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# Salesforce Data 360 and AI Architect Sr Manager - Financial Services

- **Company:** Accenture
- **Location:** Overland Park, KS, United States
- **Experience:** Expert
- **Salary:** $132,500
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Applications Architecture, Application Integration Architecture, Cloud Computing, Code Review, Customer Data Management, Data Architecture, Salesforce.Com, Simple Object Access Protocol (SOAP), Systems Architecture, Systems Integration, Unstructured Data, Core Voice Platform, Chatbots, Data Ingestion, Multi-Agent Systems, Information Technology, Marketing Cloud, User Identification, Mulesoft
- **Published:** November 3, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3490803811&tx=KP9595FFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## 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 360 and deep expertise in data ingestion, identity resolution, segmentation, activation, and Data 360 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., * Salesforce Financial Services Cloud or equivalent Financial Services CRM platforms and their 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 Financial Services 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.
 * Experience with headless or composable CRM architecture patterns.
 * Experience managing technical delivery across onshore/offshore distributed teams.

## Description

You are a cross-Financial Services skilled senior Data 360 and AI Architect within Accenture's Financial Services Salesforce Business Group practice. You design enterprise-scale solutions at the intersection of Salesforce Data 360, Agentforce, and Financial Services platforms in Banking, Capital Markets, and Insurance - 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 360 architecture - own end-to-end design of Data 360 solutions including data model, ingestion strategy, identity resolution, unified profiles, segmentation, and real-time activation for FS clients.
 * Agentforce & Voice AI - architect agentic AI solutions across Banking, Capital Markets, & Insurance - including Agentforce Voice deployments, multi-agent orchestration, and AI workflow design.
 * Data 360 strategy - define customer 360 strategies that unify structured and unstructured data across Salesforce and third-party sources into actionable intelligence.
 * CRM integration architecture - design integration patterns between Data 360, Salesforce Financial Services 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 Financial Services specific AI use case frameworks to the broader practice.