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