Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value. 

Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability. 

With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation. 

In this role, you will be leading Veeva Vault CRM to Salesforce migration project. You are fluent in Salesforce Data Cloud, Agentforce, and Life Sciences CRM platforms. You thrive in complexity: multi-workstream programs, distributed teams, and client environments where the data is messy, the timelines are tight, and the architecture decisions matter. You bring clarity to ambiguous technical problems and lead junior team members without waiting to be asked.

The Work

• Solution design ownership — lead end-to-end solution design across assigned workstreams, including data model, integration patterns, security model, and platform configuration; keep SDDs, architecture decision records, and data flow diagrams current throughout delivery
• Agentforce & AI delivery — own technical design and build for Agentforce use cases — patient services agents, HCP engagement agents, Voice AI integrations — across active Life Sciences programs
• Data Cloud workstreams — lead Data Cloud implementation tracks including data ingestion, identity resolution, unified profile design, segmentation, and activation; identify and resolve data quality and governance issues
• Integration delivery — design and implement integrations between Data Cloud, CRM, external data sources, and Agentforce capabilities; make architecture tradeoffs across middleware options (MuleSoft, REST/SOAP, Salesforce Connect)
• Bridge function — serve as the connective layer between functional requirements and technical delivery; align architects, developers, and client stakeholders on design decisions and scope boundaries
• Technical leadership — lead design sessions, code reviews, and deployment governance; manage solution risks, design gaps, and cross-workstream dependencies; escalate proactively
• Team development — guide and mentor L8 architects and analysts; set technical standards across the team and build capability in Data Cloud and AI delivery practices
• Pre-sale contribution — support estimation, scoping, and staffing conversations during pursuit phases; contribute to architecture sections of RFP responses and orals
• Practice contribution — build accelerators, methodology assets, and LS-specific AI use case patterns that scale across the practice

Requirements

• Minimum of 10 years of Salesforce delivery experience, with meaningful time in both functional and technical roles on full-lifecycle implementations
• Minimum of 4 years’ experience as a Solution Architect or senior technical lead on at least two end-to-end Salesforce programs
• Minimum of 2 years working knowledge of data architecture, identity resolution, segmentation, and real-time activation patterns
• Experience with Salesforce Life Sciences Cloud, Health Cloud, or equivalent pharma/biotech CRM; understanding of commercial and patient-facing use cases
• Experience with Veeva Vault CRM, Veeva CRM, or the Veeva-to-Salesforce migration landscape and integration patterns
• Minimum of 1 year hands-on experience designing and implementing Agentforce use cases, including AI-powered workflow automation
• Exceptional Integration experience — practical experience designing integrations across CRM, data platforms, and external systems
• Minimum of 2 years’ experience in client-facing consulting environments leading technical workstreams in Agile or hybrid delivery frameworks
• Bachelor’s degree in Computer Science, Engineering, or equivalent

Bonus Points:

• Experience designing or delivering Agentforce Voice, contact center AI, or conversational agent solutions in Life Sciences
• Agentforce Specialist, Data Cloud Consultant, Sales/Service Cloud Consultant, Health Cloud Accreditation, or Certified Application Architect
• Experience managing technical delivery across onshore/offshore distributed teams
• Prior experience contributing to RFP responses or solution design in a pursuit context