At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's 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.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive remarkable client outcomes. As a Manager you will supervise, develop, and coach teams while managing client service accounts, securing the delivery of quality results that meet and exceed expectations. This role offers the chance to cultivate powerful client relationships and drive continuous improvement initiatives, all while embracing technology and innovation to enhance project delivery.
Responsibilities
- Manage client accounts and secure the delivery of exceptional results
- Foster sturdy relationships with clients to understand their needs
- Analyze complex data sets to derive actionable insights
- Confirm adherence to quality standards and established practices in deliverables
What You Must Have
- High School Diploma
- At least 4 years of experience
What Sets You Apart
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Demonstrating exceptional team leadership abilities
- Managing client service accounts to deliver exceptional outcomes
- Fostering a collaborative environment for innovation
- Analyzing complex data sets for actionable insights
- Implementing industry standards for project management
- Cultivating relationships with clients to understand needs
- Driving continuous improvement initiatives within teams
- Understanding production-grade quality gates and monitoring
The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. 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.
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.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage.