Senior Digital Analytics Customer Experience (CX) Engineer

Additional Information:

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.

Enable Personalized Digital Customer Experiences through Data Collection & Connectivity

Digital Data Collection, Tagging, and Implementation

• Partner with digital analysts and IT to enable insights generation for marketing, product, and digital teams through reliable, wellstructured 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 bestpractice analytics architecture.

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

Data-Driven Customer Experience Personalization and Segmentation

• 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.

Data Engineering, Data Science, and AI Enablement

• 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).

Digital Data Governance & Quality

• 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.

CrossFunctional Collaboration with Customer Experience Teams

• 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.