Associate Partner, Data and Technology...

IBM
Seattle, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Seattle, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Azure
Big Data
Google BigQuery
Cloud Computing
Cloud Storage
Data as a Services
Information Engineering
Data Flow Control
Information Management
Machine Learning
Cloud Services
Cloudera
Azure
Google Cloud Platform
Generative AI
HybridCloud
Data Strategy
Data Analytics
Data Pipelines
Databricks

Requirements

  • 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.

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