Jobs Companies PwC Data Validation Risk - Manager

Sobre esta vaga de Data Validation Risk - Manager na PwC

PwC · Presencial · NY-New York

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

As a Data Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice, focusing on the design and execution of innovative strategies for business data validation during ERP implementations. You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems, optimizing their operations, and achieving strategic goals.

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

In this role at PwC, you will analyze and identify the linkages and interactions between the component parts of an entire system, take ownership of projects, and develop skills outside your comfort zone, encouraging others to do the same.

Responsibilities

- Leading data validation and risk management initiatives to support client objectives
- Utilizing advanced analytics techniques to extract insights from complex datasets
- Developing and implementing data quality improvement plans to enhance data integrity
- Managing and mentoring teams to deliver data-driven solutions and meet client expectations
- Conducting exploratory data analysis to identify trends and inform strategic decision-making
- Building and maintaining data pipelines and integration processes for seamless data flow
- Designing and deploying data visualization dashboards using tools like Power BI and Tableau
- Collaborating with stakeholders to address data challenges and optimize business performance
- Applying statistical modeling and predictive analytics to solve complex business problems
- Overseeing the development of scalable data solutions to support client operations

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience in a public accounting firm or professional services organization

What Sets You Apart

- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- Certified Public Accountant or Certified Information Systems Auditor preferred
- Demonstrating proficiency in data validation during ERP implementations
- Manipulating large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Embracing technology and innovation to enhance client delivery
- Mentoring team members to develop skills outside their comfort zone

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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Como este salário de Risk Analyst se compara

Esta vaga paga $165,500/yrem linha com da faixa típica para vagas de Risk Analyst.

$108,000 a mediana $165,500 $217,125

Faixa típica $163,813–$203,063/yr, com base em 16 vagas de Risk Analyst comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Risk Analyst →

Sobre a PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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