Overview
Senior Data Engineering Manager with expertise in modern data architectures, complex transformations, and large-scale re-platforming. Reporting to the Director of Platform, AI & Data, you will combine technical leadership with the ability to design and deliver scalable, high-performance data solutions using contemporary cloud and data stack technologies. You will be hands-on, participate in technical design and architecture reviews, and lead distributed teams across the UK and India. This is a hybrid role working in the office 2 days a week.
Responsibilities
* Personally contribute to the design and development of critical data pipelines and platform components where complexity or strategic importance demands direct technical input.
* Balance centralised governance with distributed ownership (Data Mesh principles).
* Define and track success metrics such as platform adoption, data quality, and stakeholder sentiment.
* Champion AI-driven productivity practices to enhance engineering and data efficiency and automation and lead implementation of ML Ops practices to support scalable machine learning operations.
* Build and lead top performing, inclusive engineering teams across UK and India. Support career development and mentoring within the team.
* Directly manage individual contributors and foster engineering and data excellence.
* Champion a culture of treating Data as a Product, embedding standards and accountability across domains.
* Embed best-in-class data tooling and practices (Snowflake, Snowplow, Orchestra) and optimise data pipelines for reliability and performance.
* Collaborate with internal platform teams to build internal developer platforms tailored for product engineering teams.
* Implement opportunities for data asset reuse and capability sharing across the organisation.
* Partner with vendors and internal stakeholders to evolve the data ecosystem.
* Work with Product, Analytics, Marketing, and Servicing teams to ensure data capabilities meet our needs.
* Build excellent relationships across ECS and Experian to promote data sharing and collaboration. Be a trusted advisor on data strategy and platform evolution.
* Recent hands-on experience with AWS data services (Glue, Redshift, SageMaker) or modern data stack tools (Snowplow, Snowflake, Orchestra, dbt, Fivetran or equivalents).
* Expertise leading large-scale data platform transformations.
* Experience scaling and managing distributed teams across geographies.
* Recent hands-on experience building and optimising data pipelines and platforms, not limited to oversight or governance.
About Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. Experian is a FTSE 100 Index company listed on the London Stock Exchange (EXPN). Learn more at experianplc.com.
Benefits
* Hybrid working - 40% office based
* Great compensation and discretionary bonus
* Core benefits include pension, Bupa healthcare, Sharesave scheme and more
* 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.
Equality, Diversity and Inclusion
Experian is an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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