Senior Data/AI Architect

At CNG, we are owners. We empower every individual to make a significant impact — because every moment matters. Whether you’re starting your career journey or aiming for the next level, we foster a supportive environment where your contributions are valued and celebrated.

Why Join CNG?

Employee Ownership: Every employee receives equity shares, enabling you to participate in our company's growth and prosperity.

Work-Life Balance: We support true work-life integration for all CNG employee owners.

Career Growth: Advance your career within our expanding network of manufacturing facilities with comprehensive training and development programs.

Purpose-Driven Work: Help create sustainable packaging solutions that reduce food waste and protect our environment for future generations.

The Role

From supporting internal teams to developing next-gen materials, our professional roles span strategy, innovation, and purpose. At CNG, you’ll do work that matters—and own it all.

Schedule : Hybrid, Business Hours

What You'll Do

• Design scalable architectures for enterprise data, analytics, machine learning, and AI solutions.
• Remain hands-on in the development of Python, SQL, data pipelines, APIs, and production applications.
• Design and build integrations across ERP, manufacturing, operational, commercial, finance, and other enterprise systems.
• Develop APIs and services using Python frameworks such as FastAPI.
• Establish architecture and engineering patterns for productionizing forecasting, optimization, machine learning, and AI solutions.
• Develop and promote MLOps and software engineering practices including CI/CD, automated testing, model deployment, monitoring, and observability.
• Define reusable patterns for integrating models and AI capabilities into business applications and workflows.
• Partner directly with manufacturing and business teams to understand operational processes and translate them into technical solutions.
• Help establish standards for data modeling, data quality, security, governance, integration, and platform architecture.
• Evaluate technologies and architecture decisions based on scalability, maintainability, cost, and business value.
• Mentor data engineers, analytics engineers, data scientists, and analysts and raise engineering standards across the team.
• Support modernization and simplification of legacy data and analytics systems.
• Periodically travel to CNG manufacturing locations to support high-value operational and manufacturing initiatives.

Qualifications

What You’ll Bring

• 8+ years of experience across data architecture, data engineering, machine learning engineering, software engineering, data science, or related technical disciplines.
• Advanced degree in engineering, computer science, data science, statistics, operations research, or a related discipline is a plus.
• Strong hands-on Python and SQL experience.
• Demonstrated experience designing and delivering production data and/or ML systems.
• Experience with modern cloud data platforms and enterprise data architecture.
• Experience designing APIs, services, or integrations between analytical platforms and business applications.
• Understanding of modern software engineering practices including Git, CI/CD, automated testing, monitoring, and deployment.
• Experience leading complex technical initiatives and mentoring technical professionals.
• Ability to communicate effectively with both technical teams and senior business stakeholders.

Compensation & Benefits

Total Rewards:

• Employee Ownership – Become a company owner day 1!
• Full medical, dental, and vision insurance upon hire
• Holiday Pay
• Paid vacation
• 401(k) with company match
• Performance-based bonuses
• Tuition reimbursement
• Career advancement opportunities across 18+ facilities

Ready to Own Your Future?

Join a team where every voice matters, every contribution counts, and every employee shares in our success.

Charter Next Generation is an Equal Opportunity Employer committed to creating an inclusive environment for all employees.