Housing Digital Systems Manager

South Croydon
2 months ago
Applications closed

Related Jobs

View all jobs

Data Researcher

Alloa Support Worker

Data Architect

Housing Officer - Hybrid

Housing Finance & Admin Officer

Housing Support Worker

Job Description: Grade 16- A full job descripiton will be provided to suitable candidates.

Here's a summary of the job description for the Housing Digital Systems Manager role at Croydon Council:

Role Purpose and Dimensions

  • Objective: Ensure the effective use and management of the Council’s NEC Housing system, supporting business processes, reporting, and decision-making.

  • Approach: Adopt a product management approach for system updates and improvements, and use user-centered and agile methods for continuous improvement.

    Key Responsibilities



System Management:

* Ensure the NEC Housing system is technically supported and used effectively.

* Align system configuration and functionality with service needs and legislative requirements.

* Capture user feedback to improve workflows and outcomes.

2.

Stakeholder Engagement:

* Act as the main contact between Housing Digital Systems and service managers.

* Influence senior stakeholders to fully exploit system capabilities.

3.

Supplier Management:

* Oversee relationships with system suppliers, ensuring alignment with development roadmaps.

* Manage technical and service contacts with NEC Housing suppliers.

4.

Roadmap and Project Management:

* Maintain a clear system roadmap, incorporating updates and improvements.

* Ensure effective delivery of system changes and projects.

5.

Performance Monitoring:

* Establish and monitor service performance targets.

* Develop a service catalogue and track key performance metrics.

6.

Compliance and Best Practices:

* Ensure data security and compliance with GDPR.

* Promote ITIL service management best practices.

Key Contacts

* External: NEC, solution suppliers, residents, professional groups, other local authorities, partner agencies, government departments, external auditors.

* Internal: Directors of services, heads of service, digital system users, CDS teams, business intelligence, procurement, finance, and audit.

Financial Dimensions

* Manage budgets related to line of business systems.

* Understand cost structures and manage revenue and capital budgets.

Person Specification

* Knowledge: Advanced knowledge of ICT systems, GDPR, ITIL framework, and national data frameworks.

* Skills: Strong relationship management, communication, team leadership, data analysis, problem-solving, and project management skills.

* Experience: Demonstrable experience in systems management, team leadership, transformation projects, and managing support teams.

Special Conditions

* Flexibility for occasional evening, night, and weekend work.

* Mobility to work from various Council offices.

This role is crucial for ensuring the effective use of digital systems within the housing department, driving improvements, and supporting the Council's digital transformation agenda.

A cover letter must be submitted with CV

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.