Director, Commercial Experience Architecture & Engineering
S&P Global · Islamabad
Job description
About the role
The Director of Commercial Experience Architecture & Engineering will lead the strategy, design, and delivery of Salesforce Sales Cloud capabilities across the enterprise. This senior position works closely with Commercial Technology, Finance Technology, and Data teams to build a unified, data‑driven commercial engine that accelerates revenue growth and improves seller productivity.
Key responsibilities
- Design, build, and implement scalable Salesforce Sales Cloud solutions that reduce friction, shorten sales cycles, and drive revenue.
- Optimize core Sales Cloud processes, including pipeline management, forecasting, and territory management.
- Improve data quality and integration patterns to enable accurate forecasting and actionable insights.
- Enhance seller productivity through AI‑driven lead scoring, guided selling, workflow automation, and scalable enablement tools.
- Establish standardized, compliant, and reusable architecture for secure, scalable Sales Cloud deployments.
- Define global design standards, templates, and opportunity lifecycle processes.
- Support data governance practices to maintain pipeline hygiene and forecasting accuracy.
Required profile
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
- 10+ years of progressive leadership experience managing Salesforce platforms, preferably in large, multi‑org environments with 5,000+ users.
- Proven track record establishing enterprise governance frameworks, intake and prioritization processes, and escalation standards.
- Experience overseeing technology portfolios, defining KPIs, measuring ROI, and tracking value realization across multiple business divisions.
Required skills
- Salesforce Sales Cloud (declarative and programmatic development).
- Apex, Lightning Web Components, and Salesforce DX.
- Package development methodologies and enterprise architecture principles.
- AI/ML techniques for lead scoring and next‑best‑action recommendations.
- Data integration (APIs, middleware) and data governance.
- Automation tools, workflow design, and CRM usability optimization.
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Published 1 month ago
Expires 1 week from now
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S&P Global
Islamabad
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