Job Category: Value Delivery Consultant

Value Delivery Consultant Bioresources Systems

 

The Challenge

UK water companies face mounting pressure to transform bioresources operations; tightening permits, Net Zero targets, rising sludge volumes, and £multi-billion AMP8 investments that must deliver circular economy outcomes and energy self-sufficiency, all while keeping bills affordable. In this role you will join a BMA team helping utilities turn waste streams into energy, nutrients, and revenue.

 

Overview

• As a Value Delivery Consultant at BMA, you will play a pivotal role in advancing our Decisio™ platform.
• Your primary focus will be on leveraging your expertise in planning and data science skills, to optimise the performance, resilience, and sustainability of water or energy systems for our clients. 
• You will be part of a larger team that provides analytics services to a wide range of customers in numerous different industry verticals.

 

Your Impact

As a Value Delivery Consultant at BMA, you will work at the heart of the UK's Bioresources sector transformation. You will model end-to-end bioresource value chains: transport, treatment, resource recovery, energy generation, and disposal, driving circular economy breakthroughs and turning waste into revenue-generating assets. You will translate complex regulatory and operational requirements into data-driven scenarios that balance environmental compliance, affordability, resilience, and net-zero goals for UK water companies and other stakeholders.

You will play a pivotal role in advancing our Decisio™ platform to empower clients with superior decisions today and tomorrow. Your expertise in bioresources planning and Data Science will optimise sludge treatment, energy recovery, and biosolids management across operational, tactical, and strategic planning horizons. While your initial focus will be on bioresources, you will have access to broader opportunities across raw water, potable systems, bioresources, and energy infrastructure clients.

 

Responsibilities

The role will require you to be part of a growing company that has a wide-ranging customer base spread across numerous industry verticals in the water, wastewater, bioresources & energy utility sectors, amongst others. 

• Drive customer and stakeholder satisfaction through proactive understanding of client business requirements, translating them into modelling solutions. This role is primarily customer-facing.
• Lead and attend workshop sessions with business stakeholders from time to time to determine business requirements for end-use cases to be deployed.
• Inform clients' strategic  Bioresources Management Plans and Long-Term Delivery Strategies, ensuring alignment with regulatory requirements (e.g., Biosolids Assurance Scheme, Environmental Permitting) and industry best practices using the Decisio™ platform.
• Collaborate closely with cross-functional teams to support systems planning, offering guidance on efficiency optimisation, energy production enhancement, and resilience planning during critical asset unavailability.
• Learn the core technologies used by BMA and become familiar with the BMA’s proprietary Decision Intelligence software platform, Decisio™, initially working with the Bioresource Systems Digital Business Twin to build full digital representations of clients’ bioresource systems and operations.
• Gather, transform, and validate data to design. As well make use of available technologies to build and validate solution behaviour.
• Conduct comprehensive scenario analysis and network design optimisation to enhance system performance, efficiency, and resilience, considering various operational constraints, environmental factors, and the strategic ambitions of the client.
• Understand existing mathematical models and develop additional logic to meet both internal and clients’ requirements.
• Participate in all aspects of system development, testing, deployment, and feedback with the overarching objective to further enhance and develop Decisio™ for the benefit of the Company and its customers (this could require interaction with other company employees geographically situated around the world).

Essential Criteria

• Bachelor's Degree, or higher, in Process Engineering, Environmental Engineering, Chemical Engineering, Bioresources/Waste Management, Data Science, Statistical/Decision Sciences, or STEM equivalent.
• Proficiency in advanced analytics and Data Science: statistical analysis, forecasting, predictive modelling, and optimisation algorithms.
• Strong Microsoft Excel skills, plus familiarity with MS SQL Server, Python, R, linear programming, and optimisation technologies.
• Track record of driving innovation, delivering tangible results, and thriving in fast-paced environments.
• Exceptional communication: translating complex technical concepts for non-technical stakeholders.
• Experience collaborating across cross-functional teams.

Advantageous

• Hands-on experience with sludge treatment processes, anaerobic digestion, biosolids recycling, sludge transport logistics, and production planning within bioresources operations.
• Deep knowledge of bioresources regulatory requirements (e.g., Environmental Permitting, Biosolids Assurance Scheme, Sludge Use in Agriculture Regulations) and industry best practices.
• Proven scenario analysis, optimisation modelling, and investment planning – balancing technical, economic, and environmental factors.
• AI/ML experience: machine learning models, neural networks, or AI-driven decision systems for infrastructure optimisation.
• AI platform familiarity: working with AI-powered planning tools, digital twin platforms, or decision intelligence systems.

Personal Characteristics

• Passion for leveraging technology and quantitative analysis for real-world environmental benefits.
• Commitment to tech-driven sustainability in bioresources and the wider water sector.
• Strong critical and creative thinking with ambition to drive meaningful change.
• Pragmatic, goal-oriented, self-motivated, and continuous learner.
• Energised by flexible workloads and direct client interaction.