Senior Data and AI Architect and Platform Lead
Description
Do you want to work to make Power for Good?
We're the world's largest independent renewable energy company, 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 and professional growth of our people, no matter what stage of their careers 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.
Role
Are you ready to shape the data and AI architecture at one of the world's leading renewable energy businesses? At RES we are looking for a Senior Data and AI Architect and Platform Lead to set the architecture of our new Microsoft Fabric and Azure platform, and to build the AI that runs on it: agents and AI services that answer from our governed data and put analytics into the hands of the business.
Reporting to the Head of Data and Analytics, you will own the strategic design of a new Microsoft Fabric and Azure platform that integrates data and AI at enterprise scale. You will set the architecture, establish standards and patterns, and lead adoption across the data and analytics function, working with senior business executives and global IT leaders. This is a technical leadership role with accountability for how the organization builds and operates data and AI capabilities.
Key Responsibilities
- Own strategic direction for the data and AI platform: target-state architecture, governance models, security standards, and scalability decisions that align with business strategy.
- Establish the interface between data and AI: design how governed data is modelled and exposed so AI agents can access it reliably; sets the standards and builds to them.
- Lead the design and build of production AI agents and services; set evaluation frameworks, testing standards, and monitoring that establish when an AI product is fit for use.
- Set technical standards and patterns for the team, train and develop staff in the delivery of agentic AI solutions for data. Provide technical authority in Python, SQL, software engineering, code development and LLMs to the data and analytics team; build and review production code to maintain engineering standards.
- Build and own platform tools, technologies and patterns that enable the team to deliver at scale and efficiently. Identify, evaluate and implement emerging technologies, tools and techniques; bring new capabilities into the team, growing and evolving our global platform and data and AI products.
- Establish and lead cost management discipline for the platform; design architecture that maintains efficiency as usage grows. Ensure best practice is embedded throughout the platform and lead work with vendors and external reviews.
- Partner with Cyber Security to lead safe delivery of work end to end throughout the platform, including with end users.
- Influence senior IT and business leadership: present strategic options, advise on technical priorities, and guide decisions on platform, software engineering and AI investments.
Required Experience
- Demonstrated track record designing and building enterprise data and AI platforms at scale that are used across an organisation to create large scale value and deliver efficiencies.
- Strategic and operational experience setting architecture standards, reference designs, and technical direction in data and AI domains.
- Deep hands-on engineering in Python, SQL, APIs, software engineering and LLMs; demonstrated ability to establish patterns and train and develop others as an SME.
- Production experience managing data and AI platforms, architectures and engineering at scale.
- Proven ability to work with enterprise data platforms, understand and lead data governance, data quality, security and privacy with the data and AI governance Lead.
- Hands-on experience with Azure data and AI tooling (Azure AI Foundry, Azure Machine Learning, Microsoft Fabric); or equivalent on another platform.
- Experience leading the run/BAU for a data and AI platform, managing incidents, triage, SLA's and response and ensuring stability and high uptime.
- Demonstrated ability to communicate complex technical decisions and priorities to senior executives and business leaders.
- Strong judgment and a track record in where AI should and should not be used.
- Bachelor's degree in computer science, engineering, data, analytics, or equivalent senior hands-on experience.
- Able to articulate and present to senior business executives and technology leaders and run your own workshops and steering groups.
Why RES?
- A genuinely global remit: you will set the architecture and build the AI for a data platform used across a worldwide renewable energy business.
- Work at the intersection where data and AI meet. Your architecture and the agents you build decides what the business can use and drives business outcomes across the globe.
- A modern, cloud-first stack — Azure, Fabric, Purview, MCP servers and investment.
- A collaborative, growing data function with real scope to shape how analytics and AI evolves.
- Join a brand new, agile, global data and analytics team at the heart of AI, innovation, Next Gen technology and driving innovation for competitive advantage for RES.
- Agentic AI leadership in data and analytics, setting how RES builds agents on its own platform.
- The data is built by specialists alongside you. You are here to build what runs on top of it.
Competitive salary, benefits, and commitment to your professional development.
At RES, we celebrate differences as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
The world's largest independent renewable energy company
40 years
of experience
4500
employees
28GW
project portfolio
43GW
operational assets supported
WIND
SOLAR
ENERGY
STORAGE
TRANSMISSION
& DISTRIBUTION
GREEN HYDROGEN
