At a Glance
- Tasks: Lead the design and delivery of data solutions across multiple markets.
- Company: Dynamic tech company focused on innovative data and analytics solutions.
- Benefits: Up to £80,000 salary, bonus, and outstanding benefits.
- Other info: Opportunity to work with diverse teams and grow your career in a fast-paced setting.
- Why this job: Make a real impact by improving data-driven decision-making in a collaborative environment.
- Qualifications: Proven experience in data solutions, strong Azure skills, and excellent stakeholder management.
The predicted salary is between 60750 - 74250 £ per year.
Up to £80,000 DOE + Bonus and outstanding benefits
The Role
We are looking for an experienced IT Business Solutions Manager to lead the design, delivery and evolution of data and analytics solutions across a multi-market environment.
This is a business-facing technology role requiring someone who can combine strong technical data knowledge with commercial awareness, project delivery and excellent stakeholder management.
You will work across business and IT teams to understand requirements, identify opportunities, design scalable solutions and deliver projects that improve data-driven decision-making.
Key Responsibilities
- Develop and deliver data strategies and solutions across multiple markets.
- Work closely with business stakeholders to understand requirements and translate them into effective technology solutions.
- Design and implement data solutions using modern cloud technologies.
- Assess existing data sources, platforms and processes and identify opportunities for improvement.
- Work closely with Data & Analytics, Enterprise Architecture, IT Security and other technical teams.
- Manage the delivery and evolution of analytical tools, ensuring data quality, integrity and accuracy.
- Lead projects involving system implementation, localisation, data migration and go-live.
- Support the rollout of centralised systems across multiple markets and locations.
- Manage application portfolios, including incidents, enhancements, maintenance, change requests and operational improvements.
- Manage third-party suppliers and external resources, ensuring agreed deliverables, service levels and contractual commitments are met.
- Manage project and operational budgets and identify opportunities to improve efficiency and reduce costs.
- Support major incidents and ensure business impact, priorities and communication are effectively managed.
- Ensure projects and solutions meet appropriate governance, security, architecture and data standards.
- Identify opportunities to maximise the value of existing data and introduce new data sources where they can add business value.
- Work effectively with geographically distributed and remote teams.
- Must-Have Experience
- Proven experience delivering data and analytics solutions within an IT environment.
• Strong Microsoft Azure experience, particularly with
- Databricks
- Azure Data Lake / Lakehouse
- Strong understanding of data architecture and data flows between systems and applications.
- Practical SQL experience.
- Experience with Python and/or Py Spark.
- Experience with CI/CD and Dev Ops within data or technology environments.
- Experience with Microsoft Power Platform, particularly Power BI and/or Power Apps.
- Strong understanding of data ingestion, processing, analysis, visualisation and KPI management.
- Proven ability to analyse data from multiple sources and turn it into meaningful business insight.
- Strong experience managing and delivering technology/data projects from requirements through to implementation and go-live.
- Experience working across multiple teams, functions, locations or markets.
- Strong stakeholder management skills, with the ability to communicate effectively with both technical and non-technical audiences.
- Experience managing third-party technology suppliers and external resources.
- Experience with budget and contract management.
- Strong analytical, problem-solving and troubleshooting skills.
- Experience testing and validating data or analytical solutions.
- Excellent written and spoken English.
- Stakeholder & Business Skills
You will need to be confident operating between business and technical teams, translating complex requirements and technical concepts into practical solutions.
You should be able to demonstrate
- Excellent stakeholder management and communication skills.
- The ability to influence and challenge stakeholders constructively.
- Experience managing conflicting requirements and priorities.
- Strong presentation and data storytelling skills.
- The ability to build effective relationships across geographically dispersed teams.
- Confidence working with senior business and IT stakeholders.
- A proactive, commercially aware and solutions-focused approach.
- The ability to remain calm and decisive when managing incidents or challenging projects. Strong organisational and project management skills.
- A genuine interest in using data and technology to solve business problems.
If you have strong Azure data experience, proven project delivery capability and enjoy working with a wide range of technical and business stakeholders, we would be keen to hear from you.
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IT Business Solutions Manager employer: Faith Recruitment Ltd
Join a dynamic team where your role as a Receptionist is pivotal in creating a welcoming atmosphere for clients and colleagues alike. Our company prides itself on fostering a supportive work culture that values professional growth, offering training and development opportunities to enhance your skills. Located in a vibrant area, we ensure our reception environment is not only efficient but also a pleasant space to work in, making it an excellent place for those seeking meaningful employment.
StudySmarter Expert Advice🤫
We think this is how you could land IT Business Solutions Manager
✨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 Faith Recruitment Ltd!
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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 Faith Recruitment Ltd.
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We think you need these skills to ace IT Business Solutions Manager
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 Faith Recruitment Ltd, 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 Faith Recruitment Ltd. 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 Faith Recruitment Ltd
✨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 Faith Recruitment Ltd!
✨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.
