Director, Marketing Data Operations

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Marketing Data Operations in the United States. This is a high-impact leadership opportunity for a marketing operations expert who thrives at the intersection of data, technology, and go-to-market strategy. In this role, you will lead the operational infrastructure that powers global marketing performance, ensuring campaigns, attribution models, and audience strategies are scalable, measurable, and aligned with revenue goals. You will oversee cross-functional collaboration between marketing, sales, enterprise systems, and analytics teams while managing a distributed global email operations function. The position combines strategic leadership with hands-on operational ownership, offering the opportunity to shape data governance, campaign architecture, and customer engagement strategies across multiple channels. Ideal candidates are analytical, detail-oriented leaders with a passion for operational excellence, process optimization, and data-driven decision-making. This role offers a dynamic environment where innovation, collaboration, and measurable business impact are highly valued.
• Accountabilities: Lead the development and optimization of the marketing data operations infrastructure, ensuring accurate audience segmentation, campaign execution, and attribution across global marketing initiatives. Define and maintain scalable segmentation strategies, including persona frameworks, lifecycle stages, ICP scoring, and audience governance within marketing automation and CRM platforms. Own the global campaign taxonomy and UTM governance framework to ensure consistency, tracking integrity, and reliable multi-channel reporting. Manage the end-to-end marketing attribution ecosystem, connecting campaign engagement, lead creation, pipeline generation, and revenue reporting across multiple systems. Partner with analytics and finance teams to support marketing performance measurement, including funnel reporting, CAC, ROAS, LTV, and multi-touch attribution modeling. Oversee global email operations teams responsible for campaign deployment, quality assurance, list management, deliverability, and operational SLAs across multiple business units. Develop engagement reporting frameworks and operational workflows that improve lead follow-up, customer engagement, and campaign efficiency. Collaborate closely with enterprise systems, revenue operations, sales, and demand generation teams to ensure alignment between operational processes and broader business objectives. Evaluate and operationalize data enrichment, intent data, and account-based marketing technologies to improve targeting precision and pipeline acceleration. Drive continuous improvement initiatives through automation, operational governance, and the thoughtful integration of AI-powered tools and workflows. Requirements: 8+ years of experience in marketing operations, revenue operations, or marketing data management within a B2B environment. Minimum 3 years of people leadership experience, including managing geographically distributed or global teams. Deep hands-on expertise with HubSpot and Salesforce, including workflows, campaign management, reporting, segmentation, and CRM data structures. Strong experience managing campaign taxonomy, UTM governance, and attribution frameworks at scale. Advanced understanding of first-touch, last-touch, and multi-touch attribution models, including the supporting data infrastructure required for accurate reporting. Proven experience overseeing large-scale email marketing operations, including deliverability, segmentation, automation, and reporting processes. Strong analytical, communication, and cross-functional collaboration skills with the ability to translate operational data into strategic recommendations for senior leadership. Familiarity with intent data platforms, ABM technologies, enrichment tools, and paid media tracking infrastructure is highly desirable. Working knowledge of SQL, data querying, or attribution validation processes is considered a strong advantage. Experience leveraging AI tools or automation technologies to improve operational efficiency, reporting accuracy, or marketing performance is highly valued. Benefits: Competitive salary package with compensation based on experience, skills, education, and geographic location. Comprehensive healthcare coverage including medical, dental, and vision insurance. 401(k) retirement plan with employer matching contributions. Flexible paid time off, sick leave, and 12 paid company holidays. Parental leave and family support benefits. Life insurance, disability insurance, accident, and illness coverage. Flexible spending accounts for healthcare and dependent care expenses. Wellness programs and employee well-being resources. Flexible remote work opportunities across most U.S. states, with hybrid options available for employees near office locations. Collaborative and innovation-driven work environment with opportunities to work on large-scale global marketing initiatives and advanced operational technologies.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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