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Data Manager Jobs in Lexington, SC (NOW HIRING)

Pwc

Data Engineer - Manager

Columbia, SC

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

Pwc

Data Engineer - Senior Manager

Columbia, SC · 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 ...

Pwc

MDM PIM Manager

Columbia, SC · On-site

$99K - $232K/yr

Those in data quality and operations at PwC will focus on the accuracy, completeness, and ... You will be responsible for managing data operations, including data acquisition, transformation ...

Ask IT consulting

Data Architect

Columbia, SC

$59 - $75.75/hr

Facilitates consistent business analysis, data acquisition and access analysis and design, Database Management Systems optimization, archiving and recovery strategy, load strategy design and ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

THE PROGRAM MANAGEMENT OFFICE IS TASKED WITH OVERSEEING THE DELIVERY OF IT SHARED SERVICES FOR ... INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

The Data Architect role involves overseeing project financials, developing reports, and ... Required : • BS IN MATHEMATICS, ECONOMICS, COMPUTER SCIENCE, INFORMATION MANAGEMENT OR STATISTICS ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

Work with cross functional business and it teams of business analysts, data modelers, solution architects, dba's and project managers during all SDLC phases Translates functional requirements into ...

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Lexington, SC

Data Manager information

See Lexington, SC salary details

$26.5K

$83.2K

$147.2K

How much do data manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data manager in Lexington, SC is $83,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $107,400.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Lexington, SC?

The most popular types of Data jobs in Lexington, SC are:

What job categories do people searching Data Manager jobs in Lexington, SC look for?

The top searched job categories for Data Manager jobs in Lexington, SC are:

What cities near Lexington, SC are hiring for Data Manager jobs?

Cities near Lexington, SC with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Lexington, SC as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $83,152 per year, or $40 per hour.

Data Sciences Director

Virginia Farm Bureau Mutual

West Columbia, SC • On-site

Full-time

Re-posted 29 days ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

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