Background & Purpose of the Job

​​The North America Senior Data Engineering Manager – will lead the team of data engineers/managers to develop data solutions to support product analytics managers and data scientists. This role will be partnering with internal data scientists, product managers and external stakeholders across the business to deliver advanced analytics. The ideal candidate is an experienced data engineer with vast hands-on experience and leadership experience in leading projects and teams from the ground up.​

Who You Are & What You’ll Do

​​Facilitate team’s delivery of scalable, maintainable, performant data engineering solutions. Work through your teams to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk. Drive the design and implementation of new data projects and the optimization of existing solutions. Collaborate across teams - business partners, product, engineering, architecture, platforms - to facilitate solution delivery. Work with architecture and engineers to ensure quality solutions are implemented, and engineering best practices are defined and followed. Drive collaborative reviews of designs, code, and test plans. Define the team’s technical roadmap and influence its adoption. Anticipate, identify and solve issues concerning data management to improve data quality. Work across teams to resolve operational & performance issues. Identify and remove technical bottlenecks for your engineering teams. Manage, mentor, and inspire the team; manage performance, goals and development potential. Provide guidance to team members on work items or technical scenarios​

You’re a dot connector and storyteller: ​You like to unravel complex data - building analytical tools that utilize the data pipeline to provide actionable insights, operational efficiency, and other key metrics. ​

You’re a changemaker: ​You are a self-starter - you can work independently to identify, design and implement internal process improvement; driving change with new innovative solutions, optimizing data delivery, re-designing for greater scalability. ​

You’re a paradox navigator: ​Enable data driven decision-making across customer development, supply chain, consumer marketing insights, and disrupting data silos. ​

You’re a culture & change champion: ​Be an advocate and set an example of digital culture throughout the organization.​

You love to win and have fun doing it: ​Transform the way Unilever operates with a proactive, informed risk-taking, winning attitude!​

Who You will Work with:

In this role you’ll be working closely with passionate and driven Product Management team, Architects, Engineers, Data Analysts, Internal partners and other departments. They will span various functional groups across the enterprise. You will be in contact with a wide range of great people. In all interactions, you will find success in teamwork, a positive attitude, and hard work.

What You Will Bring

• Bachelor’s Degree in Computer Science, Information Systems, Business or related field or equivalent combination of education and experience

• 7+ years proven experience in large-scale software development

• 4+ years of people management or team lead experience with experience identifying, hiring, and nurturing/mentoring engineering talent

• 5+ years CPG/Retail Experience with understanding of associated KPIs and general metrics of customer success criteria.

Experience working with data sources such as Retailer POS systems, IRI, Nielsen, Panel data such as Numerator and Nielsen/IRI Panel. Proven ability to recognize value in incremental data sets for the business and can lead the acquisition of this data

• Retail data experience – working with Walmart, Target, Amazon, Dollar General, Kroger, etc.

• Understand the concepts of ML/AI, LLMs

• Ability to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk

• Experience building positive relationships across teams and roles: business partners, product, engineering, architecture, and platforms, and driving adoption and change-management of new tools or capabilities

• Ability to lead, influence and communicate effectively, both verbally and written, across teams and roles

• Solid foundation in data structures, algorithms, and architecture patterns

• Ability to analyze large and complex data sets with proven experience in delivering recommendations to senior stakeholders

• Experience participating in key business, architectural and technical decisions

• Ability to identify and resolve both people and process related issues

• Experience in Agile/Scrum application development

• Familiarity with the principles of Domain Driven Design

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The following skills and experience are also relevant to our overall environment, and nice to have:

• Experience programming in Python, SQL, and similar languages to produce data and analytical models

• Experience working in a public cloud environment, particularly Microsoft Azure

• Experience building RESTful API’s to enable data consumption

• Experience in developing Power BI dashboards using DAX, Power Automate flows, Web Applications

• Experience with practices like Continuous Development, Continuous Integration and Automated Testing

​ Pay: The pay range for this position is $135,600 to $203,300. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.

Bonus: This position is bonus eligible.

Long-Term Incentive (LTI): This position is LTI eligible.

Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.