Customer Success Engineer - Federal - Data and AI

Introduction At IBM Technology Sales, we help clients turn complex challenges into business outcomes by connecting innovative technologies to real‑world needs. As the pace of change accelerates across AI, automation, data, security, and hybrid cloud, we work alongside clients to identify opportunities, solve problems, and drive meaningful transformation. Joining IBM Technology Sales means being at the forefront of innovation, partnering with business leaders, architects, developers, and technical experts to deliver solutions that create measurable value. You’ll gain exposure to a broad portfolio of industry‑leading technologies while developing deep expertise in emerging market trends and client challenges. Our culture is built on curiosity, collaboration, and continuous learning, empowering you to grow your skills, expand your impact, and build trusted relationships with clients. At IBM, you’ll have the opportunity to shape technology strategies, influence business outcomes, and help organizations navigate one of the most significant technology shifts in history. Your role and responsibilities As a Customer Success Engineering: AI/BA professional, you will play a crucial role in supporting analytics and AI customers. This role involves driving outcomes and long‑term success, which may require collaboration and client‑facing interactions to deliver solutions. Your primary responsibilities will include: Supporting Customers: Support analytics and AI customers to drive outcomes and long‑term success. Driving Success: Drive outcomes and long‑term success for customers, focusing on their analytics and AI needs. Required technical and professional expertise Experience translating business and mission requirements into deployable technical solutions. Strong expertise in Data, AI, and Business Analytics, with a customer‑focused approach and ability to drive adoption and measurable outcomes. Experience with solution architecture, technical workshops, demos/POCs, and implementation roadmaps. Ability to remove technical barriers, align solutions to client goals, and communicate IBM’s value to technical and executive stakeholders. Ability to advise on emerging technologies and drive adoption of AI, analytics, automation, and data‑driven decision‑making. Experience with modern AI/data platforms, including AI assistants/agents, orchestration, governance, business analytics, and hybrid cloud. Experience operationalizing AI across data readiness, governance, deployment, orchestration, monitoring, and value realization. Experience collaborating across teams and contributing to briefings, RFIs, and RFPs. Strong communication and presentation skills with the ability to lead consultative technical engagements. Preferred technical and professional experience Familiarity with IBM’s Data and AI portfolio (e.g., watsonx, analytics, AI governance, AI platforms). Experience supporting U.S. Federal Government agencies, including knowledge of mission environments, compliance/security frameworks, acquisition processes, and enterprise deployment challenges. Knowledge of Federal AI initiatives, data modernization efforts, and cloud adoption strategies. Active U.S. Government security clearance or willingness/eligibility to obtain one. Experience in classified or regulated environments and working with government stakeholders, systems integrators, and mission partners. 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 IBM Computing