Associate Partner, Data and Technology Transformation
Listed on 2026-01-03
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IT/Tech
Data Science Manager, Data Analyst
Introduction Your role and responsibilities About the Opportunity
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.
Key Responsibilities Market Leadership & GrowthExpand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.
Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.
Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.
Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.
Architect integrated solutions that include:
Migration from legacy data platforms to modern cloud-based architectures
Data engineering and Information governance
Business intelligence and advanced analytics
GenAI-powered and agentic AI-driven automation and decisioning
Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.
Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.
Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.
Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.
Recruit, mentor, and grow top-tier consultants, architects, and data specialists.
Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.
Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.
Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.
Represent IBM at industry conferences, client events, webinars, and executive round tables.
Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.
This position can be preformed anywhere in the US.
"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."
Required technical and professional expertise Qualifications12+ 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, Sage Maker)
Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory,…
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