Data360 Success Architect — AI-Driven Data Strategy & ROI

salesforce.com, inc.

San Francisco (CA)

Hybrid

USD 123,000 - 203,000

Full time

5 days ago
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Job summary

Salesforce is seeking a Data360 + AI Success Architect to drive successful outcomes for strategic customers by leveraging data and analytics at scale. You will enable unified customer data across Marketing, Sales, and Service Clouds to power AI-driven personalization and real-time decision-making.

In this role, you will engage with executive stakeholders, architect data solutions, and mentor teams while working office-flexible three days per week.

Qualifications

  • Minimum 2 development/project lifecycles with Data360/CDP + AI.
  • 8+ years enterprise consulting experience in Analytics/CDP.
  • Ability to analyze, design, and optimize data & integration architectures.
  • Deep understanding of data modeling, integration architectures, and data governance.
  • Excellent communication skills across Dev to Executive levels.
  • US Citizenship required.

Responsibilities

  • Be SME for Agentforce + Data360 within Success Architect org.
  • Engage with Signature and Strategic customers to optimize architecture, performance, and design.
  • Identify capability gaps and tailor Architect solutions.
  • Facilitate executive discussions aligning tech strategy to business value & ROI.
  • Run playbooks from the engagement catalog for Agentforce + Data360.
  • Build relationships with internal and external partners to drive growth.
  • Mentor and share knowledge across the team.

Skills

Data360/CDP
Enterprise consulting
Data modeling
SQL
Python/Java
Communication

Education

Bachelor's degree or equivalent experience

Tools

Snowflake
Databricks
AWS
Google Cloud Storage/BigQuery
Azure

Job description

Salesforce is seeking a Data360 + AI Success Architect to drive successful outcomes for strategic customers by leveraging data and analytics at scale. You will enable unified customer data across Marketing, Sales, and Service Clouds to power AI-driven personalization and real-time decision-making.

In this role, you will engage with executive stakeholders, architect data solutions, and mentor teams while working office-flexible three days per week.

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