Business Information Architect

AVEVA
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Senior Software Engineer - Fixed Income & Derivatives

Senior Data Architect

Lead IT Architect - Platinion - Salesforce/CRM

Data Architect

Principal Data Architect

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.

We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.

If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at

Position:Business Information Architect

Location:London | Cambridge

Employment type:Full-time regular

Benefits:Competitive package with an attractive bonus plan, regionally specific benefits ranging from above the norm paid vacation, contributions to retirement investment plans or pensions, insurances and a many other memberships and perks designed to enhance the workplace experience, your health, and wellbeing. 

We are looking for a Business Information Architect to manage change within our business and information architecture.

The business information architect is responsible for designing, creating, and managing change within AVEVA’s business and information architectures. This role is critical in maintaining a solid foundation for business transformation within AVEVA, ensuring that data about the organisation is organised, understood, and available for analysis to ensure alignment with business objectives. The business information architect assesses business opportunities and pain points and manages the definition and roadmap of initiatives required to achieve the strategy.

Responsibilities:

Interprets and delivers impactful strategic plans to improve business integration and transformation by addressing capability, process and information quality issues whilst supporting business initiatives and roadmaps. Documents, analyses and identifies strategically relevant changes to the business and information architectures of AVEVA. Works as a catalyst between parties to bring insights into business needs to technical and non-technical audiences. Defines and implements the long-term technology strategy and innovations roadmaps across business capabilities, processes and information models. Establishes the AVEVA centre of process excellence and advises colleagues on process improvement and management. Translates high-level business requirements into recommendations for initiatives using business capability to value stream mapping and organisational pain modelling. Manages senior business stakeholders to secure strong engagement and ensures that the delivery of projects aligns with longer-term strategic roadmaps. Identifies opportunities for simplifiying the existing business and information architectures, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company. Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums. Defines and manages standards, guidelines, and processes to ensure data quality. Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions. Evaluates and recommends emerging technologies, frameworks and methodologies for process modelling and management, machine learning, AI and advanced analytics.

Skills and qualifications:

At least five years of relevant experience in a blend of business or information architecture, business analysis, process architecture and/or solution design for enterprise initiatives involving strategic change. Experience leading projects involving business capability modelling, enterprise data modelling and/or process architecture implementation. Experience with business architecture techniques such as business capability heat mapping, strategic analysis/motivation modelling, initiative mapping, process architecture. Experience of process architecture and knowledge of one or more process improvement methodologies Experience with information architecture techniques such as party role model, master data management and business intelligence. Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture. Ability to assess traditional and modern data architecture components based on business needs. Ability to identify business opportunities to adopt new technology to solve business problems, especially in the ML/AI realm. Strong analytical and problem-solving skills Ability to synthesise and clearly communicate large volumes of complex information to senior management of various technical understandings. Ability to collaborate and excel in complex, cross-functional teams involving enterprise business and information architects, data analysts, business analysts, and stakeholders. Ability to guide solution design and architecture to meet business needs.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.