Newell Brands is a leading $8.5B consumer products company with a portfolio of iconic brands such as Graco, Coleman, Oster, Rubbermaid and Sharpie, and 28,000 talented employees around the world. Our high-performance culture, unparalleled curiosity about the world around us, and talented people fuel our success. Our culture is enabled through our core values which guide all we do and how we win as One Newell. They are Integrity, Teamwork, Passion for Winning, Ownership & Leadership.
The Data Engineering Manager will play an integral role in developing and expanding a nascent core capability for the company by overseeing the acquisition, quality assurance and delivery of large volumes of data in support of the Newell Central Analytics team. This role is central to the goal of rapidly increasing our capability to quickly access and analyze data for insights that enable the teams to drive improvements in business critical areas like forecast accuracy, revenue management, consumer journey, customer service, assortment optimization, etc. that further overall company objectives around enabling growth, cash conversion, improving margin and productivity.
This role will work closely with a multidisciplinary, agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Newell to advance data-driven decision-making capabilities across the enterprise. You should have a solid understanding of data architecture, date engineering, reporting and working knowledge of data science workflows and business processes supported by the data pipeline. Examples of problems you will help solve alongside the Newell analytics and data science teams include determining optimal product assortments and next generation products, reimagining consumer engagement with personally relevant content, trade and promotion optimization, and several forecasting efforts as Newell continues to integrate its several businesses into a streamlined, highly efficient, unified corporation.
- Will consider senior manager level candidates for the right experience.
Specific Responsibilities
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to best ETL practices and business goals.
- Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
- Work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.
- Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
- Implement best practices around systems integration, security, performance and data management.
- Create data products for data science and business analyst team members to improve their productivity.
- Foster a culture of sharing, re-use, and design for scale, stability, and operational efficiency of data and analytical solutions.
- Evaluate, implement and deploy emerging tools and process for analytic data engineering in order to improve our productivity as a team.
- Partner with data scientists, machine learning engineers, business intelligence engineers and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Qualifications
- Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Bioscience, or Engineering is required. Master’s degree or equivalent professional experience preferred.
- For the Manager role, 5+ years of overall technology experience that includes at least 3 years of hands-on data tech experience including software development, data engineering and system architecture. For
the Sr. Manager role, 10+ years of overall experience, with 6+ years of data tech experience.
- Experience with software development and data engineering best practices, code testing, and using CI/CD tools in the workflow.
- Expert command of SQL and Python is required; familiarity with R a plus.
- Proficiency with Python and Pandas is required.
- Solid experience developing solutions on cloud computing services and infrastructure in the data and analytics space is required; previous experience with Azure specifically a plus.
- Experience with data lake infrastructure, data warehousing, and data analytics tools.
- Experience with orchestration tools such as Airflow.
- Database development experience using Hadoop, SPARK or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies a plus.
- Experience with containerized solutions such as Docker and ML orchestration tools such as Kubernetes or MLFlow a plus.
- Expert with computing resources running the Linux operating system.
- Good written and oral communication skills and the ability to use these to convey results comprehensibly to a non-technical audience.
- Strong character - ability to champion the right decision in difficult situations.
- Demonstrated ability to handle multiple tasks and assignments simultaneously.
_
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.
