Salesforce Data Cloud & AI Architect Senior Manager

Accenture•Los Angeles, CA

4d•$112,900 - $302,400•Hybrid

About The Position

Accenture’s Salesforce practice is seeking a senior Data Cloud and AI Architect within its Life Sciences Salesforce Business Group. This role involves designing enterprise-scale solutions at the intersection of Salesforce Data Cloud, Agentforce, Voice AI, and Life Sciences commercial platforms in high-stakes environments where architectural decisions significantly impact multi-year client programs. The architect will own end-to-end technical architecture covering Data 360, identity resolution, agentic AI design, and CRM integration patterns. Responsibilities span from pre-sale activities, including shaping proposals and leading design sessions, to delivery, ensuring the scalability and robustness of built solutions. The role requires a blend of client-facing communication skills, effective in boardrooms, and technical expertise, demonstrated in design reviews.

Requirements

Minimum of 8 years of progressive Salesforce architecture experience across full-lifecycle implementations in consulting environments.
Minimum of 4 years of experience with Data Cloud and deep expertise in data ingestion, identity resolution, segmentation, activation, and Data Cloud governance patterns.
Minimum of 1 year of Agentforce and hands-on experience architecting Agentforce solutions, AI-powered workflows, and/or Voice AI deployments.
Minimum of 4 years of experience in designing enterprise integrations across CRM, data, marketing, and external platforms (MuleSoft, REST/SOAP, event-driven patterns).
Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. If Associate’s Degree, must have minimum 6 years work experience.

Nice To Haves

Salesforce Life Sciences Cloud, Health Cloud, or equivalent pharma/biotech CRM platforms and their commercial and patient-facing use cases.
Demonstrated experience influencing senior client stakeholders and leading architecture decisions in complex, multi-workstream programs.
Architecture experience with Agentforce Voice, contact center AI, or conversational AI platforms in Life Sciences contexts.
Experience designing omnichannel engagement solutions combining Marketing Cloud, Data Cloud, and agentic content generation.
Salesforce Certified System Architect, Data Cloud Consultant, Agentforce Specialist, AI Associate, or Certified Application Architect.
Familiarity with Veeva Vault CRM, Veeva CRM, or the Veeva-to-Salesforce migration landscape.
Experience with headless or composable CRM architecture patterns.
Experience managing technical delivery across onshore/offshore distributed teams.

Responsibilities

Own end-to-end design of Data Cloud solutions including data model, ingestion strategy, identity resolution, unified profiles, segmentation, and real-time activation for pharma, biotech, and MedTech clients.
Architect agentic AI solutions across patient services, HCP engagement, and commercial operations, including Agentforce Voice deployments, multi-agent orchestration, and AI workflow design.
Define customer and patient 360 strategies that unify structured and unstructured data across CRM, EHR, claims, and third-party sources into actionable intelligence.
Design integration patterns between Data Cloud, Salesforce LSC/Health Cloud, Marketing Cloud, and external platforms; provide architecture governance across workstreams.
Lead technical response for RFPs and orals; translate complex AI and data architectures into clear client narratives; own architecture sections of proposals.
Conduct solution design reviews, set architecture standards across delivery teams, and manage technical risk across programs.
Mentor architects and technical analysts; guide build quality, code reviews, and delivery standards.
Contribute reusable architecture patterns, accelerators, and LS-specific AI use case frameworks to the broader practice.