Account Manager

• Develop, grow, maintain, and support PNC Dealer Finance’s indirect auto business in assigned market
• Manage strategic performance and reporting for assigned market
• Train and enhance indirect dealer relationships with strong consultative skills
• Have exceptional verbal and written skills to sell indirect auto program
• Demonstrate knowledge and proficiency in using customer relationship management system (EDGE)
• Ability to live the values of PNC – Teamwork, Respect, Quality of Life, Performance, Integrity, Diversity & Inclusion, Customer Focus

Dealer Relationship Manager I – Indirect Auto

Product Manager

• Own the vision, roadmap, and value delivery for PNC’s enterprise Data Quality products
• Serve as the voice of customers and stakeholders across Data, Risk, Technology, and Governance
• Manage and prioritize the product backlog; define clear outcomes, acceptance criteria, and success metrics
• Partner with Scrum teams and technical owners to ensure delivery aligns to intent
• Shift the organization from manual data checks toward sustained, scalable data quality capability management

Product Owner II – Data and Automation

Affiliate Manager

• Partner with Lines of Business (LOB) and Technology teams to develop and complete the Initiative Approval Package
• Conduct detailed reviews of initiative spend
• Communicate directly with LOB partners to manage initiative change requests
• Collaborate closely with PMs to support initiative review calls
• Prepare and present updates to senior leadership

Senior Business Technology Partner

• Owns the vision and the definition of the product
• Serves as the voice of the customer
• Provides guidance to concentrate the Scrum Team(s) effort on correct priorities based on business value
• Defines and conveys the vision to the team(s) in order to address client requirements to meet business objectives
• Accountable for the creation of and the integrity of the product backlog
• Prioritizes and leads grooming of the product backlog
• Works in partnership with the Scrum Master(s) to ensure items are worked on in accordance with the product backlog
• Serves as the primary point of contact for questions from the team(s)
• Accepts delivery of working product from the Scrum Teams(s)
• Reviews and validates Scrum Team(s) working product
• Socializes the delivery of business value and outcomes of the iteration to various stakeholders

Product Owner II

Machine Learning Engineer

• Lead and mentor a team of MLOps engineers to design, develop, and maintain scalable machine learning infrastructure and deployment pipelines.
• Collaborate cross-functionally with data scientists, software engineers, and product teams to operationalize ML models and ensure robust, reliable production systems.
• Drive best practices in CI/CD, automation, monitoring, and cloud infrastructure management specific to ML workflows.
• Serve as a technical expert and functional lead in MLOps, influencing architecture decisions and technology adoption.
• Contribute to strategic planning and continuous improvement of ML lifecycle management processes.

Lead Software Engineer – Data, Automation, Machine Learning Operations Technology

QA Engineer

• Promote and enforce best practices across all aspects of testing, including manual and automated testing
• Collaborate with product owners, developers, architects, and other stakeholders to integrate quality early in the SDLC
• Define, maintain, and ensure alignment of the test strategy with business objectives and technical requirements
• Play an active role in testing activities during sprint execution and release cycles
• Ensure appropriate test coverage and quality gates are in place throughout development and deployment
• Produce and maintain required test artifacts for releases
• Identify, communicate, and escalate risks when quality may be compromised
• Drive continuous improvement in testing processes, tools, and metrics
• Support and guide teams in adopting effective automation strategies
• Provide leadership, mentoring, and support to QE and testing team members

Quality Assurance Manager

Full-stack Engineer

• Design, develop, and maintain policy-as-code solutions that enable automated governance and compliance.
• Build and enhance applications using JavaScript and modern frameworks (preferably Vue, with Angular or React as alternatives).
• Develop and integrate RESTful APIs and microservices to support policy enforcement and automation workflows.
• Collaborate with DevSecOps and pipeline engineering teams to embed policies into CI/CD pipelines.
• Work with containerized and cloud-native environments using Docker, Kubernetes, and cloud platforms such as AWS or Azure.
• Apply UI/UX design principles to deliver intuitive, user-friendly interfaces.
• Participate in Agile development processes, including sprint planning, backlog refinement, and code reviews.
• Mentor junior engineers and contribute to technical best practices and standards.
• Troubleshoot, debug, and optimize systems for performance, reliability, and scalability.

Senior Software Engineer

Data Scientist

• Leads the implementation of 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
• Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management
• Leads analytical experiments in a methodical manner to find opportunities for product and process optimization
• Presents business insights to management using visualization technologies and data storytelling
• Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business

Senior Data Scientist

• 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.

Lead Data Scientist

Data Analyst

• Apply advanced analytics techniques to solve complex business and revenue problems.
• Design, develop, and enhance analytical models, demonstrating a strong understanding of modeling and model development.
• Build and maintain scalable analytical solutions using Python, SQL, and/or R.
• Support testing, validation, and continuous improvement of analytical models.
• Build and manage advanced data models and data pipelines using SQL, Python, and/or R.
• Perform data querying, analysis, and reconciliation across multiple data sources to ensure data accuracy and integrity.
• Optimize data structures, workflows, and processes to support analytics and reporting at scale.
• Lead the design, automation, and optimization of executive level dashboards and reporting, primarily using Tableau.
• Develop high quality dashboards and data visualizations using Tableau and/or Power BI.
• Ensure dashboards are performance optimized, user friendly, and tailored to senior leadership needs.
• Analyze revenue trends, drivers, and opportunities to inform strategic decision making.
• Partner with sales and business stakeholders to deliver actionable, data driven recommendations.
• Apply strong judgment, attention to detail, and a consultative mindset when framing insights and recommendations.
• Prepare and deliver executive ready presentations that translate complex analytics into business impact.
• Communicate effectively with senior leaders and cross functional partners.

Business Analytics Lead – C&IB Data Analytics

Systems Engineer

• Partner with business stakeholders to elicit, analyze, document, and validate requirements
• Translate business needs into epics, user stories, functional requirements, and acceptance criteria
• Participate actively in Agile/Scrum ceremonies (backlog grooming, sprint planning, reviews, retrospectives)
• Perform current-state and future-state analysis, including process flows and gap analysis
• Collaborate with engineering teams on API-based integrations and system interfaces
• Support data-related initiatives, including ETL processes and data transformations using Informatica
• Analyze and validate data using SQL and relational databases
• Ensure requirements are traceable, prioritized, and aligned with business and regulatory needs
• Act as a key liaison between business, product, and technical teams

Senior Business Systems Analyst - Agile

Financial Planning and Analysis

• Owns the vision and definition of the product
• Serves as the voice of the Customer
• Responsible for ensuring the Scrum Team(s) effort is concentrated on the right priorities based on business value
• Defines and conveys the vision to the team(s) in order to address client requirements to ensure a successful product based on business value
• Drives the creation of and the integrity of the product backlog
• Leads grooming of the product backlog and ensures the backlog is correctly prioritized based on business value
• Responsible for ensuring the Scrum Master(s) and development team(s), are focused on the right priorities during the development process
• Primary point of contact for questions from the team(s) and is empowered to make decisions
• Accepts delivery of working product from the Scrum Team(s)
• Socializes the delivery of business value and outcomes of the iteration to the stakeholders and clients

Senior Product Owner – Investment Systems, Infrastructure

Analyst

• Reviews and investigates customer cases, reports and work for potential and actual loss
• Minimizes fraud, Anti-Money Laundering and/or organizational risk
• Performs early detection of suspicious activity
• Controls and prevents losses
• May lead the work of and/or train detection and investigation staff
• Researches and analyzes bank activities and reports to detect and prevent possible fraudulent and suspicious activities
• Recommends disposition
• Identifies gaps and control enhancements
• Uses defined research procedures to identify and resolve issues
• Identifies trends and escalates as appropriate
• Follows standards and practices to mitigate fraud, Anti-Money Laundering and other risk exposure and loss
• Shares best practices among the team and/or service partners
• Prepares and maintains appropriate documentation of analysis performed and coordinates with internal or external stakeholders as appropriate

Detection & Investigation Analyst Lead

General Counsel

• Provide legal advice and support to the Retail Operations team focused on third party process, including subpoenas and garnishments
• day to day management of subpoena and garnishment matters
• ongoing review and advice concerning existing processes and legal parameters used by the Retail Operations team to fulfill third-party service items
• management of litigation and regulatory enforcement matters that arise in the Retail Operations space
• conducts research, provides procedural legal advice, and participates in the support and resolution of significant legal matters
• provides enterprise perspective and partnership to inside and outside legal counsel
• reviews and prepares transactional and other routine legal documentation

Counsel – Litigation

Program Manager

• Leads a cross functional program/project team to ensure the execution of organizational programs in support of corporate strategy.
• Leads programs/projects requiring planning and communication across multiple segments, channels, or lines of business.
• Typically, program size may reach or exceed $10m.
• Assists with or manages the general and detailed planning stages of organizational programs; influences project decisions to achieve overall program goals.
• Monitors the program budget while working to ensure success of the program.
• Evaluates the implementation and effectiveness of the programs and recommends enhancements to programs based on results.
• Teams with service partners to ensure seamless delivery and a consistent experience across multiple distribution channels.