Job Description

Assoc. Director of Data Engineering - Technology

Who is Gen II?

Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best-in-class combination of people, process, and technology. Gen II has more than $1 trillion in private fund capital assets under administration and recently acquired Crestbridge to expand operations in the UK and Europe.

With 13 offices and more than 1,700 employees in the U.S., Canada, the UK, and Europe, we're looking for do-ers, problem-solvers, and entrepreneurs like you who want to make an impact in our industry, grow with us, and create a community where everyone thrives.

Careers mean more at Gen II - more opportunity, more innovation, and more ideas! You'll have the opportunity to grow in ways that are meaningful to you and work alongside some of the best people in their field. You'll also receive training which will advance your skill set, both technically and personally allowing you to achieve your career aspirations with us. Be part of our community that recognizes achievements, promotes from within, and receive meaningful benefits which focus on your physical, mental and financial well-being.

www.gen2fund.com

What's the role?

We are seeking an experienced Assoc. Director of Data Engineering to lead our data engineering function and play a key role in our data strategy. You will be responsible for both the strategic direction of our data platform and the day-to-day management of the data engineering team, developing robust data infrastructure that integrates our core systems, establishes master data management, and enables advanced analytics capabilities. This role requires a deep understanding of fund administration data and the ability to translate business needs into effective data solutions.

What you'll be doing

Develop and execute the strategic roadmap for our data platform, aligning with broader business objectives and technology strategy
Lead the design and implementation of data architecture, including data warehousing, ETL/ELT processes, and master data management solutions

Manage a team of data engineers and BI specialists, providing technical leadership, mentorship, and career development

Oversee the development and maintenance of data pipelines, data models, and data integration processes using technologies such as Snowflake, dbt, and Fivetran

Drive the adoption of best practices for data engineering, including data governance, data quality, and data security

Collaborate with business stakeholders to understand data requirements and translate them into technical solutions

Identify opportunities for operational efficiencies and automation through data integration and advanced analytics

Lead initiatives to establish golden records and master data management across the organization

Explore and implement AI/ML capabilities that leverage our data assets to enhance products and services

Partner with other technology leaders to ensure alignment between data platform capabilities and enterprise architecture

Balance strategic initiatives with operational support, ensuring reliable performance of data systems

Stay current with emerging technologies and industry trends in data engineering and analytics

The ideal background for this role:

Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred Minimum of 8 years of experience in data engineering, with at least 5 years in a senior or leadership role Strong technical expertise in data warehousing, ETL/ELT processes, and data modelling Hands-on experience with modern data stack technologies including Snowflake, dbt, and Fivetran Experience with business intelligence tools such as Power BI and Qlik Demonstrated ability to design and implement large-scale data architectures Experience leading and managing technical teams, with a focus on mentorship and talent development Deep understanding of fund administration processes and associated data structures Knowledge of data governance, data quality management, and data security principles Experience implementing master data management solutions Familiarity with AI/ML concepts and their application in financial services Strong project management skills with ability to balance strategic initiatives and operational support Excellent communication skills, with the ability to articulate complex technical concepts to business stakeholders Strong problem-solving abilities and analytical thinking Experience in financial services, particularly in fund administration, is essential Ability to work independently as well as collaboratively across the organization Excellent communication skills in English

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e Location/Hybrid Schedule



This role will be based in our Southampton office, with up to four days on-site per week required. Although the nature of most of the roles within Gen II cannot be classed as totally flexible, there is scope in some cases for a form of Agile Working. The different ways in which Agile Working can be undertaken is dependent on the demands and needs of the business, the office space available and the individual's preferences and circumstances.