Data Science Manager Sr at The PNC Financial Services Group
Philadelphia, PA 19019
About the Job
Position OverviewAt 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 Machine Learning Engineering Mgr Sr you will work within PNC's AI and Intelligent Automation Center. You will be based in Pittsburgh, Cleveland, Birmingham, Dallas, Philadelphia, New York or New Jersey. The AI and Intelligent Automation Center 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. Essential Skills and Experience:
• Experience in data science, machine learning, or a related field.
• Experience leading and managing a team of data scientists.
• Strong background in statistical analysis, predictive modeling, and advanced data exploration techniques.
• Proficient in programming languages like Python, R, or Scala, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with distributed computing frameworks such as Spark for handling large datasets.
• Excellent problem-solving and critical thinking skills, with the ability to break down complex problems and devise effective solutions.
• Strong interpersonal and communication skills, including the ability to present technical concepts to both technical and non-technical stakeholders.
• Proven ability to define data science strategy and align it with broader business objectives.
• Experience in Agile project management methodologies, including setting goals, defining milestones, and tracking progress.
• Understanding of the latest trends and best practices in data science and machine learning, including the use of generative AI models.
• Experience in building and managing end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
• A strong advocate for a collaborative, inclusive work environment that encourages knowledge-sharing and continuous learning.Desired Skills and Experience:
• Understanding of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and experience with deploying and managing data science models in production.
• Familiarity with data engineering and the ability to work with data engineers to build scalable and efficient data pipelines.
• Experience in leading and mentoring junior data scientists, including providing feedback and guidance for professional development.
• Strong business acumen and the ability to align data science initiatives with organizational goals and strategies.
• Extensive experience leveraging generative AI models (e.g., GPT-3, DALL-E) to optimize workflows and drive innovation within the team.Job DescriptionOversees 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.QualificationsSuccessful 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 SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles 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.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $80,000.00 – $224,250.00Salaries 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 WindowGenerally, this opening is expected to be posted for two business days from 01/25/2024, although it may be longer with business discretion.BenefitsPNC 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 WorkPNC Full-Time Benefits SummaryPNC Part-Time Benefits SummaryDisability Accommodations StatementIf an accommodation is required to participate in the application process, please contact us via email at
• Experience in data science, machine learning, or a related field.
• Experience leading and managing a team of data scientists.
• Strong background in statistical analysis, predictive modeling, and advanced data exploration techniques.
• Proficient in programming languages like Python, R, or Scala, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with distributed computing frameworks such as Spark for handling large datasets.
• Excellent problem-solving and critical thinking skills, with the ability to break down complex problems and devise effective solutions.
• Strong interpersonal and communication skills, including the ability to present technical concepts to both technical and non-technical stakeholders.
• Proven ability to define data science strategy and align it with broader business objectives.
• Experience in Agile project management methodologies, including setting goals, defining milestones, and tracking progress.
• Understanding of the latest trends and best practices in data science and machine learning, including the use of generative AI models.
• Experience in building and managing end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
• A strong advocate for a collaborative, inclusive work environment that encourages knowledge-sharing and continuous learning.Desired Skills and Experience:
• Understanding of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and experience with deploying and managing data science models in production.
• Familiarity with data engineering and the ability to work with data engineers to build scalable and efficient data pipelines.
• Experience in leading and mentoring junior data scientists, including providing feedback and guidance for professional development.
• Strong business acumen and the ability to align data science initiatives with organizational goals and strategies.
• Extensive experience leveraging generative AI models (e.g., GPT-3, DALL-E) to optimize workflows and drive innovation within the team.Job DescriptionOversees 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.QualificationsSuccessful 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 SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles 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.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $80,000.00 – $224,250.00Salaries 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 WindowGenerally, this opening is expected to be posted for two business days from 01/25/2024, although it may be longer with business discretion.BenefitsPNC 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 WorkPNC Full-Time Benefits SummaryPNC Part-Time Benefits SummaryDisability Accommodations StatementIf 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.SummaryLocation: PA - Pittsburgh (15222); Birmingham - Brock (AL112); NY - New York; Dallas Innovation Center - Luna Rd (TX270); PA - Philadelphia; Strongsville Technology Center (OH537); NJ - Cherry HillType: Full time 