Regional Architecture Ownership & Standardization
- 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.
Automotive Cloud (Sales) Solution Architecture Year 1 Scope
- Lead Management: define capture channels, routing/assignment rules, lifecycle stages, deduplication approach, conversion governance, and auditability.
- Opportunity Management: define opportunity lifecycle/stages, pipeline governance, required data and controls, and handoffs across sales, dealer, and back-office processes.
- Price & Product Configuration:
- 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.
- Account & Contact Management: define standard model (including dealer/customer structures), relationship patterns, stewardship responsibilities, and data quality controls.
- Vehicle & Asset Management: define entity strategy, lifecycle/state model, and relationships to accounts/contacts/leads/opportunities; align with MDM/SAP/DMS as system of record.
- Demand Forecast: define pipeline governance, forecast logic/inputs, operational cadence, and downstream integration/analytics needs.
- Workflow & Approvals: design scalable approval frameworks, exception handling, audit trails, and policy controls across markets.
- Reporting & Dashboards: define KPI governance (definitions, ownership, refresh cadence), role-based dashboard strategy, and single source of truth principles.
Agentforce Architecture (Responsible AI for Sales)
- 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.
Enterprise Integration & Security Architecture
- 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.
Delivery Governance & Stakeholder Leadership
- 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.
- Own documentation quality (solution designs, integration/data flows, security model, NFRs, operational readiness, release notes).
QUALIFICATIONS
- Bachelor's degree in relevant discipline.
- Salesforce Certified Administrator: Salesforce Certified Sales Cloud Consultant are required
- Automotive Cloud; Data Cloud; MuleSoft; Agentforce/Salesforce AI credential (as available) are preferred
- 69+ 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.
