Associate Partner, Data and Technology Transformation

IBM

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

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Similar $173k

$126k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $134,750–$211,681.

Based on 240 similar postings.

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TL;DR · Associate Partner, Data and Technology Transformation

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The role of Associate Partner in Data and Technology Transformation is based in Chicago and involves working closely with a dynamic team to drive digital innovation and data-driven solutions for clients. As an associate partner, you will lead projects focused on leveraging advanced analytics, AI, and cloud technologies to solve complex business challenges. Your day-to-day responsibilities include designing scalable data architectures, implementing machine learning models, and advising clients on best practices in technology adoption. The ideal candidate should have expertise in Python or R for data analysis, proficiency with cloud platforms like AWS or Azure, and a strong understanding of database management systems such as SQL Server or Oracle. This role requires experience in the financial services or healthcare sectors, where large-scale data transformation initiatives are critical to business success.

Skills

SQL Python AWS Azure Kubernetes Docker CI/CD Git Jira Scrum

What you'll do

Lead data and technology transformation projects for clients in various industries.
Develop strategic roadmaps to integrate advanced technologies into business operations.
Analyze client needs to design scalable and secure data solutions.
Manage project teams and ensure timely delivery of high-quality deliverables.
Stay updated with the latest trends in data analytics, AI, and cloud computing.

What we're looking for

Minimum 10 years of experience in data management and technology solutions.
Proven track record in leading complex digital transformation projects.
Strong expertise in cloud technologies such as AWS, Azure, or Google Cloud.
Excellent knowledge of big data analytics tools and platforms.
Experience in developing and implementing enterprise-level data strategies.

Hybrid

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