Data science group manager automation Job at PNC, Birmingham, AL

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  • PNC
  • Birmingham, AL

Job Description

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(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position].

Job Profile

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 Group Mgr you will work within PNC's AI and Intelligent Automation Center. You will be based in Pittsburgh, Strongsville, Dallas, Birmingham, Philadelphia, New Jersey or New York.

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 Group Manager 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

  • Manages the priorities and strategy of data science activities.
  • Provides senior 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 team(s) of Data Scientists.
  • Works with executive leadership to identify data science project opportunities and leads planning activities including budget and scope determination.
  • Oversees relationship with business and technology teams 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.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning

Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

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-relevant experience is typically 8+ years. At least 5 years of prior management experience is typically required. Proven leadership experience with a moderate to large scope of responsibility is required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education Masters

Certifications No Required Certification(s)

Licenses No Required License(s)

Pay Transparency

Base Salary: $130,000.00 – $254,150.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 07/17/2024, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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.

In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 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.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncbenefits.com > New to PNC.

*For more information, please click on the following links:

Time Away from Work

PNC Full-Time Benefits Summary

PNC Part-Time Benefits Summary

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

About the Company:
PNC Financial Services Group

Job Tags

Holiday work, Full time, Temporary work, Part time, Work experience placement,

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