Responsibilities

• Customer Data Platform Mechanics: Owns the configuration and ongoing management of the Data Cloud data model—data streams, data lake objects, data model objects, and calculated insights. Works alongside marketing power users who are actively building in Data Cloud, supporting their work, auditing configurations, teaching platform capabilities, and ensuring technical consistency across the environment. Business power users are expected to be active participants in Data Cloud, including building calculated insights and defining segments; this role supports, enables, audits, and teaches alongside that engagement, not in place of it. Executes and tunes the identity resolution rulesets that unify the 600K+ contact database across brands, working within the architectural framework set by IT leadership and consulting partners. Builds and maintains real-time and batch audience segmentation in collaboration with the marketing team: marketing defines the segmentation strategy and is hands-on in building segments; this role provides technical execution support, ensures segments are properly configured, and proactively recommends segmentation opportunities based on data patterns. Monitors Data Cloud health—identity resolution accuracy, segment population, calculated insight performance, and downstream data quality. The Retail Systems Manager monitors data delivery into Salesforce from enterprise systems; this role handles data integrations within and across the Salesforce platforms, maintaining clear ownership at the handoff point. Ensures data leaving Data Cloud for Marketing Cloud activation is complete, accurate, and structured for campaign execution. Consults on business data collection plans—such as tagging matrices, audience expansion strategies, and new data point identification—to ensure the platform is configured and ready to receive, store, and activate the data being collected.
• Data Quality & Governance Execution: Implements and enforces data quality governance across the customer data ecosystem—CRM, Data Cloud, Marketing Cloud, and customer-facing platforms. Business stakeholders and IT leadership define the governance framework and rules; this role implements them through tooling and automation, monitors adherence, and coordinates exception resolution between IT and the business. Builds and monitors automated data quality processes, manages exception workflows, and champions data quality standards day-to-day. Evaluates and recommends third-party tools and plug-ins that support data quality, data collection, and data flow objectives (e.g., Data Groomr, FormTitan, and similar applications), advising on selection, configuration, and fit within the broader governance framework. Provides oversight of CRM data flows to ensure that data entering, moving through, and leaving CRM is consistent with governance standards and does not create unintended downstream effects in Data Cloud or Marketing Cloud.
• Marketing Cloud Technical Administration: Administers Marketing Cloud technical infrastructure—data extensions, automation schedules, API/SFTP connections, send classification, and deliverability monitoring. Collaborates with the marketing team to ensure data flowing into Marketing Cloud is actionable for campaign execution, audience journeys, and personalization. Supports Salesforce release management in coordination with the Retail Systems Manager—reviews release notes for Data Cloud and Marketing Cloud impacts, coordinates testing, and communicates changes. Manages sandbox environments and change management processes for Data Cloud and Marketing Cloud configuration.
• Technical Request Intake & Integration Coordination: Serves as the primary IT point of intake for technical requests from marketing and business stakeholders related to the customer data and marketing technology ecosystem. Receives requests, evaluates feasibility, scopes solutions, and coordinates implementation with IT development staff or outside vendors. When new data points, connectors, or integrations are identified by the business, owns the lifecycle from evaluation through implementation: assesses what is needed, determines the technical approach, coordinates with the appropriate IT resources or vendors to build it, validates it is working correctly, and ensures it is documented and monitored. Maintains the customer data lifecycle documentation—from point of collection through commerce, fulfillment, and marketing systems—flagging gaps, disconnections, and opportunities to improve data completeness and flow. The initial end-to-end lifecycle map is delivered through a consulting partner engagement; this role maintains and updates it. This role does not build the connectors but owns the process of getting them evaluated, scoped, built, and verified.
• Business Partnership & Requirements: Serves as the primary IT point of contact for customer data and marketing technology needs, working closely with marketing, e-commerce, content, and executive stakeholders. Participates in marketing team meetings and planning processes to understand business direction, upcoming campaigns, data collection initiatives, and audience strategy—ensuring IT’s platform work is aligned with where the business is headed, not just reacting to requests. Translates business requirements into technical specifications, evaluating whether needs can be met through platform configuration, third-party tools, or custom development. Maintains documentation for Data Cloud processes, data flows, Marketing Cloud technical configurations, integration architecture, and governance standards. Provides training and support to business users, enabling self-service capabilities where appropriate, particularly in Tableau reporting, Marketing Cloud segmentation, and Data Cloud calculated insights. Provides routine operational updates to relevant teams regarding platform health, data quality trends, and open requests.
• SECONDARY: Continuous Learning & Roadmap Awareness: Stays current on the Salesforce product roadmap, industry trends in customer data platforms and marketing technology, and publishing industry technology developments. Flags emerging platform capabilities—including Salesforce Einstein AI, Agentforce, and new Data Cloud features—to IT leadership and the AI & IT Strategy Group for evaluation and prioritization. Administers the Tableau server/cloud environment—data source governance, user provisioning, security, and performance optimization. Contributes to platform-related business case development by providing technical detail, effort estimates, and configuration options when asked.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Information Systems, or a related field; or equivalent combination of education and experience
• At least three (3) years of hands-on experience with Salesforce Marketing Cloud, Salesforce Data Cloud, or a comparable customer data platform (Segment, mParticle, Tealium, Adobe Real-Time CDP, or similar), with at least one (1) year involving multi-product environments (CRM plus one or more of: Marketing Cloud, Data Cloud, Commerce Cloud, Tableau, or comparable platforms)
• Demonstrated experience with customer data platforms, unified customer data environments, or data management at scale (100K+ records)—either through prior hands-on work or through certification plus documented hands-on lab experience
• Experience collaborating with marketing or business teams on data-driven initiatives, translating business needs into platform configuration
• Salesforce Certified Administrator (within 12 months of hire if not already held)
• Salesforce Certified Data Cloud Consultant (within 18 months of hire if not already held, or demonstrated equivalent experience through documented Data Cloud implementation work)
• Salesforce Certified Marketing Cloud Administrator, Marketing Cloud Developer, or Marketing Cloud Email Specialist (within 18 months of hire if not already held)

Preferred

• Existing Salesforce certifications at hire (particularly Data Cloud Consultant, Marketing Cloud Administrator, or Marketing Cloud Consultant)
• Experience with unified customer identity or single sign-on implementations across multiple web properties
• Experience with AI-driven platform features, predictive analytics, or marketing automation AI capabilities
• Experience in publishing, media, religious/nonprofit, or subscription-based business environments
• Familiarity with e-commerce platforms, particularly NOP Commerce or similar .NET-based commerce systems
• Experience with ERP integrations or enterprise financial systems
• Tableau Desktop Specialist or Tableau Certified Data Analyst certification