UK

United Kingdom · Sustainability · Mid-Level (2-5 years)

ESG Performance Manager

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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As an ESG Performance Manager, a good place to start on Prompt Engineering & LLM Integration for ESG is Using and Checking AI Tools in Daily Work, a free Future Fluency module at Level 3. You'd practise using everyday AI tools on real tasks from your own week, and checking what they produce before you use it.

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  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior ESG Performance Manager
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as ESG Reporting Specialist · Sustainability Data Analyst · Environmental Data Coordinator · Corporate Responsibility Analyst

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

ABBE Level 4 Diploma in Non Domestic Green Deal Advice Awarding Body for the Built Environment · Level 4 · covers 2 of 10 standards
ABBE Level 3 Diploma in Domestic Green Deal Advice Awarding Body for the Built Environment · Level 3 · covers 2 of 10 standards
NCFE Level 4 Diploma: Data Analyst NCFE · Level 4 · covers 1 of 10 standards
EAL Level 4 NVQ Extended Diploma in Engineering Manufacture Excellence, Achievement & Learning Limited · Level 4 · covers 1 of 10 standards
EAL Level 4 NVQ Diploma in Engineering Manufacture Excellence, Achievement & Learning Limited · Level 4 · covers 1 of 10 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Prepare and issue non-domestic Green Deal Advice Reports ABBE Level 4 Diploma in Non Domestic Green Deal Advice
Prepare and issue domestic Green Deal Advice Reports ABBE Level 3 Diploma in Domestic Green Deal Advice
Data Management NCFE Level 4 Diploma: Data Analyst
Data Management Software Skills AIM Qualifications Entry 3 Diploma in Skills for Working in Business, Administration and Customer Service Industries
Manage the environmental impact of work activities EAL Level 4 NVQ Extended Diploma in Engineering Manufacture

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Sustainability Fluency building care for people and planet into the work
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for ESG Performance Manager

5 units that map to this job, from the qualifications that cover it.

  1. Prepare and issue non-domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 10 standards Level 4
  2. Prepare and issue domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 10 standards Level 3
  3. Data Management NCFE · covers 1 of 10 standards Level 4
  4. Data Management Software Skills AIM Qualifications · covers 1 of 10 standards Entry Level
  5. Manage the environmental impact of work activities Excellence, Achievement & Learning Limited · covers 1 of 10 standards Level 4
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as an ESG Performance Manager?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Prompt Engineering & LLM Integration for ESG
  • Advanced Data Visualisation Storytelling
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your ESG Performance Manager plan as you set up, starting with the free AI Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

An ESG Performance Manager checks that ESG data is accurate, well documented and ready for reporting. The work means getting into the detail of the numbers, making sure everything holds up and is properly recorded.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

ESG Data Platforms (e.g., Workiva, OneTrust, Sphera) Intermediate

You'll be configuring data collection templates, building custom dashboards to track progress, managing user permissions for data entry, and troubleshooting minor integration issues. You're not just a user; you're a power user.

BI & Analytics Tools (e.g., Power BI, Tableau) Intermediate

Connecting to various data sources (like SQL databases or Excel files), building complex, multi-page dashboards to visualise ESG performance, and using DAX or calculated fields to create new metrics for analysis.

Spreadsheets (e.g., Microsoft Excel, Google Sheets) Advanced

Mastering Power Query for Extract, Transform, Load (ETL) operations, building complex carbon or financial models, using Solver for scenario analysis, and potentially writing simple VBA macros for automation. You're an Excel wizard.

Collaboration & Project Management (e.g., MS Teams, Asana) Intermediate

Managing the annual reporting project plan, setting up automation rules for task reminders, and designing SharePoint sites or Teams channels for efficient evidence collection and team communication. You keep things organised.

Data Querying (e.g., SQL) Basic

Writing basic `SELECT...FROM...WHERE` queries to pull specific data from corporate data warehouses, like operational energy data or HR demographics. You can get the raw data you need.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Data Collection Methodology Changes Propose changes to supervisor, execute only after approval. Propose and outline impact to Senior Manager, implement after review and approval. Can make minor adjustments to existing processes independently. Design and implement new methodologies for own workstreams, consult Director on strategic implications.
Data Validation Rules Implementation Apply existing rules, escalate anomalies. Develop and implement new validation rules for assigned data streams, with Manager review for significant changes. Define and oversee the implementation of enterprise-wide data validation frameworks.
External Data Provider Selection (e.g., for Scope 3) Research options and present findings to supervisor. Research, evaluate, and recommend providers to Senior Manager. No direct decision authority. Lead the selection process, negotiate terms, and make recommendations to Director for approval.
Reporting Narrative Content (for specific sections) Draft content based on data, subject to full review. Draft and refine narrative for assigned report sections, ensuring data accuracy and alignment with overall messaging. Legal/Comms review required. Own significant report sections, including narrative and data, ensuring strategic alignment and compliance.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Data Accuracy Rate for Assigned Streams
The percentage of data points you're responsible for that pass internal validation checks and external audit scrutiny.
Target · >99% accuracy on all verified data points

If you're managing Scope 1 & 2 emissions data, we'd expect less than 1% of your submitted data to have errors or require significant correction after review.

On-Time Data Collection Completeness
How much of the required data from your assigned sources is submitted by internal deadlines.
Target · 95% of data sources submitted by internal deadlines

Ensuring that 19 out of 20 factory energy reports are submitted on time each month, allowing for timely aggregation and analysis.

Data Query Resolution Time
How quickly you acknowledge and resolve data queries or requests for clarification from team members or auditors.
Target · Acknowledge queries within 24 hours, resolve within 48 hours for routine issues

Responding to an auditor's request for a specific water consumption figure and providing the source document within one working day.

GHG Data Completeness (Assigned Scopes)
The percentage of relevant emissions sources within your assigned Scope 1, 2, or specific Scope 3 categories for which we have verifiable data.
Target · >98% data coverage for all assigned Scope 1 and 2 emissions sources

Successfully gathering energy consumption data for all 15 operational sites, ensuring no gaps in our Scope 2 inventory.

Data Traceability & Audit Readiness
How well documented and organised your data collection processes and source documents are, making it easy for anyone (especially auditors) to follow the data's journey.
  • Clear, up-to-date process documentation for each data stream you own
  • easily accessible source documents linked to reported figures
  • positive feedback from internal and external auditors on data trails.
Process Improvement Suggestions
Your ability to spot inefficiencies or potential improvements in our data collection, validation, or reporting processes and propose practical solutions.
  • Proactive suggestions for automating manual tasks
  • ideas for standardising data templates
  • successful implementation of a small process change that saves time or improves accuracy for your workstream.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Making a Tangible Impact Through Data

You'll feel a real sense of accomplishment knowing your accurate data directly informs our public commitments and helps us reduce our environmental footprint. Seeing your numbers used in the annual report or by investors will be a big win.

Successfully tracking a reduction in water consumption across our sites, knowing your accurate data helped prove the effectiveness of new efficiency measures.

Problem-Solving & Continuous Improvement

You'll thrive on the challenge of untangling messy data, figuring out why a number looks off, or designing a better way to collect information. Each data gap or inconsistency is a puzzle for you to solve.

Identifying an error in a legacy data input system and working with the IT team to implement a fix that prevents future inaccuracies.

Contributing to a Greater Purpose

You're driven by the bigger picture of sustainability. Your detailed work, though sometimes tedious, directly supports the company's commitment to being a responsible corporate citizen.

Knowing that your diligent tracking of social metrics helps ensure fair labour practices in our supply chain, even if you're just looking at spreadsheets.

What frustrates people
  • The Data Janitor Reality: Expect to spend a good chunk of your time (frankly, sometimes 50%+) chasing, cleaning, and validating data from a patchwork of spreadsheets, PDFs, and sometimes clunky legacy operational systems. It's not all high-level strategy.
  • Regulation Whiplash: Just as you've gotten comfortable with one reporting framework, a new one (like CSRD) comes along, forcing you to adapt your data collection and governance processes.
  • The Annual Report Fire Drill: Despite a year-long plan, the final few months before the sustainability report is published will inevitably become a chaotic scramble of late data, last-minute executive reviews, and some late nights.
  • Explaining It. Again.: You'll find yourself explaining the difference between market-based and location-based Scope 2 emissions, or why we need specific supplier data, to the same senior leaders or operational teams every single quarter. Patience is key.
What this role does not give you
  • Direct authority over operational teams to enforce data collection.
  • A perfectly clean, centralised data system (yet!).
  • A role where every single analysis or report you create leads to immediate, visible change.

8Who you work with

Your work directly underpins the credibility of our public ESG disclosures. Accurate data means we can confidently report our progress, satisfy investor demands, and meet evolving regulatory requirements. Get it wrong, and we face serious reputational and financial risks. Honestly, you're a cornerstone of our transparency.

Inside the business
  • Operations Managers (for energy, waste, water data)
  • Finance Team (for financial ESG data, budget alignment)
  • Legal & Compliance (for regulatory checks on disclosures)
  • Communications & Investor Relations (for report narratives and investor queries)
  • HR Team (for social data like diversity, training)
Outside the business
  • External Auditors (who verify our ESG data)
  • ESG Rating Agencies (MSCI, Sustainalytics, CDP)
  • Industry Peers (for benchmarking data collection methods)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • At least 2-5 years of hands-on experience in data analysis, ESG reporting, environmental management, or a similar role where data accuracy was paramount.
  • Proven ability to manage and validate large, complex datasets from multiple sources.
  • Experience working with at least one major ESG reporting framework (e.g., GRI, SASB) in a professional setting.
  • Strong problem-solving skills, especially when faced with incomplete or inconsistent data.
  • Demonstrable experience in creating clear, concise documentation for data processes or methodologies.

10What to practise next

Where the job is going, and what to do about it starting this week.

ESG Platform Optimisation & Automation

As reporting requirements grow, manual processes in ESG platforms become unsustainable. We'll need to automate more data flows, validation rules, and report generation to keep up. Your ability to get the most out of these platforms will be crucial.

API Integrations · Workflow Automation · Custom Report Building

  • This month: Deep dive into the automation features of our primary ESG platform (e.g., Workiva's Chains or OneTrust's workflows).
  • Next quarter: Identify one manual data collection or validation task and propose an automated solution using platform features.
  • Within 6 months: Implement a small automation project, such as automated reminders for data providers or a simple data quality check.

Quick win: Set up a simple automated notification in our ESG platform to alert you when a key data point is updated or overdue.

11Staying current once you are in

What people here do to keep up
  • Attending industry webinars and conferences on new ESG regulations and reporting standards (e.g., those hosted by IEMA, GreenBiz).
  • Participating in online courses or workshops focused on advanced Excel/Power BI techniques, especially for data modelling and visualisation.
  • Joining professional networks for sustainability professionals to share best practices and learn from peers.
  • Taking internal courses on our company's specific operational processes to better understand data sources and challenges.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration for ESG

Competitors are already using AI to draft report sections, summarise regulations, and even analyse sentiment in stakeholder feedback. Analysts who master this will outproduce their peers significantly, and it's becoming a standard expectation.

  • Context Windows & Token Limits
  • RAG (Retrieval Augmented Generation)
  • Output Validation & Hallucination Detection
  • Prompt Chaining for Complex Tasks

Advanced Data Visualisation Storytelling

With more data comes more noise. The ability to not just present data, but to tell a compelling, clear story with it, is becoming vital. Our stakeholders, from investors to the Board, need quick, impactful insights, not just raw numbers. Static charts won't cut it anymore.

  • Audience-Centric Design
  • Interactive Dashboards
  • Narrative Flow in Visuals
  • Ethical Data Visualisation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • ESG Reporting Frameworks (GRI, SASB, TCFD, ESRS)
  • Materiality Assessment Principles (Double Materiality)
  • GHG Protocol & Carbon Accounting
  • Data Validation & Quality Assurance

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    ESG Analyst (Entry-Level)

    1-2 years

    Skills to master

    • Mastering data collection, cleaning, and basic validation. Getting really good at using spreadsheets and our core ESG platforms. Understanding the basics of GRI/SASB.

    You're ready to move on when

    • Consistently delivers accurate data on time for assigned tasks.
    • Proactively identifies and flags data inconsistencies.
    • Can clearly explain basic ESG concepts and data requirements to non-experts.
  2. 2

    Data Analyst (Generalist)

    2-3 years

    Skills to master

    • Strong analytical skills, advanced Excel/SQL proficiency, experience with data visualisation tools. Learning how to translate business questions into data requirements.

    You're ready to move on when

    • Demonstrates strong problem-solving skills with complex datasets.
    • Can build clear, insightful dashboards and reports.
    • Adapts quickly to new data systems and reporting needs.
  3. 3

    Environmental Consultant (Junior)

    2-4 years

    Skills to master

    • Experience with environmental data (GHG, water, waste), understanding of environmental regulations, client-facing communication skills, project support.

    You're ready to move on when

    • Has managed environmental data for multiple clients or projects.
    • Understands the regulatory context of environmental data.
    • Can clearly communicate data findings and their implications.

15Where this role leads

The long view: This work can lead to roles such as Lead ESG Performance Manager, ESG Reporting & Performance Manager, or Director of Sustainability. Each one brings bigger reporting cycles, larger teams and wider strategy.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how ESG Performance Manager is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Prepare and issue non-domestic Green Deal Advice Reports, worked against ESG Performance Manager.

Prepare and issue non-domestic Green Deal Advice Reports Level 4

Applied to your work in ESG Performance Manager

1. To enable the learner to describe the prescribed format and content of a Non-domestic Green Deal Advice Report. 2. To enable the learner to identify approved software options and select appropriate software for different types of non-domestic assessments.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
ESG Performance Manager
  • ESG Reporting Frameworks (GRI, SASB, TCFD, ESRS)
  • Materiality Assessment Principles (Double Materiality)
  • GHG Protocol & Carbon Accounting
  • Data Validation & Quality Assurance
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

ESG Performance Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior ESG Performance Manager (Level 003)

    3-5 years in current role

    You'll move from owning specific data streams to leading entire workstreams, managing more complex projects (like TCFD scenario analysis), and mentoring junior team members. You'll also take on more responsibility for process improvement and stakeholder engagement.

    • ESG Strategy Interpretation (translating strategy into data requirements)
    • Advanced Carbon Accounting (e.g., complex Scope 3 categories, carbon intensity metrics)
    • Process Design & Optimisation (designing new, efficient data collection processes)
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big part of ESG performance management is about wrangling data and making sense of mountains of information. What if you could cut down on the tedious bits and focus more on the insights and strategy? That's where AI comes in. We're not talking about replacing you; we're talking about giving you a superpower.

Our AI Productivity Hub is packed with tools and guides specifically for ESG professionals. It's designed to take the grunt work out of your day, freeing you up to do the interesting, impactful stuff. Think less data chasing, more strategic thinking. Here's a glimpse of how you'll use it day-to-day.

Automated Data Extraction

Use AI-powered Optical Character Recognition (OCR) to automatically pull specific numbers and details from unstructured documents like utility bills, waste invoices, and supplier compliance certificates. This data then populates your central database, flagging any weird anomalies for your review. No more manual keying for hours on end.

Anomaly Detection & Insights

Point an AI tool at your time-series data – think monthly energy use per site or quarterly water consumption. The AI will automatically flag statistical outliers that could signal a data error, a faulty meter, or even an unexpected operational issue. You'll spot problems long before a human would, saving you headaches down the line.

Regulatory & Peer Monitoring

Set up an AI agent to continuously scan for and summarise new ESG regulations, updates to reporting standards (like ESRS or GRI), and the latest sustainability reports from our key competitors. You'll get a curated weekly digest straight to your inbox, keeping you ahead of the curve without endless reading.

First-Draft Narrative Generation

Feed your structured data (metrics, targets, performance figures) into a generative AI model to create a solid first draft of the narrative for sections of our annual sustainability report. This means less staring at a blank page and more time refining the story, ensuring it hits the mark with our stakeholders.

Common questions

Common questions

How do you become an ESG Performance Manager?

Common routes in include ESG Analyst (Entry-Level) (1-2 years), Data Analyst (Generalist) (2-3 years) and Environmental Consultant (Junior) (2-4 years). Times vary with prior experience.

Where can an ESG Performance Manager progress to?

This role can lead on to Senior ESG Performance Manager (3-5 years in current role), depending on the skills you build.

What new skills matter most for an ESG Performance Manager?

Increasingly, Prompt Engineering & LLM Integration for ESG and Advanced Data Visualisation Storytelling. These are the skills our record of this role lists as growing.

Free tools

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Three free tools, no account needed. Each one ends with a role, a level and a way in.

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17Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in sustainability

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills built in this role, data management, reporting, stakeholder engagement and understanding complex regulations, transfer well. They can lead into sustainability consulting, ESG investing, corporate finance roles focused on sustainable finance, or operational roles driving sustainability initiatives in other organisations.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free AI Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.