At a Glance
- Tasks: Lead a transformative FM data and reporting programme, ensuring effective delivery and governance.
- Company: Join a major organisation focused on innovative facilities management solutions.
- Benefits: Competitive hourly rate, hybrid working, and potential for contract extension.
- Other info: Opportunity for career growth in a collaborative and supportive team.
- Why this job: Make a real impact by shaping data strategies in a dynamic environment.
- Qualifications: Experience in data transformation, FM operations, and strong stakeholder management skills.
Location: Stevenage, Bristol or Bolton
Contract: 12 months, with potential for extension
Rate: £60 to £70 per hour Umbrella
Working Pattern: Hybrid, minimum 1 to 2 days per week on site, remainder remote
Security Clearance: BPSS to start, with SC clearance required. UK Eyes Only restrictions apply
Travel: Minimal UK travel between sites
Contract Type: Inside IR35
The Opportunity
We are currently supporting a major organisation with the appointment of an FM Data Transformation Lead to take ownership of a significant Facilities Management data and reporting transformation programme. The successful candidate will lead the transformation from the current state assessment and validation stage through to implementation, adoption and handover into Business as Usual. The objective is to establish a trusted, governed and sustainable FM data and reporting capability, bringing together existing reporting, KPIs and data sources into a consistent framework that enables reliable performance reporting and better decision-making. This is a role for someone who can operate between FM operations, data, BI and programme delivery. You will need to understand how to turn complex operational requirements into practical data and reporting solutions, while having the confidence to challenge existing processes and establish consistent standards.
Key Responsibilities
- Data Transformation & Programme Delivery
- Lead the end-to-end delivery of the FM Data & Reporting Transformation Programme.
- Develop and maintain the programme plan, including milestones, dependencies, risks, decisions and deliverables.
- Review and validate existing work and determine what can be retained, developed or replaced.
- Coordinate delivery across multiple FM functions and stakeholder groups.
- Provide regular progress reporting to FM leadership.
- Identify and escalate risks, issues and decisions requiring senior intervention.
- Maintain clear programme documentation and evidence of delivery.
- FM Data Governance & Standardisation
- Develop and implement an FM-wide data governance framework.
- Establish clear data ownership, stewardship, quality controls and change management processes.
- Create a consistent FM KPI library with agreed definitions, calculation methodologies and ownership.
- Identify duplication, inconsistent definitions and gaps within existing FM reporting.
- Establish processes for the creation, amendment and retirement of FM KPIs and reports.
- Introduce appropriate data validation and reconciliation controls.
- Data & Technical Foundations
- Map FM data sources, systems, interfaces and manual processes.
- Define the central FM data model and associated requirements.
- Work with technical specialists to establish appropriate integrations, automated data flows and refresh processes.
- Coordinate technical resources and specialist support where required.
- Ensure solutions align with FM requirements and relevant information management and cyber security controls.
- Ensure data calculations, transformations and logic are documented and maintainable.
Essential Experience
We are looking for an experienced FM, Data, BI or Reporting Transformation professional with demonstrable experience delivering complex data and reporting change. You should have:
- Significant experience leading data, BI or reporting transformation programmes from discovery through to implementation and handover.
- Strong experience within Facilities Management, Estates, Property, Workplace or a closely related environment.
- Strong practical understanding of data governance, data ownership and data quality.
- Experience developing KPI frameworks and establishing consistent definitions and calculation methodologies.
- Strong understanding of data modelling, data integration and reporting architecture.
- Strong Power BI and BI/reporting knowledge.
- Experience working with multiple data sources and identifying duplication, inconsistencies and data quality issues.
- Experience translating operational requirements into practical data and reporting solutions.
- Strong programme or workstream management experience.
- Experience managing milestones, dependencies, risks and deliverables.
- Strong stakeholder management and workshop facilitation skills.
- Confidence challenging requirements and escalating decisions where appropriate.
- Experience with UAT, implementation, user adoption and transition into BAU.
- Strong documentation and knowledge-transfer skills.
- Ability to work autonomously and take full ownership of delivery.
Desirable Experience
The following would be advantageous:
- Previous experience within Facilities Management or workplace environments.
- Experience working with CAFM or IWMS platforms.
- Knowledge of Planon.
- Experience working with outsourced FM or service-provider data.
- Experience working with asset, maintenance, property or estates data.
- Experience within a regulated, highly governed or security-conscious organisation.
- Experience with Microsoft data technologies and associated BI environments.
Security Requirements
The successful candidate will require:
- BPSS clearance to commence
- Ability to obtain and maintain SC security clearance
- UK Eyes Only
Facilities Management Data lead in London employer: Meritus
Meritus is an exceptional employer, offering a dynamic work culture that prioritises collaboration and innovation in the heart of Bristol. With a strong commitment to employee growth, we provide ample opportunities for professional development and a hybrid working model that promotes work-life balance. Join us to be part of a forward-thinking team where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Facilities Management Data lead in London
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We think you need these skills to ace Facilities Management Data lead in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Meritus, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Meritus, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Meritus’s attention and show the tangible impact of your work.
How to prepare for a job interview at Meritus
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Meritus.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Meritus.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Meritus.
