Service Data Architect

Arqiva
1 month ago
Applications closed

Related Jobs

View all jobs

Service Now CMDB Data Architect

Data Architect

NHS - Data Engineer Band 6

MLOps Engineer

Senior Data Architect

Senior Data Architect

Location: Hybrid working with occasional visit to an Arqiva office (Winchester, London, Huddersfield) as and when required

 We offer  

Salary - c£60k Bonus 10% 6% pension contribution  Private Medical  25 days annual leave Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance  Work. Life. Smarter. Our commitment to a flexible and hybrid working culture 


Role Purpose:

The Service Data Architect is a specialist role accountable for service data modelling techniques in ServiceNow CMDB. This role requires in depth knowledge of Arqiva Product lines and industries.

 Key Accountabilities:

Accountable for providing consultancy to Service Architects and Solution Architects in developing Service Blueprints Custodian of templated ServiceNow CMDB blueprinting Responsible for providing leadership in data modelling, providing coaching and training to Configuration Management team and others involved in CMDB updates Accountable for translating designs to logical representations in ServiceNow Accountable for eliciting service data information from Engineers, Delivery Managers and Commercial / Account Directors Accountable for documenting blueprinting methodology and data model representations 

Qualifications:

Degree in maths / engineering / IT related degree

 

Required Expertise:

Strong experience in data modelling, including converting requirements to software, and data model creation Experience in translation physical designs to logical, vice versa, and also in translating from one framework to another . requirement translated to UML framework Relevant industry experience in Telco, broadcasting, technology, cloud, networks and IT Technical consultancy role or technical / senior BA preferred Data Architect experience advantageous ServiceNow CSDM experience advantageous
 

Required Technical / Professional Skillset(s):

Effective communicator, able to engage, listen and provide feedback and guidanceExcellent organisational skills, able to prioritise multiple tasks of varying size over varied timescalesUnderstand Strategy and Business Deliverablesand convert intoserviceblueprinting to facilitate success.Outcome driven, and able to design complex service data blueprint templates and methodologies Individual Accountability: Able to take initiative, act with confidence and work under own initiativeGrowth Mindset: Committed and open to change and challenging the status quoExcellent problem-solving skillsand able to interpret complex customer requirements Experience of using ServiceNow desirable 

Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast, and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.

Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us. 

Your wellbeing…. Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work. 

Our focus for 2024 is to Win, Grow, Go Faster – find out more, contact us and apply!

Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks! 

#LI-KM1

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.