Sr. Data Architect, AI & Analytics Platforms

Avery Dennison
Little Rock
Workplace: RemoteFull timeUSD 119,000 - 178,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: mastersSkills: ["Communication","Problem-solving","Organizational skills","Leadership","Cross-functional collaboration"]

Architect and scale next-generation decision intelligence engines that turn predictive analytics and AI models into robust, automated analytics platforms. Partner with data engineering teams to translate business rules into SQL/Python code, data models, and production platform services. Build measurement and automation for campaign performance using large retail transaction datasets, integrate multi-source POS and syndicated data into an analytics warehouse, and productize exploratory models into production-ready analytics and decision tools.

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Avery Dennison
Avery Dennison
1 week ago

Sr. Data Architect, AI & Analytics Platforms

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Last checked: 17 hours agoStatus: Live

Job Summary

Architect and scale next-generation decision intelligence engines that turn predictive analytics and AI models into robust, automated analytics platforms. Partner with data engineering teams to translate business rules into SQL/Python code, data models, and production platform services. Build measurement and automation for campaign performance using large retail transaction datasets, integrate multi-source POS and syndicated data into an analytics warehouse, and productize exploratory models into production-ready analytics and decision tools.
Location: Little Rock
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect and implement scalable, cloud-native analytics platforms (Databricks, Snowflake) that enable self-service access to insights, predictive models, and GenAI-assisted analytics tools.
  • •Act as the hands-on bridge between business strategy and engineering teams by translating complex business rules into modular SQL/Python code and scalable platform services.
  • •Design, evolve, and automate measurement engines and algorithms that compute campaign performance (e.g., iROAS, Test vs. Control) using large retail transaction datasets.
  • •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.
  • •Transform exploratory analytical models into production-ready analytical tools (e.g., Category Buyer Dynamics, predictive audience targeting) while optimizing the cloud data warehousing and decision intelligence ecosystem.

Pay and Benefits

Salary: USD 119,000 - 178,000 annually
Perks:Health Insurance401kPaid Leave

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Data Engineering, Business Analytics, Data Science, or a related quantitative field, with 8+ years of progressive experience in data engineering, platform development, or analytics architecture (including 3+ years at a senior technical level).
  • •Strong CPG/Retail analytics background, including point-of-sale (POS) transactional data, campaign measurement (Test vs. Control), and experience in digital Retail Media Network (RMN) space.
  • •Hands-on experience architecting and deploying analytics solutions on Databricks or Snowflake environments.
  • •Advanced proficiency in SQL and Python, database design, star/snowflake schema data modeling, and ETL/ELT pipeline design with API integration experience.
  • •Ability to write production code with data engineers and incorporate machine learning models, predictive algorithms, and AI tools into operational analytics workflows.
Experience:8+ yearsCPG/RetailRetail Media Network (RMN)Data engineeringAnalytics architectureMachine learning
Education:Master's in Computer Science, Data Engineering, Business Analytics, Data Science, or related quantitative field
Skills:CommunicationProblem-solvingOrganizational skillsLeadershipCross-functional collaboration
Languages:English
Tech Stack:DatabricksSnowflakeSQLPythonGenAIMachine learningPredictive analyticsETLELTData modelingStar schemaSnowflake schemaAPI integration

Company Brief

Avery Dennison
Produces pressure-sensitive materials, labels, tags, packaging solutions, and RFID inlays and software for retail, logistics, and industrial customers. The company serves global brands with products that help identify, track, and enhance merchandise and supply chains.
Industry: Printing & Packaging
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Glendale, United States
Founded: 1935
WebsiteLinkedIn