Associate Partner - Tech Industry Data & AI

IBM

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 41 days ago

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Similar $196k

$142k most similar roles pay here $246k

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Associate Partner - Tech Industry Data & AI

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As an Associate Partner in the Tech Industry Data & AI team based in Houston, you will lead complex engagements for semiconductor clients, driving growth through advanced analytics and AI solutions. Your day-to-day responsibilities include shaping enterprise data strategies, managing cross-functional teams, and delivering large-scale data platform implementations such as cloud-native ecosystems and real-time streaming pipelines. You will need deep expertise in modern Data & AI platforms, including hands-on experience with distributed data processing, ML lifecycle management, and hybrid/multi-cloud architectures. Strong semiconductor industry knowledge is essential, particularly in areas like wafer fabrication and supply chain analytics, alongside proven success in delivering data and analytics solutions within manufacturing contexts.

Skills

AWS Azure Google Cloud CI/CD MES Python SQL Kubernetes Terraform Docker Prometheus Grafana PostgreSQL Snowflake Apache Spark Hadoop Airflow GenAI Agentic AI SIView MES

What you'll do

Drive end-to-end delivery of complex Data & AI programs for semiconductor clients.
Shape enterprise data strategies and AI adoption roadmaps aligned with industry priorities.
Architect modern data ecosystems including cloud-native platforms and governed data products.
Lead technical sales and solution development, translating client challenges into scalable solutions.
Establish robust governance frameworks for trusted data foundations in regulated operations.

What we're looking for

15+ years of experience in Data, Analytics, AI/GenAI/Agentic AI, and enterprise technology leadership.
Deep expertise in modern data & AI platforms, including advanced analytics, complex data modeling, and ML lifecycle management.
Strong semiconductor industry experience with knowledge of data and AI use cases across wafer fabrication, manufacturing operations, supply chain, product engineering, and commercial analytics.
Hands-on knowledge of large-scale data engineering, distributed data processing, real-time streaming architectures, and secure data sharing.
Experience designing cloud-native data platforms and hybrid/multi-cloud architectures in major ecosystems (AWS, Azure, Google Cloud).
Proven ability to combine technical depth with client-facing leadership, driving solution sales and delivery outcomes for strategic enterprise clients.

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