Associate Director, Agentic AI & Data Ops (Hybrid)

Merck & Co.; Rahway (NJ); Hybrid; USD 142,000 - 224,000; Full time

Benefits offered by this job

Annual bonus

Long‑term incentive

401(k)

Job summary

Merck & Co. seeks an Associate Director of Digital Operations Agentic Intelligence in a hybrid role. Lead intelligent agents, data products, and AI-enabled workflows, guiding governance, design reviews, and adoption across DSCS.

Requires strong Python/SQL, Databricks, data pipelines, and enterprise AI experience. Role focuses on strategy, delivery, and talent development, balancing business value with risk.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
• Advanced degree (M.S. or Ph.D.) preferred, or equivalent experience.
• Experience leading projects and teams in data/AI environments.

Responsibilities

• Direct design, delivery, and lifecycle governance of intelligent agents and AI-enabled workflows.
• Set direction for data pipelines, semantic layers, and reusable data products for AI readiness.
• Oversee dashboards, applications, and workflow automations for day-to-day decision making.
• Define reference architectures and integration patterns for agentic and data solutions.
• Establish evaluation frameworks, test strategies, and governance for secure and responsible AI deployments.

Skills

Data compliance

Data-driven decision making

Data management platforms

Data structures

Design for maintainability

Drug product development

Estimation & planning

GitHub

AI tooling & coding assistants

Manufacturing quality control

Prioritization

Process control automation

Production system

Python

SQL databases

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, IT or related field

Tools

GitHub

Copilot Studio

Gemini/Vertex AI

Power Platform

Job description

Merck & Co. seeks an Associate Director of Digital Operations Agentic Intelligence in a hybrid role. Lead intelligent agents, data products, and AI-enabled workflows, guiding governance, design reviews, and adoption across DSCS.

Requires strong Python/SQL, Databricks, data pipelines, and enterprise AI experience. Role focuses on strategy, delivery, and talent development, balancing business value with risk.