Senior Data and AI Architecture and Platform Lead

Senior Data and AI Architecture and Platform Lead

Do you want to work to make Power for Good?

We're the world's largest independent renewable energy company. We're guided by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.

We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.

RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.

Our competitive package offers a wide range of benefits and rewards.

Job Summary

Are you ready to shape the future of data-driven decision-making across one of the World's leading renewable energy businesses? At RES we are driving transformation through the power of data and insights - and we're looking for a visionary Data Architect to lead the way.

In this pivotal role, you will be responsible for designing and delivering a scalable, secure, and future-ready data and analytics platform that will serve as the single source of truth for our enterprise. Your mission: to empower teams across the business with reliable, real-time insights that drive smarter, faster, and more impactful decisions.

You’ll sit within our Data & Analytics function, collaborating with technology and business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation  you’re passionate about cloud data platforms, enterprise data architecture, and making data accessible and actionable - we want to hear from you.

Key accountabilities include but are not limited to:

• Own the target-state data architecture and platform technical direction for the Azure data and AI platform and analytics ecosystem. Ensure the platform is secure, governed, cost-effective, and designed for scalable data products, BI and AI/ML.
• Lead data and AI architecture and platform decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform.
• Lead the azure data and AI platform and architecture team and external vendors to deliver work to high standards.
• Set data and AI platform architectural standards and guardrails, design and lead security and privacy including legislation and regulative standards and integration across IT.
• Own integration data and AI architecture and source onboarding patterns.
• Lead data and AI platform strategy and roadmap and technical debt remediation, drive tooling and implementations.
• Coach the IT team, central and regional data and AI architects, engineers and analytics engineers on best practices and provide global standards and guardrails. Partner with AI/ML stakeholders to ensure platform supports needs.
• Ensure data and AI is managed effectively and made available to services in the right way. Influence organisational strategy through robust evidence and insight.

The successful candidate will need to demonstrate:

• Deep and significant skills in global data and AI architecture, data engineering, data platforms and analytics leadership roles.
• TOGAF certification (preferred) or demonstrable experience in enterprise data and AI architecture.
• Strong cloud platform data and AI architecture and platform capability, skills and qualifications.
• Deep understanding of AI and semantic and dimensional modelling patterns and how they fit into enterprise architecture.
• AI/ML platform requirements.
• Effective communicator with strong influencing, negotiating, and relationship building skills. Ability to articulate architecture and data platforms to executives. Ability to translate complex data into meaningful insight for non-technical audiences.
• Able to work independently, manage competing priorities, and lead through…