Data & Cloud Transformation Leader

Role Description We are seeking candidates for a Data & Cloud Transformation Leader role. This is a full-time, on-site position in Santa Clara, USA, with our client, a digital products and platforms company. Citizenship/Work Permit Candidates must be either U.S. citizens or Green Card holders. • Experience: 18+ years in data and cloud transformation, with a proven record in pre-sales leadership and client-facing roles. Experience leading large-scale data transformations, cloud migrations, or similar initiatives. • Technical Proficiency: Strong knowledge of cloud platforms (AWS, Azure, GCP), data engineering, data architecture, data pipelines, big data solutions, and cloud-native services. Familiarity with data lakes, cloud data warehouses, data fabrics, and machine learning is a plus. Roles and Responsibilities: Strategic Vision & Client Engagement: • Develop and execute customer data and cloud transformation strategies, demonstrating the business value and long-term benefits of modern data and cloud solutions. • Engage senior customer leaders (CXOs, Directors, VPs) to understand their data challenges, objectives, and growth ambitions. • Define clients’ data transformation journeys from assessment through execution, with clear, actionable insights, timelines, and milestones. • Recommend innovative solutions and strategic roadmaps aligned with customer goals, supported by compelling business cases for data and cloud transformation initiatives. Pre-Sales Leadership: • Act as a trusted advisor to clients through technical discussions, workshops, and presentations on data and cloud transformation. • Partner with sales teams to identify new business opportunities, develop proposals, and lead RFP responses. • Collaborate with cross-functional teams, including data architects, cloud engineers, and data scientists, to develop tailored client solutions and proposals. Technical Expertise & Thought Leadership: • Provide high-level technical guidance based on deep expertise in cloud platforms (AWS, Azure, GCP), data engineering, data architecture, cloud-native technologies, and modernization strategies. • Maintain strong technical expertise and stay current with trends and technologies in data engineering, cloud computing, data lakes, cloud data platforms, and digital transformation. • Create solution briefs, whitepapers, pitch decks, and other content for clients and internal teams. •