Lead design and delivery of data infrastructure, pipelines, and scalable architectures (Snowflake, Azure Data Factory). Oversee data quality, security, and deployment, collaborate cross-functionally, and coach teams to solve complex data challenges and validate client outcomes.
The Opportunity
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.
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
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- 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
The salary range for this position is: $124,000 - $335,000. 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 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.
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
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- 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
The salary range for this position is: $124,000 - $335,000. 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 New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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