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Senior Manager Data Analytics Jobs in Oklahoma (NOW HIRING)

Data Engineer - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

S/he will have experience in the design, implementation, and management of health monitoring and ... Data Analytics and Visualization Specialist.pdf The position is contingent upon availability of ...

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Senior Manager Data Analytics information

See Oklahoma salary details

$39.8K

$113.6K

$182.2K

How much do senior manager data analytics jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior manager data analytics in Oklahoma is $113,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Oklahoma?

For Senior Manager Data Analytics jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Oklahoma look for?

The top searched job categories for Senior Manager Data Analytics jobs in Oklahoma are:

What cities in Oklahoma are hiring for Senior Manager Data Analytics jobs?

Cities in Oklahoma with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in Oklahoma as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution, with an average salary of $113,560 per year, or $54.6 per hour.

Data Manager Senior - Data Products - AI and Analytics

Ponca City, OK • On-site


PNC Bank
Banking and Credit Intermediation • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

88th of 172 rated banks

Good employer

Recommended by students

Recommended by parents


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

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 Data Manager Senior within PNC's Data Products organization, you will be based in Pittsburgh, PA.
We are seeking a highly accomplished Data Product Manager to lead the strategy, development, and delivery of enterprise-scale data, analytics, AI, and GenAI products that support retail banking portfolios, customer experiences, and operational decision-making. This role is responsible for defining product vision, establishing roadmaps, and driving the delivery of AI-ready data products, advanced analytics solutions, semantic data assets, and GenAI-enabled business capabilities.
The ideal candidate will combine strong product management expertise, deep understanding of data and analytics ecosystems, and experience delivering AI-powered business solutions. This individual will partner across business, technology, data science, architecture, and governance teams to deliver reusable, scalable, and highly interoperable data products that enable self-service analytics, intelligent automation, and agentic digital experiences across retail banking value streams.
Key Responsibilities:
Define and execute the multi-year roadmap for enterprise data, analytics, and AI products aligned to retail banking portfolios, customer journeys, and process families.
Design reusable, governed, and AI-ready data products that accelerate analytics, machine learning, GenAI adoption, and digital transformation initiatives.
Design reusable and AI-ready data products aligned to the organizational structure of retail banking portfolios and associated process families.
Develop highly interoperable data engineering and analytics artifacts spanning retail banking portfolios across structured, semi-structured, unstructured, and external data domains.
Lead the delivery of diagnostic, predictive, and prescriptive analytics solutions supporting customer growth, operational efficiency, risk optimization, and revenue generation.
Define enterprise standards for analytics products, model governance, explain ability, and business adoption.
Define and deliver enterprise semantic layers that enable consistent KPI definitions, business metrics, and trusted analytical experiences.
Lead strategy for enterprise business vocabularies, metadata management, taxonomies, ontologies, and knowledge graphs.
Manage data product delivery across multiple agile teams within a matrixed organization.
Drive end-to-end product execution from ideation, requirements, business case development, prioritization, implementation, launch, and adoption.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
  • Manages all aspects of organizational data; establishes and maintains policies and procedures for planning, designing and maintaining an information bank to ensure that data services are delivered in a high-quality and profitable manner.
  • Provides senior leadership, direction and methodology for analysis, structure and storage of critical organizational data.
  • Oversees the integrity and maintenance of organizational data.
  • Monitors and reviews major organizational activities and goals to ensure important data needs are anticipated, and met.
  • Reviews and recommends policies and procedures for collecting and managing organization data.

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 SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesBusiness Intelligence, Data Administration, Data Architecture, Data Governance, Data Warehousing, Information Management, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA)Work 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.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Language AssessmentsNo Required or Preferred Language AssessmentsBenefitsPNC 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, visitpncthrive.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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