Data Solutions Specialist

Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide - including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive - we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at

At Avery Dennison, some of the great benefits we provide are:

• Health & wellness benefits starting on day 1 of employment
• Paid parental leave
• 401K eligibility
• Tuition reimbursement
• Employee Assistance Program eligibility / Health Advocate
• Paid vacation and paid holidays

Job Description

The Data Solutions Specialist manages our customers' variable data for printed labeling. Examples include price tags containing data such as item prices, sizes, and barcodes as well as care and content labels - either printing and shipping to the customer or enabling the customer to print themselves. This process requires taking data from our customers' IT systems and integrating it into Avery Dennison's software solutions, which enable the variable data (prices, sizes, etc.) to print correctly on tags and labels. The process includes collaboration with Sales forming the general strategy, conducting software demos as needed, and serving as the customer-facing variable data expert. Once an opportunity has been identified that will require variable data and/or online ordering, the Data Solutions Specialist engages directly with the customer to analyze their existing business data systems and take the technical steps to map and integrate the customer's' data into the Avery Dennison system/software. This role provides guidance and development support to our extensive customer base on world class data & order management and digital product solutions


Your Responsibilities

• Function as a primary and direct point of contact for retailers and brand owners to provide critical business/technical analysis for development needs related to variable data products and online ordering solutions
• Develop knowledge and ability to support discussion and development of customer data transactions, world class ordering solutions and digital product opportunities
• Provide guidance to customers and internal teams on our CX development tools to drive efficiency and simplification of variable data management
• Investigate and resolve customer variable data issues through use of systems or communication with production sites and various support teams
• Work closely with all global stakeholders to prepare project plans and critical paths to coordinate the activities with the customer as well as Avery Dennison internal teams to establish data transfer and/or successfully deploy online ordering solutions. Identify and manage to the project milestones and ensure dates and quality are met for new programs/changes to program ordering solutions
• Prepare Statement of Work hosting functional and data requirements for program design, schedule, and implementation. Continuously solicit feedback from customers at all appropriate phases of the life cycle.
• Participate in knowledge sharing and the continuous refinement/development of internal processes and systems for the evolution of the Project Management Processes.
• Lead calls with IT, Sales, Development & Ops teams to ensure all requirements are understood and fulfilled
• Drive and manage the implementation of multiple projects if required. Manage all details related to a project. Do everything necessary to ensure the success of a project. Deliver project metrics reporting as required.
• Develop and maintain strong knowledge of all aspects of variable data such as barcodes, RFID, etc. to support and guide customers on current labeling and future digital platforms
• Ensure functional and data requirements needs are met by preparing a test plan and performing end to end testing which may include final User Acceptance Test (UAT) with customer
• Provide direction to Customers and to Sales concerning variable data product lines and backend systems supporting operations and ordering solutions that optimize customer's global trim supply chain; attend customer meetings to discuss and present our solution
• Working directly with the customer to maintain and create global or customer specific data models, providing detailed requirements to the development team, testing and approving final output. Collaborate with the VDS team enabling reusability of the data models
• Collaborate with Operations teams and provide training to enable effective roll out and ongoing troubleshooting to resolve issues
• May provide coaching and support to other team members
• Support or take the lead on strategic, high growth, complex or new accounts

Qualifications

• Strong interest in information technology solutions and data analysis.
• Basic understanding of IT programming would be beneficial, as this role works with IT Programmers.
• Proven ability to establish and maintain strong customer relationships
• Commercial acumen and strategic thinking
• Able to provide coaching and provide training/guidance to others in the team
• Demonstrated ability to be highly organized while managing multiple projects to completion against tight deadlines
• Excellent problem solving and analytical skills, investigative mindset and a keenness to resolve and find the cause of problems
• Highly effective oral and written communication and presentation skills with both internal and external customers
• 3+ years of experience in data analysis, system integration or B2B customer service preferred
• Knowledge of the retail, apparel or label industries an advantage
• High level of PC skills, which may include but not limited to: G Suite by Google, Word, Excel, Access, ERP (Oracle preferred), product/customer databases
• Self motivated with ability to work independently under own initiative, take ownership and drive for solutions
• Bachelor's degree or equivalent knowledge gained through training and experience
• PMP or Prince2 project management certificate would be advantageous but not essential
• Fluent in English
• Willingness to be flexible towards working hours and occasional off-site travel

Additional Information

The salary range for this position is $74,000 - $85,000 / year.

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate's relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Experienced Avery Dennison employees who are interested in this position and have questions regarding how the hiring range listed above may apply to them should contact their HR representative. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.

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