Appian Corporation
Marketing Data Manager
McLean, Virginia · Senior
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About the role
- Appian is investing in marketing infrastructure that scales with explosive growth in enterprise AI adoption.
- This role exists to transform our marketing database from a reactive asset into a proactive growth engine, establishing the data quality standards and governance frameworks that power segmentation, personalization, and attribution at scale.
Responsibilities
- Architect and execute data hygiene programs within Marketo and Salesforce, including deduplication, enrichment, segmentation frameworks, and automated governance workflows that maintain compliance with GDPR and global opt-in regulations.
- Partner with Marketing Operations, Demand Generation, and Sales Operations teams to design and implement lead routing, scoring models, and segmentation strategies that accelerate pipeline velocity and improve lead-to-MQL conversion.
- Lead cross-functional initiatives to standardize data capture, field utilization, and taxonomy across marketing systems, ensuring consistency that enables accurate reporting and strategic decision-making.
- Drive continuous optimization of data processes by identifying gaps, recommending automation opportunities, and implementing scalable solutions that reduce manual effort while improving data integrity
- As Appian scales its AI-Powered Process Automation platform globally, this team ensures marketing moves fast with confidence, backed by clean data and automated workflows that drive measurable business outcomes.
- You will define what success looks like, measure it, and drive continuous improvement across global and regional stakeholders.
Requirements
- Marketing Automation Expertise: Deep hands-on experience with Marketo, including database management, segmentation, campaign execution, and integration with CRM systems.
- CRM Proficiency: Strong working knowledge of Salesforce, including custom object management, field mapping, reporting, and marketing-to-sales data flow.
Nice to have
- Compliance Management: Experience managing GDPR, CCPA, and other global opt-in and consent processes, including system configuration, documentation, and stakeholder training.
- Process Automation: Familiarity with workflow automation, data enrichment tools, and API integrations that reduce manual effort and improve data quality at scale.
- Ecosystem Experience: We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment.
- Tools and Resources
- Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training.
- This commitment ensures that employees have access to a holistic range of development opportunities.
- Community: We'll immerse you into our community rooted in respect starting on day one.
- Appian fosters inclusivity through our 8 employee-led affinity groups.
Skills
- Marketing Data Manager
- McLean, Virginia, USA |
- On-site at Appian Headquarters
Compensation
- $75,000 - $175,000 USD
Benefits
- Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future.
- Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to.
Company info
- Marketing Operations creates reliable reporting frameworks based on consistent and segmented data, while creating a frictionless journey from lead to MQL.
- The team is responsible for the marketing team's data, analytics, lead lifecycle, budgeting, tech & tools.
Equal opportunity
- equal opportunity employer that strives to attr
Visa & Work Authorization
- Architect and execute data hygiene programs within Marketo and Salesforce, including deduplication, enrichment, segmentation frameworks, and automated governance workflows that maintain compliance with GDPR and global opt-in regulations.
This listing is sourced directly from Appian Corporation's careers page and normalized into a canonical job model.