Sr. Data Architect, AI & Analytics Platforms

About the company

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 teams. We foster a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we provide an open, collaborative culture where diversity of thought is encouraged and respected.

Vestcom is the industry leader in technology-driven shelf-edge solutions for Retailers and CPGs. Our data-integrated media solutions drive sales and loyalty, engaging shoppers at the point of decision. Vestcom is a standalone business unit of Avery Dennison, offering the stability of an established company with the entrepreneurial spirit and fast-paced environment of a high-growth technology 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. In this role, you will architect, build, and scale DSI’s next-generation decision intelligence engines, bridging the gap between complex engineering pipelines and actionable business intelligence. You will work directly with data engineering teams to turn business logic, predictive analytics, and AI models into robust, automated data platforms. This role focuses on building foundational platform architectures, automated pipelines, and AI enablement layers that empower CPG clients and internal teams to directly access advanced insights, optimize campaign spend, and measure incremental performance at scale.

This is a remote position unless you are within a 40-mile radius of a Vestcom location, in which case you will work onsite 2x 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, partnering closely with senior and junior data engineers to translate 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.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Business Analytics, Data Science, or related quantitative field, with 8+ years of progressive experience in data engineering, platform development, or analytics architecture (including 3+ years operating at a senior technical level).
• Strong background in CPG/Retail analytics, point-of-sale (POS) transactional data, campaign measurement methodologies (Test vs. Control), and 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, with advanced proficiency in SQL, Python, database design, star/snowflake schema data modeling, ETL/ELT pipeline design, and API integration.
• Strong familiarity and experience incorporating machine learning models, predictive algorithms, and AI tools into operational analytics workflows, with a demonstrated ability to write production code alongside data engineers.
• Exceptional organizational, communication, and problem-solving skills, with a proven ability to lead technical execution across cross-functional teams and effectively communicate platform capabilities to non-technical business stakeholders.

Benefits

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

Pay

The salary range for this position is $119,000 - $178,000 per year. Actual salaries will vary within the range based on factors including but not limited to a candidate’s relevant skills, experience, education, training, job scope, responsibilities, and location.