Associate Director, Digital Transformation & AI Enablement

MSD

Rahway (NJ)

Hybrid

USD 129,000 - 203,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Paid Holidays

Vacation & Sick Days

Job summary

Merck seeks an Associate Director, Digital Transformation to build the digital foundation enabling AI-powered capabilities across Global Sourcing & Procurement. You will connect processes, systems, and data into a unified experience, driving automation, analytics, and scalable solutions.

This role blends business strategy with technology architecture and hands-on development. You will shape user interactions with the digital ecosystem while establishing data and process frameworks for future AI

Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Business, or a related field.
8+ years of experience in digital transformation, technology, analytics, process improvement, product management, consulting, or related disciplines.
Experience working across enterprise platforms, data ecosystems, analytics solutions, and business processes to deliver end-to-end business outcomes.
Hands-on experience with SAP, ERP platforms, SQL, Databricks, Power Platform, Celonis, analytics solutions, or comparable technologies.

Responsibilities

Map and connect the end-to-end ecosystem of processes, systems, data, analytics, and user experiences across Global Supplier Management & Procurement.
Take an end-to-end view of how work flows across functions, systems, and teams, ensuring optimal user experience.
Orchestrate the connection between business priorities, digital initiatives, reporting, applications, and a Databricks-powered data foundation to accelerate value.
Drive alignment, accountability, and performance across business, operations, and technology stakeholders with transparent metrics.
Turn ideas into impact through hands-on development of prototypes, analytics, automation, and scalable solutions using SQL, Databricks, Power Platform, Celonis, SAP, and AI-enabled technologies.