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

PricewaterhouseCoopers•Seattle, WA

4d•Hybrid

About The Position

PricewaterhouseCoopers Advisory Services LLC is hiring a Manager, Data and Analytics Engineering in Seattle, Washington. The role designs and builds scalable data infrastructure and systems for reliable, efficient data processing, integration, and analysis. It develops end-to-end data pipelines, performs data transformation and validation, and supports technical solutions aligned with client needs and business goals. The manager contributes to innovation by evaluating emerging technologies, collaborates with cross-functional teams on project delivery, guides junior staff, establishes client relationships and professional networks, and supervises and coaches teams. The position permits 50% telecommuting, but the employee must be able to commute to the designated local office. Domestic and/or international travel of up to 80% is required. The schedule is 40 hours per week, Monday through Friday, 8:30 a.m. to 5:30 p.m. Multiple positions are available.

Requirements

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; alternatively, a master’s degree or foreign equivalent in one of those fields plus 3 years of related work experience.
At least 1 year of experience architecting enterprise data pipelines and crafting code in SQL and Python.
At least 1 year of experience developing and implementing AI-enhanced architectures, including GenAI and agentic solutions, using techniques such as RAG, AI agents, and prompt engineering to optimize LLM outputs.
At least 1 year of experience architecting, deploying, and managing scalable cloud-based data solutions using AWS, Microsoft Azure, and GCP.
At least 1 year of experience with SDLCs such as Agile and Scrum methodologies, and API-based data acquisition and management.
Must be able to commute to the designated local office.

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 using modern technologies and tools.
Perform data transformation, validation, and quality assurance to ensure accuracy and consistency.
Support development of technical solutions that align with client needs and business goals.
Explore emerging technologies and propose practical applications.
Collaborate with cross-functional teams and assist in project delivery.
Provide guidance to junior staff as needed.
Establish and maintain client relationships and professional networks.
Supervise and coach teams.