Lead data validation and risk management projects using advanced analytics, data pipelines, visualization, and predictive modeling. Mentor teams, implement data quality improvements, and deliver scalable data solutions to meet client objectives.
The Opportunity
As a Data Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice, focusing on leveraging advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. 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
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
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data validation and risk analysis
- Utilizing advanced data visualization tools like Tableau and Power BI
- Excelling in complex data analysis and predictive modeling
- Embracing technology and innovation to enhance client delivery
- Mentoring team members to develop skills outside their comfort zone
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.
As a Data Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice, focusing on leveraging advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. 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
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
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data validation and risk analysis
- Utilizing advanced data visualization tools like Tableau and Power BI
- Excelling in complex data analysis and predictive modeling
- Embracing technology and innovation to enhance client delivery
- Mentoring team members to develop skills outside their comfort zone
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.
PwC El Segundo, California, USA Office
2141 Rosecrans Avenue Suite 5100, El Segundo, CA, United States, 90245
PwC Irvine, California, USA Office
2020 Main Street Suite 400, Irvine, CA, United States, 92614
PwC Los Angeles, California, USA Office
601 South Figueroa Street Suite 900, Los Angeles, CA, United States, 90017
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and deliver specialized tax strategies focused on R&D tax credits, accounting methods, and fixed-assets. Manage client engagements, budgets, and project delivery; mentor and coach teams; analyze complex tax regulations to identify optimization opportunities; maintain quality, build client relationships, and promote technology-driven innovation.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead payer operations and transformation engagements for health services clients. Analyze business data, develop performance metrics, drive process optimization, engage stakeholders, support operations strategy, conduct market research, and mentor team members to deliver operational improvements and modernization.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provide tax planning, compliance, and advisory services for asset and wealth management clients. Lead digitization and automation efforts, analyse complex tax issues, interpret data, build client relationships, mentor junior staff, review contracts/pricing, and maintain professional and technical standards (including CPA licensure requirements).
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
