on risk-aligned validation requirements and controls.
  • Oversees post-deployment monitoring of AI performance, risk, and safety metrics, leading escalation, remediation, and issue resolution for threshold breaches.
  • Partners closely with solution owners and delivery teams to ensure compliance with validation and governance requirements throughout the AI lifecycle while enabling timely delivery.
  • Acts as a trusted advisor and authority on AI validation standards, driving consistent adherence to enterprise policies and risk management expectations.
  • Operates as a senior individual contributor with enterprise-wide program leadership responsibilities and executive visibility. Influence and decision-making authority are derived from governance accountability and subject matter expertise rather than direct people management.
  • Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  • Directs the data gathering, data processing and data mining of large and complex datasets.
  • Provides deep technical expertise to advance the data science capabilities of analytics teams.
  • Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.
  • Supervises the implementation of advanced analytics projects, and as an expert in the field, helps other data scientists present the analytical processes and outcomes to management.
  • Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

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
  • 9 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
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