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 decisionmaking 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, welldesigned data foundations
- Handson 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
Responsibilities
WHAT YOU'LL WORK ON
- Leading, mentoring, and managing a crossfunctional team of data engineers responsible for building and operating scalable data platforms, pipelines, and services aligned to multiyear 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 selfservice 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
