At a Glance
- Tasks: Lead and deliver the FM Data & Reporting Transformation Programme for a world-class defence organisation.
- Company: Join a prestigious defence organisation with a focus on innovation and excellence.
- Benefits: Competitive hourly rate, hybrid working, and opportunities for long-term contracts.
- Other info: Dynamic role with excellent career growth and knowledge transfer opportunities.
- Why this job: Make a significant impact on data governance and reporting in Facilities Management.
- Qualifications: Experience in data transformation, governance, and strong Power BI skills required.
The predicted salary is between 70 - 70 £ per hour.
World Class Defence Organisation is currently looking to recruit a FM Data Transformation Lead subcontractor on an initial 12 month contract.
Rate: £70.00 per hour
Overtime Rate: Hours worked over 37 hours per week will be calculated at ‘time and a quarter'
Location: Stevenage, Bolton or Bristol (depending on your preference)
Hybrid / Remote working: The role will be a hybrid role of 1 or 2 days per week onsite and the rest working from home.
Contract: 37 Hours per week
Duration: 12 Months (initially and then ongoing and long-term thereafter)
IR35 status: Inside IR35 (Umbrella)
FM Data Transformation Lead Job Description:
To lead and deliver the FM Data & Reporting Transformation Programme, establishing a trusted, governed and sustainable data and reporting capability across Facilities Management. The role will take ownership of the transformation from validation of the current position through to data governance, standardisation, technical foundations, reporting implementation, adoption and handover. Working across all FM functions, the postholder will bring together FM reporting requirements, KPIs, data sources and existing reporting into a consistent and governed framework that enables reliable performance reporting and better decision-making. The role sits within FM and is FM-wide in scope. It will work with supporting stakeholders and technical specialists, including our maintenance provider, Information Management and Cyber Security, where required, while ownership, governance and strategic direction remain within FM.
Programme Delivery & Governance:
- Lead the end-to-end delivery of the FM Data & Reporting Transformation Programme against agreed phases, milestones and deliverables.
- Establish and maintain a clear programme plan, including milestones, dependencies, risks, decisions and progress reporting.
- Review and validate work already undertaken against the approved programme requirements, retaining and building upon outputs that meet the required standard.
- Coordinate activities across FM functions and ensure appropriate stakeholder engagement throughout delivery.
- Maintain transparent programme documentation, decisions and evidence of delivery.
- Provide regular progress updates and escalate risks, issues or decisions requiring FM leadership intervention.
FM Data Governance & Standardisation:
- Develop and implement an FM-wide data governance framework covering data ownership, stewardship, quality, controls and change management.
- Establish a consistent FM KPI library, including agreed definitions, calculation methodologies, ownership and approval routes.
- Define data quality standards and appropriate validation and reconciliation controls.
- Identify duplication, conflicting definitions and gaps across existing FM reporting.
- Establish appropriate governance for the ongoing creation, amendment and retirement of FM KPIs and reporting.
Data & Technical Foundations:
- Map FM data sources, systems, interfaces and manual dependencies.
- Define the central FM data model and requirements for the appropriate central FM data environment.
- Work with relevant technical specialists to establish integrations, automated data flows and refresh processes where appropriate.
- Coordinate ISS technical resource and other specialist support for defined delivery activities where required.
- Ensure technical solutions remain aligned to FM requirements and relevant organisational information and cyber-security controls.
- Ensure calculation logic and transformations are documented, controlled and capable of being independently understood and maintained.
Reporting & Performance Capability:
- Translate FM operational and strategic requirements into consistent reporting solutions.
- Develop and/or oversee development of prioritised FM dashboards and reporting products.
- Ensure reporting supports FM governance meetings, management decision-making and strategic performance requirements.
- Lead validation, reconciliation, UAT and stakeholder acceptance of new reporting products.
Adoption, Capability & Handover:
- Establish clear documentation, guidance and support arrangements.
- Provide structured knowledge transfer to permanent FM capability throughout the assignment.
- Establish the future BAU ownership and continuous-improvement model.
Skillset/experience required:
Essential:
- Significant experience leading data, BI or reporting transformation programmes from discovery through to implementation and handover.
- Strong practical experience of data governance, data ownership, data quality and information standards.
- Demonstrable 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, with the ability to provide technical direction as well as challenge solution design.
- Experience working with multiple data sources and identifying quality, duplication and consistency issues.
- Strong programme/workstream management capability with demonstrable ownership of milestones and deliverables.
- Experience of UAT, implementation, adoption and transition into BAU.
- Strong documentation and knowledge-transfer capability.
Desirable:
- Experience working with Facilities Management, workplace, property, asset or built-environment data.
- Experience with IWMS/CAFM platforms.
- Knowledge of Planon.
- Experience working with outsourced FM/service-provider data.
- Experience working within a regulated or security-constrained organisation.
- Experience of Microsoft data technologies and associated BI environments.
Data Transformation Lead in Manchester employer: Certain Advantage
As a leading Defence Organisation, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our employees enjoy competitive rates, flexible hybrid working arrangements, and ample opportunities for professional growth within a supportive environment. Located in Stevenage, we offer a unique chance to contribute to impactful projects while maintaining a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Transformation Lead in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Certain Advantage!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Transformation Lead at Certain Advantage.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Certain Advantage.
✨Apply Directly through Our Website
When you find a suitable opening like Data Transformation Lead at Certain Advantage, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Transformation Lead in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Certain Advantage, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Certain Advantage. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Certain Advantage
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Certain Advantage!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.