TL;DR

Managing Data Architect (AI/ML): Delivering data-driven digital transformation projects, providing data-driven solutions, and coaching junior team members. Focus on designing enterprise-wide data architectures aligned with business and technology strategies and implementing AI/ML in productionized environments.

Location: London, United Kingdom

Company

%hirify_global% is a fast-growing technology company that delivers exciting projects through data-driven, digital transformation for its customers.

What you will do

Work closely with stakeholders to understand their needs and develop scalable, high-performing data-driven solutions.
Apply data architecture design to solve complex problems and implement enterprise-wide data architectures.
Develop data strategies and governance architectures, including technology, people, and process perspectives.
Develop AI/ML solutions to deliver business value to customer organizations.
Integrate data with other systems and platforms through APIs and middleware.
Contribute to the productionisation of new data capabilities/solutions through discovery, prototyping, requirements setting, and implementation.

Requirements

Must be eligible for Security Clearance.
8+ years of data experience with 3+ years of relevant data architecture experience within the Public and/or Private sectors.
Lead and guide implementation teams and coach junior team members through strong interpersonal, verbal, and written communication skills.
Experience of designing and supporting the implementation of Data Platforms (Azure, AWS, Informatica, etc.).
Experience in end-to-end design and implementation of AI/ML in productionised environments.
Implementation knowledge of data modelling techniques such as Kimball Dimensional, Star Schema, Data Vault, and Graph Model.

Culture & Benefits

25 days’ holiday.
Private Medical Healthcare via Vitality.
Pension contribution, Life Assurance.
Professional certifications supported as part of learning and development.
Access to Employee Resource Groups to connect, learn, and support one another.