Data Principal

Who We Are:

We're on a mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we've worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology.

That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers. Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world.

About you:

You care deeply about producing high-quality work that delivers real value You're comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You're pragmatic, adaptable and outcome-focused You enjoy sharing knowledge and helping others grow You value low-ego collaboration and enjoy working as part of multidisciplinary teams To strengthen AND's position as a leader in the data industry, we are seeking a Data Principal (hands on Architect) to lead the local Data & AI Practice and expand our Data capability.

This pivotal role supporting the local club leadership requires a balance of leading on client, leading the data practice proposition in the local market and building upon our existing data skills and capability from your experience. You will be working closely with ANDs global data practice team, your practice team and local leadership to drive growth and value for our clients deepening our client partnerships.

Your Leadership & Influence:
Data Leadership:
You have a proven track record of managing and inspiring teams. You excel at navigating the complexities of enterprise-scale problem solving, turning challenges into opportunities for our clients. Stakeholder Artistry:
You are a master of client-facing delivery. You can translate complex data concepts into business value, managing multi-vendor environments with a focus on long-term partnership. Designing for People and

Purpose:

Your expertise goes beyond just building scalable architectures; you design systems with a focus on delivering value. You ensure that your extensible and scalable solutions are implemented because they consistently meet the evolving needs of both the business and its users. Your strategic mindset:
Quality Advocate:
You take personal pride in the integrity of your work. Beyond just fixing bugs, you champion quality assurance and performance tuning as a mindset, ensuring the data programs we build for our clients are robust, reliable, and respected. Industry Stewardship:
You are a lifelong learner who keeps a pulse on industry standards and best practices. Partnership Focus:
You champion relationships with technology partners, whether established or new, working collaboratively to deliver for clients. Your Technical Fluency:
You lead by example. While your primary focus is strategic, you maintain the technical depth required to guide teams through the full Data Product Lifecycle:
Technology breadth:
You bring a seasoned perspective to both modern and traditional ecosystems-with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience in Snowflake, Databricks or Fabric, managing delivery with an Agile mindset. Data Product mentality:
You understand how to build Data Products ensuring that every pipeline and dataset is discoverable, addressable, and secure by design. Data capabilities:
You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for…