Salesforce Data Cloud Implementation Lead designing and optimizing solutions for On Location. Collaborating with teams to enhance data strategies and implement AI capabilities.
Responsibilities
Lead full lifecycle Salesforce Data Cloud designs, implementations and enhancements, ensuring alignment of technical solutions with business needs.
Architect and deliver advanced automated solutions leveraging Salesforce Flows, Approval Processes, and Einstein Automate to simplify workflows, streamline processes, and boost productivity.
Provide leadership on AI capabilities within the Salesforce ecosystem, including Einstein, Agentforce, and third-party tools.
Own and manage the identity resolution process and customer Golden Record within the Data Cloud environment, while working closely with Data Science and Engineering teams to maintain warehouse-native identity and customer data enrichment.
Collaborate closely with sales, marketing, service, IT and senior stakeholders to identify and address pain points and challenges and develop scalable Data Cloud solutions.
Lead a team of Data Cloud specialists, provide guidance and mentorship, fostering a culture of continuous improvement and proactive problem solving.
Manage project timelines, backlog, team resources, and governance ensuring compliance with security and data privacy policies.
Architect and deliver automated and AI-powered autonomous workflows that interact seamlessly with CRM data and business processes.
Manage appropriate activation capabilities both within the Salesforce ecosystem and externally to third-party tools where required.
Configure and customize Salesforce Data Cloud features, including automations, workflows, and integrations.
Drive adoption through training and change management. Oversee project planning, risk mitigation, and communication.
Stay well-informed about Salesforce platform releases and proactively recommend enhancements, improvements, and automations that deliver business value.
Collaborate with business stakeholders and Salesforce team members to identify automation opportunities and translate them into intelligent (and ideally AI-based) solutions.
Requirements
Minimum 6 years Salesforce experience with 2+ years in a leadership role focused on Data Cloud.
Deep expertise and proficiency with the Data Cloud platform.
Best-practice and ingenuity in the implementation and governance of Data Model Objects, identity resolution rules, calculated insights, and harmonized data modeling.
Expertise with Salesforce configuration, automation (flows, workflows), reports, dashboards, and omni-channel features and integrating Salesforce with external systems via APIs.
Experience orchestrating ETL/ELT tooling and event streaming from external sources into the Salesforce ecosystem.
Ability to build actionable reports and dashboards that track agent performance, case resolution metrics, and service KPIs.
Ability to establish, enforce, and audit cloud security policies that cover standards for data classification, access control, and incident response.
Security and compliance awareness, understanding of permission sets, role hierarchies, and data governance practices to ensure secure and compliant operations.
Salesforce Certifications: Data Cloud Consultant, Platform Administrator I/II, Data Architect.
Understanding of autonomous AI agents capable of reasoning, decision-making, and executing workflows within Salesforce.
Proficiency with Agile delivery, best practices, ceremonies, and ways of working.
Experience with Salesforce DevOps Center.
Experience with Salesforce Event Monitoring.
Knowledge of Salesforce Sales Cloud, Marketing Cloud, Service Cloud.
Experience with Agentforce or similar agentic AI technologies.
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