Associate Partner, Data and Technology Transformation

• Introduction
• A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.

You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

• Your role and responsibilities
• IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors.

This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.

You will bring together deep industry expertise and IBM's portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.

This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale."

Hybrid:

Your work location of City, State was assigned based on business need and currently your role designated as a hybrid role. Hybrid roles are expected to perform their primary duties from a combination of IBM location, client sites or work at home. The required number of days to be in the office is to be determined by your management team. Any changes to this work arrangement must be preapproved by your manager before any changes are made. This Job can be performed from anywhere in the US."

• Required technical and professional expertise
• Qualifications
• 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.