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Über
Minimum 5 years of people management experience; experience mentoring, coaching and developing teams
Minimum 5 years of experience in selling professional services; scoping large projects, writing statements of work
A strong track record of meeting or exceeding revenue targets in highly competitive markets
A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities
Proven ability to independently manage, develop, and close new client relationships
In-depth knowledge of Data Engineering, Data Lakehouse, Ingestion and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains
Strong ability to work across cross-functional teams including Sales Engineering and Professional Services
Extensive expertise in Snowflake and/or Databricks data platforms
Specialized knowledge of and experience with major cloud platforms and it's popular data services (e.g. AWS, Azure, GCP etc.)
Extensive knowledge of and experience with large-scale legacy database technologies (e.g. Oracle, Teradata, Netezza, Greenplum, etc.)
Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
Experience and track record of success selling data and/or analytics solutions to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
Hands-on expertise expected in one cloud and one data platform.
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.
Sprachkenntnisse
- English
Hinweis für Nutzer
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