People Tech – System Architect-Data Science Senior Manager

PwC is hiring a People Tech System Architect‑Data Science Senior Manager in Five Points, Wake County, US. Lead the design and delivery of advanced data and machine‑learning solutions while guiding a high‑performing analytics team.

Key Responsibilities

• Architect end‑to‑end data science platforms, ensuring scalability, security and compliance.
• Lead the development of predictive models, AI/ML pipelines and analytics dashboards for client engagements.
• Collaborate with business stakeholders to translate strategic goals into technical roadmaps.
• Mentor and grow a multidisciplinary team of data engineers, scientists and analysts.
• Drive best‑practice standards for data governance, model validation and performance monitoring.
• Manage up to 20% travel to client sites and internal PwC locations.

Required Qualifications

• 10+ years of experience in data science, machine‑learning engineering or related fields.
• Proven expertise in cloud platforms (AWS, Azure, GCP) and big‑data technologies (Spark, Hadoop, Snowflake).
• Strong programming skills in Python, R, SQL and experience with ML libraries (TensorFlow, PyTorch, scikit‑learn).
• Demonstrated ability to design and implement enterprise‑grade analytics architectures.
• Excellent communication and stakeholder management skills.
• Bachelor’s degree in Computer Science, Statistics, Engineering or a related discipline; advanced degree preferred.

What We Offer

• Competitive annual salary of $219,657.06.
• Full‑time role with comprehensive benefits and professional development opportunities.
• Dynamic, inclusive culture that values innovation and continuous learning.

Frequently Asked Questions

What type of projects will I work on?

You will design and implement data science platforms, build predictive models, and deliver AI‑driven insights for a variety of client industries.

How much travel is required?

The role requires up to 20% travel to client locations and PwC offices.

What qualifications are essential?

At least 10 years of data science or ML engineering experience, strong cloud and programming skills, and a relevant bachelor’s degree (advanced degree preferred).