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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager, Salesforce CRM Analytics - **Company:** Beam Suntory Inc - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $148,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Business Analytics Applications, Data Analysis, Cloud Computing, Customer Data Management, Data Architecture, Information Engineering, Data Security, Data Warehousing, Cloud Services, Salesforce.Com, Systems Integration, Enterprise Data Management, Data Ingestion, Data Management - **Published:** October 30, 2026 - **Apply:** https://www.jofdav.com/jobs/60344686-sr-manager-salesforce-crm-analytics ## About the Role * Strong experience designingand delivering Salesforce CRMA solutions in complex enterprise environments, including datasets, recipes, dataflows, dashboards, bindings, security models, integrations, and advanced analytics design. * Demonstrated experience withtranslating business processes, KPIs, and reporting needs into scalable data models and analytics solutions. * Experience with Salesforce Data 360, including data ingestion, data modeling, harmonization and integration with Salesforce applications. * Strong understanding of Salesforce platforms architecture and integration patterns, preferably within Consumer Goods Cloud or SRA environments. * Experience integrating Salesforce analytics solutions with enterprise data platforms, data warehouses, cloud data platforms and external data sources. * Ability to work effectively with business stakeholders, cross-functional technology teams and implementation partners. * Strong communication skills, including the ability to explain complex architecture concepts to both technical and nontechnical audiences. * Fluency in written and spoken English. * Preferred Qualifications Experience working in commercial, retail, sales, CPG or a related business environment. * Salesforce CRMA or Data 360 certification or equivalent practical expertise. ## Description As Senior Manager of Analytics Solutions Deployment, you will lead the architecture, design, and evolution of the Salesforce CRM Analytics (CRMA) and Data360 ecosystems for the Americas Commercial organization. You will translate business priorities, sales processes and KPIs into scalable data models, analytics products and intuitive dashboard experiences that improve sales execution and commercial decision-making processes. Working with commercial teams, product owners, Salesforce architects, data engineers, and implementation partners, you will connect business requirements with reliable and scalable data architecture. A key focus will be expanding CRMA capabilities for visit execution, account performance, and sales KPIs using Salesforce Retail Automation (SRA) on Consumer Goods Cloud. You will also define how Salesforce, enterprise, and external data is ingested, harmonized, and delivered through Data360 to CRMA and other Salesforce capabilities. Success means building a trusted analytics platform that commercial teams adopt and use to make better and faster decisions. Role Responsibilities Mission of Role As Senior Manager of Analytics Solutions Deployment, you willown the end-to-end architecture of CRMA and Data 360 for the US Commercial organization. You will translate sales processes, KPIs and decision-making requirements into scalable analytics solutions supported by reliable, governed data. CRM Analytics Architecture and Dashboard Design * Own the end-to-end CRMA architecture, including datasets, data models, recipes, dataflows, dashboards, security models and integrations. * Design intuitive, mobile-ready dashboards aligned with field sales workflows, including visit execution, account interactions, and commercial activities. * Deliver analytics for account performance, distribution, depletions, sales execution and other key commercial KPIs. * +Establish reusable standards for data models, dashboards, and visualizations to ensure consistency, performance, and maintainability. * +Translate business requirements and KPI definitions into scalable datasets, calculated measures and analytics solutions. Salesforce Data 360 Architecture and Integration * Own the Data 360 architecture within the SRA analytics ecosystem. * Define how Salesforce, enterprise and external data is ingested and transformed, including refresh schedules and integration dependencies. * Design harmonized data models for accounts, products, users, activities, and sales performance. * Integrate Data 360 with CRMA and enterprise data platforms, using direct integration or zero-copy data federation as appropriate. * Partner with enterprise data engineering and architecture teams to ensure solutions are scalable, secure, reliable, and read for future commercial use cases. Data Modeling, Governance and Quality * Establish standards for dataset design, naming conventions, dimensional models, calculated metrics and reusable analytics components. * Partner with commercial stakeholders and data owners to define critical , data quality expectations, and ownership. * Maintain documentation and traceability between source systems, Data 360, CRMA datasets and dashboards. * Apply governance standards for data access, security, retention, and appropriate use of commercial information. SRA Analytics Enablement & Architecture * Embed relevant analytics within SRA workflows so commercial users can act on insights at the point of decision. * Support new SRA deployment waves by defining analytics requirements, confirming solution design and ensuring data readiness. * Simplify field reporting and shift users from retrospective reporting toward actionable and predictive analytics. * Maintain the CRMA and Data 360 roadmap and evaluate new Salesforce capabilities against the commercial analytics roadmap. * Improve platform performance, development practices, release processes, and lifecycle management across development, testing and production environments. Leadership and Collaboration * Act as the primary technical liaison between commercial stakeholders, product owners, Salesforce teams, data engineering and implementation partners. * Lead design discussions that translate commercial needs into clear architecture and delivery requirements. * Guide CRMA developers, analysts and implementation partners while coordinating contributions across global and regional teams. * Support backlog prioritization by assessing complexity, dependencies, scalability and technical risk. * Communicate architecture decisions, build internal Salesforce CRMA and Data 360 expertise through documentation and knowledge sharing.