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Ai Risk Analyst Jobs in Lancaster, SC (NOW HIRING)

... planning, risk management, issue resolution, testing, release readiness, and production support ... analytics to continuously improve outcomes. * Support an accelerated delivery timeline by ...

New

Ability to leverage available tools, including AI-enabled solutions, to improve operational ... risk mitigation efforts. * Knowledge of adult learning principles, training operations, and ...

Sr. AI Security Engineer

Fort Mill, SC · Hybrid

$100K - $167K/yr

Foundational understanding of cybersecurity programs and risk management. * Familiarity with data ... Preferred: * You're someone who may have started as a junior engineer or analyst and is now ready ...

Experience with operational, digital, AI-driven, or automation-focused transformation initiatives ... Risk, Issue, and Dependency Management * Track and manage portfolio-level risks and issues ...

AWS Solutions Architect

Fort Mill, SC · On-site

$57 - $74.75/hr

... payments, risk management, fraud detection, and analytics platforms * Translate business ... Architect Generative AI solutions using Amazon Bedrock (foundation models from Anthropic, Meta ...

This role is responsible for advancing Tableau Cloud, enabling AI-driven analytics, and ensuring ... Lead prioritization, sequencing, and risk management across BI initiatives * Ensure delivery ...

... API, and AI-enabled applications. This individual contributor role performs advanced manual ... Apply creative and analytical thinking to bypass security controls, identify vulnerabilities, and ...

New

Facilitate risk issue tracking to promote timely remediation. Perform issue assurance work for ... General Controls, Platform Controls, Virtualization, Cloud, AI/Machine Learning, etc...) Knowledge ...

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How much do ai risk analyst jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for ai risk analyst in Lancaster, SC is $34.53, according to ZipRecruiter salary data. Most workers in this role earn between $25.43 and $42.02 per hour, depending on experience, location, and employer.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployment aligns with safety standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What cities near Lancaster, SC are hiring for Ai Risk Analyst jobs? Cities near Lancaster, SC with the most Ai Risk Analyst job openings:
IT Project Manager-ITPM (AI Projects and Programs)

IT Project Manager-ITPM (AI Projects and Programs)

Pike Corporation

Fort Mill, SC

$86K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Position Summary

Only candidates who are the local Fort Mill, SC, Charlotte, NC area will be considered.  Relocation is not applicable.

As the IT Project Manager - AI Projects and Programs at Pike Corporation, you will lead the planning, delivery, and governance of AI-enabled initiatives and strategic technology programs. You will manage cross-functional projects that leverage data, automation, machine learning, and generative AI capabilities to improve business processes and outcomes. The ideal candidate excels at coordinating technical and business teams, managing risk and change, aligning solutions to enterprise architecture and security requirements, and driving successful adoption of AI solutions from concept through implementation and scale.

Essential Functions:

AI Program Delivery and Integration:

  • Lead the delivery of AI and data-driven projects, ensuring successful integration with existing enterprise systems, processes, and governance frameworks.
  • Collaborate with stakeholders to define business problems, gather requirements, develop use cases, and ensure AI solutions deliver measurable business value.
  • Coordinate with internal technology teams, data teams, and third-party vendors to support solution design, model deployment, platform readiness, and timely delivery of AI capabilities.
  • Understand and manage AI projects spend covering resource cost, token spend, license usage etc.
  • Make recommendations on capitalizable tasks and efforts

Project Planning, Governance, and Value Realization:

  • Develop comprehensive project and program plans, including scope, objectives, milestones, dependencies, resource needs, and implementation roadmaps for AI initiatives.
  • Manage project budgets, vendor spend, and resource plans while tracking outcomes, adoption, and return on investment for AI programs.
  • Define program success metrics, governance checkpoints, and delivery standards to ensure AI solutions are scalable, secure, and aligned with business and compliance requirements.

Project Delivery, Tooling, and Cross-Functional Collaboration:

  • Use project delivery tools such as Jira and related platforms to manage backlogs, workflows, dependencies, reporting, and team collaboration across AI and analytics initiatives.
  • Support delivery governance, sprint planning, status reporting, and portfolio visibility while maintaining alignment to PMO standards, SDLC practices, and responsible AI controls.
  • Partner with data science, engineering, cybersecurity, infrastructure, and business teams to coordinate delivery, remove blockers, and drive consistent execution across multiple AI workstreams.

Risk Management:

  • Identify, assess, and mitigate project and program risks, including data quality, model performance, security, privacy, compliance, vendor, and adoption risks.
  • Develop contingency and escalation plans to address delivery challenges, model or data issues, and operational readiness concerns throughout the AI solution lifecycle.

Quality Assurance:

  • Ensure project deliverables meet defined quality standards, business requirements, and acceptance criteria, including readiness for pilot, deployment, and operational support.
  • Coordinate reviews, testing, and governance checkpoints to validate solution performance, implementation readiness, and alignment with enterprise standards.

Change Management:

  • Develop and implement change management strategies to support the rollout, adoption, and effective use of AI-enabled tools, workflows, and decision-support capabilities.
  • Provide stakeholder training, communications, and support plans to promote responsible usage, user adoption, and sustainable business outcomes.

Stakeholder Communication

  • Act as a primary point of contact for business, technical, and executive stakeholders across AI projects and programs, ensuring clear and transparent communication.
  • Develop and execute communication and reporting plans that keep stakeholders informed on roadmap progress, key decisions, risks, dependencies, and realized value.

Minimum Requirements:

  • Bachelor's degree in computer science, information technology, data analytics, engineering, or a related field.
  • Strong knowledge of IT project and program management, financial management, resource planning, and delivery governance in complex technology environments.
  • 5+ years of experience leading IT projects or programs, including delivery of data, analytics, automation, or AI-related initiatives in cross-functional environments.
  • Experience with agile delivery tools and practices, with the ability to manage backlogs, dependencies, sprint reporting, and cross-team coordination.
  • Ability to align AI and technology initiatives with business objectives, operational priorities, enterprise architecture, and governance standards.
  • Working knowledge of data management, analytics, machine learning lifecycle concepts, or generative AI use cases and the operational considerations for deploying them responsibly.
  • Relevant certifications such as PMP, Scrum, Agile, cloud, data, or AI-related certifications are advantageous.

Preferred Qualifications:

  • Experience delivering AI, machine learning, advanced analytics, intelligent automation, or generative AI initiatives in an enterprise environment.
  • Experience with Microsoft, Azure, Oracle, or other cloud platforms that support data engineering, AI services, automation, and enterprise integration.
  • Master's degree in computer science, information systems, data science, business analytics, or a related field.
  • Experience managing program budgets, business cases, vendor relationships, and value realization for strategic technology initiatives.
  • Experience working with cross-functional teams spanning business operations, data engineering, software development, cybersecurity, and enterprise architecture.
  • Experience translating business requirements into high-level solution plans, delivery roadmaps, and governance approaches for complex AI or data-driven solutions.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to stand; walk; use hands and fingers to handle, feel, or operate objects, tools or controls; reach with hands and arms.

Work Environment:

While performing the duties of this job, the employee is not substantially exposed to adverse environmental conditions (such as in typical office or administrative work).

Our Benefits:

  • Medical, dental and vision insurance
  • HSA, dependent care and medical flexible spending accounts
  • Employee Assistance Program (EAP)
  • 401(k) with company match
  • Life insurance, and short-term and long-term disability
  • Paid time off, paid holidays, and family and medical leave

If this sounds like you, come join the PIKE family.

About Us

Founded in 1945, Pike is a leading provider of construction, repair and engineering services for electric and gas utilities, as well as telecommunications companies with a growing portfolio of turnkey renewable projects. We work with hundreds of utility clients across the country, and we continuously expand our offerings to supply our customers with the ideas, technology, experience, workforce and equipment to perform any job.

"Essential" is the one word that sums up who we are, the work we do and what our people mean to us. Each of our employees plays a critical role in ensuring that infrastructure systems are up and running when people and businesses need them.

Pike is a family-oriented workplace with a strong culture of safety, collaboration, innovation and exceptional customer service.

Equal Employment Opportunity

Pike Enterprises, LLC, is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin and/or status as a protected veteran or individual with a disability

About Us
Founded in 1945, Pike is a leading provider of construction, repair and engineering services for electric and gas utilities, as well as telecommunications companies with a growing portfolio of turnkey renewable projects. We work with hundreds of utility clients across the country, and we continuously expand our offerings to supply our customers with the ideas, technology, experience, manpower and equipment to perform any job.
"Essential" is the one word that sums up who we are, the work we do and what our people mean to us. Each of our employees plays a critical role in ensuring that infrastructure systems are up and running when people and businesses need them.
Pike is a family-oriented workplace with a strong culture of safety, collaboration, innovation and exceptional customer service.
Engineering

Pike Engineering employees play critical roles in ensuring that essential services like electric power, gas, telephone and wireless communications are up and running when people and businesses need them. We offer engineering opportunities in transmission and distribution, substations, smart meter technologies, renewable energy, telecommunications, storm damage assessment and more.