\\\\Introduction\\\\ At IBM, we believe technology shapes the world. Were a catalyst for that innovation. Were driving change that improves businesses, society, and the human experience. Our Marketing, Communications & Corporate Social Responsibility (MCC) team tells this story. We shape IBMs brand, capture attention in the market, and share our perspective with clients, partners, the media, and fellow IBMers. On our team, youll work with bright, collaborative minds who bring passion and creativity to everything they do. Youll be part of a culture built on openness, trust, and teamwork. Where your ideas matter and your growth is supported. Join us and help bring innovation to life. \\\\Your role and responsibilities\\\\ We are building a small, elite AI strike team embedded in the Marketing, Communications, and CSR (MCC) Strategy & Operations team. The mission is to move fast, explore whats possible with agentic and conversational AI, and prove value quicklybefore anything is scaled or productionized elsewhere. This team operates as a rapid-action unit focused on experimentation, learning, and proof-of-value rather than long-term platforms or production systems. In this role, you enable speed. You provide just-enough data pipelines and integrations to ensure AI experiments can move forward quickly and credibly. THIS ROLE IS A speed enabler for AI and automation experimentation Focused on data readiness, access, and feasibility Embedded in a small, elite delivery team Optimized for rapid iteration THIS ROLE IS NOT A long-term data platform ownership role A heavy governance or compliance function A traditional BI or reporting role KEY RESPONSIBILITIES Build fast, flexible data pipelines to support AI POCs Integrate marketing, operational, and enterprise data sources Assess data quality, availability, and limitations early Identify data blockers that could prevent feasibility Collaborate closely with AI Engineers on workflows and models Make pragmatic tradeoffs between speed and structure Refactor quickly as experiments evolve \\\\Required technical and professional expertise\\\\ Strong background in data engineering and data transformation Solid SQL and Python skills Experience integrating data across systems and domains with an understanding of data storage solutions that enable efficient processing and retrieval. Exposure to performing batch or real-time processing on collected data, with knowledge of serving data via APIs for querying purposes. Experience working with database integration, including addressing problems associated with handling messy, unstructured data sets. Experience working with ensuring data is properly processed and served to meet the needs of data scientists and other stakeholders. Strong technical judgment in fast-moving environments \\\\Preferred technical and professional experience\\\\ Experience supporting AI or ML workloads Familiarity with marketing or GTM datasets Experience in POC-heavy environments 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.

The role requires a strong background in data engineering and data transformation. Proficiency in SQL and Python is essential, along with experience integrating data across systems and domains. Understanding of data storage solutions for efficient processing and retrieval is necessary. Experience with batch or real-time data processing and serving data via APIs for querying is expected. The candidate should also have experience with database integration, including handling messy, unstructured data sets, and ensuring data is properly processed for data scientists and stakeholders. Strong technical judgment in fast-moving environments is also a requirement.