FS Salesforce Data 360 and AI Architect Sr Manager

Accenture•Los Angeles, MS

About The Position

Accenture is hiring a senior architect for its Financial Services Salesforce Business Group practice. The role designs enterprise-scale solutions at the intersection of Salesforce Data 360, Agentforce, and Financial Services platforms in Banking, Capital Markets, and Insurance. The architect owns end-to-end technical architecture across Data 360, identity resolution, agentic AI design, and CRM integration patterns, contributing from presale through delivery. The position involves shaping proposals, leading client design sessions, reviewing builds, and ensuring solutions scale in demanding, high-stakes programs. The architect defines customer 360 strategies that bring together structured and unstructured data from Salesforce and third-party sources. They provide architecture governance across workstreams, lead design reviews, manage technical risk, and mentor architects and technical analysts. They also contribute reusable architecture patterns, accelerators, and Financial Services-specific AI use case frameworks to the wider practice.

Requirements

At least 8 years of progressive Salesforce architecture experience across full-lifecycle implementations in consulting environments.
At least 4 years of experience with Data 360, including deep expertise in data ingestion, identity resolution, segmentation, activation, and Data 360 governance patterns.
At least 1 year of Agentforce experience and hands-on experience architecting Agentforce solutions, AI-powered workflows, and/or Voice AI deployments.
At least 4 years of experience designing enterprise integrations across CRM, data, marketing, and external platforms, including MuleSoft, REST/SOAP, and event-driven patterns.
Bachelor's degree in Computer Science, Engineering, or equivalent; alternatively, at least 12 years of work experience. Applicants with an associate's degree must have at least 6 years of work experience.
Applicants for US employment must have work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Salesforce Financial Services Cloud experience or experience with equivalent Financial Services CRM platforms and use cases.
Demonstrated ability to influence senior client stakeholders and lead architecture decisions in complex, multi-workstream programs.
Architecture experience with Agentforce Voice, contact center AI, or conversational AI platforms in Financial Services.
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 certification.
Experience with headless or composable CRM architecture patterns.
Experience managing technical delivery across distributed onshore/offshore teams.

Responsibilities

Own end-to-end Data 360 architecture, including data models, ingestion strategies, identity resolution, unified profiles, segmentation, and real-time activation for Financial Services clients.
Architect agentic AI solutions across Banking, Capital Markets, and Insurance, including Agentforce Voice deployments, multi-agent orchestration, and AI workflows.
Define customer 360 strategies that unify structured and unstructured data across Salesforce and third-party sources.
Design integrations between Data 360, Salesforce Financial Services Cloud, Marketing Cloud, and external platforms, and provide architecture governance across workstreams.
Lead technical responses for RFPs and oral presentations, translate complex AI and data architectures into client narratives, and own architecture sections of proposals.
Conduct solution design reviews, establish architecture standards across delivery teams, and manage technical risk across programs.
Mentor architects and technical analysts and guide build quality, code reviews, and delivery standards.
Contribute reusable architecture patterns, accelerators, and Financial Services-specific AI use case frameworks to the practice.