Tax Innovation & Delivery Experience - Data Engineering - Senior Manager

PricewaterhouseCoopers•Melville, NY

14h•Remote

About The Position

As a Tax Innovation & Delivery Experience - Data Engineering - Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Manager, you will leverage your skills and professional networks to deliver quality results. You will motivate and coach teams to solve complex problems, applying sound judgment to recognize when to take action and when to escalate. Your ability to develop and sustain high-performing, diverse, and inclusive teams, along with your commitment to excellence, contributes to the success of our firm. In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story. You will apply systems thinking to identify underlying problems and opportunities, validate outcomes with clients, and act on feedback. Directing teams through complexity, you will demonstrate composure in ambiguous situations, deepen your expertise, and initiate open coaching conversations at all levels.

Requirements

At least a Bachelor's degree
At least 6 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Leveraging advanced skills in data engineering platforms and tools
Utilizing Amazon Web Services (AWS) and Microsoft Azure for data solutions
Applying systems thinking to identify and solve complex data challenges
Demonstrating proficiency in data architecture development and optimization
Excelling in coaching and feedback to develop high-performing teams
Innovating data strategies to drive operational excellence

Responsibilities

Leading the design and development of data infrastructure and systems to facilitate efficient data processing and analysis
Developing and implementing data pipelines, integration, and transformation solutions to support client needs
Utilizing advanced technologies and techniques to transform raw data into actionable insights for informed decision-making
Building and maintaining scalable data architectures using platforms such as Azure Data Factory and Snowflake
Overseeing the deployment of data engineering solutions, confirming data quality and security
Collaborating with cross-functional teams to address complex data challenges and drive business growth
Applying systems thinking to identify underlying problems and opportunities within data processes
Coaching and mentoring team members to enhance their skills and contribute to high-performing teams
Validating outcomes with clients and incorporating feedback to refine data solutions
Directing teams through complex and ambiguous situations, maintaining composure and focus on objectives