Associate Partner - Data Services

Introduction

As an Associate Partner in IBM Consulting, you are a market-facing business leader responsible for driving revenue growth, shaping client transformation agendas, and scaling IBM’s Data practice within the Distribution sector (Retail, CPG, Logistics).

You are expected to operate as a trusted C-suite advisor, strategic seller, and program executive—with accountability for both bookings and delivery outcomes.

Your role and responsibilities

This role blends sales leadership, executive advisory, and large-scale delivery ownership. You will originate and close complex deals, lead enterprise AI transformations, and build sustainable, high-margin growth powered by IBM watsonx, hybrid cloud, and modern data platforms.

Required technical and professional expertise

1. Revenue Ownership & Market Growth

• Own and deliver $10M+ annual bookings in Data & AI services

• Build and maintain 3-5x qualified pipeline coverage

• Originate, shape, and close large, complex deals ($5M-$20M+)

• Drive net-new logo acquisition alongside account expansion

• Lead deal strategy, commercial structuring, pricing, and negotiations

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1. Industry & Client Leadership (Distribution Focus)

• Bring deep expertise in Distribution (Retail, CPG, Supply Chain, Logistics)

• Leverage existing CXO relationships and build new executive connections

• Advise clients on AI-led transformation use cases, including:

• Demand forecasting & supply chain optimization

• Pricing & promotion optimization

• Customer analytics & personalization

• Shape data- and AI-driven business transformation roadmaps

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1. Hyperscaler & Ecosystem Leadership

• Build and execute joint GTM strategies with AWS, Microsoft Azure, and Google Cloud

• Leverage co-sell programs, marketplace motions, and partner funding (e.g., MAP, Azure credits)

• Collaborate with Snowflake, Databricks, and other ecosystem partners to accelerate deals

• Create joint pipeline opportunities and influence partner-driven revenue

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1. Data, AI & Platform Leadership

• Lead solutioning across enterprise data platforms, lakehouse architectures, and hybrid cloud

• Drive adoption of GenAI, agentic AI, advanced analytics, and automation

• Architect solutions leveraging watsonx, hyperscaler AI services, Snowflake, and Databricks

• Embed Responsible AI, governance frameworks, and model risk management

• Align data modernization efforts with scalable AI adoption

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1. Engagement & Delivery Leadership

• Act as Executive Sponsor / Project Executive for large-scale transformation programs

• Own delivery outcomes, client satisfaction, revenue, margin, and risk management

• Lead complex global delivery models, leveraging offshore and distributed teams

• Drive program governance, escalation management, and turnaround efforts for at-risk engagements

• Ensure realization of measurable business outcomes (ROI, cost savings, revenue uplift)

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1. Commercial & Financial Leadership

• Own portfolio-level P&L, including revenue growth and margin expansion

• Structure multi-year, annuity-based and managed services deals

• Drive AI FinOps, including compute, token consumption, and cost optimization strategies

• Integrate token economics into pricing and solution positioning

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1. Practice Building & Innovation

• Build scalable offerings, accelerators, and reusable IP

• Develop industry-specific AI solutions and frameworks

• Drive cross-account adoption and repeatable growth playbooks

• Collaborate across IBM Consulting, Software, and ecosystem teams

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1. Talent & Organizational Leadership

• Lead, mentor, and grow multidisciplinary teams across data, AI, and consulting

• Build next-generation leadership bench strength

• Develop and scale communities of practice

• Attract and retain top talent in a highly competitive AI market

1. Thought Leadership & Eminence

• Publish points of view on Data & AI, governance, and enterprise transformation

• Represent IBM at industry forums, client events, and executive briefings

• Position IBM as a leader in applied AI for the Distribution sector

Preferred technical and professional experience

• Proven track record of owning and delivering $10M+ annual bookings

• Strong experience in Data, AI, GenAI, and advanced analytics consulting

• Deep understanding of enterprise data architectures and modernization (lakehouse, governance, integration)

• Experience leading large, complex transformation deals ($5M-$20M+)

• Demonstrated success in hyperscaler co-sell and ecosystem partnerships

• Familiarity with Snowflake, Databricks, and cloud-native data platforms

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.