SAP Business Data Cloud Sales Specialist
Role details
Job location
Tech stack
Job description
The Data & Analytics Sales Specialist will drive the sales and market presence of SAP's data solutions, leveraging AI capabilities to transform businesses. This role demands a comprehensive understanding of data management, analytics, and AI integration to effectively communicate the value of data-driven decision-making to prospective clients, including different C-level stakeholders., + Develop and execute comprehensive sales strategies to promote SAP's data and analytics solutions (including SAP Business Data Cloud).
- Identify and pursue new business opportunities to achieve or exceed sales targets.
- Conduct market research to stay informed about industry trends and customer needs.
Customer Engagement and Relationship Management
- Build and maintain strong relationships with key stakeholders and decision-makers within client organizations.
- Engage in consultative conversations to understand customer challenges and propose tailored SAP Business Data solutions.
- Demonstrate the business value of data and analytics across different industries and organizational roles.
- Provide exceptional customer service to ensure client satisfaction and foster long-term partnerships., + Serve as an expert in SAP's data solutions, including data management, analytics, and AI capabilities.
- Deliver compelling presentations and demonstrations to showcase the benefits of SAP's data solutions.
- Address technical objections and guide customers through solution implementation.
Collaboration and Resource Management
- Work closely with internal stakeholders to orchestrate resources that support customer engagements and accelerate deal closure.
- Align closely with Account teams, Customer Success Partners & Partner Business Managers to drive successful adoption and consumption of SAP data and analytics technologies., Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requirements
Do you have experience in Technology sales?, Do you have a Bachelor's degree?, + Bachelor's degree in Business, Information Technology, or a related field.
- At least 5 years of experience in technology sales or cloud solutions.
- Proven track record of achieving or exceeding sales quotas.
- Strong ability to articulate the value of data-driven decision-making to various stakeholders, including C-level executives.
- Excellent communication, negotiation, and presentation skills.
- Ability to translate complex data concepts into business value propositions.
- Strong analytical skills with a focus on identifying customer needs and providing tailored solutions., Understanding of SAP technologies including SAP Datasphere, SAP Analytics Cloud, SAP BW and SAP Business AI. Generic knowledge about SAP Business Technology Platform is useful.
- Proficient in cloud platforms (AWS, Azure, Google Cloud) and data engineering tools.
- Experience in enterprise solution selling focused on data management and AI integration.
- Extensive industry network for business development.
- Knowledge of data engineering, machine learning, AI, and their ecosystem.
- Ability to articulate Databricks' value propositions to stakeholders.
- Familiarity with the SAP Business Suite and SAP Line of Business solutions.
- Awareness of trends in data management, business intelligence, and analytics technologies.
- Understanding of industries and verticals relevant to SAP's data and analytics solutions and verticals that are key markets for SAP's data and analytics solutions., + Exceptional communication, both verbal and non-verbal.
- Strategic thinking with a high degree of creativity and innovation.
- Strong executive presence and results-driven mindset.
- Ability to work across multiple teams within a matrix organization.