Marketing Technology Spec

UNITED METHODIST PUBLISHING HOUSE•Nashville, TN

1d•$75,819 - $113,727•Remote

About The Position

The Marketing Technology Specialist owns the day-to-day mechanics of the customer data platform and marketing technology stack within IT. The current platforms are Salesforce Data Cloud, Marketing Cloud, CRM, and Tableau. The role sits at the intersection of IT and the marketing team, translating business needs into platform configuration and keeping data flowing cleanly from source to campaign activation. The primary focus is Data Cloud—data model, identity resolution execution, segmentation, and calculated insights. The secondary focus is Marketing Cloud technical administration. This role is the IT intake point for technical requests from marketing, e-commerce, and content stakeholders related to the customer data ecosystem, and coordinates implementation with IT development or outside partners. The skills this role requires—data platform mechanics, cross-functional partnership, and the ability to translate business needs into technical execution—are enduring, even as specific tools evolve over time. Two-person IT support model – This position is one component of a two-person IT support model for the customer data and marketing technology ecosystem. The Retail Systems Manager focuses on CRM administration, user provisioning and permissions across the Salesforce suite, monitoring data delivery from enterprise systems into Salesforce, and day-to-day user support. That role also carries general IT support responsibilities beyond Salesforce. This role picks up where the operational work hands off: the Data Cloud environment, data integrations within and across the Salesforce platforms, preparing data for Marketing Cloud and business use, and serving as a technical partner to marketing and business stakeholders. Together, these two roles cover the full lifecycle from data ingestion through business activation. Architecture-level scope – Cross-brand identity architecture, source-of-truth design across the enterprise, and Salesforce ecosystem strategy sit outside this role and are delivered through IT leadership and consulting partner engagements. The Marketing Technology Specialist executes and maintains the architecture that gets set, monitors its health day-to-day, and flags opportunities for improvement to IT leadership and the AI & IT Strategy Group.

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)
Customer data platform mechanics – data model configuration, identity resolution execution, audience segmentation, and calculated insights
Marketing technology administration – data extensions, automations, API connections, and Journey Builder technical configuration
CRM data flow awareness – working knowledge of CRM data model, data flows, and configuration sufficient to identify downstream effects and flag them to the Retail Systems Manager
Data visualization and analytics platform administration – server/cloud administration, data source management, and basic dashboard development
Data governance execution – deduplication tooling, data quality monitoring and automation, consent management, and enforcement of governance standards across multi-platform environments
Integration awareness – familiarity with integration technologies (REST/SOAP APIs, SFTP, S3/cloud storage connectors) sufficient to evaluate, scope, and coordinate integration projects and troubleshoot data flow issues
Bridge-Building Mindset – ability to operate effectively at the intersection of IT and business, translating technical concepts for non-technical stakeholders and business needs for technical teams
Proactive Problem-Solving – identifying issues before they become business-impacting, monitoring system health, and bringing solutions rather than waiting for tickets
Data-First Thinking – understanding that clean, connected, and actionable customer data is a strategic asset and treating data quality as a continuous discipline, not a one-time project
Systems Awareness – seeing the customer data lifecycle as a connected whole from point of collection through commerce, fulfillment, and marketing activation, and understanding how day-to-day decisions in one part of the ecosystem affect outcomes in another
Collaborative Ownership – taking full accountability for the technical mechanics of the customer data platform while recognizing that the business owns the outcomes. Success depends on partnership with the Retail Systems Manager, IT development staff, marketing, e-commerce, and content teams
Continuous Learning – staying current with the rapidly evolving platform landscape and bringing relevant developments to IT leadership and the AI & IT Strategy Group.
Clear Communication – producing documentation, status reports, and recommendations that are concise, well-structured, and audience-appropriate
Responsible AI Integration – Leverage AI tools strategically to streamline workflows, generate actionable insights, and deliver exceptional outcomes that advance our mission.
Critical Evaluation & Oversight – Apply professional judgment and critical thinking when reviewing, refining, and validating all AI-generated content and recommendations to ensure accuracy and alignment with our standards.
Continuous Learning & Innovation – Maintain curiosity and adaptability toward emerging AI technologies, actively contributing to innovative practices within your area of expertise while supporting organizational growth.
Ethical & Secure Practice – Uphold UMPH’s commitment to ethical, transparent, and secure AI usage, ensuring all applications align with our mission, values, and community standards.

Nice To Haves

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

Responsibilities

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.
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.
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.
Implements and enforces data quality governance across the customer data ecosystem—CRM, Data Cloud, Marketing Cloud, and customer-facing platforms.
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.
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.
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.
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.
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.