Senior Enterprise AI & Data Science Ops Lead (Pharma)

Smith Hanley; Waltham (MA); On-site; USD 170,000 - 180,000; Full time

Job summary

Smith Hanley is seeking an AD, Enterprise Data Science & AI Operations for a mid-size pharma client in Greater Boston, MA. The role sits at the intersection of advanced analytics, digital product development, and operational transformation—driving measurable impact across the pharmaceutical value chain.

You will build and deploy AI/ML, optimization, and analytics solutions at enterprise scale, leading analytics initiatives across supply chain, manufacturing, and planning, and partnering with

Qualifications

• 10+ years of pharma analytics experience with measurable business impact.
• Strong expertise in Python, SQL, ML frameworks, and cloud-native development (AWS).
• Experience with optimization tools (OR-Tools, Gurobi, Pyomo) is highly preferred.
• Deep understanding of ML, GenAI/LLMs, MLOps, and scalable AI systems.
• Excellent communication, stakeholder management, and leadership abilities.

Responsibilities

• Build and deploy AI/ML, optimization, and advanced analytics solutions at enterprise scale.
• Lead high-impact analytics initiatives across supply chain, manufacturing, logistics, and planning.
• Drive adoption of AI and data science capabilities across the organization.
• Partner with business leaders to solve complex operational challenges.

Skills

PHARMA Data Analytics

Python

SQL

ML frameworks

GenAI/LLMs

MLOps

AWS cloud-native development

Optimization

Communication & leadership

Tools

Python

SQL

AWS

OR-Tools

Gurobi

Pyomo

GenAI/LLMs

MLOps

ML frameworks

Job description

Smith Hanley is seeking an AD, Enterprise Data Science & AI Operations for a mid-size pharma client in Greater Boston, MA. The role sits at the intersection of advanced analytics, digital product development, and operational transformation—driving measurable impact across the pharmaceutical value chain.

You will build and deploy AI/ML, optimization, and analytics solutions at enterprise scale, leading analytics initiatives across supply chain, manufacturing, and planning, and partnering with