Job Description

The Global Data Project Manager is responsible for the planning, coordination, execution and successful delivery of a portfolio of multiple projects for the Multi-Color Analytics Platform (MAP) This role serves as a pivotal link between business stakeholders, technical teams and leadership, ensuring that enterprise data and analytics projects are delivered efficiently, on time, and aligned with strategic objectives. The successful candidate will possess a strong background in agile project management, deep understanding of data warehouse systems, and the ability to manage cross-functional, geographically dispersed teams.

This is a remote opportunity. Candidates in Eastern Time Zone are encouraged to apply.

Responsibilities:

• Lead data and analytics projects using Agile techniques and methodologies.

• Manage end-to-end delivery of global data warehouse and analytics initiatives using agile frameworks (Scrum, Kanban, etc.), ensuring iterative delivery and continuous improvement.
• Collaborate with business leaders, product owners, data architects, and engineering teams to define project scope, objectives, and success metrics.
• Oversee the creation, prioritization, and maintenance of the product backlog in partnership with the product owner. Facilitate requirement gathering, user story refinement, and acceptance criteria definition.
• Organize and lead sprint planning, daily stand-ups, sprint reviews, and retrospectives. Track progress toward sprint goals and manage barriers to delivery.
• Guide and motivate distributed project teams comprising data engineers, analysts, QA, and other specialists. Foster a culture of collaboration, transparency, and accountability.
• Identify, assess, and proactively manage project risks and issues. Communicate status, dependencies, and mitigation strategies to stakeholders.
• Champion agile best practices, process optimization, and innovation within the data and analytics organization.
• Deliver regular project status updates, dashboards, and executive summaries to global stakeholders and leadership.
• Support organizational readiness and adoption of new data solutions through effective change management and training initiatives.

• Guide and assist internal and vendor development teams.
• Assist in managing platform and delivery vendors. Stay current with platform innovations and actively seek opportunities to adopt new features.
• Model the Corporate Values (Integrity, Passion, Creativity, Perseverance and Achievement) and Principles 

· Qualifications:

• 10 years’ experience in data and analytics delivery roles, with a minimum of 5 as project or program manager. Experience with enterprise data warehouse development.
• Demonstrated strong project management skills.
• Dynamic communication skills.
• Passion for data and analytics platforms and delivery. 
• Strong relationship building and collaboration skills.
• Experience with modern data and analytics platforms, preferably Snowflake, Matillion and PowerBI. 
• Global Manufacturing or print industry experience. 
• Bachelor’s degree, preferably in Computer Science.

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For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world’s most iconic and recognizable brands. Our labels elevate emotional connections with consumers and help brands stand out in competitive markets. Honoring our rich history as a market leader, we focus on the future by developing sustainable packaging solutions and consumer-driven innovations.

MCC combines global reach with the personalized touch of local service through our network of facilities across 25+ countries. More than 12,000 teammates come together to make our industry-leading work possible and bring our True Colors to life. Join us at MCC, where every product is Labeled with Care. Learn more at  .

If you need assistance or an accommodation in applying, please contact our Human Resources Department at recruiting@mcclabel.com .

Multi-Color is committed to providing equal employment opportunities and prohibits discrimination based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

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