Salesforce Solution Architect in Bangkok overseeing regional CRM architecture for Automotive Cloud solutions. Collaborating with stakeholders to deliver enterprise-grade Salesforce solutions and improve efficiency.
Responsibilities
Own the regional target architecture and multi-release roadmap for Automotive Cloud (Sales).
Establish architecture principles/guardrails, reference patterns, and governance (e.g., declarative-first, reuse-first, integration standards, data quality rules).
Lead cross-market fit-gap and standardization decisions; manage trade-offs between global consistency and local requirements and regulations.
Define opportunity lifecycle/stages, pipeline governance, required data and controls, and handoffs across sales, dealer, and back-office processes.
Define product catalog strategy (product hierarchy, options/variants as applicable), configuration governance, and lifecycle management.
Define pricing architecture (price books, discounting/approvals, promotions as applicable) and controls.
Align product and pricing integration with SAP (and dealer/DMS where relevant), including system-of-record, synchronization, and reconciliation approach.
Define standard model (including dealer/customer structures), relationship patterns, stewardship responsibilities, and data quality controls.
Define entity strategy, lifecycle/state model, and relationships to accounts/contacts/leads/opportunities; align with MDM/SAP/DMS as system of record.
Design scalable approval frameworks, exception handling, audit trails, and policy controls across markets.
Define KPI governance (definitions, ownership, refresh cadence), role-based dashboard strategy, and 'single source of truth' principles.
Define AI use-case portfolio and guardrails for prioritized sales scenarios (e.g., lead/account/vehicle summarization, recommended next steps, guided selling prompts, forecast explanations).
Define grounding strategy leveraging Data Cloud and approved enterprise sources; set requirements for accuracy, recency, and traceability.
Define access controls and safety requirements (least privilege, sensitive data handling, auditability).
Ensure Agentforce behaviors, retrieval sources, and actions respect Ford-standard consent constraints, including enforcement and auditability for consent-sensitive data.
Establish evaluation and monitoring framework: quality, safety, latency, drift, and business impact; define go/no-go gates for production rollouts.
Facilitate MuleSoft API-led standards: interface contracts, versioning, canonical mapping where appropriate, idempotency/retries, error handling, monitoring/alerting, SLAs, and support model.
Define integration strategy and reconciliation approach; clarify system-of-record and data stewardship for shared domains.
Define integration approach (security, connectivity, data quality, rollout scalability).
Define integration approach (as needed) between Salesforce/Data Cloud and the Ford-standard consent component, including system-of-record, synchronization rules, and operational monitoring.
Run architecture and design reviews; manage cross-domain dependencies and risks (data, integration, security, release).
Partner with Product Owner(s) on backlog readiness (acceptance criteria, NFRs, testability) and release scope decisions.
Coach delivery teams/SI partners on standards and patterns; ensure solutions are supportable and aligned with enterprise architecture.
Salesforce Certified Administrator: Salesforce Certified Sales Cloud Consultant are required
Automotive Cloud; Data Cloud; MuleSoft; Agentforce/Salesforce AI credential (as available) are preferred
6–9+ years Salesforce delivery experience with solution architecture ownership for complex programs (multi-market and/or multi-cloud).
Strong experience across integration landscape: MuleSoft. Other integration landscape experience e.g. SAP, dealer/DMS ecosystems, AD/SSO, and enterprise data platforms (MDM/GCP) are preferred.
Strong architecture competencies: Salesforce security, data modeling, automation patterns, SDLC, DevOps/release governance, and operability.
Strong customer data architecture capability: identity resolution, consent/privacy, segmentation, activation, and data quality/lineage.
Agile delivery fluency (Jira/Confluence) and strong stakeholder leadership.
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