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

Director, Global Procurement Intelligence

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 reports10-25 reports
Reports toChief Procurement Officer (CPO)
UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP Procurement Analytics · Global Head of Spend Intelligence · Director of Procurement Data & Insights

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 3 of 5 standards

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 2 of 5 standards

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 2 of 5 standards

Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 5 standards

NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science) NOCN · Level 5 · covers 1 of 5 standards

Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 5 standards

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

The units you would start with

Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science

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

Data-led Decision Making Level 6 Award in Data-led Decision Making

Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

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

Automation Fluency building AI into how work runs

Systems Fluency seeing the whole picture

Your Plan Illustration

Built for Director, Global Procurement Intelligence

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

Data Analysis and Visualisation OTHM Qualifications · covers 3 of 5 standards Level 7
Introduction to Data Science and Big Data NCC Education Limited · covers 2 of 5 standards Level 5
Data Analytics Pearson Education Ltd · covers 2 of 5 standards Level 5
Data-led Decision Making Institute of Sales Professionals · covers 1 of 5 standards Level 6
Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 5 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, Global Procurement Intelligence?

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 Business
Ethical AI & Explainable AI (XAI) in Procurement

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly
Automation Fluencybuilding AI into how work runs
Systems Fluencyseeing the whole picture

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, Global Procurement Intelligence plan as you set up, starting with the free Automation 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 turns spend data into procurement strategy that leaders act on. You work out where money goes and what to do about it, then present that to senior leaders.

4What you'd actually use

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

SAP S/4HANA / Oracle NetSuite (ERP/P2P) Strategic

Leading ERP data governance for procurement, making architectural decisions on integrating new P2P platforms, and understanding the financial implications of data flows across the enterprise.

Python (pandas, NumPy, scikit-learn) Strategic

Setting standards for data manipulation and code quality across the team, architecting ETL/ELT pipelines, and evaluating new data engineering tools to support advanced analytics.

Power BI / Tableau (BI & Visualization) Strategic

Owning the enterprise BI strategy for procurement, managing Power BI Premium or Tableau Server environments, and ensuring dashboards align with C-level strategic objectives and board reporting requirements.

SpendHQ / Sievo (Specialist Procurement Analytics) Strategic

Leading the selection, negotiation, and enterprise-wide implementation of specialist procurement analytics platforms. Managing the vendor relationship and defining the long-term roadmap for these critical tools.

Snowflake / AWS Redshift (Cloud Data Warehouse) Architect

Designing the overall cloud data architecture for the procurement function. Making critical decisions on data warehousing vs. data lakehouse approaches (e.g., Databricks), and managing budget, security, and performance for our core data assets.

Anaplan / Workday Adaptive Planning (Executive Planning) Strategic

Building and managing procurement-focused modules within Anaplan or Adaptive. Modelling the financial impact of sourcing strategies and presenting complex scenarios directly to Finance leadership for budget and forecast alignment.

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 choice	Coming in	Where you are now	The step above
Strategic Roadmap Definition (Procurement Analytics)	N/A	N/A	N/A
Budget Allocation (Procurement Analytics Tech & Team)	N/A	N/A	N/A
Hiring & Team Structure (Procurement Analytics)	N/A	N/A	N/A
Strategic Supplier Data Collaboration	N/A	N/A	N/A

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.

Realised Savings Influence

The total value of Finance-validated savings directly attributed to your team's analytical insights and recommendations.

Target · Achieve >£10M in annually realised savings, with a clear line of sight to £20M+ over two years.

Your team identifies a £1.5M opportunity in logistics spend through a TCO model. After implementation, Finance validates £1.2M in actual savings for the year, directly linked to your insight.

Procurement Data Maturity Score

Improvement in our internal assessment of procurement's data capabilities, covering data quality, tool adoption, and analytical sophistication.

Target · Elevate the function's analytics maturity score from 'Developing' (Level 2) to 'Advanced' (Level 4) within 24 months.

Moving from basic spend cubes to predictive models for commodity prices, with 80% of Category Managers using self-service dashboards.

Maverick Spend Reduction

The percentage decrease in off-contract or non-PO spend as a proportion of total addressable spend.

Target · Reduce maverick spend by 25% year-over-year.

If maverick spend was £4M last year, it should be no more than £3M this year, thanks to better visibility and proactive interventions from your team's insights.

Procurement ROI Enhancement

The return on investment generated by procurement activities, influenced by your team's ability to identify and quantify opportunities.

Target · Increase Procurement ROI by 15% over the next 18 months.

By optimising sourcing strategies through data, your team helps turn every £1 spent on procurement operations into £10 of value, up from £8.50 previously.

Strategic Influence & Adoption

How often your team's insights are proactively sought out and genuinely shape major procurement decisions, rather than just validating existing ideas.

Your team's recommendations are consistently incorporated into board-level presentations and strategic planning documents. Business unit VPs are asking your team for input before making large purchasing commitments. You're seen as a trusted advisor, not just a data provider.

Team Capability & Development

The overall strength, engagement, and progression of your analytics team.

High retention rates for top talent within your team. A clear talent pipeline, with junior members progressing to senior roles. Positive feedback on mentorship and growth opportunities from your direct reports. Your team is recognised internally as a centre of excellence.

Cross-Functional Partnership

The effectiveness of your collaboration with other key departments like Finance, IT, and Business Units.

Smooth, collaborative processes for savings validation with Finance. IT sees your team as a key partner in data architecture decisions. Business unit leads actively engage your team in their planning cycles, not just when they need a report. Fewer 'us vs. them' debates, more 'how can we solve this together?'

7Would you like it

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

What people enjoy

Driving Tangible Business Impact

You're excited by the idea of your team's insights directly influencing multi-million-pound decisions, seeing those savings hit the bottom line, or preventing a major supply chain disruption. You want to see your work make a real difference, not just sit in a report.

Successfully implementing a new supplier risk model that prevents a £5M production line stoppage by flagging a critical supplier's financial distress early.

Building & Leading a High-Performing Team

You love the challenge of recruiting top analytical talent, mentoring your managers, and creating an environment where people can do their best work. Seeing your team members grow and succeed is a huge driver for you.

Developing a junior analyst into a senior lead who then takes ownership of a critical analytical workstream, exceeding expectations.

Solving Complex Organisational Puzzles

You thrive on untangling messy data, navigating complex stakeholder dynamics, and figuring out how to get different parts of the business to agree on a single source of truth. The bigger the problem, the more engaged you are.

Designing a new global spend classification system that reconciles discrepancies between five different ERP systems and gets buy-in from Procurement, Finance, and IT.

What frustrates people

Battling with experienced Category Managers who dismiss data-driven insights because their '25 years of experience' and 'relationship with the supplier' tells them otherwise.
The endless, politically-charged debate with the Finance department over the methodology for calculating and booking procurement savings. They will never fully trust your numbers, and you'll spend a lot of time defending them.
The CPO's 'urgent' request at 4 PM on a Friday for a single slide with global spend for a specific supplier for a board meeting on Saturday morning. Your planned work is now irrelevant.
Market whiplash: your sophisticated models are constantly challenged by unpredictable global events, forcing frequent recalculations and explanations.

What this role does not give you

A purely academic environment where you can build models without having to 'sell' them or deal with messy implementation.
A static, predictable work schedule where priorities rarely shift. This is a dynamic role in a dynamic market.
A world where data is always clean, perfectly integrated, and instantly available. You'll spend significant time on data quality and integration challenges.
A role where you only focus on technical execution. You'll be spending more time on strategy, people leadership, and stakeholder management than hands-on coding.

8Who you work with

This role directly shapes our global procurement strategy. Your team's insights will drive decisions on everything from which suppliers we work with, to how we negotiate contracts, to how we manage our overall spend. You'll be instrumental in delivering multi-million-pound savings, improving our working capital, and building a more resilient supply chain. Honestly, you're building the intelligence engine that powers our entire buying operation.

Inside the business

Chief Procurement Officer (CPO)
Chief Financial Officer (CFO)
Chief Information Officer (CIO)
Business Unit VPs (e.g., Manufacturing, Retail)
Global Category Directors
Finance Leadership

Outside the business

Strategic Suppliers (for data collaboration)
Technology Vendors (for analytics platforms)
Industry Analysts

9What you need before you start

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

At least 16 years of progressive experience in data analytics, business intelligence, or procurement, with a significant portion (8-10 years) in leadership roles managing teams, including managers.
A proven track record of designing and implementing enterprise-level analytical solutions that have driven multi-million-pound business impact.
Demonstrable experience in building and leading high-performing analytical teams, with a focus on talent development and retention.
Expertise in at least two major ERP/P2P systems (e.g., SAP, Oracle, Coupa, Ariba) from a data extraction and governance perspective.
Extensive experience with cloud data warehousing solutions (e.g., Snowflake, AWS Redshift) and advanced BI platforms (Power BI, Tableau).
A strong understanding of financial principles, budgeting, and P&L management, with the ability to articulate the financial impact of analytical insights.
Exceptional executive presence and communication skills, with a history of presenting complex data to C-suite and board-level audiences.

10What to practise next

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

Data Mesh & Decentralised Data Governance

As our data landscape grows, a centralised data team becomes a bottleneck. Data Mesh principles allow domain-oriented teams (like Procurement) to own their data products, improving agility and data quality. You'll need to champion this shift.

Data as a Product · Domain-Oriented Ownership · Federated Computational Governance · Self-Serve Data Infrastructure

This quarter: Read Zhamak Dehghani's 'Data Mesh' book and discuss its implications with your IT and data leadership peers.
Next quarter: Identify one core procurement data product (e.g., classified spend data) that your team could 'productise' under a Data Mesh model.
Within 6 months: Pilot a decentralised data ownership model for this data product, working closely with IT.
Within 12 months: Advocate for broader adoption of Data Mesh principles across the organisation, positioning procurement as a thought leader.

Quick win: Start documenting your team's key data sets as 'products' today, outlining their purpose, ownership, and quality metrics.

Real-time & Streaming Analytics for Supply Chain

Batch processing is too slow for critical supply chain events. Real-time data on supplier performance, market fluctuations, and logistics can enable proactive interventions, preventing disruptions and optimising costs instantly. You'll need to drive this capability.

Event-Driven Architectures · Stream Processing Platforms · Low-Latency Data Warehousing · Anomaly Detection in Data Streams

This quarter: Research use cases for real-time analytics in procurement (e.g., fraud detection, logistics tracking).
Next quarter: Engage with IT to understand our current streaming data capabilities and infrastructure.
Within 6 months: Identify a pilot project for real-time analytics, perhaps for critical supplier performance monitoring.
Within 12 months: Oversee the implementation of a real-time dashboard or alerting system for a key supply chain metric.

Quick win: Explore existing real-time data sources within the company (e.g., ERP transaction logs) and brainstorm how they could provide immediate value if analysed instantly.

11Staying current once you are in

What people here do to keep up

Regularly attend industry conferences (e.g., Gartner Procurement Symposium, Strata Data & AI Conference) to stay abreast of emerging trends and network with peers.
Participate in executive leadership programmes focused on digital transformation or strategic influence.
Actively contribute to professional communities or forums related to procurement analytics or data leadership.
Mentor junior professionals, both within your team and across the wider organisation, to hone your leadership and coaching skills.

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 Business

Competitors are already using Large Language Models (LLMs) to draft executive summaries, analyse supplier contracts, and even generate initial risk assessments in minutes, not hours. Analysts who master this will outproduce their peers 3:1. You need to lead your team in leveraging this power responsibly.

Context Windows & Token Limits
Temperature Settings for Task Specificity
RAG (Retrieval Augmented Generation) Architectures
Output Validation & Hallucination Detection
Prompt Chaining for Complex Analysis

Ethical AI & Explainable AI (XAI) in Procurement

As we rely more on AI for critical decisions (e.g., supplier risk scoring, automated sourcing), understanding why an AI makes a recommendation is paramount. Regulators and internal stakeholders will demand transparency. You need to ensure your team builds and uses AI responsibly.

Bias Detection & Mitigation
Model Interpretability Techniques
Data Privacy & Security in AI
AI Governance Frameworks
Human-in-the-Loop Systems

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Spend Cube Analysis & Optimisation
Total Cost of Ownership (TCO) & Should-Cost Modelling
Supplier Performance & Risk Frameworks
Procurement Process Mining & Optimisation
Predictive Analytics for Sourcing & Supply Chain
Category Strategy Formulation (Data-Driven)

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
From Manager, Procurement Analytics & Insights (Level 5)
3-5 years as a successful Manager at Level 5.
Skills to master
- Mastering the ability to manage managers, setting and executing a functional strategy, owning a significant P&L, and consistently influencing Category Directors and other senior leaders.
You're ready to move on when
- Consistently exceeding team performance targets and delivering significant, validated business impact.
- Building a strong talent pipeline within your team and developing future leaders.
- Demonstrating strategic foresight in anticipating future analytical needs and proposing innovative solutions.
- Successfully navigating complex organisational politics and achieving cross-functional alignment on major initiatives.
2
From Director-level in another Analytics Function
Typically 2-3 years in a Director-level role in a related domain (e.g., Supply Chain Analytics, Finance Analytics) in a large, complex organisation.
Skills to master
- Quickly learning the nuances of procurement-specific data, processes, and stakeholder dynamics. Translating general analytics leadership into a specialised procurement context.
You're ready to move on when
- A proven track record of leading large analytical teams and driving strategic change in a different functional area.
- Demonstrable ability to quickly grasp new business domains and apply analytical expertise effectively.
- Strong executive communication and influencing skills that are transferable across business functions.
- A clear passion for procurement and its strategic importance to the business.
3
From Head of Data Strategy / Enterprise Architect
3-5 years in a senior data strategy or architecture role, ideally with exposure to business-facing analytics.
Skills to master
- Developing strong people leadership and team management skills, along with a deeper understanding of procurement-specific business processes and financial impact.
You're ready to move on when
- Expertise in designing and implementing large-scale data architectures and governance frameworks.
- Experience in translating technical data strategy into business value and communicating with senior stakeholders.
- A demonstrated ability to build and lead technical teams, even if not directly managing managers.
- A keen interest in applying architectural principles to solve complex business problems within procurement.

15Where this role leads

The long view: This work builds skills in data leadership and executive influence, on a global scale. It can lead to roles such as chief data officer or chief operating officer.

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, Global Procurement Intelligence is actually changing.

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 Analysis and Visualisation, worked against Director, Global Procurement Intelligence.

Data Analysis and Visualisation Level 7

Applied to your work in Director, Global Procurement Intelligence

1. To enable the learner to critically analyse the theoretical underpinnings of data analytics and their impact on decision-making in business management contexts. 2. To enable the learner to assess diverse data analysis activities, techniques, and tools applicable to business management scenarios. 3. To enable the learner to compare and contrast various predictive analytic techniques, evaluating their strengths and weaknesses in forecasting future business events. 4. To enable the learner to evaluate how predictive analytic techniques can be practically implemented for forecasting purposes within the business sector. 5. To enable the learner to evaluate prescriptive analytic techniques, illustrating their application with relevant examples from the business management domain. 6. To enable the learner to apply a suitable programming language or data analysis tool to conduct data analysis and visualisation tasks related to business management problems.

How the thinking builds

1 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
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, Global Procurement Intelligence

Spend Cube Analysis & Optimisation
Total Cost of Ownership (TCO) & Should-Cost Modelling
Supplier Performance & Risk Frameworks
Procurement Process Mining & Optimisation
Predictive Analytics for Sourcing & Supply Chain
Category Strategy Formulation (Data-Driven)

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, Global Procurement Intelligence is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

VP, Procurement Excellence & Digital Transformation (Level 7)
3-5 years in the Director, Global Procurement Intelligence role.

This is a significant jump, moving from owning the analytics strategy to owning all aspects of procurement capability (Analytics, Systems, Process, People) across the enterprise. You'll be reporting directly to the CPO or potentially the COO.
- Developing and executing enterprise-wide digital transformation roadmaps for procurement.
- Leading major system implementations and integrations across the entire P2P cycle.
- Driving cultural change towards digital adoption and data literacy across a large, diverse procurement organisation.
- Managing relationships with key technology partners and industry bodies at an executive level.
Chief Procurement Officer (CPO) - Level 7
5-8 years in the Director, Global Procurement Intelligence role, often with an interim step as a VP.

This is the ultimate leadership role for procurement, owning the entire function, its strategy, P&L, and all global operations. Your analytical background will be a huge differentiator.
- Defining and executing the overall enterprise procurement strategy (3-5 year vision).
- Leading major supplier negotiations and strategic partnerships at a global level.
- Managing geopolitical and economic risks impacting the entire supply chain.
- Representing the company externally as a thought leader in procurement and supply chain.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, you're a Director, not a data entry clerk. Imagine slashing the time your team spends on manual, repetitive tasks by leveraging AI. This isn't just about efficiency; it's about freeing up your brightest minds to focus on high-value strategic thinking that truly moves the needle for the business.

We're embedding AI into every corner of our procurement analytics function. This means moving beyond reactive reporting to proactive, predictive intelligence. Your role will involve championing these tools, guiding your team on how to use them effectively, and making sure we're always at the forefront of what's possible with AI to drive real business value.

Automated Spend Classification

Use an AI/ML model to automatically classify millions of lines of invoice and PO data into your procurement taxonomy. It learns from past corrections to handle ambiguous descriptions, dramatically reducing manual effort and improving data quality at scale. Your team can then focus on insights, not data cleaning.

Predictive Commodity Forecasting

Leverage AI to analyse historical price data, market news, and economic indicators to generate probabilistic forecasts for key raw materials. This provides a range of likely outcomes for better hedging, negotiation strategies, and proactive risk management, giving your team a significant edge.

Supplier Risk Intelligence

Deploy an AI agent to continuously monitor news, financial reports, and sanction lists for your key suppliers. It can flag potential disruptions, bankruptcies, or compliance issues in real-time before they become critical problems. This shifts your team from reactive crisis management to proactive risk mitigation.

First-Draft Commentary Generation

Use a Generative AI tool (trained on your past reports and company style guides) to write the initial draft of the executive summary for the Quarterly Business Review. It can summarise key trends, variances, and savings achievements, which your team then refines and adds strategic depth to, saving hours on report writing.

Common questions

How do you become a Director, Global Procurement Intelligence?

Common routes in include From Manager, Procurement Analytics & Insights (3-5 years as a successful Manager at Level 5.), From Director-level in another Analytics Function (Typically 2-3 years in a Director-level role in a related domain (e.g., Supply Chain Analytics, Finance Analytics) in a large, complex organisation.) and From Head of Data Strategy / Enterprise Architect (3-5 years in a senior data strategy or architecture role, ideally with exposure to business-facing analytics.). Times vary with prior experience.

Where can a Director, Global Procurement Intelligence progress to?

This role can lead on to VP, Procurement Excellence & Digital Transformation (3-5 years in the Director, Global Procurement Intelligence role.) and Chief Procurement Officer (CPO) - Level 7 (5-8 years in the Director, Global Procurement Intelligence role, often with an interim step as a VP.), depending on the skills you build.

What new skills matter most for a Director, Global Procurement Intelligence?

Increasingly, Prompt Engineering & LLM Integration for Business and Ethical AI & Explainable AI (XAI) in Procurement. These are the skills our record of this role lists as growing.

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 Automation 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.

Director, Global Procurement Intelligence

Where should we send it?

Two short quizzes about you

Will AI change your work as a Director, Global Procurement Intelligence?

What's rising in its place

Prompt Engineering & LLM Integration for Business

Ethical AI & Explainable AI (XAI) in Procurement

Skills this role draws on

Technical

How you actually get there, here

From Manager, Procurement Analytics & Insights (Level 5)

From Director-level in another Analytics Function

From Head of Data Strategy / Enterprise Architect

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

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

VP, Procurement Excellence & Digital Transformation (Level 7)

Chief Procurement Officer (CPO) - Level 7

Where AI is starting to help

Automated Spend Classification

Predictive Commodity Forecasting

Supplier Risk Intelligence

First-Draft Commentary Generation

Common questions

Want a read on where you stand?