At a Glance
- Tasks: Lead data projects, implement governance frameworks, and optimise data solutions.
- Company: Dynamic organisation focused on innovative data management.
- Benefits: Competitive salary, career development, and opportunities for innovation.
- Other info: Join a collaborative team with excellent growth potential.
- Why this job: Make a real impact in data governance and analytics while working with cutting-edge technologies.
- Qualifications: Experience in data flows, governance, and stakeholder management required.
The predicted salary is between 39600 - 48400 £ per year.
- Portfolio Lead - Data Enablers – G7
- Manchester, Liverpool, Nottingham, Newcastle
Job Summary
The role exists to support the developments and delivery of a number of technology projects in the People Data delivery space.
Experience of technology delivery (or similar) would be advantageous but we are primary looking for a colleague with knowledge of data flows and the delivery of people analytics products.
Job Description
- Data integration design: implement the appropriate technologies to deliver resilient, scalable, and future-proofed data solutions.
- Co-ordinate the Data warehouse resource and set best practice and standards.
- Lead the formation, implementation and management of data governance frameworks, policies, and standards.
- Implement and establish wider data management competencies within the organisation (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy)
- Be responsible for understanding and managing the organisational data risks and issues, and co-ordinating with data owners to accept or resolve them.
- Design and implement continuous improvements to optimise data governance over a data life cycle.
- Work with subject matter experts across the organisation to introduce new technologies and instil best practice
- Build long-term strategic relationships and communicate clearly and regularly with stakeholders.
Essential Criteria
You will have experience of
- You must currently have an active SC Clearance
- Listening to and interpreting the needs of technical and non-technical stakeholders and manage their expectations.
- Showing an awareness of opportunities for innovation with new tools and uses of data.
- Designing data architecture by understanding and providing solutions, dealing with specific business problems, and aligning it to enterprise-wide standards and principles.
- Bringing multiple data sources together in a conformed model for analysis.
- Managing resources to ensure that data services work effectively at an enterprise level.
- Testing.
You can review requirements and specifications and define test conditions.
You can identify issues and risks associated with work.
You can analyse and report test activities and results.
- Implementing and monitoring data governance using standard methodology throughout the data life cycle, within a large organisation.
Portfolio Lead - Data employer: HMRC
At HMRC, we pride ourselves on being an excellent employer that values purpose, growth, and a sense of belonging. Our flexible and hybrid working policies, generous leave allowance, and commitment to employee development create a supportive work culture where you can thrive. Join us in Newcastle, where you'll have the opportunity to make a meaningful impact while enjoying a collaborative environment that fosters innovation in recruitment processes.
StudySmarter Expert Advice🤫
We think this is how you could land Portfolio Lead - Data
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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 HMRC.
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We think you need these skills to ace Portfolio Lead - Data
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 HMRC, 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 HMRC. 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 HMRC
✨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 HMRC!
✨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.
