Become part of the Converse Team
Converse is a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after — bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?
WHO YOU’LL WORK WITH
We are looking for a Senior Manager, Data Engineering, this role typically reports to a Director of Data Engineering within Global Converse Technology (ITC). You will partner with teammates across Engineering, Product & Platform Teams to ensure that the ecosystem of data meets the needs of the business.
WHO WE ARE LOOKING FOR
We are seeking a Senior Manager, Data Engineering, to be part of a mission critical team within Global Converse in the ITC. You will lead a cross-functional data engineering team/squad to deliver the scalable, reliable, and secure data foundations that power analytics, intelligence, machine learning, and operational decision‑making at Converse. The ideal candidate is a technology leader with strong architectural instincts, a passion for data as a product, and a proven ability to translate business strategy into resilient data platforms that deliver value at scale.
Required Skills:
Bachelor’s degree in computer science, Engineering, or equivalent experience
12+ years of experience in data engineering, data platform development, or analytics engineering
4+ years of experience leading and scaling high performing technical teams
Proven success designing and operating data platforms at enterprise scale
Deep knowledge of data architecture patterns, batch and streaming pipelines, and data modelling
Strong understanding of data governance, quality, lineage, and operational best practices
Experience enabling analytics and machine learning through robust, well‑designed data foundations
Hands‑on experience with modern cloud data technologies such as Databricks, Snowflake, etc.
Experience working within large organizations or scaled Agile delivery models
Exceptional communication and stakeholder engagement skills
Ability to translate complex technical concepts into clear, actionable guidance for diverse audiences
WHAT YOU’LL WORK ON
Responsibilities:
Leading, mentoring, and managing a cross‑functional team of data engineers responsible for building and operating scalable data platforms, pipelines, and services aligned to multi‑year roadmaps
Defining and executing the Data Engineering strategy in support of analytics, intelligence, machine learning, and operational use cases
Owning the design and implementation of modern data architectures
Ensuring data pipelines are reliable, performant, secure, and observable through strong engineering standards and operational excellence
Championing data quality, lineage, governance, and metadata practices that enable trust and self‑service consumption
Collaborating with platform, security, and engineering partners to ensure compliant and scalable solutions
Familiar with Databricks, Snowflake and other database foundational tools
Curiosity on how to utilize AI/ML to accelerate work
Demonstrated ability to set technical direction, drive trade-offs, and deliver outcomes with cross-functional partners
Excellent people leadership, communication, and stakeholder management; ability to recruit and develop top talent
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
