At a Glance
- Tasks: Lead data and analytics projects in a modern cloud environment.
- Company: Dynamic company based in Southampton or Nottingham, focused on data innovation.
- Benefits: Competitive salary, bonus, car allowance, enhanced annual leave, and medical cover.
- Other info: Great opportunity for career growth in a fast-paced setting.
- Why this job: Join a collaborative team and drive impactful data initiatives.
- Qualifications: 2+ years in data project delivery and Agile environments.
The predicted salary is between 60000 - 70000 £ per year.
- Role Requirements
- Must be able to commute near to Southampton OR Nottingham a few times per month
- Must be UK Citizen or hold Indefinite Leave to Remain (ILR) status
- Base Salary - £60,000-£70,000 + 17% Bonus + Car Allowance + Enhanced AL + Medical Cover + More
The Role
- We're looking for an experienced
- Data
Delivery Manager to lead the successful delivery of data and analytics initiatives across a modern, cloud-based data environment.
You'll work closely with business stakeholders, product owners and technical teams to ensure high-quality data products and services are delivered on time, within budget and aligned to business priorities.
This is an excellent opportunity for someone who thrives in Agile environments and enjoys driving collaboration across cross-functional teams.
Key Responsibilities
- Delivery Management
- Lead the end-to-end delivery of multiple data and analytics projects.
- Manage delivery plans, timelines, budgets and resource allocation.
- Work closely with business stakeholders to define project scope, priorities and delivery objectives.
- Monitor project progress, proactively identifying and mitigating delivery risks.
- Manage dependencies across multiple teams to ensure successful project outcomes.
- Adapt delivery plans where priorities or requirements change.
- Provide regular reporting and updates to stakeholders on project progress, risks and capacity.
- Track delivery metrics to improve planning, forecasting and overall delivery performance.
- Balance planned work with changing business priorities and unplanned requests.
- Agile Delivery
- Champion Agile ways of working and continuous improvement.
- Facilitate Agile ceremonies including sprint planning, stand-ups, retrospectives and reviews.
- Work with Product Owners and technical teams to refine and prioritise delivery backlogs.
- Foster a collaborative, transparent and delivery-focused culture.
- Quality & Governance
- Ensure appropriate governance and delivery standards are maintained throughout the project lifecycle.
- Support testing activities including functional, regression, user acceptance, performance and end-to-end testing.
- Ensure projects comply with relevant security, governance and data protection standards.
- Maintain delivery documentation, reporting and project governance.
- Technical Knowledge
You'll have a good understanding of modern data platforms and cloud technologies, including:
- High-level understanding of data platform architecture and integration.
- Experience working alongside technical teams and solution architects.
• Familiarity with cloud-based data technologies such as
- Databricks
- Azure Data Factory
- Power BI
- Understanding of data warehousing and data modelling concepts.
- Awareness of data governance, security and compliance principles.
Skills & Attributes
You'll be someone who
- Takes ownership and drives delivery outcomes.
- Builds strong relationships with both technical and business stakeholders.
- Communicates confidently with audiences at all levels.
- Is organised, proactive and able to manage multiple priorities.
- Leads with a collaborative approach while holding teams accountable.
- Remains calm under pressure and adapts well to changing priorities.
- Thinks critically, solves problems and continuously looks for ways to improve delivery.
Experience Required
Essential
- 2+ years' experience delivering data, analytics or technology projects.
- Proven experience managing projects within Agile delivery environments.
- Experience delivering medium to large-scale projects or multiple concurrent initiatives.
- Strong stakeholder management and communication skills.
- Experience working across cross-functional teams in a matrix organisation.
- Knowledge of both Agile and Waterfall delivery methodologies.
Desirable
- Experience delivering projects within Azure or other cloud data platforms.
• Delivery or project management certification, such as
- PRINCE2 Foundation
- Scrum Certification
- APM Project Fundamentals Qualification (PFQ)
- PMI CAPM or Agile Fundamentals
Data Delivery Manager in Southampton employer: Eden Smith Group
Join a dynamic and purpose-driven sustainability consultancy in Reading, UK, where your expertise will directly impact the Net Zero programmes of diverse clients, from SMEs to global corporates. With a strong emphasis on employee growth, you will benefit from a collaborative work culture that encourages innovation and offers fast progression opportunities, all while working in a hybrid environment that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Manager in Southampton
✨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 Eden Smith Group!
✨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 Delivery Manager at Eden Smith Group.
✨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 Eden Smith Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Delivery Manager at Eden Smith Group, 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 Delivery Manager in Southampton
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 Eden Smith Group, 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 Eden Smith Group. 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 Eden Smith Group
✨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 Eden Smith Group!
✨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.
