At a Glance
- Tasks: Lead asset data governance and ensure compliance with industry standards.
- Company: Join ISS, a world-leading workplace and facility management company.
- Benefits: Exciting career opportunities, inclusive culture, and commitment to personal development.
- Other info: Diverse and inclusive workplace with growth potential.
- Why this job: Make a real impact on asset management and drive data integrity.
- Qualifications: Experience in asset data and strong knowledge of classification systems required.
The predicted salary is between 45000 - 55000 £ per year.
This is a high-impact, specialist role where you’ll lead on ensuring asset data is structured, governed, and aligned to industry frameworks (ISO, BIM, Golden Thread) - enabling compliance, audit readiness, and long-term asset lifecycle management. You’ll act as the subject matter expert for classification and taxonomy, working across engineering, FM, digital and compliance teams to embed best practice and drive data integrity at scale.
Key Responsibilities
- Own and govern asset classification standards and taxonomy across CAFM, CMMS and BIM environments
- Ensure alignment to ISO 55001, ISO 19650, Uniclass 2015 and Golden Thread principles
- Lead classification change control, ensuring all updates are risk-assessed, approved, and fully auditable
- Drive data consistency across systems, ensuring interoperability between asset registers, surveys and digital models
- Identify and resolve data quality issues, including duplication, misclassification, and structural inconsistencies
- Develop and maintain data standards, templates, dictionaries, and validation rules
- Support audit, compliance, and assurance activities, ensuring asset data is always audit-ready
- Provide insight and reporting on data quality, risks, and performance
- Act as a technical authority, guiding stakeholders on classification standards and best practice
Professional and Personal Competencies/Qualifications
- Strong experience in asset data, BIM, or information management environments
- Deep knowledge of classification systems (e.g. Uniclass 2015)
- Proven expertise in data governance frameworks (ISO 55001, ISO 19650, Golden Thread)
- Experience working across CAFM, CMMS, EAM or BIM platforms
- Ability to manage and improve complex, structured datasets
- Strong stakeholder engagement - able to influence across technical and operational teams
- Analytical, methodical, and highly detail-driven mindset
The Company ISS is a world-leading workplace and facility management company, connecting people and places to make the world work better. Working with customers day by day, side by side, we understand every aspect of the user experience. Through a unique combination of intelligent solutions, high standards and people who care, to help our customers achieve their purpose, whether it’s hospitals healing patients, businesses producing the next great innovation, or airports bringing passengers home to their families.
ISS is committed to doing business the right way, taking its corporate responsibility very seriously. Our passion is people. We offer you a challenging and exciting career in an organisation with people at its heart. In ISS, everyone has the opportunity to develop, grow and make a difference.
ISS is proud to be a diverse and inclusive employer. ISS welcomes all applicants regardless of age, disability, gender identity or gender reassignment, marital or civil partnership status, pregnancy or maternity, race (which includes race, colour, nationality, ethnic or national origin and caste), religion or belief, sex, sexual orientation or educational background. We are proud to be a Gold Employer Recognition Scheme (ERS) award holder and a signatory of the Armed Forces Covenant, recognising our commitment to supporting veterans, reservists, and military families. Through our Joint Forces Programme, we provide mentoring and support to members of the Armed Forces community and their spouses as they transition into civilian careers. We are a Disability Confident Committed (Level 2) employer, proudly supporting and promoting inclusive hiring practices in line with the UK government’s Disability Confident scheme. Our passion for inclusivity and diversity makes ISS a more creative, productive and happy place to work.
Asset Classification Specialist employer: ISS
At ISS, we pride ourselves on being a world-leading workplace and facility management company that values people at its core. As an Asset Classification Specialist, you will thrive in a dynamic environment that fosters professional growth and inclusivity, with opportunities to influence best practices across diverse teams. Our commitment to corporate responsibility and support for veterans and individuals with disabilities makes ISS not just a job, but a meaningful career where you can truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Classification Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your expertise! Prepare to discuss your knowledge of asset classification standards and data governance frameworks during interviews. Bring examples of how you've tackled data quality issues in the past to really impress.
✨Tip Number 3
Tailor your approach! When applying through our website, make sure to highlight your experience with ISO standards and classification systems. Customising your application can make all the difference in standing out from the crowd.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you fresh in the interviewer's mind. Mention something specific from your conversation to show your genuine interest in the role and the company.
We think you need these skills to ace Asset Classification Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Asset Classification Specialist. Highlight your experience with asset data, classification systems, and any relevant frameworks like ISO 55001 or Uniclass 2015. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about asset management and how your background makes you the perfect fit for our team. Don’t forget to mention your experience in driving data integrity and working across different teams.
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your expertise in data governance and classification. We love numbers and results, so if you’ve improved data quality or streamlined processes, let us know!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at ISS
✨Know Your Standards
Familiarise yourself with the key classification standards and frameworks mentioned in the job description, like ISO 55001 and Uniclass 2015. Being able to discuss these in detail will show that you’re not just a candidate, but a potential expert who understands the importance of data governance.
✨Showcase Your Experience
Prepare specific examples from your past roles where you've successfully managed asset data or improved data quality. Highlight any experience with CAFM, CMMS, or BIM platforms, as this will demonstrate your hands-on knowledge and ability to drive data integrity.
✨Engage Stakeholders
Think about how you’ve influenced stakeholders in previous positions. Be ready to share strategies you’ve used to engage technical and operational teams, as strong stakeholder engagement is crucial for this role. This will illustrate your collaborative approach and ability to lead change.
✨Be Detail-Driven
Prepare to discuss how you ensure accuracy and consistency in complex datasets. Share methods you’ve employed to identify and resolve data quality issues, as this will reflect your analytical mindset and attention to detail, which are essential for success in this position.
