Senior Manager Data Engineering, Global Converse, ITC

Who Youll 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

• Bachelors 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 YOULL WORK ON

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• 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