Document Controller

East Didsbury
3 weeks ago
Create job alert

Kenna Recruitment has a new exciting opportunity for an experienced Document Controller to join one of the UK's Leading Residential Developers in their new region in Manchester.

Overview:

A key member of the project team, you will be responsible for the management and maintenance of all project related information and documentation, the structure and maintenance of the project common data environment (CDE), the project WIP environment and other Information Management systems where applicable.

As the sole Document Controller for this region,you will act as the central point of contact in all matters in relation to the project information management process including providing training, support, and ongoing communication with all members of the project team.

Key Respsonsbilities:

  • Admin and Office management duties

  • Dealing with contractors and suppliers

  • Data entry, research and analysis, reporting

  • Review and maintain the accuracy of the records, editing where necessary to ensure they are up to date

  • Liaising with and distributing project-related information with all levels of the project team and potentially external parties

  • Manage the processes around documentation within the organisation

  • Technically minded about naming conventions

  • Managing version control

  • Managing Asite and DocHosting systems

  • Managing LABC, Premier Guarantee and Linesearch portals

  • Creating document templates

  • Converting information from project teams into user-friendly documents

  • Numbering and labelling documents for identification and reference

  • Scanning, copying, and distributing documents to project team members and stakeholders

  • Tracking documents to maintain confidentiality

  • Reviewing documents and making revisions for accuracy

  • Liaising with project team members to ensure documents meet requirements

  • Training / Mentoring employees on document systems used internally (Asite, DocHosting)

  • Generate reports and monitor data analytics to provide feedback to the project team on project performance throughout the project lifecycle

  • Ongoing monitoring and governance of the file structure of the CDE and the project shared drive, monitoring document submission performance progress, coordinating the review process and ensuring deadlines are met

    Experience/Knowledge:

  • Ideally residential background with an understanding of the industry

  • Construction site/office based experience

  • Good practical experience and application of ISO19650 and PAS 8672

  • Good level of ASITE admin/user experience

  • Experience in implementing at either project, region or group-level Information Management Strategies

    What we can offer you:

  • Salary between £35,000 - £40,000

  • Private healthcare

  • Pension scheme (5%)

  • Life assurance

  • 25 days annual leave plus bank holidays

Related Jobs

View all jobs

Engine Test Technician

Data Controller

Configuration and Product Data Management

Power BI Specialist

Information and Data Governance Lead

QA Operations Shift Specialist

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.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.