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Manager Data Mining Jobs (NOW HIRING)

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Management, Data Mining, Data Science, Machine Learning (ML), Microsoft Copilot, Microsoft Power Platform ...

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Management, Data Mining, Data Science, Machine Learning (ML), Microsoft Copilot, Microsoft Power Platform ...

Demonstrated facilities project management skills; like managing meetings, risk, performance, budget, schedules, and adhering to control gates. * Demonstrated data mining and analysis skills to ...

Demonstrated facilities project management skills; like managing meetings, risk, performance, budget, schedules, and adhering to control gates. * Demonstrated data mining and analysis skills to ...

Proven analytic skills, including mining, evaluation, analysis, and visualization * Technical ... Work directly with management and users to gather requirements, provide status updates, and build ...

... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior ...

Data Scientist- Senior

Washington, DC · On-site

$175K - $180K/yr

Managing and merging of disparate data sources, preferably through R, Python, or SQL, statistical analysis, and data mining algorithms. * Should have prior experience with large data, Multi-INT ...

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Manager Data Mining information

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$31K

$97.1K

$172K

How much do manager data mining jobs pay per year?

As of Jun 20, 2026, the average yearly pay for manager data mining in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Manager in Data Mining or related data science roles, starting a career at 40 is feasible, especially with relevant skills, experience, and continuous learning in tools like Python, R, or SQL. Many professionals transition into data roles later in life, and employers value diverse experience and analytical expertise regardless of age.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, education, and location. Senior or specialized data mining roles with advanced skills in tools like SQL, Python, or machine learning can pay higher salaries. Entry-level positions generally start around $40,000 to $50,000.

What is the role of a data mining manager?

A data mining manager oversees the process of analyzing large datasets to extract valuable insights that support business decisions. They coordinate data analysts and data scientists, develop strategies for data collection and analysis, and ensure the use of tools like SQL, Python, or R. The role often requires strong analytical skills, knowledge of data management, and experience with data mining techniques and software.

What is the difference between Manager Data Mining vs Data Analyst?

AspectManager Data MiningData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience in data mining and team managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data mining teams, collaborates with multiple departments, oversees projectsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare industries for strategic insightsCommon across various industries for operational analysis

The main difference is that a Manager Data Mining oversees data mining projects and teams, focusing on strategic implementation, while a Data Analyst primarily conducts data analysis and reporting. Managers handle higher-level planning and coordination, whereas Data Analysts focus on data interpretation and insights.

What is the highest paid job in mining?

In the mining industry, senior roles such as Mining Directors, Chief Geologists, and Operations Managers tend to be the highest paid, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of mining operations, safety standards, and regulatory compliance.
More about Manager Data Mining jobs
What cities are hiring for Manager Data Mining jobs? Cities with the most Manager Data Mining job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Manager Data Mining jobs? States with the most job openings for Manager Data Mining jobs include:
What job categories do people searching Manager Data Mining jobs look for? The top searched job categories for Manager Data Mining jobs are:
Infographic showing various Manager Data Mining job openings in the United States as of June 2026, with employment types broken down into 12% Full Time, 85% Part Time, and 3% Temporary. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


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 Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ.
A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and internal tools that enhance team and departmental workflows. This role spans both traditional data science responsibilities and emerging generative AI capabilities, with an emphasis on designing, implementing, and operating agents that leverage Copilot and related platforms. The ideal candidate is hands-on, technically curious, and motivated to apply data, automation, and AI solutions to real business problems.
Responsibilities
• Design, build, and deploy intelligent agents to automate team and departmental workflows
• Implement and extend agents using Copilot and related GenAI tooling
• Develop internal tools and automation solutions that improve data access, analysis, and decision-making
• Apply statistical analysis and data mining techniques to support agent logic, insights, and recommendations
• Manage and prepare data pipelines to support both analytical and GenAI-driven use cases
• Partner with stakeholders to identify opportunities where automation and agents can drive efficiency or scale
• Integrate agents and tools with existing platforms and business processes
• Support and continuously improve deployed agents through monitoring, tuning, and iteration
• Document solutions and share best practices to enable broader adoption across teams
Qualifications & Skills
• Experience building or implementing intelligent agents or automation solutions
• Familiarity with leveraging Copilot to design, configure, or extend agent-based workflows
• Strong foundation in statistical analysis and data mining techniques
• Experience working across data management and analytics use cases
• Familiarity with Microsoft Power Platform (Power Automate, Power Apps, Power BI)
• Comfort working with structured and unstructured data sources
• Ability to translate business needs into automated, data-driven solutions
• Strong problem-solving skills and a bias toward practical, scalable implementation
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
  • Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
  • Participates in the data gathering, data processing and data mining of large and complex datasets.
  • Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  • Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
  • May partner 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.

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 Management, Data Mining, Data Science, Machine Learning (ML), Microsoft Copilot, Microsoft Power Platform, Statistical Analysis
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, with 3+ years of relevant / direct industry experience. Certifications are often desired. 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: $55,000.00 - $142,600.00
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 04/24/2026, 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; 9 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 pncthrive.com.
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.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
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.

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