Data Manager in Manchester

Data Manager in Manchester

Manchester Full-Time 65226 - 65226 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead a team to enhance data quality and governance while developing predictive analytics.
  • Company: One Manchester, dedicated to creating thriving communities and homes.
  • Benefits: Generous annual leave, flexible working, excellent pension, and professional development support.
  • Other info: Inclusive culture with opportunities for career growth and personal development.
  • Why this job: Make a real impact on communities through trusted data management and innovative analytics.
  • Qualifications: Strong SQL skills, experience in data governance, and leadership in technical teams.

The predicted salary is between 65226 - 65226 £ per year.

About us

At One Manchester, we’re building places people are proud to call home. We own and manage over 12,000 homes across central, south and east Manchester — but we’re more than just a landlord. We provide services, support and opportunities that help people and communities thrive. Everything we do is shaped by our HEART values, our customers and our commitment to creating positive change across our city. We believe safe, affordable homes are the foundation for better lives, and we work together to deliver services that make a meaningful impact every day. We’re continuing to evolve and improve how we work, making this an exciting time to join One Manchester.

About the role

We have an exciting opportunity for a Data Manager to join our team! You’ll lead a team of a BI Developer, Senior Data Analyst and 2x Data Analysts, helping to shape a culture where data is trusted, understood and used effectively. You'll drive improvements in data quality and governance, ensuring our data is consistent, robust and fit for purpose. You’ll provide technical leadership and ensure we have robust, well-managed datasets that provide a trusted foundation for reporting, insight and the wider use of data across the organisation. You’ll also play a key role in developing our predictive analytics and AI capabilities, helping us identify emerging risks, anticipate demand and better understand our customers.

What you’ll be doing

  • Leading One Manchester's data management, governance and quality improvement programmes.
  • Managing and developing a team of data professionals, setting priorities and supporting high performance.
  • Establishing and embedding data standards, ownership, stewardship and controls across the organisation.
  • Driving data quality monitoring, remediation and continuous improvement activity.
  • Leading the development of predictive analytics, AI and sentiment modelling to support proactive decision-making and service planning.
  • Providing assurance that organisational data is robust, compliant and fit for operational, regulatory and strategic use.
  • Working closely with senior leaders, managers, IT colleagues and system owners to improve data management practices and resolve data issues at source.
  • Ensuring effective controls, auditability and governance over production data and technical data solutions.
  • Support the Assistant Director in managing budgets, priorities and resources across the IIP function.

What we’re looking for

We’re after someone who has:

  • Strong SQL skills and experience working with large, complex datasets.
  • Experience leading and developing technical teams.
  • A track record of delivering improvements in data quality, governance and data maturity.
  • Experience using predictive analytics, forecasting or AI tools to support proactive business decision-making.
  • Strong stakeholder management skills, with the ability to influence and challenge constructively at all levels.
  • Excellent analytical and problem-solving abilities, with the confidence to communicate complex information clearly.
  • Knowledge of data governance, information management, data protection and security principles.

Desirable

  • Experience within social housing, local government or another regulated environment.
  • Knowledge of housing-related data domains.
  • Experience with Power BI, Python, workflow automation or cloud-based data platforms.
  • Familiarity with recognised data management frameworks such as DAMA-DMBOK.
  • Experience of Data Strategy development and delivery.

Why join us?

We know that great services start with great people. That’s why we’re committed to creating a workplace where colleagues feel supported, valued and able to grow. Alongside meaningful work and opportunities to develop, you’ll also benefit from:

  • 27 days’ annual leave when you join us, rising to 30 days after three years’ service, plus UK bank holidays.
  • The option to buy or sell annual leave through our holiday scheme.
  • A genuine approach to agile and flexible working, dependent on the role.
  • An excellent pension scheme with an 11.4% employer contribution through the Smart SHPS DC salary sacrifice scheme.
  • Supportive people policies that help you balance work and life.
  • Medicash healthcare cash plan membership, with Level 1 cover paid by us.
  • A 24/7 Employee Assistance Programme.
  • Perkbox, our benefits platform giving you access to hundreds of discounts, benefits and wellbeing resources.
  • A Cycle to Work scheme through Halfords.
  • Access to Manchester Credit Union for affordable financial support, including loans, savings accounts and money guidance.
  • Support to gain professional qualifications, with paid memberships fees for relevant professional bodies.

Equality, diversity and inclusion

We’re committed to creating a diverse and inclusive organisation where everyone feels valued, respected and able to be themselves. We welcome applications for employment from eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. As part of our commitment to improving representation, we operate the Rooney Rule and aim to interview at least one ethnically diverse candidate for all roles, and at least one female candidate for roles within our Trades and Facilities teams where women are currently underrepresented. We’re also committed to supporting flexible and agile working where possible. If you require flexibility or adjusted working arrangements (including part time hours), we encourage you to speak to us as part of the recruitment process and we can let you know if it can be considered for this particular role.

Data Manager in Manchester employer: One Manchester

At One Manchester, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work culture that prioritises employee growth and well-being. With competitive benefits such as 27 days of annual leave, a generous pension scheme, and opportunities for professional development, we empower our team to thrive while making a meaningful impact in the communities we serve. Join us in Manchester, where your contributions will help shape vibrant, sustainable places for people to call home.

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Contact Details:

One Manchester Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Manager in Manchester

✨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 One Manchester!

✨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 Manager at One Manchester.

✨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 One Manchester.

✨Apply Directly through Our Website

When you find a suitable opening like Data Manager at One Manchester, 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 Manager in Manchester

SQL
Data Quality Improvement
Data Governance
Predictive Analytics
AI Tools
Stakeholder Management
Analytical Skills

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 One Manchester, 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 One Manchester. 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 One Manchester

✨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 One Manchester!

✨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.