Marketing Automation Manager

COLLETTE TRAVEL SERVICE•Pawtucket, RI

9d•$75,000 - $110,000•Hybrid

About The Position

Collette is seeking a Marketing Automation Manager to join its Marketing Team in a hybrid role based at headquarters in Pawtucket, Rhode Island. The role is a strategic, hands-on resource within the Marketing Automation function and operates under the direction of the Associate Director, Digital Strategy. It expands the team’s capacity to design, build, test, document, and optimize customer journeys in the marketing automation platform. The manager translates marketing and customer experience needs into scalable journeys, workflows, audience segments, triggered communications, and personalized experiences. The role drives the delivery and optimization of assigned marketing journeys while coordinating cross-platform requirements and dependencies with business and technology partners. It supports automation across customer, advisor, and partner lifecycles, balancing immediate needs with long-term scalability, governance, deliverability, and customer experience.

Requirements

At least 5 years of experience in marketing automation, marketing technology, CDP, lifecycle marketing, customer journey management, or a related field, including experience supporting complex and varied marketing journeys.
Hands-on experience designing, building, testing, and optimizing marketing automation journeys and workflows.
Strong knowledge of segmentation, enrollment and suppression rules, lifecycle management, routing, personalization, and triggered communication.
Experience translating business needs into functional requirements, data requirements, process flows, use cases, acceptance criteria, and implementation-ready documentation.
Strong facilitation, systems-thinking, documentation, analytical, problem-solving, and stakeholder-management skills.
Ability to translate strategic priorities into hands-on execution while balancing governance, prioritization, scalability, and continuous improvement.

Nice To Haves

HubSpot experience.
Working knowledge of CRM, customer data platforms, analytics, consent, data governance, and integration concepts.
Familiarity with email deliverability, QA, UAT, HTML/CSS, and practical applications of AI in marketing automation.

Responsibilities

Design, build, test, document, maintain, and optimize assigned marketing automation journeys, coordinating decisions, dependencies, and approvals with relevant stakeholders.
Translate business and journey strategies into scalable platform requirements, audience definitions, business rules, and measurement plans.
Develop scalable lead, customer, and relationship-based marketing journeys.
Facilitate discovery and journey-mapping sessions to identify stakeholder needs, friction points, handoffs, and automation opportunities.
Translate customer, advisor, and partner needs into qualification criteria, required fields, routing logic, and nurture strategies in the marketing automation platform.
Design connected experiences across leads, travelers, travel advisors, and partner organizations while reducing duplicate or conflicting communications.
Partner with stakeholders to define marketing, data, audience, trigger, field, acceptance, and system requirements for teams responsible for CDP, integrations, analytics, and other marketing technologies.
Identify and document marketing-use-case gaps involving data availability, quality, timing, identity, consent, or connectivity, and coordinate resolution with appropriate stakeholders.
Represent marketing requirements in solution-design discussions, support field-mapping reviews, and coordinate resolution of data, integration, or platform issues.
Create journey maps, workflow diagrams, requirements, decision records, process documentation, and SOPs to support implementation and maintenance.
Apply and help evolve marketing automation governance standards while following applicable data, privacy, CRM, and technology requirements.
Define acceptance criteria; conduct or coordinate functional QA and business UAT; and monitor for conflicting workflows, unintended enrollment, duplicate communications, and marketing-use-case data issues.
Define journey success measures with Analytics and use approved reporting to improve performance, personalization, operational efficiency, and customer or partner outcomes.
Promote a test-and-learn approach and evaluate practical applications of AI and emerging marketing technologies based on customer value, feasibility, data readiness, governance, risk, and scalability.