Data Validation Risk - Director

PwC•Washington, DC

1d•$155,000 - $410,000•Onsite

About The Position

As a Data Validation Risk Director, you will lead efforts within our Risk & Regulatory practice to leverage data and analytics for driving insights and informed business decisions. You will utilize advanced analytical techniques to help clients optimize their operations and achieve strategic goals. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will translate the vision, set the tone, and inspire others to follow, driving business growth and shaping client engagements. In this role at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to our success. You will create a healthy working environment while maximizing client satisfaction, cultivating potential in others, and actively teaming across the PwC Network to leverage collective strength.

Requirements

At least a Bachelor's degree
At least 8 years of experience

Nice To Haves

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 complex data analysis and data validation
Utilizing advanced skills in data visualization tools like Tableau
Leading strategic initiatives in data-driven decision-making environments
Cultivating executive-level client relationships and driving business growth
Promoting technological advances to enhance data integrity and security

Responsibilities

Leading data validation and risk management initiatives to support client engagements
Utilizing advanced analytics techniques to extract insights from complex datasets
Driving the development and implementation of data-driven strategies to optimize client operations
Overseeing the integration and manipulation of data using tools like Alteryx and Python
Guiding teams in the creation of dashboards and visualizations using Power BI and Tableau
Promoting the use of predictive analytics and statistical modeling to solve business challenges
Confirming data integrity and security within analytics frameworks
Mentoring and developing the next generation of leaders in data analysis
Collaborating with stakeholders to identify and address data quality improvement opportunities
Cultivating relationships with clients to enhance satisfaction and drive business growth