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Über
Support key accounts and field sales teams. Work alongside Account Executives to qualify opportunities and conduct deep discovery sessions to explore clients' data landscapes, business goals, challenges, and technical requirements. Serve as a trusted advisor, providing insights on data strategy, governance, architecture, analytics, machine learning, and the application of Generative AI. Lead technical initiatives by coordinating with industry and technical experts to assemble the right resources.
Solution Design and Presentation:
Craft and present tailored data and Generative AI solutions that align with client needs and leverage our consulting capabilities. Propose solutions for optimizing data pipelines and data warehouses using Databricks and other cloud platforms. Outline data ingestion strategies, BI, data visualization, AI/ML integration, and governance within Databricks. Highlight Generative AI use cases such as custom LLMs, RAG implementations, and AI agent frameworks. Deliver engaging technical presentations, platform demos, and proof-of-concepts to diverse audiences, including technical and business leaders. Translate intricate technical concepts into straightforward, business-relevant language.
Proposal Development:
Assist in crafting detailed technical proposals, Statements of Work (SOWs), and responses to RFPs/RFIs, ensuring thoroughness and alignment with client expectations. Estimate resource requirements for data solutions, utilizing best practices for workload patterns. Partner with delivery and operations management to ensure smooth transitions from pre-sales to execution.
Market and Industry Expertise:
Stay updated on emerging technologies and best practices in the data domain, especially regarding Databricks. Build relationships with Databricks solution engineering teams for new solutions and product innovations. Engage with partner organizations to expand collaborative efforts.
Cross-Functional Collaboration:
Collaborate with consulting delivery teams for effective project hand-offs and feedback integration. Work with marketing to create technical sales enablement content. Coordinate with Asset and Delivery teams to understand GenAI assets and their application in pre-sales and delivery processes.
Client Relationship Management:
Foster strong relationships with technical stakeholders and decision-makers within client organizations, establishing trust and credibility.
This position can be performed from anywhere in the US. Required Technical and Professional Expertise Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field. 4+ years of experience in technical pre-sales, solutions architecture, or consulting roles focused on data solutions, especially in AI/ML. Strong technical expertise and hands-on experience with Databricks. Good understanding of Generative AI concepts and technologies, including LLMs, RAG architectures, prompt engineering, and deployment practices. Expertise in Generative AI frameworks and libraries within Databricks. Experience with cloud-based GenAI services and integration with Databricks. Knowledge in data warehousing, ETL/ELT, business intelligence tools, and various database systems. Proficient in multiple cloud data platforms (AWS, Azure, GCP); certifications, particularly in Databricks, are a plus. Expertise in data governance, quality, and master data management concepts. Familiarity with programming languages such as Python or Scala for data manipulation and AI model development. Demonstrated ability to present complex solutions to both technical and non-technical audiences. Excellent communication skills and problem-solving abilities. Ability to work independently and collaboratively. Preferred Technical and Professional Experience A Master's degree is preferred. IBM is committed to fostering a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will be considered 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 also adheres to fair employment practices regarding citizenship and immigration status.
Sprachkenntnisse
- English
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