Data Science Mgr Sr (Intelligent Automation)

Key Skills

Automation, Business Intelligence, ChatGPT, Data Mining, Data Modeling, Data science techniques, Deep Learning, Effective communication skills, Financial Risk, Generative AI, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Neural Networks

Job Description

Position Overview

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 Science Manager Sr you will work within PNC's Intelligent Automation organization. You will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

The Intelligent Automation sits at the intersection of business, innovation, and artificial intelligence (AI) to enable PNC’s businesses to transform. We solve the bank’s toughest problems while improving customer and employee experiences. As a Center of Excellence (CoE), we work hand in hand with different line of businesses and their technology teams to identify and help deliver high value business opportunities, maintain and enhance AI technologies and capabilities, and bring new AI technologies into the bank.

As a Data Science Manager Sr you will lead a team of data scientists to build high performing machine learning models. Looking for experience with the following: GenerativeAI (GenAI - ChatGPT), Large Language Models (LLM), Natural Language Processing (NLP), Neural Network (NN, CNN), Deep Learning

Job Description

• Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business.
• Recruits, trains, and develops best-in-class Data Scientists.
• Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination.
• Oversees relationship with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

• Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
• Live the Values - Role models our values with transparency and courage.
• Enable Change - Takes action to drive change and innovation that will transform our business.
• Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
• Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.

Competencies

• Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.
• Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.
• Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.
• Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.
• Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.
• Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.

Work Experience

Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.