People Tech – System Architect-Data Science Senior Manager

PwC is hiring a People Tech – System Architect-Data Science Senior Manager in Edgewood, Richland County, US. This senior leadership role guides data science and machine‑learning engineering teams to build scalable, enterprise‑grade data platforms for high‑impact client projects.

Key Responsibilities

• Architect end‑to‑end data science solutions, including data pipelines, model deployment frameworks, and analytics dashboards.
• Lead cross‑functional teams of data engineers, scientists, and developers to deliver high‑quality, production‑ready models.
• Define technical standards, best practices, and governance for data science initiatives across the firm.
• Collaborate with client stakeholders to translate business problems into scalable analytics solutions.
• Drive innovation by evaluating emerging technologies such as AI, MLOps, and cloud‑native data services.
• Mentor junior staff, conduct technical trainings, and foster a culture of continuous learning.
• Manage up to 20% travel for client engagements and on‑site workshops.

Required Qualifications

• 10+ years of experience in data science, machine‑learning engineering, or related fields.
• Proven expertise in designing and implementing large‑scale data architectures on cloud platforms (AWS, Azure, GCP).
• Strong programming skills in Python, Scala, or Java and hands‑on experience with Spark, Kafka, and containerization (Docker/Kubernetes).
• Deep understanding of statistical modeling, NLP, computer vision, and MLOps pipelines.
• Excellent communication and leadership abilities, with a track record of managing senior technical teams.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related discipline; PhD is a plus.

What We Offer

• Competitive annual salary of $195,474.02.
• Comprehensive health, dental, and vision benefits.
• Professional development budget and certification support.
• Flexible hybrid work environment.

Frequently Asked Questions

What type of projects will I work on in this role?

You will design and implement enterprise‑grade data pipelines, machine‑learning models, and analytics platforms for a variety of client industries, turning raw data into actionable insights.

Is travel required for this position?

Yes, the role involves up to 20% travel to client sites for workshops, solution design sessions, and project implementation.

What qualifications are essential for success?

At least 10 years of data science or ML engineering experience, strong cloud and big‑data technology skills, proven leadership, and a relevant degree are essential.