Keyskills : Data Cloud Senior Success Architect
Job Location : Hyderabad, Bangalore, Pune, Mumbai, Gurgaon
locations : India - Hyderabad, Bangalore, Pune, Mumbai, Gurgaon
time type Full time
Responsibilities:
- Be a trusted Data Cloud subject-matter expert for the broader Success Architect organization, including how Data Cloud relates to the success of AI.
- Engage with our Signature and Strategic customers to evaluate and recommend optimization strategies for technical architecture, dev/ops, performance, and solution design specific to Data Cloud.
- Identify and evaluate capability gaps for standard product capability or identify creative Architect solutions through customization.
- Facilitate and influence Executive stakeholders while aligning technology strategy to business value and ROI
- Run playbooks aligned with our Success Architect engagement catalog, tailored to the unique needs and opportunities of Data Cloud customers.
- Build strong relationships with both internal and external business partners, contributing to broader goals and growth.
- Drive thought leadership through mentoring and knowledge sharing
Basic Requirements:
- Minimum 8 years proven experience in enterprise consulting, including implementing enterprise software solutions in the Analytics/CDP spaces.
- Demonstrated ability to analyze, design, and optimize business processes focusing on data & integration architecture, with a focus on guiding customers through migration to and optimization of Data Cloud
- Deep understanding of data modeling, integration architectures, and data governance best practices.
- Excellent communication skills, and ability to work collaboratively with cross-functional teams from Developer to Executive
- Ability to facilitate discussions and translate technical concepts & solutions into tangible business value and ROI for customers
- Stay up-to-date with emerging data-related and AI technologies
- Proactive and self-starting attitude with the ability to manage tasks independently while collaborating remotely with customers and colleagues
- Values the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy.
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