Portfolio Executive

Billingsgate
3 weeks ago
Applications closed

Related Jobs

View all jobs

Sirio Sales Operations Director

Digital Transformation Manager

Director of Data Science

Strategic Finance Analyst

Senior Clinical Information Scientist

DeFi Program Manager

Job Title: Portfolio Executive – Solar & Storage

Location: London (Hybrid working available)

Company Overview

A leading investment and asset management firm is seeking a Portfolio Executive – Solar & Storage to join its renewable energy division. With a strong focus on solar and battery storage, the company manages a diverse portfolio of renewable energy assets across multiple locations. The organisation is committed to sustainability, innovation, and long-term value creation, working to optimise energy infrastructure for a low-carbon future.

About the Team

The Solar and Storage team is a dynamic group of asset management experts, investment specialists, and technical professionals dedicated to maximising the performance and growth of solar and storage assets. With a collaborative and forward-thinking approach, the team operates across multiple locations, fostering innovation and best practices in renewable energy.

Role Overview

The Portfolio Executive – Solar & Storage will play a key role in managing portfolio performance, property relationships, and operations support across commercial and residential rooftop solar assets. Reporting to the Rooftop Portfolio Lead, the successful candidate will lead performance analysis, contractor management, and optimisation projects, while also handling property-related matters and administrative coordination.

Key Responsibilities

Portfolio Performance:

Oversight of KPI variance analysis and reporting.

Identify performance issues through KPI analysis and resolve incidents with contractors or third parties.

Manage and assess O&M contractors on contractual services and optimisation projects.

Ensure site-specific preventative maintenance is carried out and verify completion of corrective works.

Property Relationships:

Act as the main point of contact for contractors and solicitors on property-related matters (rights, amendments, legal access).

Manage property cases, coordinating with contractors or appointed legal representatives.

Establish and maintain Power of Attorneys to streamline property paperwork.

Oversee residential access issue resolution and provide quarterly updates on progress.

Maintain accurate records and documentation for external stakeholders.

Operations Support:

Onboard new acquisitions into internal systems and asset management processes.

Support regulatory, health & safety, and environmental compliance initiatives.

Assist in project management of improvement and optimisation strategies for solar and storage sites.

Liaise with contractors to retrieve key ESG data.

Contribute to the development of management systems and reporting efficiencies.

Additional Responsibilities:

Support digitalisation initiatives to improve business processes.

Maintain and update asset registers and assist with data migration.

Occasionally travel to visit sites, contractors, and stakeholders.

Represent the company at industry events, conferences, and workshops.

Education, Experience, and Skills

Essential:

Strong organisational and coordination skills.

Excellent communication and interpersonal abilities.

Proficiency in digital tools and systems.

Ability to work independently and collaboratively.

Desirable:

Basic knowledge of electrical or renewable energy systems.

Experience working with rooftop solar PV systems in asset management, operations, or renewable energy roles.

Examples of Projects

Solar Plant Optimisation – Implementing advanced monitoring systems to enhance efficiency and output.

Digitalisation Initiatives – Using AI and machine learning for predictive maintenance.

Regulatory Compliance Projects – Ensuring health, safety, and environmental standards are met through audits and updates.

Working Arrangements

Hybrid working policy – minimum of 3 days in the office per week.

Diversity and Inclusion

The company is committed to creating an inclusive culture that values diversity and equal opportunity. Candidates from all backgrounds are encouraged to apply.

Reasonable Adjustments

Reasonable adjustments can be made at any stage of the recruitment process

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.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.