Enterprise Data Science Architect & Strategy Leader

UKG; Lowell (MA); On-site; USD 150,000 - 200,000; Full time

Job summary

UKG is seeking a strategic leader to oversee data science initiatives and drive architectural developments across all product areas. This role requires setting company-wide technical standards and fostering innovation in AI/ML technologies for competitive advantage.

Ideal candidates will possess a PhD in a quantitative field or a Master's with extensive experience in data science, complemented by a strong reputation in the AI/ML community. Responsibilities include mentoring talent and influencing high-level decisions within the organization.

Qualifications

• PhD in a quantitative field plus 8+ years of experience or Master's degree plus 12+ years in data science or a related discipline.
• Recognized technical authority in the broader data science community.
• Proven ability to influence executive-level decisions and represent data science strategically.

Responsibilities

• Architect DS systems at a company scale and create architectural patterns for long-term evolution.
• Identify company-wide opportunities for DS impact and execute initiatives for competitive advantage.
• Define the company-wide agent development strategy and evaluate AI/ML transformational opportunities.

Skills

Data Science

Machine Learning

AI/ML Frameworks

Cloud Platforms

MLOps

Governance and Compliance

Education

PhD in a quantitative field

Master's degree in a closely related discipline

Tools

BigQuery

Agent Platform

Job description

UKG is seeking a strategic leader to oversee data science initiatives and drive architectural developments across all product areas. This role requires setting company-wide technical standards and fostering innovation in AI/ML technologies for competitive advantage.

Ideal candidates will possess a PhD in a quantitative field or a Master's with extensive experience in data science, complemented by a strong reputation in the AI/ML community. Responsibilities include mentoring talent and influencing high-level decisions within the organization.