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Dentsu Aegis Network

Technical Implementation Lead, Qualtrics

Dentsu Aegis Network, Granite Heights, Wisconsin, United States

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Employer Industry Technology and Data Solutions

Why consider this job opportunity

Salary up to $182,850

Comprehensive benefits including medical, vision, and dental insurance, life insurance, and 401(k)

Flexible paid time off and at least 15 paid holidays per year

Opportunities for career advancement and growth within the organization

Work in a hybrid model, with flexibility to work remotely depending on location

Engage in a collaborative work environment that values innovation and teamwork

What to Expect (Job Responsibilities)

Develop strategies to implement technology solutions that align with client business goals

Manage complex data integrations and design survey architectures that meet client needs

Lead enterprise-level implementations of SaaS platforms and configure the Qualtrics platform

Collaborate with clients to gather requirements and present technical solutions

Test and validate survey logic, data flows, and integrations to ensure quality and performance

What is Required (Qualifications)

10+ years of experience leading complex technical programs, ideally in a services company or SaaS environment

BA/BS in Experience Design, Engineering, Information Systems, or equivalent experience

Proficiency in Qualtrics CoreXM, CustomerXM, EmployeeXM, or BrandXM modules

Strong communication skills, able to explain technical details to non-technical stakeholders

Experience with APIs, JavaScript, HTML, CSS, and familiarity with data integrations and analytics tools

How to Stand Out (Preferred Qualifications)

Experience with Qualtrics or similar survey platforms in enterprise implementations

Knowledge of automation workflows within Qualtrics to trigger actions across the tech stack

Familiarity with project management and client relationship skills

Strategic thinking skills to align technology with business outcomes

Experience with additional programming languages such as SQL or Python

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