DevOps Engineer

• Provides detailed technical design and development of software solutions using existing and emerging technology platforms.
• Proposes & designs software solutions to address complex business needs.
• Writes code, tests and deploys software.
• Prepares technical and procedural documentation required for software.
• Maintains and debugs software.

Senior Software Engineer – Technical Release, DevOps Management

Data Scientist

• Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions.
• Serves as mentor to more junior employees.
• Consults with clients and mentors consultants on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.
• Determining the optimal analytic approach and supporting development, implementation and enhancements.
• Assists peers with guidance on analytic approaches related to more complex solutions.
• Conceptualizing, developing and continuously optimizing analytical solutions for business leadership to enable data driven decision making.
• Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.

Business Analytics Lead – Digital Analytics

Full-stack Engineer

• Provide L2/L3 production support for business critical applications in a fast paced environment
• Troubleshoot daily issues related to file transmissions, batch job failures, reporting errors, data inconsistencies, and process failures
• Analyze application logs and runtime behavior to identify root causes of defects, bugs, and performance issues
• Communicate incident status, impact, and resolution timelines to Line of Business stakeholders
• Manage incidents to resolution while meeting SLA and compliance requirements
• Coordinate with Change, Infrastructure, Network, and Firewall teams to eliminate recurring production issues
• Review Java application code to identify defects, performance bottlenecks, and required enhancements
• Share technical findings and recommendations with the Application Technical Lead and team
• Analyze functional and data requirements and translate them into technical solutions
• Perform impact analysis for software upgrades, infrastructure changes, and network/firewall updates
• Configure, monitor, and automate batch jobs and cron schedules
• Support and troubleshoot job schedulers including Cron, CA7, and Control M
• Coordinate with infrastructure teams to ensure optimal server utilization and job execution
• Identify and track process improvement initiatives using RTB Jira boards
• Develop automation solutions using Unix based shell, Java, and Python
• Implement and validate production changes including Change Requests, Break fixes, Hot fixes, and Weekly releases
• Perform testing in lower environments and deploy changes to higher environments using GitHub, uDeploy, Artifactory, and CI/CD pipelines

Senior Software Engineer – Production Support

Consultant

• Develop, enhance, and maintain loss forecasting models for Commercial Real Estate portfolios, including PD/LGD and expected loss models
• Perform predictive modeling and machine learning/statistical modeling to assess risk drivers, portfolio behavior, and loss outcomes
• Analyze large and complex datasets using Python and PySpark in distributed computing environments
• Design, implement, test, and monitor models in accordance with model risk management and governance standards
• Produce high quality model documentation, including methodology, assumptions, limitations, and performance analysis
• Partner with Commercial Real Estate, Credit Risk, Finance, and Risk Management stakeholders to translate business needs into quantitative solutions
• Support regulatory reviews, audits, and model validation activities
• Present analytical findings and model results to senior leadership, risk committees, and non technical stakeholders
• Contribute to analytics process improvement, automation, and scalability initiatives
• Explore and apply Generative AI (GenAI) or advanced analytics techniques where appropriate to enhance model development and efficiency

Senior Quantitative Analytics & Model Consultant – Data Model Analytics

Account Manager

• Responsible for relationship management activities with new and/or existing clients in a book of business to grow sales, revenue and market share with relevant sales goals
• With direction, acquires and/or expands and retains client relationships to generate revenue and deepen share of wallet
• Responsible for the origination, financial analysis, negotiation, and documentation of credit and non credit products and services
• Actively identifies and mitigates different types of risk (eg regulatory, reputational, operational, credit, etc)
• Builds an effective network of internal and external relationships (eg community, industry, etc) to actively acquire new clients and/or expand existing clients and enhance the client experience
• Focusing on increasing client engagement and loyalty
• Demonstrates ability to analyze, evaluate and mitigate credit risk by utilizing knowledge of credit fundamentals and internal credit policies

Relationship Manager I – C&IB

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.
• Discuss the leadership role in guiding the MLOps team and collaborating with cross-functional partners.
• Highlight day-to-day responsibilities including pipeline development, infrastructure management, and troubleshooting production ML systems.
• Emphasize opportunities to influence technology strategy and improve ML lifecycle processes.

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

Project Manager

• Lead and manage multiple large-scale projects simultaneously, adjusting delivery approach based on project size and complexity
• Apply Agile methodologies to plan, execute, monitor, and deliver projects successfully
• Partner closely with business stakeholders, technology teams, compliance, and risk partners to ensure alignment and execution
• Navigate and manage bank regulatory requirements and approval processes throughout the project lifecycle
• Proactively identify, manage, and resolve risks, issues, and dependencies
• Utilize Jira to track work, milestones, dependencies, and reporting
• Demonstrate strong conflict resolution and negotiation skills to drive alignment across diverse stakeholder groups
• Communicate project status, risks, and execution plans clearly to senior leadership
• Ensure projects are delivered on time, within scope, and aligned to strategic objectives

Project Manager III – Asset Management Group

Sales

• Positions payment solutions inclusive of card processing and cash management solutions
• Responsible for acquisition and growth of new and/or existing clients through direct marketing and branch distribution network
• Acquires, expands and retains client relationships by presenting a full range of PNC solutions focused on clients payments needs during each customer interaction
• Provides recommendations and insights that support engagement, loyalty and financial well being through each interaction
• Identifies and implements innovative solutions relevant to the the clients processing and cash management needs to support long term growth and retention
• Builds an effective internal network within the branch distribution enterprise in order to actively acquire new clients along with expanding existing clients
• Regularly meets with internal business partners to communicate and review pipeline management and accountability to the results of the business

Virtual Payment Advisor – Merchant Services, Business Banking Sales

• Provide L2/L3 production support for business critical applications in a fast paced environment.
• Troubleshoot daily issues related to file transmissions, batch job failures, reporting errors, data inconsistencies, and process failures.
• Analyze application logs and runtime behavior to identify root causes of defects, bugs, and performance issues.
• Communicate incident status, impact, and resolution timelines to Line of Business stakeholders.
• Manage incidents to resolution while meeting SLA and compliance requirements.
• Coordinate with Change, Infrastructure, Network, and Firewall teams to eliminate recurring production issues.
• Review Java application code to identify defects, performance bottlenecks, and required enhancements.
• Share technical findings and recommendations with the Application Technical Lead and team.
• Perform impact analysis for software upgrades, infrastructure changes, and network/firewall updates.
• Configure, monitor, and automate batch jobs and cron schedules.
• Develop automation solutions using Unix based shell, Java, and Python to:
• Monitor files and processes
• Create early warning alerts
• Automate recurring operational tasks
• Implement and validate production changes including:
• Change Requests, Break fixes, Hot fixes, and Weekly releases
• SSO implementations
• Security vulnerability remediation
• Vendor deployments
• OS and database patching.

Software Engineer Lead – Production Support

Backend Engineer

• Creates and leads the technical design and development of software solutions.
• Proposes & designs software solutions to address complex business needs.
• Prepares technical and procedural documentation required.
• Facilitates complex problem resolution.
• Provides technical guidance and support to colleagues.
• Reviews coding, testing, and documentation of software.
• Applies modern principles, methodologies and tools to advance business initiatives and capabilities.

Software Engineer Lead – Rest API Developer

Analyst

• Assists in the execution of a quality control program within a defined department of the organization
• Under supervision, enables adherence with quality management programs
• Assists in the execution of the quality program, identifying opportunities for enhancement where applicable
• Supports the development and continuous improvement of the quality management system
• Generates reports for distribution to various users in the organization, customers, or suppliers
• Leads quality improvement initiatives; works to develop and improve quality levels; provides training, coaching and feedback
• Provides conclusions and recommendations for issues and/or continuous improvement projects
• Conducts quality analysis; identifies systemic issues, executes on effective root cause analysis and corrective actions
• Supports the development of quality assurance strategies, processes, guidelines and control plans which assure quality and reliability of products and services

Senior Quality Analyst

Infrastructure Engineer

• Provides expertise on platform engineering, while overseeing the team's effort and meeting customer needs.
• Uses technical knowledge and industry experience to design, build and maintain technology solutions.
• Develops software components and hardware for complex projects; aligns these with business strategies and objectives.
• Provides expertise on best practices, standards, engineering approaches and complex technical resolutions for processes.
• Places emphasis on quality improvement efforts; ensures that deliverables are secure, scalable and reliable through estimation and correction.
• Communicates with customers and integrates their needs with development, to meet business objectives.

Senior Infrastructure Engineer – Digital Workplace Desktop Engineering

Communications

• Design, manage and execute robust and holistic communications programs
• Work closely with regional presidents and other local leaders
• Serve as the primary contact for assigned markets media
• Support the corporation's external responses to regional issues and media questions
• Develop and write stories, op eds, remarks and talking points
• Leverage data and results to inform approach
• Promote a high-performance culture built on teamwork, trust and a commitment to quality

Communications Lead – Regional Communications

Systems Engineer

• Participates in analyzing business requirements and production specifications for changes made to technology applications.
• Formulates and defines the system scope and objectives, based on user needs and business processes.
• Directs business process improvement projects for internal business groups, aiming to improve business results.
• Identifies and documents all system constraints, implications and consequences of various proposed system changes.
• Provides recommendations for addressing and resolving business issues, for a specific business group.

Senior Business Systems Analyst

Scrum Master

• support Agile delivery within a Financial Services environment
• lead high performing Scrum teams delivering secure, compliant, and customer focused solutions
• serve as a servant leader and Agile coach, partnering closely with Product, Technology, Risk, and Compliance teams
• draw on past experience, support and facilitate a number Scrum Team(s) with varying levels of complexity
• ensure team adherence to Agile principles
• provide coaching to the team(s), including newly formed teams, on how to execute the Scrum Framework
• organize and facilitate ceremonies, recommend and execute on improvement opportunities to optimize velocity and mitigate risk
• track and communicate the overall team progress providing visibility to stakeholders
• take a broader perspective to provide solutions to complex challenges
• serve as a filter to remove impediments to progress identified by the team(s)