Sr. Data Architect, AI & Analytics Platforms
Avery Dennison
- Location
- Little Rock, AR, United States
- Employment
- Full Time
- Work model
- Remote
- Level
- Senior
- H-1B history
- 7 approvals (FY2023)
- Posted
- 3h ago
Skills
About this role
Sr. Data Architect, AI & Analytics Platforms Full-time Company Description Why join Avery Dennison: We are 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 that diverse teams are stronger teams. We are committed to fostering 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 strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com . 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. For our growing team of over 1,000 employees, Vestcom offers the stability of an established company with the entrepreneurial spirit and fast-paced environment of a high-growth technology innovator. Vestcom is a standalone business unit of Avery Dennison, a Fortune 500 leader in materials science and packaging materials.
Benefits
At Avery Dennison, some of the great benefits we provide are: Inclusive Care: Access to our large network of medical and behavioral health professionals. 401(k) Savings Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. We encourage you to save as much as possible to meet your goals. You receive an automatic 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: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs. Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.
Job Description
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, the Sr. Data Architect - AI & Analytics Platforms will architect, build, and scale DSI’s next-generation decision intelligence engines, bridging the gap between complex engineering pipelines and actionable business intelligence. Working directly with data engineering teams, this role turns business logic, predictive analytics, and AI models into robust, automated data platforms. Rather than building standard reports, the Sr. Data Architect - AI & Analytics Platforms builds 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.
Key Responsibilities
This is a remote position unless employee sits within a 40 mile radius of a Vestcom location then they will go onsite 2x a week. 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