At a Glance
- Tasks: Support clients in digital transformation and data governance to enhance business performance.
- Company: AtkinsRéalis, a leading engineering services and nuclear organisation.
- Benefits: Competitive salary, flexible working, tailored benefits, and professional development opportunities.
- Other info: Inclusive culture with a commitment to continuous learning and career growth.
- Why this job: Join a team that drives impactful change through innovative information management solutions.
- Qualifications: Experience in Information Management and BIM standards; strong collaboration skills.
The predicted salary is between 56700 - 69300 £ per year.
Love solutions that make our world a better place? Our Digital, Data & AI Advisory team synthesises knowledge and information from across AtkinsRéalis and uses it to guide strategies and roadmaps that achieve the outcomes our clients need. We work alongside organisations to create trusted information foundations that enable digital transformation, advanced analytics, AI adoption and improved business performance across infrastructure, energy and the built environment.
Information Management is increasingly critical to ensuring that clients can trust the insights they derive from their data and do so efficiently. It also underpins effective project delivery, better decision-making, improved reuse of knowledge and the development of future digital services and products.
We are seeking an experienced Senior Information & Data Management Consultant who can combine practical Information Management and BIM delivery expertise with strategic advisory skills. The role will suit someone who can engage clients, shape information and data strategies, improve ways of working and help teams realise measurable value from digital transformation.
Your role
- You will support the delivery of Information Management, data governance and digital transformation services across projects and programmes.
- Working with experienced consultants, technical specialists, clients and delivery teams, you will help implement standards, processes and digital solutions that improve information quality, governance, collaboration and business outcomes.
- You will contribute to practical advisory outputs, support the consistent management and reuse of information and data assets, and help prepare trusted information foundations for analytics, automation, digital twins, AI and future digital services.
- You will also contribute to the continued development of the Digital, Data & AI Advisory team through reusable guidance, templates and lessons learned.
- Supporting clients and project teams in the application of Information Management and BIM standards, including BS EN ISO 19650, AtkinsRéalis procedures and digital delivery best practice.
- Assisting with the development and implementation of Information Management strategies, delivery plans, governance frameworks, reporting arrangements and Common Data Environment (CDE) approaches.
- Contributing to client workshops, discovery activities, maturity assessments and stakeholder engagement to understand business needs, challenges and opportunities for improvement.
- Helping clients improve information governance, data quality, metadata, taxonomy and information architecture to maximise the value of information and data assets.
- Supporting the identification, structuring and management of information and data assets that enable analytics, automation, digital twins, AI and other digital transformation initiatives.
- Monitoring Information Management performance, compliance, risks, issues and benefits, preparing reports and recommendations that support effective project delivery.
- Working collaboratively with multidisciplinary digital, data and technology teams to deliver integrated solutions and support wider transformation objectives.
- Developing and maintaining reusable templates, guidance, lessons learned and awareness materials that improve consistency and capability across projects and programmes.
- Supporting client presentations, proposals and work-winning activities by contributing technical knowledge, project experience and practical delivery insights.
- Continuously developing your knowledge and expertise across Information Management, data governance, BIM, digital transformation, data and AI, while contributing to a positive learning and knowledge-sharing culture.
About you
- Has experience supporting clients and project teams in applying Information Management and BIM standards, including BS EN ISO 19650, AtkinsRéalis procedures and relevant digital delivery methods.
- Can assist with the development and maintenance of Information Management strategies, delivery plans, responsibility matrices, reporting arrangements and Common Data Environment approaches.
- Can contribute to client workshops, discovery activities and maturity assessments to understand business needs, current practices, challenges and opportunities for improvement.
- Can help establish practical approaches to information governance, metadata, taxonomy, information architecture and data quality that improve the value and usability of information assets.
- Can support the identification, structuring and governance of information and data assets for analytics, automation, digital twins and AI use cases.
- Can monitor Information Management progress, compliance, risks, issues and benefits, and prepare clear reports and recommendations for project stakeholders.
- Can work collaboratively with multidisciplinary digital, data and technology teams to support integrated solutions and wider digital transformation outcomes.
- Can contribute to reusable methods, templates, guidance, lessons learned and awareness materials that improve delivery consistency and team capability.
- Can support proposals, client presentations and work-winning activities by providing relevant delivery experience and technical input where appropriate.
- Is committed to developing their professional capability through coaching, knowledge sharing and continuous learning across Information Management, data governance, digital, data and AI disciplines.
Rewards & benefits
Explore the rewards and benefits that help you thrive – at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.
About AtkinsRéalis
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.
Additional information
This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer.
We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
Information Management Consultant in London employer: Snc-Lavalin
AtkinsRéalis is an exceptional employer, offering a dynamic work environment that prioritises collaboration and flexibility. With a strong focus on employee growth, particularly in the defence, security, and government sectors, team members can expect meaningful career advancement while contributing to impactful digital solutions in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Information Management Consultant in London
✨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 Snc-Lavalin!
✨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 Information Management Consultant at Snc-Lavalin.
✨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 Snc-Lavalin.
✨Apply Directly through Our Website
When you find a suitable opening like Information Management Consultant at Snc-Lavalin, 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 Information Management Consultant in London
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 Snc-Lavalin, 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 Snc-Lavalin. 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 Snc-Lavalin
✨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 Snc-Lavalin!
✨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.
