Dir. Digital Analytic Architect & Engineering

COLLETTE TRAVEL SERVICE INC•Pawtucket, RI

1d•$180,000 - $215,000•Hybrid

About The Position

Collette is looking for a Director, Digital Analytics Architecture and Engineering to join our growing Engineering Team. This is a hybrid role based at our headquarters in Pawtucket, RI. About Collette: Let Us Show You the World! There has never been a better time to be in the travel industry. See the world, connect with others, and experience the immersive benefits of one of the trendiest industries when you join the Collette team! As the longest-running tour operator in North America, our family-owned business leads the industry in innovation and expertise. Collette’s passionate team works hard to fulfill travel dreams and is always looking for talent that will help to shape the company’s future. Being part of the Collette team means having a willingness to grow, a desire to learn and ask questions, and a zest for seeing the world. From giving back to local communities to creating incredible experiences for a world of travelers and being part of a value-oriented team that cares for one another – Collette is all about the people. So, what are you waiting for? Your journey starts here.

Requirements

Demonstrated expertise in modern digital-platform architecture across websites, applications, user portals, frontend and backend services, standardized data layers, tag management systems (TMS), and third-party marketing integrations, with the ability to document current-state data flows, define scalable target-state architecture, and set technical direction.
Experience partnering with product management and senior stakeholders to create product and technical roadmaps, govern change decisions, evaluate tradeoffs, and translate strategy into realistic quarterly delivery plans.
A track record of leading complex, cross-functional initiatives across engineering, marketing, product management, digital analytics, privacy, and operations, establishing clear requirements, decision rights, milestones, and accountability for outcomes.
Deep experience with digital analytics, event tracking, data layer design, tag management systems (TMS), consent management, customer relationship management, and marketing technology platforms, including the governance of event schemas, naming conventions, data collection, usage, quality, and compliance requirements.
Proven ability to produce clear technical, decision, and change-management documentation; define comprehensive testing and stakeholder acceptance plans; and communicate architecture, risks, dependencies, and tradeoffs to technical and non-technical audiences.
Demonstrated experience leading engineering or analytics organizations through managers, including setting direction, developing leaders, planning capacity, identifying delivery and production risks early, and establishing sustainable operating and support models.

Responsibilities

Define and maintain the end-to-end digital analytics architecture, documenting how customer and behavioral data flows from websites, applications, and user portals through standardized data layers into tag management systems (TMS), analytics platforms, and downstream marketing integrations.
Work with product management to create a product & technical roadmap.
Document change-management decisions and proposed roadmap changes.
Translate business and compliance needs from marketing team into clear technical requirements.
Turn complex technical requirements into quarterly projects and sequence tasks realistically to meet deadlines.
Facilitate alignment among web engineers, marketing analysts, product management and digital analytics, ensuring stakeholders are informed throughout project planning and execution.
Create comprehensive testing plans which include stakeholders’ acceptance testing phases.
Own tracking, consent and data usage requirements; ensure these are included into each project across digital platforms.
As projects bring systems online, coordinate with operations and support teams to identify run-state requirements, support models, handoff needs. Identify production risks so projects are scoped with ongoing ownership in mind.
Lead and develop a management structure that may include managers responsible for distinct areas of digital analytics engineering. Set clear accountabilities, coach leaders, assess organizational capacity, support succession planning, and evolve team structure and skills as the digital analytics portfolio grows.