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
