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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Partner, Data and Technology Transformation - **Company:** IBM - **Location:** Houston, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Storage, Data as a Services, Information Engineering, Data Flow Control, Information Management, Machine Learning, Cloud Services, Cloudera, Azure Data Lake, Google Cloud, Generative AI, HybridCloud, Data Strategy, Data Analytics, Data Pipelines, Databricks - **Published:** August 26, 2026 - **Apply:** https://dejobs.org/x/x/EC058230D6724BB499F4F0871FCEE862/job/ ## About the Role * 12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors. * Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures. * Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with: * AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker) * Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services) * Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI) * Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms. * Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks. * Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs. * Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance. * Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives. * Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability. * Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams. Preferred technical and professional experience * Deep Cloud Domain Knowledge: Experience with cloud infrastructure, migration, and management, with the ability to articulate cloud solutions that meet client needs. * Data Analytics Expertise: Deep understanding of data analytics, AI, and machine learning, with the ability to design and deliver data-driven solutions. * IT Service Management: Experience with IT service management frameworks and methodologies, with the ability to apply them to hybrid cloud and data services. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Making Data Warehouses fast. 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