Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data and Planning Manager (Asset Management)

Northenden
1 month ago
Applications closed

Related Jobs

View all jobs

Lead GIS and Geospatial Data Analyst

Data Analyst, Commercial Insights

Business Intelligence and Insights Manager

Business Intelligence and Insights Manager

Business Intelligence Engineer - 12 month FTC, Fleet planning & Capacity

Strategic Talent & Workforce Data Analyst

Data and Planning Manager (Asset Management)
Salary Up to £56,203
Location Didsbury, Manchester
Permanent, Full Time
35 hours per week
Reporting to the Head of Asset Strategy, you will lead a team responsible for data governance, quality, and analysis, alongside business planning, investment programming, systems development, and overseeing our reporting requirements. The team will lead on data collection, changes to asset data, manage data reporting requirements, and provide analysis and insight to help us understand how we can use data to improve decision making and outcomes for customers.
What you’ll be doing


  • Leading and managing Change Control processes, ensuring change requests to systems are reviewed, risk assessed, consulted on with key stakeholders, and implemented in a timely manner.

  • Lead a team in providing data analytics to inform planned investment programmes, intervention requirements, and proactive surveying regimes (including likelihood of damp and mould).

  • Set clear team performance expectations, plan and manage activities and projects, monitor and report on performance and metrics, and conduct regular performance reviews.

  • Ensure stock data is updated and maintained in relevant systems following any changes to stock or assets.

  • Co-ordinate data cleansing to ensure accuracy for effective cost forecasting within the business plan.

  • Support the development of planned investment, programmes, cyclical work and investment and sustainability projects.

  • Provide information to support service charge requirements, including Section 20 consultation processes, and ensuring Leaseholders are informed of future planned works.

  • Collate data for internal and external reporting requirements, including RSH returns, Decency Standards, and KPI/OPI reporting to meet strategical needs.

  • Contribute to the development and update of the 30-year business plan.

  • Implement policies, service standards and processes that meet the evolving needs of the business.

  • Maintain up-to-date knowledge of relevant regulations.

  • Continuously improve service delivery based on customer and stakeholder insight.

  • Produce property reports highlighting any issues affecting the sustainability of stock, including for divestment and acquisition decisions.

  • Working both collaboratively and independently, using initiative to provide solutions to emerging issues in partnership with internal and external stakeholders.

What you’ll need


  • Degree educated (desirable); relevant property or construction related professional qualification.

  • Considerable experience of using asset management systems and sustainability assessment.

  • High standard of IT literacy/ use of full range of Microsoft Office.

  • Undertake training as appropriate to the post and to keep abreast of developments across the housing profession.

  • Experience of social housing legislation and regulatory standards relevant to social housing asset management.

  • Excellent organisational skills and the ability to complete tasks in an accurate and timely manner when working under pressure.

  • Strong customer focus.

  • Full driving licence and own vehicle.

What we need from you
Highly organised, reliable, and target-driven, with excellent time management and the ability to work independently or as part of a team.
A commitment to understand the challenges and opportunities that exist in the communities in which we work. We particularly value lived experience in social housing
A passion to advocate on behalf of people and communities
Respecting professional boundaries and conducting yourself in a professional manner at all times.
A commitment to work in partnership with others for the benefit of Great Places
A commitment to continuous learning and improvement
Ability to work flexibly and when needed outside normal working hours to ensure service continuity
An ability to work in uncertainty
To be professional and work with integrity, inclusivity, and respect for diversity
What we give you in return for your hard work and commitment
Pension ¦ DC scheme (up to 10% contribution from both colleagues and Great Places)
WPA ¦ Healthcare auto enrolled at no contribution level with £1250 of savings available - option to increase & add family members
Annual leave ¦ Start at 26 days annual leave, increasing up to 30 days within 5 years + Bank Holidays
Reward & Recognition ¦ You Count Rewards are individual reward’s for going ‘above & beyond’
Professional Fees ¦ The business pays the cost of one professional membership fee for each colleague
The Market Place ¦high street, restaurant & supermarket discounts, gym memberships, cycle to work, smart tech loans and much more
Ways of Working¦ We offer some hybrid and flexible working
Health and Wellbeing Initiatives ¦ Our colleagues enjoy wellbeing campaigns throughout the year, with activities designed around our four pillars of wellbeing, these include career wellbeing, mental wellbeing, physical wellbeing and financial wellbeing

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.