Cloud Data Success Strategist
3 days ago
At Salesforce, we strive to foster a diverse and inclusive workplace where individuals from all backgrounds feel valued and encouraged. We believe that the collective expertise of a diverse team greatly contributes to our success. As a Cloud Data Success Strategist, you will play a vital role in driving successful outcomes for our customers by leveraging your technical expertise in data and analytics.
Responsibilities:
- Establish yourself as a trusted subject-matter expert for the broader organization, including the intersection of Cloud Data and AI.
- Evaluate and recommend optimization strategies for technical architecture, dev/ops, performance, and solution design specific to Cloud Data.
- Identify capability gaps for standard product capabilities or develop creative solutions through customization.
- Influence Executive collaborators while aligning technology strategy to business value and return on investment.
- Tailor playbooks aligned with our engagement catalog to address unique customer needs and opportunities.
- Foster strong relationships with internal and external partners, contributing to broader goals and growth.
- Drive thought leadership through mentoring and knowledge sharing.
Impact of the Role:
You will significantly impact customer success and our organization's growth. Your expertise will directly influence technical architecture, performance optimization, and solution design strategies for our strategic customers, ensuring their success in harnessing Cloud Data's power.
Collaboration and Teamwork:
Collaboration is key to our success, and as a Cloud Data Success Strategist, you will work closely with diverse teams to evaluate technical architecture, optimize performance, and design effective solutions.
Requirements:
- Experience with implementation lifecycles of Salesforce Cloud Data/CDP.
- Demonstrable experience in enterprise consulting, including implementing software solutions in Analytics/CDP spaces.
- Ability to analyze, design, and optimize business processes focusing on data & integration architecture.
- Deep understanding of data modeling, integration architectures, and data governance standard processes.
- Excellent communication skills, with ability to work closely with multi-functional teams.
- Ability to facilitate discussions and translate technical concepts into tangible business value.
- Proactive attitude with ability to manage tasks independently while collaborating remotely.
- Values data ethics and privacy, ensuring customer solutions adhere to regulations and standard methodologies.
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