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Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!

RSM

Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Manager - Data Risk, Analytics, and Automation at RSM: A Comprehensive Overview

Are you a data-driven professional with a passion for risk management and a knack for automation? RSM is seeking a dynamic and experienced Manager to join our Data Risk, Analytics, and Automation team in Charlotte, North Carolina. In this role, you will be at the forefront of helping our clients navigate the complexities of data governance, risk mitigation, and regulatory compliance in an ever-evolving digital landscape.

Role Overview

As a Manager in our Data Risk, Analytics, and Automation practice, you will play a critical role in advising clients on how to effectively manage their data risks, implement robust data governance frameworks, and leverage analytics and automation to improve efficiency and reduce costs. You will work with C-suite executives, leaders, and boards of organizations across various industries, providing expert guidance and industry best practices to address their most challenging problems and prepare them for the future.

This role requires a strong understanding of finance, risk, and compliance processes, as well as proficiency in data analysis tools and techniques. You should be adept at identifying opportunities to improve data risk services methodologies, developing and delivering training programs, and creating innovative solutions that drive tangible benefits for our clients.

A Day in the Life

Here’s a glimpse into what a typical day might look like as a Manager in our Data Risk, Analytics, and Automation team:

  • Client Engagement: Meeting with clients to understand their data risk challenges and objectives, and developing tailored solutions to address their specific needs.
  • Data Analysis: Performing data analysis using tools such as SQL, Python, and Tableau to identify trends, patterns, and anomalies that could indicate potential risks.
  • Risk Assessment: Conducting risk assessments to evaluate the effectiveness of existing data management processes and identify areas for improvement.
  • Solution Development: Designing and implementing data governance frameworks, data quality management programs, and automated risk and compliance controls.
  • Team Collaboration: Collaborating with other team members, including consultants, analysts, and developers, to deliver high-quality solutions to clients.
  • Training and Development: Developing and delivering training programs to educate clients on data risk management best practices and the use of data analytics tools.
  • Business Development: Participating in business development activities, such as proposal writing and client presentations, to expand our client base.
  • Research and Innovation: Staying up-to-date on industry trends and emerging technologies related to data risk, analytics, and automation, and contributing to the development of new service offerings.

Why Charlotte, North Carolina?

Charlotte, North Carolina, is a vibrant and growing city that offers a high quality of life, a thriving business community, and a diverse culture. As the second-largest financial center in the United States, Charlotte is home to numerous major banks, financial institutions, and Fortune 500 companies, providing ample opportunities for professional growth and development.

In addition to its strong business climate, Charlotte boasts a mild climate, affordable cost of living, and a wide range of cultural and recreational activities. From museums and art galleries to parks and outdoor adventures, there’s something for everyone in Charlotte.

Career Path

At RSM, we are committed to providing our employees with opportunities for growth and advancement. As a Manager in our Data Risk, Analytics, and Automation team, you will have the opportunity to develop your skills, expand your knowledge, and advance your career within our organization. Potential career paths may include:

  • Senior Manager: Leading larger and more complex client engagements, managing teams of consultants, and developing new service offerings.
  • Director: Overseeing a portfolio of client engagements, providing strategic direction to the team, and driving business development efforts.
  • Partner: Leading the Data Risk, Analytics, and Automation practice, developing and executing the overall strategy, and managing client relationships at the highest level.

Salary & Benefits

RSM offers a competitive salary and benefits package that is designed to attract and retain top talent. The estimated salary range for a Manager in our Data Risk, Analytics, and Automation team in Charlotte, North Carolina, is $110,000 to $160,000 per year. Actual compensation may vary depending on experience, skills, and qualifications.

In addition to a competitive salary, RSM offers a comprehensive benefits package that includes:

  • Health Insurance: Medical, dental, and vision coverage
  • Paid Time Off: Generous paid time off policy, including vacation, sick, and personal days
  • Retirement Savings: 401(k) retirement plan with company match
  • Flexible Spending Accounts: Flexible spending accounts for healthcare and dependent care expenses
  • Life Insurance: Life insurance and disability coverage
  • Employee Assistance Program: Employee assistance program for confidential counseling and support
  • Professional Development: Opportunities for professional development, including training programs, conferences, and certifications
  • Tuition Reimbursement: Tuition reimbursement program for eligible employees

RSM Culture

At RSM, we are committed to creating a culture that is inclusive, collaborative, and supportive. We believe that our people are our greatest asset, and we strive to provide an environment where everyone can thrive both personally and professionally.

We value diversity and inclusion and are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work. We offer a variety of employee resource groups and diversity initiatives to support our employees and promote a culture of inclusivity.

How to Apply

If you are a data-driven professional with a passion for risk management and a desire to make a difference, we encourage you to apply for the Manager - Data Risk, Analytics, and Automation position at RSM. To apply, please submit your resume and cover letter through our online application portal.

We look forward to hearing from you!

Frequently Asked Questions (FAQs)

  1. What is RSM's approach to data risk management?

    RSM takes a holistic approach to data risk management, focusing on identifying, assessing, and mitigating data-related risks across the entire organization. We help clients develop and implement data governance frameworks, data quality management programs, and automated risk and compliance controls to protect their data assets and ensure regulatory compliance.

  2. What types of data analytics services does RSM offer?

    RSM offers a wide range of data analytics services, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. We help clients leverage data analytics to gain insights, improve decision-making, and drive business performance.

  3. What industries does RSM serve in its Data Risk, Analytics, and Automation practice?

    RSM serves clients across a variety of industries, including financial services, healthcare, manufacturing, retail, and technology. Our industry-specific expertise allows us to provide tailored solutions that address the unique data risk challenges faced by each industry.

  4. What is the typical project timeline for a Data Risk, Analytics, and Automation engagement?

    The project timeline for a Data Risk, Analytics, and Automation engagement can vary depending on the scope and complexity of the project. However, most engagements typically last from several weeks to several months.

  5. What are the key skills and qualifications required for a Manager in the Data Risk, Analytics, and Automation team?

    The key skills and qualifications required for a Manager in the Data Risk, Analytics, and Automation team include a bachelor's degree in a relevant field, 5+ years of experience in data analytics or risk management, proficiency in data analysis tools and techniques, strong understanding of finance, risk, and compliance processes, and excellent communication and interpersonal skills.

  6. What opportunities are there for professional development at RSM?

    RSM offers a variety of opportunities for professional development, including training programs, conferences, certifications, and mentorship programs. We are committed to helping our employees develop their skills and advance their careers within our organization.

  7. What is RSM's approach to work-life balance?

    RSM is committed to providing a flexible and supportive work environment that allows our employees to balance their personal and professional lives. We offer a variety of flexible work arrangements, including telecommuting, flextime, and compressed workweeks, to help our employees manage their work and personal responsibilities.

  8. What is RSM's culture like?

    RSM has a culture that is inclusive, collaborative, and supportive. We value diversity and inclusion and are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work.

  9. What are the career growth opportunities at RSM?

    RSM offers a variety of career growth opportunities, including promotions, lateral moves, and international assignments. We are committed to helping our employees advance their careers within our organization and achieve their professional goals.

  10. How does RSM support innovation in the Data Risk, Analytics, and Automation space?

    RSM encourages innovation in the Data Risk, Analytics, and Automation space by providing our employees with opportunities to experiment with new technologies, develop new service offerings, and participate in research and development activities. We also partner with leading technology vendors and academic institutions to stay at the forefront of industry trends and emerging technologies.

Locations

  • Charlotte, North Carolina, United States

Salary

Estimated Salary Rangemedium confidence

121,000 - 176,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Analysisintermediate
  • Data Governanceintermediate
  • Data Strategyintermediate
  • Data Product Modelsintermediate
  • AI Architectureintermediate
  • Financeintermediate
  • Risk Managementintermediate
  • Complianceintermediate
  • Analyticsintermediate
  • Generative AIintermediate
  • Robotic Process Automation (RPA)intermediate
  • Risk Assessmentintermediate
  • Internal Controlsintermediate
  • ERP Systems (SAP, Oracle)intermediate
  • Communication Skillsintermediate
  • Critical Thinkingintermediate
  • Problem-Solvingintermediate
  • Project Managementintermediate
  • Client Relationship Managementintermediate
  • Process Improvementintermediate
  • Statistical Analysisintermediate
  • Data Visualizationintermediate
  • SQLintermediate
  • Pythonintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Data Modelingintermediate
  • Data Warehousingintermediate

Required Qualifications

  • Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, or a related field. (experience)
  • 5+ years of experience in data analytics, risk management, or a related field. (experience)
  • Experience with data governance frameworks and data quality management. (experience)
  • Strong understanding of finance, risk, and compliance processes. (experience)
  • Proficiency in data analysis tools and techniques (e.g., SQL, Python, R, Tableau, Power BI). (experience)
  • Experience with ERP systems (e.g., SAP, Oracle) and related data structures. (experience)
  • Knowledge of AI and machine learning concepts and applications. (experience)
  • Experience with robotic process automation (RPA) tools. (experience)
  • Strong project management skills and ability to manage multiple projects simultaneously. (experience)
  • Excellent communication, interpersonal, and presentation skills. (experience)
  • Ability to work independently and as part of a team. (experience)
  • Experience in a consulting environment is a plus. (experience)
  • Professional certifications such as CISA, CISSP, or CRISC are a plus. (experience)
  • Experience in developing and implementing data strategies. (experience)
  • Experience with cloud-based data solutions (e.g., AWS, Azure, GCP). (experience)

Responsibilities

  • Identify, prioritize, and execute on high-value opportunities to improve data risk services methodologies through analytics, automation, and AI.
  • Develop and deliver training, whitepapers, and desktop procedures related to data risk services.
  • Design and deliver Finance, Risk, and Compliance data strategies and governance approaches that allow for new insights and executive decision-making and enable AI evolution.
  • Create approaches to modernize the Finance, Risk, and Compliance data landscape, instituting data product models and defining AI-enabled architectures.
  • Establish transparency into the way data moves through the organization and create the right controls to manage that movement.
  • Advise clients on data governance best practices and data quality management.
  • Lead data analytics projects, including data extraction, transformation, and loading (ETL) processes.
  • Develop and implement data visualizations and dashboards to communicate key insights to clients.
  • Conduct risk assessments and identify areas for improvement in data management processes.
  • Assist clients in implementing and automating risk and compliance controls.
  • Manage project budgets and timelines.
  • Mentor and train junior staff members.
  • Participate in business development activities, including proposal writing and client presentations.
  • Stay up-to-date on industry trends and emerging technologies related to data risk, analytics, and automation.
  • Contribute to the development of new service offerings in the data risk and automation space.

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Generous paid time off (PTO) policy
  • general: Paid holidays
  • general: 401(k) retirement plan with company match
  • general: Flexible spending accounts (FSA) for healthcare and dependent care
  • general: Health savings account (HSA) options
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Professional development opportunities
  • general: Tuition reimbursement program
  • general: Employee referral bonus program
  • general: Wellness programs and resources
  • general: Discounts on various products and services
  • general: Parental leave
  • general: Adoption assistance
  • general: Flexible work arrangements (depending on role and team)
  • general: Opportunities for advancement and career growth
  • general: Mentorship programs
  • general: Employee recognition programs
  • general: Volunteer opportunities
  • general: Stock options (depending on level)
  • general: Performance-based bonuses

Target Your Resume for "Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!" , RSM

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Tags & Categories

Data RiskAnalyticsAutomationRisk ManagementComplianceCharlotteNorth CarolinaManagerConsultingData Risk ManagementData AnalyticsFinanceERP SystemsSAPOracleData GovernanceData QualityData VisualizationSQLPythonRTableauPower BIAIMachine LearningRobotic Process AutomationCharlotte NC JobsRisk ConsultingData StrategyAuditManager Jobs Charlotte NCRSM CareersFinancial ServicesHealthcareCloud ComputingConsultingAccountingTaxAudit

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RSM logo

Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!

RSM

Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Manager - Data Risk, Analytics, and Automation at RSM: A Comprehensive Overview

Are you a data-driven professional with a passion for risk management and a knack for automation? RSM is seeking a dynamic and experienced Manager to join our Data Risk, Analytics, and Automation team in Charlotte, North Carolina. In this role, you will be at the forefront of helping our clients navigate the complexities of data governance, risk mitigation, and regulatory compliance in an ever-evolving digital landscape.

Role Overview

As a Manager in our Data Risk, Analytics, and Automation practice, you will play a critical role in advising clients on how to effectively manage their data risks, implement robust data governance frameworks, and leverage analytics and automation to improve efficiency and reduce costs. You will work with C-suite executives, leaders, and boards of organizations across various industries, providing expert guidance and industry best practices to address their most challenging problems and prepare them for the future.

This role requires a strong understanding of finance, risk, and compliance processes, as well as proficiency in data analysis tools and techniques. You should be adept at identifying opportunities to improve data risk services methodologies, developing and delivering training programs, and creating innovative solutions that drive tangible benefits for our clients.

A Day in the Life

Here’s a glimpse into what a typical day might look like as a Manager in our Data Risk, Analytics, and Automation team:

  • Client Engagement: Meeting with clients to understand their data risk challenges and objectives, and developing tailored solutions to address their specific needs.
  • Data Analysis: Performing data analysis using tools such as SQL, Python, and Tableau to identify trends, patterns, and anomalies that could indicate potential risks.
  • Risk Assessment: Conducting risk assessments to evaluate the effectiveness of existing data management processes and identify areas for improvement.
  • Solution Development: Designing and implementing data governance frameworks, data quality management programs, and automated risk and compliance controls.
  • Team Collaboration: Collaborating with other team members, including consultants, analysts, and developers, to deliver high-quality solutions to clients.
  • Training and Development: Developing and delivering training programs to educate clients on data risk management best practices and the use of data analytics tools.
  • Business Development: Participating in business development activities, such as proposal writing and client presentations, to expand our client base.
  • Research and Innovation: Staying up-to-date on industry trends and emerging technologies related to data risk, analytics, and automation, and contributing to the development of new service offerings.

Why Charlotte, North Carolina?

Charlotte, North Carolina, is a vibrant and growing city that offers a high quality of life, a thriving business community, and a diverse culture. As the second-largest financial center in the United States, Charlotte is home to numerous major banks, financial institutions, and Fortune 500 companies, providing ample opportunities for professional growth and development.

In addition to its strong business climate, Charlotte boasts a mild climate, affordable cost of living, and a wide range of cultural and recreational activities. From museums and art galleries to parks and outdoor adventures, there’s something for everyone in Charlotte.

Career Path

At RSM, we are committed to providing our employees with opportunities for growth and advancement. As a Manager in our Data Risk, Analytics, and Automation team, you will have the opportunity to develop your skills, expand your knowledge, and advance your career within our organization. Potential career paths may include:

  • Senior Manager: Leading larger and more complex client engagements, managing teams of consultants, and developing new service offerings.
  • Director: Overseeing a portfolio of client engagements, providing strategic direction to the team, and driving business development efforts.
  • Partner: Leading the Data Risk, Analytics, and Automation practice, developing and executing the overall strategy, and managing client relationships at the highest level.

Salary & Benefits

RSM offers a competitive salary and benefits package that is designed to attract and retain top talent. The estimated salary range for a Manager in our Data Risk, Analytics, and Automation team in Charlotte, North Carolina, is $110,000 to $160,000 per year. Actual compensation may vary depending on experience, skills, and qualifications.

In addition to a competitive salary, RSM offers a comprehensive benefits package that includes:

  • Health Insurance: Medical, dental, and vision coverage
  • Paid Time Off: Generous paid time off policy, including vacation, sick, and personal days
  • Retirement Savings: 401(k) retirement plan with company match
  • Flexible Spending Accounts: Flexible spending accounts for healthcare and dependent care expenses
  • Life Insurance: Life insurance and disability coverage
  • Employee Assistance Program: Employee assistance program for confidential counseling and support
  • Professional Development: Opportunities for professional development, including training programs, conferences, and certifications
  • Tuition Reimbursement: Tuition reimbursement program for eligible employees

RSM Culture

At RSM, we are committed to creating a culture that is inclusive, collaborative, and supportive. We believe that our people are our greatest asset, and we strive to provide an environment where everyone can thrive both personally and professionally.

We value diversity and inclusion and are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work. We offer a variety of employee resource groups and diversity initiatives to support our employees and promote a culture of inclusivity.

How to Apply

If you are a data-driven professional with a passion for risk management and a desire to make a difference, we encourage you to apply for the Manager - Data Risk, Analytics, and Automation position at RSM. To apply, please submit your resume and cover letter through our online application portal.

We look forward to hearing from you!

Frequently Asked Questions (FAQs)

  1. What is RSM's approach to data risk management?

    RSM takes a holistic approach to data risk management, focusing on identifying, assessing, and mitigating data-related risks across the entire organization. We help clients develop and implement data governance frameworks, data quality management programs, and automated risk and compliance controls to protect their data assets and ensure regulatory compliance.

  2. What types of data analytics services does RSM offer?

    RSM offers a wide range of data analytics services, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. We help clients leverage data analytics to gain insights, improve decision-making, and drive business performance.

  3. What industries does RSM serve in its Data Risk, Analytics, and Automation practice?

    RSM serves clients across a variety of industries, including financial services, healthcare, manufacturing, retail, and technology. Our industry-specific expertise allows us to provide tailored solutions that address the unique data risk challenges faced by each industry.

  4. What is the typical project timeline for a Data Risk, Analytics, and Automation engagement?

    The project timeline for a Data Risk, Analytics, and Automation engagement can vary depending on the scope and complexity of the project. However, most engagements typically last from several weeks to several months.

  5. What are the key skills and qualifications required for a Manager in the Data Risk, Analytics, and Automation team?

    The key skills and qualifications required for a Manager in the Data Risk, Analytics, and Automation team include a bachelor's degree in a relevant field, 5+ years of experience in data analytics or risk management, proficiency in data analysis tools and techniques, strong understanding of finance, risk, and compliance processes, and excellent communication and interpersonal skills.

  6. What opportunities are there for professional development at RSM?

    RSM offers a variety of opportunities for professional development, including training programs, conferences, certifications, and mentorship programs. We are committed to helping our employees develop their skills and advance their careers within our organization.

  7. What is RSM's approach to work-life balance?

    RSM is committed to providing a flexible and supportive work environment that allows our employees to balance their personal and professional lives. We offer a variety of flexible work arrangements, including telecommuting, flextime, and compressed workweeks, to help our employees manage their work and personal responsibilities.

  8. What is RSM's culture like?

    RSM has a culture that is inclusive, collaborative, and supportive. We value diversity and inclusion and are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work.

  9. What are the career growth opportunities at RSM?

    RSM offers a variety of career growth opportunities, including promotions, lateral moves, and international assignments. We are committed to helping our employees advance their careers within our organization and achieve their professional goals.

  10. How does RSM support innovation in the Data Risk, Analytics, and Automation space?

    RSM encourages innovation in the Data Risk, Analytics, and Automation space by providing our employees with opportunities to experiment with new technologies, develop new service offerings, and participate in research and development activities. We also partner with leading technology vendors and academic institutions to stay at the forefront of industry trends and emerging technologies.

Locations

  • Charlotte, North Carolina, United States

Salary

Estimated Salary Rangemedium confidence

121,000 - 176,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Analysisintermediate
  • Data Governanceintermediate
  • Data Strategyintermediate
  • Data Product Modelsintermediate
  • AI Architectureintermediate
  • Financeintermediate
  • Risk Managementintermediate
  • Complianceintermediate
  • Analyticsintermediate
  • Generative AIintermediate
  • Robotic Process Automation (RPA)intermediate
  • Risk Assessmentintermediate
  • Internal Controlsintermediate
  • ERP Systems (SAP, Oracle)intermediate
  • Communication Skillsintermediate
  • Critical Thinkingintermediate
  • Problem-Solvingintermediate
  • Project Managementintermediate
  • Client Relationship Managementintermediate
  • Process Improvementintermediate
  • Statistical Analysisintermediate
  • Data Visualizationintermediate
  • SQLintermediate
  • Pythonintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Data Modelingintermediate
  • Data Warehousingintermediate

Required Qualifications

  • Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, or a related field. (experience)
  • 5+ years of experience in data analytics, risk management, or a related field. (experience)
  • Experience with data governance frameworks and data quality management. (experience)
  • Strong understanding of finance, risk, and compliance processes. (experience)
  • Proficiency in data analysis tools and techniques (e.g., SQL, Python, R, Tableau, Power BI). (experience)
  • Experience with ERP systems (e.g., SAP, Oracle) and related data structures. (experience)
  • Knowledge of AI and machine learning concepts and applications. (experience)
  • Experience with robotic process automation (RPA) tools. (experience)
  • Strong project management skills and ability to manage multiple projects simultaneously. (experience)
  • Excellent communication, interpersonal, and presentation skills. (experience)
  • Ability to work independently and as part of a team. (experience)
  • Experience in a consulting environment is a plus. (experience)
  • Professional certifications such as CISA, CISSP, or CRISC are a plus. (experience)
  • Experience in developing and implementing data strategies. (experience)
  • Experience with cloud-based data solutions (e.g., AWS, Azure, GCP). (experience)

Responsibilities

  • Identify, prioritize, and execute on high-value opportunities to improve data risk services methodologies through analytics, automation, and AI.
  • Develop and deliver training, whitepapers, and desktop procedures related to data risk services.
  • Design and deliver Finance, Risk, and Compliance data strategies and governance approaches that allow for new insights and executive decision-making and enable AI evolution.
  • Create approaches to modernize the Finance, Risk, and Compliance data landscape, instituting data product models and defining AI-enabled architectures.
  • Establish transparency into the way data moves through the organization and create the right controls to manage that movement.
  • Advise clients on data governance best practices and data quality management.
  • Lead data analytics projects, including data extraction, transformation, and loading (ETL) processes.
  • Develop and implement data visualizations and dashboards to communicate key insights to clients.
  • Conduct risk assessments and identify areas for improvement in data management processes.
  • Assist clients in implementing and automating risk and compliance controls.
  • Manage project budgets and timelines.
  • Mentor and train junior staff members.
  • Participate in business development activities, including proposal writing and client presentations.
  • Stay up-to-date on industry trends and emerging technologies related to data risk, analytics, and automation.
  • Contribute to the development of new service offerings in the data risk and automation space.

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Generous paid time off (PTO) policy
  • general: Paid holidays
  • general: 401(k) retirement plan with company match
  • general: Flexible spending accounts (FSA) for healthcare and dependent care
  • general: Health savings account (HSA) options
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Professional development opportunities
  • general: Tuition reimbursement program
  • general: Employee referral bonus program
  • general: Wellness programs and resources
  • general: Discounts on various products and services
  • general: Parental leave
  • general: Adoption assistance
  • general: Flexible work arrangements (depending on role and team)
  • general: Opportunities for advancement and career growth
  • general: Mentorship programs
  • general: Employee recognition programs
  • general: Volunteer opportunities
  • general: Stock options (depending on level)
  • general: Performance-based bonuses

Target Your Resume for "Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!" , RSM

Get personalized recommendations to optimize your resume specifically for Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now!" , RSM

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data RiskAnalyticsAutomationRisk ManagementComplianceCharlotteNorth CarolinaManagerConsultingData Risk ManagementData AnalyticsFinanceERP SystemsSAPOracleData GovernanceData QualityData VisualizationSQLPythonRTableauPower BIAIMachine LearningRobotic Process AutomationCharlotte NC JobsRisk ConsultingData StrategyAuditManager Jobs Charlotte NCRSM CareersFinancial ServicesHealthcareCloud ComputingConsultingAccountingTaxAudit

Answer 10 quick questions to check your fit for Manager - Data Risk, Analytics, and Automation Careers at RSM - Charlotte, North Carolina | Apply Now! @ RSM.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.