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

PricewaterhouseCoopers•Seattle, WA

1d•Hybrid

About The Position

PricewaterhouseCoopers Advisory Services LLC is hiring a Manager, Data and Analytics Engineering in Seattle, Washington. This full-time position permits 50% telecommuting, with the employee required to commute to the designated local office. Domestic and/or international travel of up to 80% is required. The role designs and builds scalable data infrastructure and systems for reliable and efficient data processing, integration, and analysis. It develops end-to-end data pipelines, performs data transformation and validation, and supports technical solutions that meet client needs and business goals. The manager also explores emerging technologies, collaborates across teams on project delivery, guides junior staff, builds client relationships, and supervises and coaches teams. The salary range is $149,989–$175,000. Hired individuals are eligible for an annual discretionary bonus. PwC offers medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and other benefits.

Requirements

Bachelor’s degree or foreign equivalent in Business Analytics, Engineering, Computer Science, Management Information Systems, or a related field, plus 5 years of progressive, related post-bachelor’s work experience; alternatively, a master’s degree or foreign equivalent in one of these fields or a related field, 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 engaging with SDLCs, including 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 for reliable, 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 aligned 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.