Senior Digital Analytics Customer Experience; CX Engineer

We are seeking a highly analytical and technically skilled Senior Digital Analytics Customer Experience (CX) Engineer to join our Global Digital Analytics Customer Experience (CX) team, supporting the Performance Coatings Group's digital initiatives. This role is responsible for designing, implementing, and optimizing digital data collection strategies across websites, applications, and digital marketing channels.

The ideal candidate brings deep experience in digital analytics, strong data engineering and data governance expertise, and experience in data science and AI. This candidate is expected to use these skill sets to help elevate customer experiences, build a foundation for personalization and digital marketing activation, and drive business growth.

As a senior member of the team, this person will play a critical leadership role in ensuring data quality, standardization, and connectivity across digital platforms, while advancing our measurement framework, analytics automation, and predictive insights capabilities.

Travel Required:

10%

This role is not remote/hybrid. This role will report to Sherwin-Williams Global Headquarters located at 1 Sherwin Way, Cleveland, OH 44113.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.

• Partner with digital analysts and IT to enable insights generation for marketing, product, and digital teams through reliable, well structured data and tagging strategies (Adobe Analytics, Google Analytics)

• Partner closely with development teams, conduct thorough QA and user acceptance testing (UAT) for analytics tags, data layer updates, and new digital customer experiences.

• Lead digital tagging strategy, implementation, and validation using enterprise tag management systems (e.g., Adobe Tags, Google Tag Manager).

• Own and evolve the Solution Design Reference (SDR) documentation, ensuring alignment with business requirements and best practice analytics architecture.

• Provide technical guidance on digital data layer design, event tracking, custom dimensions/variables, and tagging governance.

• Support A/B and multivariate testing with Adobe Target by establishing proper tagging, data validation, and measurement frameworks.

• Build audience segments for digital marketing activation and personalization in Adobe or other digital platforms.

• Connect digital platforms and data by designing and maintaining scalable, automated data pipelines from digital marketing, analytics, and business intelligence platforms (e.g., Tableau)

• Perform exploratory data analysis (EDA) using Python, R, or SQL to support segmentation, clustering, and predictive modeling.

• Assist in the development and deployment of machine learning models (e.g., churn prediction, propensity scoring, anomaly detection).

• Champion enterprise data governance and quality standards across digital analytics platforms

• Identify data gaps, inconsistencies, and duplication; drive improvements to increase data completeness, accuracy, and scalability.

• Maintain and enhance naming conventions, taxonomies, standards, and data dictionaries for analytics assets.

• Contribute to data hygiene routines including anomaly detection, validation processes, and automated quality checks.

• Serve as a trusted technical advisor to marketing, ecommerce, digital products, and IT teams.

• Communicate complex data concepts and implementation details to both technical and nontechnical audiences with clarity.

• Provide mentorship and guidance to junior analysts and engineers, fostering growth and knowledge sharing across the team.

• Must be at least eighteen (18) years of age
• Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future (e.g., OPT, CPT, H1B, EB-1, etc.).
• Must have a bachelors degree or higher
• Have at least two (2) years of experience in leadership role(s), supervising others or leading teams
• Must have five (5) years of experience in digital analytics engineering, analytics implementation, web measurement, or marketing data engineering roles.
• Must have strong hands‑on expertise with digital analytics platforms such as Adobe Analytics, Google Analytics 4, or similar enterprise solutions.
• Must have advanced proficiency with tag management systems (Adobe Tags,…