UK

United Kingdom · Sustainability · Director/VP (16-20 years)

Director of ESG Data & Analytics

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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  • Experience bandDirector/VP (16-20 years)
  • Direct reports25-100+ reports
  • Reports toChief Sustainability Officer (CSO)
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of Sustainability Data · VP, ESG Reporting & Intelligence · Global Director, Sustainability Insights · Chief Data Officer (ESG Focus)

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

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 6 of 8 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 3 of 8 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 3 of 8 standards
Pearson BTEC Level 5 Higher National Diploma in Business Pearson Education Ltd · Level 5 · covers 1 of 8 standards

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

The units you would start with

Data Science Foundations OTHM Level 7 Diploma in Data Science
Data Management Software Skills AIM Qualifications Entry 3 Diploma in Skills for Working in Business, Administration and Customer Service Industries
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Advanced Data Analytics for Productivity NOCN Level 5 Certificate in Strategic Organisational Productivity Management
Business Data Analytics and Insights Pearson BTEC Level 5 Higher National Diploma in Business

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
Frontier Fluency the next wave, beyond mainstream AI
Your Plan Illustration

Built for Director of ESG Data & Analytics

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

  1. Data Science Foundations OTHM Qualifications · covers 6 of 8 standards Level 7
  2. Data Management Software Skills AIM Qualifications · covers 1 of 8 standards Entry Level
  3. Introduction to Data Science and Big Data NCC Education Limited · covers 3 of 8 standards Level 5
  4. Data Analytics Pearson Education Ltd · covers 3 of 8 standards Level 5
  5. Advanced Data Analytics for Productivity NOCN · covers 1 of 8 standards Level 5
  6. Business Data Analytics and Insights Pearson Education Ltd · covers 1 of 8 standards Level 5
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 a Director of ESG Data & Analytics?

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

  • AI-Powered Predictive ESG Analytics & Scenario Modelling
  • Blockchain & Distributed Ledger Technologies for Supply Chain Transparency
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 Director of ESG Data & Analytics plan as you set up, starting with the free Data Fluency module. No card.

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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

This job sets the direction for ESG data and analytics across an organisation. It covers building data infrastructure, checking its accuracy, and deciding how it shapes business decisions, investor relations and regulatory reporting.

4What you'd actually use

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

ESG Platforms (Workiva, Sphera, EcoVadis) Strategic

Leading the selection, implementation, and ongoing strategic optimisation of enterprise-level ESG reporting and data management platforms. You'll define the architecture and ensure its integration across the business.

Data Wrangling & Automation (Python - pandas, NumPy) Strategic

Defining the automation strategy for ESG data workflows, championing the use of scripting for complex data transformations, API integrations, and ensuring data quality at scale. You'll direct your team on best practices.

Database & ERP Systems (SQL, SAP S/4HANA, Oracle NetSuite) Strategic

Collaborating with IT and business system owners to define data warehousing requirements for ESG, ensuring seamless data extraction and integration from core enterprise systems. You'll guide the data architecture.

Data Visualisation (Power BI, Tableau) Strategic

Defining the enterprise visualisation strategy for ESG insights, ensuring dashboards are compelling, actionable, and tailored for executive and Board-level audiences. You'll present these insights.

Collaboration & Document Management (MS SharePoint, Teams, Confluence) Strategic

Setting governance policies and designing the information architecture for all ESG data, evidence documentation, and reporting processes across global business units to ensure audit readiness and accessibility.

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
ESG Data Strategy & Architecture N/A N/A You define the multi-year strategic roadmap for ESG data, including platform selection, data models, and governance frameworks. You consult with the CSO and CIO for alignment, but the design is yours.
Team Hiring & Organisational Design N/A N/A You have full authority to hire, structure, and develop your team (25-100+ people), including creating new roles and defining career paths, within approved headcount and budget.
Functional Budget Allocation N/A N/A You manage and allocate a P&L of £2M-£10M+ for your department, making decisions on software, consulting, and operational expenses. Major deviations require CSO approval.
External Vendor & Technology Selection N/A N/A You lead the RFP process and make final decisions on core ESG data platforms and major technology partners (e.g., Workiva, Sphera, large data analytics tools), typically up to £500K per contract, with higher values requiring C-suite sign-off.
Regulatory Interpretation & Compliance Approach N/A N/A You interpret new regulations (e.g., CSRD, ISSB) and define the company's data collection and reporting approach to ensure compliance, in close consultation with the Legal team and CSO.
Public ESG Data Disclosures N/A N/A You are accountable for the accuracy and defensibility of all ESG data presented in public reports and investor communications. You sign off on the data, working with Legal and Comms on the narrative.

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.

External Assurance Success Rate
Number of major non-conformance findings in annual third-party ESG assurance reports.
Target · Zero major non-conformance findings annually.

Achieving zero critical findings from our external assurance provider on our annual GHG emissions reporting for three consecutive years.

ESG Rating Improvement Contribution
Measurable improvement in key external ESG ratings and benchmarks (e.g., MSCI, CDP, S&P Global CSA).
Target · Improvement in overall score by at least one quartile across top three relevant ratings within 24 months.

Moving from an 'A' to an 'AA' rating with MSCI, or improving our CDP score by 15% year-on-year due to enhanced data quality and disclosure.

Strategic ESG Data Integration
Number of key ESG metrics successfully integrated into the company's official financial planning, risk management, or business intelligence dashboards.
Target · Integrate at least 3-5 critical ESG metrics into core business dashboards within 18 months.

Successfully embedding Scope 1 & 2 emissions intensity and water withdrawal metrics into the CFO's quarterly performance dashboard, allowing for real-time risk assessment.

Data Governance Maturity Score
Internal audit or external assessment score on the robustness and effectiveness of ESG data governance frameworks and controls.
Target · Achieve a 'Mature' or 'Optimised' rating (e.g., 4 or 5 out of 5) in data governance assessments.

An internal audit report confirming that our ESG data lineage, data quality checks, and control frameworks meet best practice standards, with no high-risk findings.

Regulatory Compliance Readiness
Timeliness and completeness of preparations for new mandatory sustainability reporting regulations (e.g., CSRD, ISSB).
Target · Achieve 100% readiness for all new mandatory reporting requirements at least 6 months prior to effective date.

Having all necessary data points, collection processes, and reporting templates in place for CSRD reporting by Q4 2024, well ahead of the 2025 reporting period.

Board & Investor Confidence
The degree to which the Board and institutional investors proactively seek your insights on ESG data integrity, strategy, and emerging risks.
  • Regular invitations to Board committee meetings (e.g., Audit, Sustainability Committee) to present data strategy
  • direct requests from investors for deep-dive sessions on our data methodologies
  • positive feedback from IR team on your contributions to investor dialogues.
Cross-Functional Strategic Influence
Your ability to influence and secure buy-in from senior leaders across IT, Finance, Operations, and Legal for ESG data initiatives and resource allocation.
  • Successful approval of significant budget for new ESG data platforms or team expansion
  • active participation and leadership in cross-functional steering committees
  • other departments proactively seeking your input on data-related projects that impact ESG.
Team Leadership & Development
The effectiveness of your leadership in building, mentoring, and retaining a high-performing ESG data and analytics team.
  • High employee engagement scores within your department
  • clear career progression paths for team members with demonstrable advancements
  • low voluntary turnover rate compared to industry benchmarks
  • positive 360-degree feedback from direct reports and peers on your coaching and development efforts.
Proactive Risk Identification
Your team's ability to identify potential data integrity issues, regulatory non-compliance risks, or reputational threats related to ESG data before they become public problems.
  • Documented instances of early identification and mitigation of data discrepancies
  • proactive recommendations to Legal or Communications on potential disclosure risks
  • contributions to enterprise risk management frameworks specific to ESG data.

7Would you like it

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

What people enjoy
Driving Strategic Impact

You'll be leading initiatives that directly influence our company's public commitments, investor relations, and long-term resilience. Seeing your data strategy translate into tangible business outcomes—like securing green financing or improving our ESG ratings—will be a huge driver.

Successfully implementing a new data platform that allows the Board to track real-time decarbonisation progress, leading to a £500M green bond issuance.

Building & Transforming Capabilities

You'll get to design and build an entire enterprise-level ESG data function from the ground up (or significantly transform an existing one). This means shaping the team, selecting technology, and defining processes that will serve the company for years to come.

Architecting and deploying a new global ESG data lake, standardising collection across 50+ sites, and seeing your team grow from 10 to 30 specialists.

Navigating Complexity & Solving Big Problems

The world of ESG data is incredibly complex, constantly evolving, and fraught with challenges. If you thrive on wrestling with ambiguous regulations, disparate data sources, and high-stakes reporting, you'll find this role deeply engaging. It's about bringing order to chaos.

Successfully guiding the company through its first CSRD reporting cycle, despite initial data gaps and internal resistance, and receiving positive feedback from external auditors.

What frustrates people
  • The sheer pace of regulatory change means that just when you've perfected one reporting process, a new one lands, requiring a significant overhaul.
  • Securing budget and resources for data infrastructure when other departments are also vying for investment can be a constant battle.
  • Dealing with legacy systems and data silos across different business units that make integrated data collection incredibly difficult.
  • The pressure to 'optimise' data for positive PR, while still maintaining absolute integrity and defensibility for assurance purposes.
  • Recruiting and retaining top-tier ESG data talent in a highly competitive market.
What this role does not give you
  • A quiet, heads-down analytical role – you'll be in meetings, presenting, and influencing constantly.
  • A fully established, perfectly optimised data function – you're here to build and transform.
  • Guaranteed quick wins – many initiatives will be long-term, multi-year programmes.
  • A role where you can avoid internal politics – influencing at this level is inherently political.

8Who you work with

This role directly shapes our enterprise-wide sustainability strategy, market positioning, and regulatory compliance. You'll be accountable for ensuring our public ESG disclosures are accurate and defensible, which directly influences investor confidence, access to capital, and our overall brand reputation. Your decisions on data infrastructure, governance, and reporting frameworks will have multi-year implications for the entire business.

Inside the business
  • Chief Sustainability Officer (CSO)
  • CFO and Finance Leadership
  • Chief Information Officer (CIO) and IT Leadership
  • General Counsel and Legal Team
  • Heads of Business Units (e.g., Manufacturing, Supply Chain, R&D)
  • Investor Relations
  • Corporate Communications & Marketing
  • Internal Audit
Outside the business
  • External Auditors and Assurance Providers
  • ESG Rating Agencies (e.g., MSCI, Sustainalytics, CDP)
  • Regulators (e.g., FCA, EU Commission, SEC)
  • Investors and Financial Institutions
  • Industry Bodies and Standard Setters (e.g., GRI, ISSB)
  • Key Supply Chain Partners
  • Technology Vendors

9What you need before you start

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

  • Demonstrable experience (16+ years) in a senior leadership role overseeing ESG data, reporting, or data governance within a large, complex, multinational organisation.
  • Proven track record of building and leading high-performing data and analytics teams (25+ direct/indirect reports), including managers.
  • Extensive experience with external ESG assurance processes, successfully navigating third-party audits and achieving positive outcomes.
  • Deep understanding of the global regulatory landscape for sustainability reporting and a history of successfully implementing compliance programmes.
  • Experience presenting complex data strategies and insights to C-suite executives and Board members, influencing strategic decisions.

10What to practise next

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

Advanced Data Architecture for ESG

As ESG data becomes more complex and integrated with financial reporting, the need for robust, scalable, and secure data architecture is critical. This isn't just about databases; it's about designing the entire flow from source to disclosure.

Data Lakehouse Architecture · API-First Data Strategy · Master Data Management (MDM) for ESG · Cloud-Native ESG Solutions

  • This quarter: Work with the CIO and IT architecture team to review our current enterprise data architecture and identify gaps for ESG.
  • Next 6 months: Develop a high-level architectural roadmap for our ESG data ecosystem, considering scalability, security, and integration needs.
  • Next 12 months: Lead an internal workshop or engage external experts to benchmark our ESG data architecture against industry best practices.
  • Ongoing: Stay informed on new data management technologies and their potential application to complex ESG data challenges.

Quick win: Map out the current end-to-end data flow for a key ESG metric (e.g., Scope 1 emissions) to identify bottlenecks and potential points of failure. It's a great way to start thinking architecturally.

Integrated Reporting & Financial Disclosure Systems

The convergence of financial and non-financial reporting (driven by ISSB, CSRD) means ESG data can no longer live in a silo. You'll need to understand how to integrate ESG metrics directly into financial statements and enterprise reporting systems.

XBRL/iXBRL Tagging for ESG · Financial Consolidation Systems Integration · Internal Controls over Sustainability Reporting (ICSR) · Materiality Integration with Financial Impact

  • This quarter: Partner closely with the CFO and Finance team to understand their current financial reporting systems and processes.
  • Next 6 months: Identify 2-3 key ESG metrics that can be integrated into existing financial reporting dashboards or systems as a pilot.
  • Next 12 months: Lead a cross-functional working group (Finance, IT, Legal) to develop a roadmap for full integrated reporting compliance.
  • Ongoing: Attend conferences or webinars focused on the convergence of financial and non-financial reporting to stay abreast of developments.

Quick win: Review our latest annual report and identify where ESG data is currently referenced. Then, consider how it could be more formally integrated or cross-referenced with financial data.

11Staying current once you are in

What people here do to keep up
  • Regular attendance at executive-level sustainability conferences (e.g., World Economic Forum, GreenBiz, Responsible Business Summit) to stay abreast of global trends and network with peers.
  • Participation in industry working groups or standard-setting bodies (e.g., WBCSD, UN Global Compact) to influence the future of ESG reporting.
  • Executive education programmes focused on strategic leadership, digital transformation, or board governance to enhance your leadership capabilities.
  • Mentoring junior professionals in the ESG data space, which deepens your own understanding and builds the next generation of talent.

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.

AI-Powered Predictive ESG Analytics & Scenario Modelling

Regulators and investors are increasingly demanding forward-looking statements and stress tests on ESG risks. Simply reporting historical data won't be enough. AI can help us move from descriptive to predictive, modelling future climate impacts, supply chain disruptions, or social risks.

  • Machine Learning for Anomaly Detection
  • Generative AI for Scenario Planning
  • Predictive Modelling for Resource Optimisation
  • Ethical AI in ESG

Blockchain & Distributed Ledger Technologies for Supply Chain Transparency

The demand for verifiable, immutable data on supply chain provenance, emissions, and human rights is growing. Blockchain offers a way to create trusted, auditable trails for critical ESG data points, moving beyond self-reported data.

  • Immutable Data Records
  • Smart Contracts for Compliance
  • Tokenisation of ESG Assets
  • Data Privacy & Confidentiality on Blockchain

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • GHG Protocol Accounting (Scope 1, 2, 3)
  • Sustainability Reporting Frameworks (GRI, SASB/ISSB, TCFD, CSRD/ESRS)
  • Materiality Assessment (Double Materiality)
  • Data Validation, Assurance & Audit Readiness
  • Supply Chain ESG Data & Tracing
  • Life Cycle Assessment (LCA) Principles & Application

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

    Head of ESG Reporting / Global ESG Data Lead

    3-5 years in previous role

    Skills to master

    • Deep expertise in all major reporting frameworks, managing complex data collection cycles, leading large teams, and successful external audit management.

    You're ready to move on when

    • Successfully led at least three annual ESG reporting cycles for a multinational company.
    • Managed a team of 10+ ESG data professionals.
    • Directly engaged with external auditors and achieved clean assurance reports.
    • Demonstrated ability to influence senior stakeholders on data quality and process improvements.
  2. 2

    Senior ESG Consultant (Big 4 / Specialist Firm)

    5-7 years at Senior Manager/Director level in consulting

    Skills to master

    • Client relationship management, project delivery for complex ESG data transformations, understanding of diverse industry challenges, and leading multi-disciplinary teams.

    You're ready to move on when

    • Led multiple large-scale ESG data strategy or reporting implementation projects for major clients.
    • Developed and presented strategic recommendations to C-suite clients.
    • Proven ability to manage complex engagements, budgets, and client expectations.
    • Built a strong network within the sustainability and data consulting ecosystem.
  3. 3

    Director of Data Governance / Enterprise Data Architect (with ESG focus)

    4-6 years in previous role

    Skills to master

    • Enterprise data architecture, master data management, data quality frameworks, data security, and experience integrating diverse data sources across an organisation.

    You're ready to move on when

    • Designed and implemented enterprise-wide data governance frameworks.
    • Managed large data integration projects across multiple business units.
    • Demonstrated strong technical understanding of data warehousing, ETL, and data quality tools.
    • Successfully collaborated with business stakeholders to define data requirements and ensure data integrity.

15Where this role leads

The long view: This role can lead to Chief Sustainability Officer, Chief Data Officer with an ESG focus, or a board-level ESG advisory position.

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 Director of ESG Data & Analytics is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • VP of Risk & Compliance (with ESG Specialisation)

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 Data Science Foundations, worked against Director of ESG Data & Analytics.

Data Science Foundations Level 7

Applied to your work in Director of ESG Data & Analytics

1. To enable the learner to define the scope and landscape of Data Science and differentiate the roles of Data Scientists from other IT professionals. 2. To enable the learner to evaluate key topics within Data Science, including data administration, governance, and big data sources. 3. To enable the learner to describe the architecture and core elements of Apache Hadoop. 4. To enable the learner to analyse the advantages and disadvantages of utilising Artificial Intelligence techniques in a business context. 5. To enable the learner to critically analyse the impact of Big Data on digital transformation within organisations and its effects on users. 6. To enable the learner to review strategies for ensuring data compliance and explain the responsibilities and challenges faced by data specialists.

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
Director of ESG Data & Analytics
  • GHG Protocol Accounting (Scope 1, 2, 3)
  • Sustainability Reporting Frameworks (GRI, SASB/ISSB, TCFD, CSRD/ESRS)
  • Materiality Assessment (Double Materiality)
  • Data Validation, Assurance & Audit Readiness
  • Supply Chain ESG Data & Tracing
  • Life Cycle Assessment (LCA) Principles & Application
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

Director of ESG Data & Analytics is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Chief Sustainability Officer (CSO)

    3-5 years in this role

    C-Suite (L7)

    • ESG strategy development and execution across all business functions.
    • Public policy engagement and regulatory lobbying.
    • M&A due diligence and integration from an ESG perspective.
    • Leading company-wide cultural change towards sustainability.

  2. VP of Risk & Compliance (with ESG Specialisation)

    3-5 years in this role

    C-Suite (L7) or very senior L6

    • Integrating ESG risks into the overall enterprise risk management framework.
    • Overseeing compliance for all regulatory domains, not just sustainability.
    • Developing and implementing company-wide internal controls.
    • Engaging with broader regulatory bodies and legal counsel.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, at this level, your time is precious. You shouldn't be bogged down in manual tasks or sifting through endless documents. AI isn't just for junior analysts; it's a game-changer for strategic leaders like you, freeing you up to focus on what truly matters: strategy, influence, and innovation.

We're not just talking about automating basic data entry here. Imagine using AI to synthesise complex regulatory changes, identify emerging ESG risks from vast datasets, or even draft initial responses to investor queries. This isn't science fiction; it's happening now, and it'll redefine how you lead your function and engage with the business.

Strategic Insight Generation

Use advanced AI and LLMs to quickly analyse vast internal and external ESG datasets (e.g., peer reports, market trends, academic research). This helps you identify emerging risks, uncover new opportunities, and inform your strategic recommendations to the C-suite, saving you hours of manual research.

Automated Regulatory Compliance & Benchmarking

Feed new regulatory documents (like the latest ESRS standards) into an AI to instantly extract key data requirements, identify compliance gaps, and even compare our current disclosures against best practice. You can also use it to benchmark our ESG performance against competitors without tedious manual analysis.

Executive Communication & Investor Relations AI

Leverage generative AI to draft compelling first versions of Board presentations, investor Q&A responses, or internal communications on complex ESG data topics. This helps you tailor your message for different audiences, ensuring clarity and impact, and significantly reduces preparation time for high-stakes meetings.

Data Governance & Audit Prep Automation

Deploy AI tools to automatically scan data lineage documentation, identify potential gaps in data quality controls, or flag areas where audit evidence might be weak. This proactive approach ensures your team is always 'assurance-ready' and reduces the stress of audit cycles, allowing you to focus on strategic oversight.

Common questions

Common questions

How do you become a Director of ESG Data & Analytics?

Common routes in include Head of ESG Reporting / Global ESG Data Lead (3-5 years in previous role), Senior ESG Consultant (Big 4 / Specialist Firm) (5-7 years at Senior Manager/Director level in consulting) and Director of Data Governance / Enterprise Data Architect (with ESG focus) (4-6 years in previous role). Times vary with prior experience.

Where can a Director of ESG Data & Analytics progress to?

This role can lead on to Chief Sustainability Officer (CSO) (3-5 years in this role) and VP of Risk & Compliance (with ESG Specialisation) (3-5 years in this role), depending on the skills you build.

What new skills matter most for a Director of ESG Data & Analytics?

Increasingly, AI-Powered Predictive ESG Analytics & Scenario Modelling and Blockchain & Distributed Ledger Technologies for Supply Chain Transparency. 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 7

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

Skills in building data systems, working within regulation, and briefing senior leadership apply across regulated industries. This can lead to work in financial services, particularly sustainable finance, or in policy roles within government or international organisations. Demand for people who can manage complex data in high-stakes settings continues to grow.

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 Data 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.