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# Salesforce Data Cloud & AI Architect Senior Manager

- **Company:** Accenture
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $132,500.0 - $302,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Applications Architecture, Application Integration Architecture, Cloud Computing, Cloud Engineering, Code Review, Intelligence Analysis, Cloud Services, Salesforce.Com, Simple Object Access Protocol (SOAP), Systems Architecture, Unstructured Data, User-Centered Design, Core Voice Platform, Chatbots, Data Ingestion, Multi-Agent Systems, Electronic Medical Records, Information Technology, Veeva, Meditech, VeevaVault, Marketing Cloud, User Identification, Mulesoft
- **Published:** July 3, 2026
- **Apply:** https://dejobs.org/x/x/96A1A28C339C41CAAC5C45B4CB25AC02/job/

## About the Role

* 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

Bonus Points:

 * 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
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

## Description

You are a senior Data Cloud and AI Architect within Accenture's Life Sciences Salesforce Business Group. You design enterprise-scale solutions at the intersection of Salesforce Data Cloud, Agentforce, Voice AI, and Life Sciences commercial platforms - and you do it in high-stakes environments where architecture decisions shape multi-year client programs.

You own end-to-end technical architecture across Data 360, identity resolution, agentic AI design, and CRM integration patterns. You contribute from pre-sale through delivery: shaping proposals, leading design sessions, reviewing builds, and ensuring what gets built holds up at scale. You are equally effective in a client boardroom and a technical design review.

The Work:

 * Data Cloud architecture - 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
 * Agentforce & Voice AI - architect agentic AI solutions across patient services, HCP engagement, and commercial operations - including Agentforce Voice deployments, multi-agent orchestration, and AI workflow design
 * Data 360 strategy - define customer and patient 360 strategies that unify structured and unstructured data across CRM, EHR, claims, and third-party sources into actionable intelligence
 * CRM integration architecture - design integration patterns between Data Cloud, Salesforce LSC/Health Cloud, Marketing Cloud, and external platforms; provide architecture governance across workstreams
 * Pre-sale solutioning - lead technical response for RFPs and orals; translate complex AI and data architectures into clear client narratives; own architecture sections of proposals
 * Design governance - conduct solution design reviews, set architecture standards across delivery teams, and manage technical risk across programs
 * Team leadership - mentor architects and technical analysts; guide build quality, code reviews, and delivery standards
 * Practice development - contribute reusable architecture patterns, accelerators, and LS-specific AI use case frameworks to the broader practice


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