At a Glance
- Tasks: Lead data management and insight to drive positive change in social work.
- Company: Join Social Work England, a specialist regulator focused on improving lives.
- Benefits: Enjoy hybrid working, generous leave, and a supportive culture.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Expertise in data management and strong leadership skills required.
The predicted salary is between 63526 - 65924 £ per year.
The Role
Social Work England are the specialist regulator for social work in England, focused on enabling positive change in social work.
Every day, social workers support millions of people to improve their chances in life.
We are taking a new approach to regulating social workers in their vital roles.
We believe in the power of collaboration and share a common goal with those we regulate – to protect the public, enable positive change and ultimately improve people’s lives.
The head of data management & insight leads Social Work England’s data insight, data management and data engineering capabilities as part of an integrated DDa T function.
The role ensures data is securely managed, well-governed, and effectively engineered, and that high quality insight and analytics are available to support our regulation, organisational performance and decision making.
Working closely with senior leaders and stakeholders across the organisation, the role translates organisational and regulatory needs into a clear data strategy, overseeing the development of data platforms, analysis and reporting.
It ensures data is treated as a strategic asset underpinned by robust governance.
With a focus on delivering value and building data maturity, the role sets clear data priorities, develops insight and delivers a wide range of reporting including self-service dashboards.
It puts strong data management and engineering foundations in place so that people across and beyond the organisation can make better decisions.
What you will do
- Provide leadership and set clear direction for data management, data engineering, performance reporting and insight, ensuring high-quality delivery and continuous improvement across the full data lifecycle.
Maintain and enhance own professional knowledge and awareness of best practice through participating in relevant learning and networks.
- Develop and deliver a strategy and forward plan for data management and insight, coordinating the delivery of priorities including data governance, data literacy, performancereportingand analysis.
- Provide strong, visible and inclusive leadership to the data and insight function, setting clear objectives and expectations while building a high performing, engaged and resilient team.
Drive a culture of continuous learning by identifying and addressing capability gaps and supporting ongoing professional development.
- Lead the development of high-quality management information, insight and analysis, embedding best practice and consistent methodologies that ensure strong validation, clear documentation and quality assurance.
Ensure the delivery of accurate and consistent performance reporting that supports organisational confidence and strategic decision making.
- Provide strategic leadership for the development and ongoing management of data platforms, pipelines and data infrastructure, ensuring scalable, secure and resilient data management and engineering solutions with clear ownership, architecture standards and long-term sustainability.
- Establish and maintain robust data governance, ensuring data is managed as a strategic organisational asset and complies with legal and regulatory requirements.
- Work collaboratively with finance, people and development and operational teams to develop andmaintain forecasting models, performance and efficiency metrics which support organisational planning, budget-setting and resource decisions.
- Promote the further development of self-service reporting and data literacy across the organisation to foster a data driven culture, enhancing organisational capability to use data and insight effectively.
- Provide strategic leadership and expertise for data related change across core systems and digital platforms, ensuring data capabilities are aligned with organisational priorities and deliver long term value.
- Act as data workstream lead for our DDa T improvement programme, coordinating and delivering priority projects to make Social Work England a more digitally mature, service-oriented regulator.
- Collaborate effectively as a member of the wider directorate and organisational leadership team, prioritising what is most important for the organisation as a whole and role modelling our values and leadership behaviours.
- Maintain and strengthen Social Work England’s analytical capability, drawing upon external expertise and professional development where relevant.
Collaborate effectively with our internal research team and operational teams to identify and deliver priority pieces of analytical and evaluation work.
- Your Skills, Knowledge And Experience
- Significant expertise and experience in data management, data governance and data quality, including the design and implementation of data standards and controls.
- Ability to combine strong technical and analytical expertise with the ability to set direction and embed effective use of data across an organisation.
- Extensive experienceof delivering performance reporting, management information and statistical analysis at a senior level in a complex organisation.
- Strong leadership and people management experience, including accountability for line management, performance management, capability development and wellbeing within multidisciplinary teams.
- Knowledge and experience of data architecture, including the design and development of organisational data models, data platforms, and quality/technical standards that support analytics, insight and secure data use.
- A demonstrable commitment to inclusion and diversity, championing equitable and ethical use of data, addressing bias in insight and reporting, and fostering an inclusive, high performing team culture.
- Strong technical experience of using data tools and software (e. g.
Power BI, SQL, Excel) with a sound understanding of how to work across a wider data and analytics technology stack.
- Experience of building effective relationships and influencing at all levels including senior management and board members.
- Excellent communication, interpersonal and influencing skills, with the ability to explain complex data and technical concepts and insights clearly credibly orally and in writing.
- The Benefits
- In addition to your salary, we also offer
- Hybrid working
- 25 days annual leave, rising with service to 30 days per annum, plus bank holidays.
- The option to purchase up to an additional 5 days of annual leave per annum.
- A TIDE award-winning inclusive culture, with staff networks, social events and forums.
- A contributory NEST pension, life insurance, an employee recognition scheme and cycle to work scheme.
- Details
- Job type: Permanent
- Working pattern: Full time. We offer flexible working subject to business need.
- Salary:£63,526 per year rising to £65,924 per year after successful completion of a 6-month probationary period.
- Location: Sheffield/Hybrid
About Us
- Join us - Social Work England
- Our behaviours and values - Social Work England
- What our people say - Social Work England
- Pre-Employment Checks
If you are successful at interview, we will carry out a series of routine pre-employment checks.
These include verifying your references, confirming your right to work in the UK, and completing a Basic DBS (Disclosure and Barring Service) check.
These checks are conducted in partnership with our third-party provider, Amiqus, who will guide you through the process.
Please note that all offers of employment are subject to the satisfactory completion of these checks.
If you have any questions or concerns please contact our recruitment team via recruitment@socialworkengland. org. uk and our team will be happy to help.
#J-18808-Ljbffr
Head of Data Management and Insight in Sheffield employer: Social Work England
Social Work England is an excellent employer, offering a supportive and inclusive work culture in the heart of Sheffield. Employees benefit from flexible working patterns, generous annual leave, and a robust pension scheme, all while contributing to the vital mission of maintaining a high standard of service for social workers and the public. With a focus on professional development, this role provides meaningful opportunities for growth within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Management and Insight in Sheffield
✨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 Social Work England!
✨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 Head of Data Management and Insight at Social Work England.
✨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 Social Work England.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Management and Insight at Social Work England, 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 Head of Data Management and Insight in Sheffield
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 Social Work England, 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 Social Work England. 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 Social Work England
✨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 Social Work England!
✨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.