Data Engineering Manager

Newell Brands; Hoboken (NJ); Hybrid; USD 138,000 - 148,000; Full time

Job summary

Newell Brands is seeking a Data Engineering Manager in Hoboken, NJ to lead a multidisciplinary, agile team responsible for designing, building, and operationalizing AI-enabled applications across the enterprise. The role will drive production-grade AI solutions leveraging ML, generative AI, and advanced analytics, with APIs, tools, and workflows to expose intelligence.

You will partner with data scientists, ML engineers, BI teams, and product owners to deliver end-to-end AI solutions,

Qualifications

• Bachelor’s degree or higher in Computer Engineering, Computer Science or a related quantitative field.
• 3 years of experience in the job offered or as a Data/Software Engineer.
• Experience with Python programming, Linux, and API integrations.

Responsibilities

• Lead a multidisciplinary, agile team to design, build, and deploy production‑grade AI-enabled applications across the enterprise.
• Translate business problems into scalable AI architectures; collaborate with data scientists, ML engineers, and product owners.
• Own the full AI application lifecycle from prototype to production, including monitoring, retraining, and governance.

Skills

Python

Linux

API integrations

Education

Bachelor's degree in CS/Engineering

Job description

Job ID: 17769

Alternate Locations:

Newell Brands is a leading consumer products company with a portfolio of iconic brands like Graco®, Coleman®, Oster®, Rubbermaid®, Sharpie® and Yankee Candle® - and 24,000 talented teammates around the world. Our culture is built on values in action: Integrity, Teamwork, Passion for Winning, Ownership, and Leadership. We work together to win, grow, and make a real impact—supported by a high-performing, inclusive, and collaborative environment where you can be your best, every day.

Employer: Newell Brands Distribution, LLC

Location Type: Hybrid

Job Location: Hoboken, NJ

Job Title: Data Engineering Manager

Job Description:

To lead a multidisciplinary, agile team responsible for designing, building, and operationalizing AI-enabled applications across the enterprise. These applications will consume curated data and machine learning outputs and expose intelligence through APIs, user-facing tools, embedded workflows, and automated decision systems. Design, develop, and deploy production-grade AI applications leveraging machine learning, generative AI, and advanced analytics. Lead development of AI-enabled services such as decision engines, recommendation systems, forecasting tools, copilots, and agent-based workflows. Translate business problems into scalable AI application architectures that balance speed, reliability, security, and maintainability. Define and evolve the technical architecture for AI applications in partnership with enterprise architecture and platform teams. Build reusable frameworks, APIs, and service patterns that accelerate AI solution delivery across Quantum Leap use cases. Ensure AI applications integrate seamlessly with enterprise data platforms, model pipelines, and downstream business systems. Own the full lifecycle of AI applications from prototype to production, including monitoring, retraining, and continuous improvement. Implement best practices around MLOps, model serving, prompt management, versioning, observability, security, and responsible AI usage. Ensure AI applications meet enterprise standards for performance, availability, governance, and compliance. Partner closely with data scientists, ML engineers, business intelligence teams, and product owners to deliver end-to-end AI solutions. Enable faster experimentation by abstracting infrastructure and deployment complexity away from analytics teams. Act as a technical bridge between business stakeholders and AI engineering teams. Lead, mentor, and develop a team of engineers focused on AI application development. Evaluate and adopt emerging AI tools, frameworks, and development practices to improve team productivity and impact.

Job Requirements:

Bachelor’s degree or higher (or foreign equivalent) in Computer Engineering, Computer Science or a related quantitative field, plus three years of experience in the job offered or as a Data and/or Software Engineer. Must have experience with Python programming, Linux and API integrations. May work remotely 40% of the time.

Salary Range:

The New Jersey base pay range for this position is from $137,800 to $147,800. Salary will be based on prior experience related to the skills required for this position.

Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.