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. 

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. 

At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purpose, and for customers and our business to achieve great results. Sherwin-Williams is a place that takes its stability, growth and momentum and translates it to possibility for our people. Our people are behind the strength of our success, and we invest and support you in:

Life … with rewards, benefits and the flexibility to enhance your health and well-being
Career … with opportunities to learn, develop new skills and grow your contribution
Connection … with an inclusive team and commitment to our own and broader communities
It's all here for you... let's Create Your Possible

At Sherwin-Williams, part of our mission is to help our employees and their families live healthier, save smarter and feel better. This starts with a wide range of world-class benefits designed for you. From retirement to health care, from total well-being to your daily commute—it matters to us. A general description of benefits offered can be found at http://www.myswbenefits.com/. Click on “Candidates” to view benefit offerings that you may be eligible for if you are hired as a Sherwin-Williams employee.

Compensation decisions are dependent on the facts and circumstances of each case and will impact where actual compensation may fall within the stated wage range. The wage range listed for this role takes into account the wide range of factors considered in making compensation decisions including skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The wage range, other compensation, and benefits information listed is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable federal, state, and local laws including with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act where applicable.

Sherwin-Williams is proud to be an Equal Employment Opportunity employer.  All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status or any other consideration prohibited by law or by contract.

As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local employment services delivery systems to provide priority referral of Protected Veterans.

Please be aware, Sherwin-Williams recruiting team members will never request a candidate to provide a payment, ask for financial information, or sensitive personal information like national identification numbers, date of birth, or bank account numbers during the application process.

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, 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. 

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. 

Cross‑Functional 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 non‑technical audiences with clarity. 

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

Minimum Requirements: 

• 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, Google Tag Manager). 
• Must have experience designing and managing data layers, SDRs, and tagging governance frameworks. 
• Must be proficient in SQL for data extraction, transformation, and automation. 
• Must have working knowledge of Python or R 
• Must be familiar with cloud and data engineering environments such as Snowflake, Databricks, Azure, or GCP. 
• Must have experience with Tableau, Power BI, or other BI platforms 
• Must understand A/B testing platforms and experimentation (e.g., Adobe Target) 

Preferred Qualifications:

• Have a bachelor's degree or higher in Business or Marketing Analytics, Data Science, Statistics, Mathematics, Computer Science
• Have at least three (3) years of experience in leadership role(s), supervising others or leading teams 
• Have seven (7) years of experience in digital analytics engineering, analytics implementation, web measurement, or marketing data engineering roles.