TL;DR
Senior Data Cloud Analyst (Salesforce): Building and managing unified customer data models and ingestion pipelines to drive AI-powered healthcare solutions with an accent on Salesforce Data Cloud implementation and data harmonization. Focus on enabling Agentforce features, ensuring data governance, and translating complex business requirements into scalable, high-performance data architectures.
Company
A technology-led healthcare solutions provider dedicated to enabling healthcare organizations to be future-ready through innovation and customer-obsessed expertise.
What you will do
- Lead the implementation, configuration, and optimization of Salesforce Data Cloud.
- Design and manage complex data models, mappings, and segmentation logic.
- Partner with CRM, analytics, and integration teams to enable AI and Agentforce use cases.
- Define and manage data ingestion flows from internal and external marketing and CRM platforms.
- Ensure high standards for data quality, governance, and platform performance monitoring.
- Advise IT leadership on roadmap strategy and adopt new Salesforce AI capabilities.
Requirements
- 4+ years of professional experience in data, analytics, or CRM-focused roles.
- Proven track record of completing at least one full-cycle Salesforce Data Cloud implementation.
- Deep understanding of data integration architectures including APIs, batch, and real-time ingestion.
- Expertise in data modeling, transformation, and customer data orchestration solutions.
- Ability to bridge the gap between complex business use cases and technical data requirements.
- Experience in highly regulated sectors such as pharma or life sciences is preferred.
Nice to have
- Salesforce Certified Data Cloud Consultant certification.
- Salesforce Certified AI Specialist or AI Associate certifications.
- Experience with Salesforce Platform App Builder or Integration Architecture.
Culture & Benefits
- Opportunities for accelerated global career growth in a fast-paced environment.
- Exposure to cutting-edge healthcare technology projects and mentorship from industry experts.
- Emphasis on a culture of inclusion, diversity, and collaborative innovation.
- Supportive environment focused on entrepreneurship and purpose-driven work.
