Role Description
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.
Responsibilities & Scope
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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.
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Data Quality & Governance Execution:
Implements and enforces data quality governance across the customer data ecosystem—CRM, Data Cloud, Marketing Cloud, and customer-facing platforms.
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Marketing Cloud Technical Administration:
Administers Marketing Cloud technical infrastructure—data extensions, automation schedules, API/SFTP connections, send classification, and deliverability monitoring.
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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.
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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.
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Continuous Learning & Roadmap Awareness:
Stays current on the Salesforce product roadmap, industry trends in customer data platforms and marketing technology.
Qualifications
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Bachelor’s degree in Information Technology, Computer Science, Information Systems, or a related field; or equivalent combination of education and experience.
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At least three (3) years of hands-on experience with Salesforce Marketing Cloud, Salesforce Data Cloud, or a comparable customer data platform.
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Demonstrated experience with customer data platforms, unified customer data environments, or data management at scale (100K+ records).
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Experience collaborating with marketing or business teams on data-driven initiatives.
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Salesforce Certified Administrator (within 12 months of hire if not already held).
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Salesforce Certified Data Cloud Consultant (within 18 months of hire if not already held).
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Salesforce Certified Marketing Cloud Administrator, Marketing Cloud Developer, or Marketing Cloud Email Specialist (within 18 months of hire if not already held).
Requirements
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Existing Salesforce certifications at hire (particularly Data Cloud Consultant, Marketing Cloud Administrator, or Marketing Cloud Consultant).
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Experience with unified customer identity or single sign-on implementations across multiple web properties.
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Experience with AI-driven platform features, predictive analytics, or marketing automation AI capabilities.
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Experience in publishing, media, religious/nonprofit, or subscription-based business environments.
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Familiarity with e-commerce platforms, particularly NOP Commerce or similar .NET-based commerce systems.
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Experience with ERP integrations or enterprise financial systems.
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Tableau Desktop Specialist or Tableau Certified Data Analyst certification.
Benefits
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Fully remote position.
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Occasional off-hours work may be required during platform release windows, critical integration failures, or time-sensitive data issues.
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Minimal travel (less than 10%) may be required for vendor meetings, industry events, or cross-site collaboration.
AI-Enabled Workplace
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Responsible AI Integration – Leverage AI tools strategically to streamline workflows, generate actionable insights, and deliver exceptional outcomes that advance our mission.
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Critical Evaluation & Oversight – Apply professional judgment and critical thinking when reviewing, refining, and validating all AI-generated content and recommendations.
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Continuous Learning & Innovation – Maintain curiosity and adaptability toward emerging AI technologies.
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Ethical & Secure Practice – Uphold UMPH’s commitment to ethical, transparent, and secure AI usage.
Equal Employment Opportunity
UMPH is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.