Associate Partner, Data and Technology Transformation

IBM

Hybrid

Quick summary

Work type: Hybrid
Location: NJ
Posted: 7 days ago
Nearby: 97 roles within 25 mi

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How this pay compares to similar roles

Similar $173k

$125k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $133,975–$211,200.

Based on 240 similar postings.

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TL;DR · Associate Partner, Data and Technology Transformation

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As an Associate Partner in Data and Technology Transformation at a leading consulting firm based in Paramus, NJ, you will join a dynamic team of experts focused on helping clients across various industries transform their data strategies. Your primary responsibilities include designing and implementing advanced analytics solutions, developing scalable data architectures, and advising on the adoption of cutting-edge technologies such as cloud platforms, AI, and machine learning. You will work closely with cross-functional teams to understand complex business challenges and deliver innovative technology-driven solutions that drive growth and efficiency. The ideal candidate possesses strong experience in Python, SQL, and other relevant programming languages, along with a deep understanding of big data tools like Hadoop and Spark. This role offers the opportunity to tackle large-scale projects and contribute to significant organizational changes within Fortune 500 companies.

Skills

SQL Python AWS Azure Kubernetes Docker CI/CD Git Jenkins Terraform PostgreSQL MongoDB Scrum Agile

What you'll do

Lead data and technology transformation projects for clients in various industries.
Develop strategic roadmaps to drive digital innovation and business growth.
Analyze complex business problems and design scalable technological solutions.
Manage project teams and ensure successful delivery of client engagements.
Stay updated with emerging technologies and industry trends to enhance services.

What we're looking for

Minimum 10 years of experience in data management and technology transformation.
Proven track record in leading complex digital projects for enterprise clients.
Strong expertise in cloud computing platforms such as AWS or Azure.
Excellent understanding of big data technologies and analytics solutions.
Demonstrated ability to develop and implement strategic business plans.