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Data Science Manager Jobs in Charleston, SC (NOW HIRING)

DXC Technology

Data Engineering Lead

Charleston, SC · On-site

Build and manage data lakes, data warehouses, lakehouse architectures, and data products ... Collaborate with data scientists and AI teams to operationalize models and data products. * Support ...

DXC Technology

Data Engineering Lead

Charleston, SC · On-site

Build and manage data lakes, data warehouses, lakehouse architectures, and data products ... Collaborate with data scientists and AI teams to operationalize models and data products. * Support ...

Brookfield Properties

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

... and SLA management 2. Collaboration with Analytics, Data Science, and Stakeholders and Data ... Enablement 30% Develop and maintain enterprise datasets, models, and transformation frameworks ...

Brookfield Properties

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

... and SLA management 2. Collaboration with Analytics, Data Science, and Stakeholders and Data ... Enablement 30% Develop and maintain enterprise datasets, models, and transformation frameworks ...

Workiva, Inc.

Senior AI Product Manager

Charleston, SC · On-site +1

$118K - $156K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Demonstrated experience managing product lifecycles from ideation through launch and iteration in ...

Workiva, Inc.

Senior AI Product Manager

Charleston, SC · On-site

$120K - $158K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Demonstrated experience managing product lifecycles from ideation through launch and iteration in ...

KBR

MCPP - Digital Solutions Specialist

Charleston, SC · On-site

Manage, configure, and optimize Microsoft 365 SharePoint sites to ensure secure, efficient data ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems ...

KBR

MCPP - Digital Solutions Specialist

Charleston, SC · On-site

Manage, configure, and optimize Microsoft 365 SharePoint sites to ensure secure, efficient data ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems ...

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Data Science Manager information

See Charleston, SC salary details

$29K

$90.9K

$161K

How much do data science manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science manager in Charleston, SC is $90,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $117,400.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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

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

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

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

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Charleston, SC as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $90,910 per year, or $43.7 per hour.

Data Engineering Lead

DXC Technology

Charleston, SC • On-site

Full-time

Re-posted 3 days ago

DXC Technology rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

152nd of 224 rated it services

Job description

Job Description:
DXC Technology is a leading global technology services provider helping the world's largest enterprises and public sector organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technology solutions.
Our Insurance Software and Business Process Solutions (ISB) organization partners with insurers worldwide to transform and manage core insurance operations. By combining deep insurance expertise, market-leading software platforms, and AI-powered solutions, we help clients modernize policy administration, claims, billing, underwriting, and digital engagement across Life & Annuity, Property & Casualty, and Specialty Insurance.
Position Summary
The Data Engineering Lead is responsible for the design, development, governance, and operational excellence of enterprise data platforms, pipelines, and analytics capabilities. This role provides technical leadership for data engineering initiatives while managing a team of engineers responsible for delivering scalable, secure, and reliable data solutions that support business intelligence, AI, machine learning, operational reporting, and digital transformation programs.
The successful candidate combines deep technical expertise with leadership skills to establish enterprise data standards, drive modernization initiatives, implement cloud-native data architectures, and ensure data is treated as a strategic business asset. This individual will partner closely with product management, application engineering, cloud operations, architecture, security, and business leaders to deliver measurable business outcomes.
Key Responsibilities
Data Strategy & Architecture
  • Define and drive the enterprise data engineering strategy and roadmap.
  • Design scalable data architectures supporting operational, analytical, and AI workloads.
  • Establish standards for data modeling, data integration, metadata management, and data lifecycle management.
  • Lead modernization efforts from legacy data environments to cloud-native data platforms.
  • Ensure alignment with enterprise architecture, cybersecurity, and compliance requirements.
Data Platform Engineering
  • Lead the design and implementation of enterprise data platforms utilizing cloud technologies and modern data architectures.
  • Develop and maintain high-volume batch, streaming, and event-driven data pipelines.
  • Build and manage data lakes, data warehouses, lakehouse architectures, and data products.
  • Establish reusable frameworks and accelerators that improve engineering velocity and solution consistency.
  • Drive platform automation through Infrastructure-as-Code and DataOps practices.
Leadership & Team Development
  • Lead and mentor a team of Data Engineers, Data Architects, and Data Integration specialists.
  • Establish engineering best practices and technical standards.
  • Provide technical oversight, architecture reviews, and design guidance across projects.
  • Foster a culture of innovation, accountability, continuous learning, and operational excellence.
  • Support recruitment, onboarding, career development, and performance management activities.
Data Governance & Quality
  • Implement enterprise data governance practices.
  • Establish data quality frameworks, monitoring, observability, and remediation processes.
  • Partner with data stewards and business stakeholders to improve trust in enterprise data assets.
  • Ensure compliance with regulatory, privacy, retention, and security requirements.
  • Define and monitor KPIs related to data quality, availability, and reliability.
AI & Advanced Analytics Enablement
  • Build and optimize data environments that support AI, machine learning, and advanced analytics initiatives.
  • Collaborate with data scientists and AI teams to operationalize models and data products.
  • Support enterprise AI initiatives through governed, trusted, high-quality data pipelines.
  • Establish patterns for feature engineering, model data preparation, and data consumption.
Delivery & Execution
  • Manage delivery of multiple concurrent data engineering initiatives.
  • Create project plans, estimates, resource forecasts, and delivery commitments.
  • Drive agile delivery practices while maintaining governance and quality expectations.
  • Identify risks, dependencies, technical debt, and remediation plans.
  • Ensure predictable delivery, operational stability, and stakeholder satisfaction.
Stakeholder Engagement
  • Work closely with executive leadership to align data investments with business objectives.
  • Partner with engineering, product management, operations, and business teams to prioritize initiatives.
  • Present technical recommendations, investment strategies, and progress updates to leadership audiences.
  • Act as a trusted advisor for enterprise data strategy and modernization initiatives.

Required Qualifications
Education
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
  • Master's degree preferred.
Experience
  • 10+ years of experience in Data Engineering, Data Architecture, or related technology disciplines.
  • 3+ years leading technical teams or enterprise-scale data initiatives.
  • Demonstrated experience designing and delivering enterprise data platforms.
  • Experience leading cross-functional teams in global delivery environments.
Technical Expertise
Strong experience in multiple areas including:
  • SQL and advanced database technologies
  • Python, Spark, Scala, or similar data engineering technologies
  • ETL and ELT frameworks
  • Data Lakes, Lakehouse, and Data Warehouse architectures
  • Cloud platforms (Azure, AWS, or Google Cloud)
  • Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies
  • Real-time data processing and streaming architectures
  • API-based integration and event-driven architectures
  • CI/CD, DataOps, Infrastructure-as-Code, and automation practices

Preferred Qualifications
  • Insurance industry experience.
  • Experience supporting AI, Machine Learning, and Generative AI initiatives.
  • Experience implementing enterprise data governance programs.
  • Success leading large-scale cloud migration or data modernization programs.
  • Experience with observability, operational monitoring, and reliability engineering.

Leadership Competencies
  • Strategic Thinking
  • Technical Leadership
  • Decision Making
  • Stakeholder Management
  • Talent Development
  • Executive Communication
  • Continuous Improvement Mindset
  • Customer Focus
  • Results Orientation
  • Cross-Functional Collaboration

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .
We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.
Postings Link
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Please note: DXC will respond only to requests for accommodations due to a disability.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

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