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SP Electricity North West

Asset Analytics Manager

Preston
Posted about 21 hours ago
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SP Electricity North West

SP Electricity North West manages and invests in the power network that supplies electricity to the 2.4 million homes and businesses across the North West. Our 2,400 colleagues manage the 13,000km of overhead lines, 44,000km of underground cables, and thousands of electricity substations to keep power flowing and supporting green growth. We’re one of six distribution network operators in the UK and are regulated by Ofgem.

We’re proud that in December 2024 we were named Utility of the Year by Utility Week magazine, who said we punched above our weight and used innovation to solve some of the industry’s most difficult challenges. Come and be part of our team and make a difference.

Now part of the Iberdrola and ScottishPower group, we’re collectively building smarter, greener electricity networks that will get Britain growing by investing in a better future, quicker.

A Fantastic Opportunity: Asset Analytics Manager

The Asset Analytics Manager is responsible for the development and delivery of strategy to utilise and exploit data science and mathematical modelling techniques across the entire SP ENW operation.

The Asset Analytics Manager acts as an internal Subject Matter Expert, leading and advising on the use and management of asset-related data within the business and influencing the architecture and direction of major information system development projects.

What you'll be doing:

  • Lead and develop the Asset Analytics Team, fostering a collaborative, inclusive, and high-performing culture.
  • Drive the development and continuous improvement of asset analytics, risk modelling, data processes, and tools to support investment decision-making and optimise the capital programme.
  • Oversee the delivery of asset risk modelling and regulatory reporting, including Network Asset Resilience Measures (NARMs) and Information Gathering Plan (IGP) requirements.
  • Develop innovative approaches to capital programme optimisation, balancing investment priorities and identifying opportunities to maximise value across the network.
  • Champion the use of data science, analytics, and mathematical modelling to improve business performance and support strategic decision-making.
  • Ensure asset data and information remain accurate, reliable, and fit for reporting, analysis, and planning purposes.
  • Work closely with stakeholders across the business to develop asset management strategies, policies, and long-term plans aligned to organisational objectives.
  • Represent Asset Management within digital transformation and innovation programmes, providing specialist technical expertise and analytical insight.
  • Build strong relationships with industry bodies, regulators, and external stakeholders, helping to shape future asset management and regulatory practices.
  • Ensure health, safety, and wellbeing considerations are embedded in asset management decision-making and team activities.
  • Act as the organisation's lead subject matter expert for asset analytics, risk modelling, and data science.
  • Coach, mentor, and support team members to develop their skills, achieve their goals, and realise their potential.
  • Create an environment that encourages collaboration, accountability, innovation, and continuous improvement.
  • Empower and motivate colleagues through clear communication, inclusive leadership, and recognition of success.
  • Lead the team through change, promoting engagement, adaptability, and a positive approach to new opportunities.

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What you'll need:

  • Proven ability to lead, influence, and improve business processes that deliver successful outcomes and support organisational goals.
  • Strong knowledge of electricity distribution networks, including operational technology, telecommunications, and data systems.
  • Experience working with complex datasets, database structures, and data analytics, including geospatial and network-related data.
  • Good understanding of asset management principles and how they support investment planning and decision-making.
  • Experience applying data science, statistical analysis, operational research, Artificial Intelligence (AI), and Machine Learning techniques to solve business challenges.
  • Knowledge of the energy sector and regulatory environment, with an understanding of how regulated businesses operate.
  • Excellent stakeholder management skills, with the ability to build strong relationships, influence decisions, and communicate effectively with both technical and non-technical audiences.
  • A collaborative approach, with the ability to work across teams and engage with internal and external stakeholders to understand needs and deliver effective solutions.

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What we're offering:

We value your expertise. In return, you’ll receive:

  • An annual bonus scheme
  • Car allowance
  • Twenty-five days annual leave plus bank holidays
  • Private healthcare
  • An employee rewards portal offering discounts on several well-known brands
  • A market-leading contributory pension scheme
  • Employee assistance programme and opportunity for professional development through our L&D function.

At Electricity North West, our people are important to us, and we’re passionate about creating a great place to work where we can all be ourselves, reach our full potential, and build long-lasting careers. We’re striving to increase diversity of thought and talent in our people and to recruit a highly skilled workforce that’s representative of the communities we serve.

Should you require any additional support with your application, or any adjustments, please contact our Recruitment team at careers@enwl.co.uk or on 0845 366 0092 (option 2).

Any offer made will remain conditional until pre-employment checks are complete to a level deemed satisfactory by Electricity North West. Due to the nature of this role, the following pre-employment checks will be required; references from previous employers, Disclosure and Barring Service (DBS), and a Drug & Alcohol test.

We reserve the right to close this vacancy early.

We don't accept speculative CVs from agencies. Any received, we will assert ownership of the candidate, and no fee will be payable.

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Skills

Data Science
Mathematical Modelling
Asset Management
Risk Modelling
Stakeholder Management
Artificial Intelligence
Machine Learning
Statistical Analysis
Operational Research
Geospatial Data Analysis
Regulatory Reporting
Leadership
Electricity Distribution Networks
Capital Programme Optimisation
Database Structures
Digital Transformation

Location

Preston, England, United Kingdom

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