Associate Partner - Data Services

IntroductionAs 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 responsibilitiesRequired technical and professional expertiseRevenue Ownership & Market GrowthOwn 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 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 Hyperscaler & Ecosystem LeadershipBuild 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 Data, AI & Platform LeadershipLead 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 Engagement & Delivery LeadershipAct 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) Commercial & Financial LeadershipOwn 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 Practice Building & InnovationBuild 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 Talent & Organizational LeadershipLead, 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 Thought Leadership & EminencePublish 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 experienceProven 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.#J-18808-Ljbffr