Manager, Data and Analytics Engineering, PricewaterhouseCoopers Advisory Services LLC, Seattle, WA

Industry/Sector Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

Manager, Data and Analytics Engineering, PricewaterhouseCoopers Advisory Services LLC, Seattle, WA.

Responsibilities

Design and build scalable data infrastructure and systems to support reliable and efficient data processing, integration, and analysis. Develop and implement end-to-end data pipelines, leveraging modern technologies and tools. Perform data transformation, validation, and quality assurance to ensure accuracy and consistency. Support the development of technical solutions that align with client needs and business goals. Contribute to innovation by exploring emerging technologies and proposing practical applications. Collaborate closely with cross-functional teams, assist in project delivery, and provide guidance to junior staff as needed. Establish and maintain client relationships and professional networks. Supervise and coach teams.

What You Must Have

Must have a Bachelor’s degree or foreign equivalent in Business Analytics, Engineering, Computer Science, Management Information Systems, or a related field plus 5 years of post-bachelor’s, progressive related work experience.

In the alternative, the employer will accept a Master’s degree or foreign equivalent in Business Analytics, Engineering, Computer Science, Management Information Systems, or a related field, plus 3 years of related work experience.

Must have at least one year of experience with each of the following:

• Architecting Enterprise data pipelines and crafting code in Standard Query Language (SQL) and Python;

• Developing and implementing Artificial Intelligence (AI) enhanced architectures, including Generative AI (GenAI) and agentic solutions by leveraging techniques such as Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering to optimize Large Language Model (LLM) outputs;

• Architecting, deploying, and managing scalable Cloud-based data solutions using Amazon Web Services (AWS), Microsoft (MS) Azure, and the Google Cloud Platform (GCP); and

• Engaging with the Systems Development Lifecycles (SDLCs) such as Agile and Scrum methodologies and Application Programming Interface (API) based data acquisition and management.

50 % telecommuting permitted. Must be able to commute to the designated local office.

Travel requirement(s): Domestic and/or international travel up to 80% required.

Multiple positions available. 40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.

The salary range for this position is: $149,989 - $175,000. 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: . REQ No: WA4993

Travel Requirements

Up to 80%

Job Posting End Date

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: more about how we work: 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.