Sr. Data Architect, AI & Analytics Platforms

Avery Dennison is a global materials science and digital identification solutions company with locations in over 50 countries and approximately 35,000 employees worldwide. As a science and innovation company, we believe diverse teams are stronger and are committed to fostering a culture of curiosity and courage. Vestcom, a standalone business unit of Avery Dennison, is the industry leader in technology-driven shelf-edge solutions for retailers and CPGs, offering stability with the entrepreneurial spirit of a high-growth innovator.

About the role

The Sr. Data Architect - AI & Analytics Platforms is a high-impact, hands-on technical role within the Data Strategy & Insights (DSI) organization. This position architects, builds, and scales DSI’s next-generation decision intelligence engines, bridging complex engineering pipelines and actionable business intelligence. The role is remote unless the employee is within a 40-mile radius of a Vestcom location, in which case they will work onsite twice a week.

Responsibilities

• Platform Architecture & AI Enablement: Architect and implement scalable, cloud-native analytics platforms (Databricks, Snowflake) that enable direct self-service access to insights, predictive models, and GenAI-assisted analytics tools.
• Engineering Collaboration & Technical Mentorship: Act as the hands-on bridge between business strategy and engineering teams, translating complex business rules into modular SQL/Python code, data models, and scalable platform services.
• Decision Engine Development & Automation: Design, evolve, and automate measurement engines and algorithms that compute campaign performance (e.g., iROAS, Test vs. Control) against massive retail transaction datasets.
• Multi-Source Data Integration: Author integration pipelines and data models that unify multi-retailer point-of-sale (POS) data, third-party syndicated datasets, and internal platform metrics into an integrated Analytics Data Warehouse.
• Analytics Productization & Stack Optimization: Transform exploratory analytical models into production-ready analytical tools (e.g., Category Buyer Dynamics, predictive audience targeting) while continuously optimizing the cloud data warehousing and decision intelligence ecosystem.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Business Analytics, Data Science, or a related quantitative field.
• 8+ years of progressive experience in data engineering, platform development, or analytics architecture, including 3+ years at a senior technical level.
• Strong background in CPG/Retail analytics, point-of-sale (POS) transactional data, and campaign measurement methodologies (Test vs. Control).
• Experience with digital in the Retail Media Network (RMN) space (in-store digital media, DOOH, ESL, etc.).
• Proven hands-on experience architecting and deploying analytics solutions on Databricks or Snowflake environments.
• Advanced proficiency in SQL, Python, database design, star/snowflake schema data modeling, ETL/ELT pipeline design, and API integration.
• Experience incorporating machine learning models, predictive algorithms, and AI tools into operational analytics workflows, with demonstrated ability to write production code.
• Exceptional organizational, communication, and problem-solving skills, with a proven ability to lead technical execution across cross-functional teams.

Benefits

• Inclusive Care: Access to a large network of medical and behavioral health professionals.
• 401(k) Savings Plan: Automatic 3% company contribution (even if you contribute $0) plus a 50% match on the first 7% of eligible pay contributed.
• Healthcare Coverage: Options to support you and your family based on personal needs.
• Paid Time Off: Generous vacation program varying by experience and position.

Pay

The salary range for this position is $119,000 - $178,000 per year. Actual salaries may vary based on factors such as skills, experience, education, location, job scope, and responsibilities.