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Computer System Validation Manager Jobs in Huntersville, NC

... entire system, take ownership of projects, and develop skills outside your comfort zone ... Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science ...

Maintain CAD system organization including daily backups and file management. * Assist Product Development and Engineering with digitizing new style patterns, files, and components. * Support ...

Store Assistant Manager

Concord, NC · On-site

$15 - $20.25/hr

Process information or merchandise through the computer system and POS register system. Assist Store Manager in the selection and hiring of qualified candidates. Be flexible and occasionally perform ...

Store Assistant Manager

Concord, NC · On-site

$15 - $20.25/hr

... computer system and POS register system. • Assist Store Manager in the selection and hiring of qualified candidates. • Be flexible and occasionally perform work outside your specific role.

Showing results 21-40

Computer System Validation Manager information

See Huntersville, NC salary details

$44.6K

$99.1K

$150.8K

How much do computer system validation manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for computer system validation manager in Huntersville, NC is $99,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $124,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer System Validation Manager, you need expertise in computer system validation regulations (such as GxP, FDA 21 CFR Part 11), strong project management skills, and a background in life sciences or IT. Familiarity with validation lifecycle documentation tools, quality management systems (QMS), and compliance software is often required, along with relevant certifications like PMP or CSV-related credentials. Exceptional attention to detail, analytical thinking, and effective communication are crucial soft skills for coordinating cross-functional teams and ensuring regulatory compliance. These skills and qualifications are vital to ensure validated systems meet regulatory standards, minimize compliance risks, and support organizational quality objectives.

What are some common challenges a computer system validation manager faces during system implementation projects?

A Computer System Validation Manager often encounters challenges such as aligning validation activities with evolving regulatory requirements, managing tight project timelines, and coordinating between multiple stakeholders like IT, Quality Assurance, and business users. Ensuring thorough documentation and traceability, while adapting to technology updates or scope changes, can also be demanding. Proactive communication and strong project management skills are essential to mitigate risks and ensure successful, compliant system implementations.

What does a computer system validation manager do?

A Computer System Validation Manager is responsible for ensuring that computer systems used in regulated industries, such as pharmaceuticals or biotechnology, meet all required compliance standards. They oversee the planning, execution, and documentation of validation activities to ensure systems are reliable, accurate, and secure. Their duties include managing validation projects, writing protocols, coordinating with IT and quality assurance teams, and ensuring adherence to regulations like FDA 21 CFR Part 11. This role is critical for maintaining product quality and regulatory compliance.

What is the difference between Computer System Validation Manager vs Computer System Validation Specialist?

AspectComputer System Validation ManagerComputer System Validation Specialist
CertificationsGAMP, CQE, CSQEGAMP, CQE, CSQE
Work EnvironmentManagement, oversight, strategic planningExecution, testing, documentation
Industry UsagePharmaceutical, biotech, regulated industriesPharmaceutical, biotech, regulated industries
Primary FocusLeading validation projects, team coordinationPerforming validation activities, testing

The main difference between a Computer System Validation Manager and a Computer System Validation Specialist lies in their roles. The manager oversees validation projects, manages teams, and ensures compliance, while the specialist executes validation tasks and documents testing procedures. Both roles require similar certifications and are vital in regulated industries like pharmaceuticals and biotech.

What are the most commonly searched types of Computer System Validation jobs in Huntersville, NC?

The most popular types of Computer System Validation jobs in Huntersville, NC are:

What job categories do people searching Computer System Validation Manager jobs in Huntersville, NC look for?

The top searched job categories for Computer System Validation Manager jobs in Huntersville, NC are:

What cities near Huntersville, NC are hiring for Computer System Validation Manager jobs?

Cities near Huntersville, NC with the most Computer System Validation Manager job openings:

Manager of Data Science

Cliftonlarsonallen

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

CrossFunctional Collaboration

  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:

8 years of relevant experience required.

  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012