UK

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

Director of Revenue Operations & 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 reports3-8 reports
  • Reports toVP of Sales
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of Sales Operations & Strategy · VP, Commercial Analytics · Senior Director, Revenue Enablement

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 2 of 5 standards
ISM Level 5 Diploma in Sales (RQF) Institute of Sales Management · Level 5 · covers 2 of 5 standards
Level 5 Award in Analysis Financial Performance Institute of Sales Professionals · Level 5 · covers 1 of 5 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 1 of 5 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · 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
Sales forecasting and budgeting ISM Level 5 Diploma in Sales (RQF)
Analyse Financial Performance Level 5 Award in Analysis Financial Performance
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
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
Your Plan Illustration

Built for Director of Revenue Operations & Analytics

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 2 of 5 standards Level 7
  2. Sales forecasting and budgeting Institute of Sales Management · covers 2 of 5 standards Level 5
  3. Analyse Financial Performance Institute of Sales Professionals · covers 1 of 5 standards Level 5
  4. Introduction to Data Science and Big Data NCC Education Limited · covers 1 of 5 standards Level 5
  5. Data-led Decision Making Institute of Sales Professionals · covers 1 of 5 standards Level 6
  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 of Revenue Operations & 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 Strategy & Ethical Governance for Commercial Data
  • Data Product Management & Monetisation
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 Revenue Operations & 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

A director of revenue operations and analytics runs the strategy and processes behind how a sales organisation works. The role covers the data that drives decisions and the systems that make sales teams effective, along with reporting on performance and growth plans to senior leadership.

4What you'd actually use

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

Salesforce Sales Cloud (Admin & Architecture) Expert

Strategic oversight of Salesforce data model design, integration with other enterprise systems, governance, and ensuring the platform supports complex reporting and automation needs for the entire sales organisation.

Microsoft Excel (Advanced Modelling & Scenario Analysis) Expert

Architecting complex financial models for scenario analysis (e.g., M&A impact on sales, new market entry projections) to present to executive leadership, focusing on assumptions and strategic implications.

Tableau / Power BI (BI Strategy & Governance) Expert

Defining the overall BI strategy for sales, managing Tableau Server/Power BI Premium environments, ensuring data security, performance, and that dashboards drive strategic decisions at all levels of the organisation.

SQL (Database Design & Optimisation) Expert

Overseeing the design and optimisation of database schemas and ETL processes for sales analytics, often working with data engineering teams to ensure a robust, scalable data warehousing strategy (e.g., Snowflake, BigQuery).

Clari / Gong.io (Strategic Adoption & Integration) Expert

Owning the vendor relationship, driving adoption of conversation intelligence and forecasting tools across the sales org, and integrating platform insights into executive-level QBRs and strategic planning.

Anaplan / Pigment (Enterprise Planning Architecture) Expert

Leading the design and architecture of enterprise-wide planning models, connecting sales forecasts and quota plans directly to the corporate financial plan (P&L) and ensuring data integrity across financial systems.

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
Strategic Roadmap & Investment N/A N/A N/A
L6: Director of Revenue Operations & Analytics Define multi-year strategy for Revenue Operations & Analytics. Approve budget up to £5M for tools, headcount, and programmes. Select major technology vendors (e.g., new forecasting platform, CRM add-ons). Make final hiring/firing decisions for direct reports. Recommend changes to sales compensation plans to CRO/CFO. N/A N/A
Organisational Design & Team Structure N/A N/A N/A
L6: Director of Revenue Operations & Analytics Design the internal structure of the Revenue Operations & Analytics department. Approve new roles and headcount within approved budget. Set performance objectives and development plans for managers and leads. N/A N/A
Major Programme/Project Approval N/A N/A N/A
L6: Director of Revenue Operations & Analytics Approve the initiation and resourcing of major programmes (e.g., global CRM migration, new territory planning model). Oversee programme delivery and manage executive stakeholder expectations. N/A N/A
Forecast & Commercial Reporting Methodology N/A N/A N/A
L6: Director of Revenue Operations & Analytics Define and implement the company-wide sales forecasting methodology. Establish standards for all commercial reporting and dashboards presented to executive leadership and the board. 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.

Business Unit Forecast Accuracy
The precision of sales revenue predictions against actual closed revenue for the entire sales business unit.
Target · Maintain a company-level sales forecast accuracy of +/- 5% against actuals, quarter-on-quarter.

If the Q3 forecast was £10M, actual revenue came in at £9.7M. That's a 3% variance, which is well within target and shows strong predictive capability.

Sales Productivity & Efficiency Gains
Measurable improvements in sales cycle time, win rates, or average deal size directly attributable to operations and analytics initiatives.
Target · Analytics-driven initiatives lead to a measurable 10% reduction in average sales cycle time or a 5% increase in win rates within 12 months.

After implementing a new deal qualification framework (driven by your team's analysis), the average time from 'Discovery' to 'Closed-Won' dropped from 90 days to 80 days for enterprise deals.

Strategic Initiative Impact (e.g., Compensation Model ROI)
The demonstrable return on investment from major strategic projects, such as a redesigned sales compensation plan.
Target · A compensation model redesign, informed by your team's analysis, contributes to a 15% increase in new logo acquisition or a 20% improvement in sales rep retention within 18 months.

Post-compensation plan redesign, we saw new logo acquisition jump by 18% in the first two quarters, directly linking back to the incentive structure your team modelled and implemented.

Data Governance & Quality Score
The overall health and reliability of our sales data across all platforms, measured by completeness, accuracy, and consistency.
Target · Achieve and maintain a data quality score of 95%+ across critical sales objects (Opportunities, Accounts, Leads) within 12 months.

We reduced the number of opportunities with missing 'Next Step' or 'Close Date' fields by 40% in six months, significantly improving the reliability of our pipeline reporting.

Executive & Board-Level Influence
Your ability to confidently present complex commercial insights to the executive team and board, influencing strategic decisions and gaining buy-in for major initiatives.
  • You're regularly invited to present at board meetings and executive strategy sessions. The CRO and CEO frequently seek your counsel on commercial strategy. Your recommendations are adopted and acted upon at the highest levels of the organisation.
Organisational Alignment & Collaboration
The effectiveness of your leadership in getting Sales, Marketing, Finance, and Product teams to work together seamlessly on revenue-generating initiatives.
  • Successful cross-functional projects (e.g., new product launches, market expansion) are delivered on time and budget, with clear ownership and minimal friction. You're seen as a trusted partner by other department heads, not just a 'sales data person'.
Team Leadership & Development
Your ability to build, mentor, and retain a high-performing team of revenue operations and analytics professionals.
  • Your direct reports are consistently hitting their objectives and showing clear career progression. Employee engagement scores for your team are high, and you have a strong talent pipeline for future leadership roles within your function.

7Would you like it

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

What people enjoy
Shaping Enterprise Strategy

You'll spend time in executive meetings, contributing to the overall business direction. You'll lead strategic initiatives that redefine how we go to market. This isn't just about reporting, it's about setting the course.

Leading the annual go-to-market planning cycle, where your team's insights on market segments and sales capacity directly inform the CRO's strategy for the next fiscal year.

Building High-Performing Teams & Capabilities

You'll be coaching your managers, setting ambitious goals for your department, and designing the structure of the Revenue Operations & Analytics function itself. You'll see your team members grow and take on more significant challenges.

Recruiting a new Lead Analyst, then mentoring them through their first major project, seeing them develop into a future leader within your organisation.

Driving Tangible Business Transformation

You'll own multi-year programmes that fundamentally change how we operate, like a new CRM implementation or a global compensation overhaul. You'll see the direct impact of these changes on revenue and productivity.

Overseeing the successful rollout of a new sales forecasting methodology that improves accuracy by 10%, leading to better resource allocation and investor confidence.

What frustrates people
  • Presenting a flawless, data-backed strategy only to see it diluted or ignored due to internal politics or a senior leader's 'hunch'.
  • The constant tension between short-term quarterly targets and long-term strategic investments, often forcing difficult trade-offs.
  • Dealing with the 'human element' of data—sales reps not adhering to data entry standards, requiring significant effort to maintain data quality at scale.
  • The sheer complexity of managing multiple, often competing, priorities across different executive stakeholders.
  • Recruiting and retaining top talent in a highly competitive market, especially for niche analytics skills.
What this role does not give you
  • A purely academic, hands-on analytics role where you spend all your time building models without the burden of people management or executive influence.
  • A static environment where processes are set in stone and rarely change. This role is about continuous evolution.
  • A role where you can avoid difficult conversations or challenging senior leaders. That's a core part of the job.

8Who you work with

You're directly responsible for shaping the sales business unit's strategy and market position. Your decisions influence everything from our go-to-market approach and sales productivity to our overall profitability and investor confidence. You're driving multi-year transformation, not just incremental changes, which means a significant impact on the company's trajectory.

Inside the business
  • Chief Revenue Officer (CRO)
  • VP of Sales (Global, Regional)
  • CFO and Finance Leadership
  • Head of Marketing
  • Head of Product
  • Legal & Compliance Teams
  • Board of Directors
Outside the business
  • Strategic Technology Vendors (e.g., Salesforce, Clari, Anaplan)
  • Industry Analysts & Consultants
  • Key Partners & Integrators

9What you need before you start

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

  • A proven track record of 16-20 years in Revenue Operations, Sales Operations, or Commercial Analytics, with at least 5-7 years in a leadership role managing managers or large teams.
  • Demonstrable experience in defining and executing multi-year strategic roadmaps for a significant business unit or function.
  • Extensive experience presenting to and influencing C-suite executives and Board members on commercial strategy and performance.
  • Successfully led at least two major business transformation programmes (e.g., CRM implementation, global compensation redesign) from conception to successful adoption.
  • Deep expertise in enterprise-level sales forecasting, territory planning, and sales compensation design.
  • A strong understanding of data governance principles and experience in architecting scalable data solutions for commercial analytics.

10What to practise next

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

Cloud Data Warehousing & Lakehouse Architecture

As data volumes explode and real-time insights become critical, traditional data warehouses are giving way to more flexible, scalable cloud-native architectures. You'll need to understand the strategic implications of these shifts for sales analytics, including cost, performance, and data accessibility.

Snowflake, Databricks, Google BigQuery, AWS Redshift · Data Lake vs. Data Warehouse vs. Data Lakehouse · ETL/ELT Strategies in the Cloud · Data Governance & Security in Cloud Environments · Cost Optimisation for Cloud Data

  • This quarter: Schedule deep-dive sessions with your Data Engineering and IT teams to understand our current data architecture.
  • Next 6 months: Participate in vendor evaluations for new cloud data platforms, focusing on their capabilities for sales analytics.
  • Next 12 months: Lead the strategic planning for migrating key sales data assets to a new cloud-native environment.
  • Ongoing: Read industry reports and attend webinars on the latest trends in cloud data management.

Quick win: Ask your Data Engineering team to walk you through a high-level diagram of our current sales data flow, from source systems to dashboards, and identify one bottleneck.

11Staying current once you are in

What people here do to keep up
  • Regularly engage with industry thought leaders and participate in executive-level forums on Revenue Operations, Sales Strategy, and AI in business.
  • Mentor emerging leaders within your team and across the organisation, sharing your knowledge and experience.
  • Actively contribute to industry best practices through speaking engagements, whitepapers, or advisory roles.
  • Pursue ongoing executive education in areas like advanced analytics, AI strategy, or organisational change management.

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 Strategy & Ethical Governance for Commercial Data

AI is no longer a 'nice-to-have'; it's becoming foundational to competitive sales organisations. As a Director, you'll need to define how we use AI strategically, not just if. This means understanding its capabilities and limitations, but also the ethical implications and governance frameworks needed to ensure responsible deployment, especially with sensitive customer data.

  • AI-driven Predictive Analytics
  • Generative AI for Sales Enablement
  • Data Ethics & Bias Mitigation
  • AI Vendor Evaluation & Integration
  • Responsible AI Frameworks

Data Product Management & Monetisation

As data becomes our most valuable asset, Revenue Operations will increasingly act as a 'data product' provider for the rest of the business. You'll need to think about internal data assets (dashboards, models, insights) as products with users, roadmaps, and value propositions. This also extends to potentially monetising certain data insights externally.

  • Internal Data Product Strategy
  • User-Centric Design for Analytics
  • Data Governance & Lifecycle Management
  • Value Realisation & ROI Measurement
  • External Data Monetisation (Exploration)

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Enterprise Sales Pipeline Analysis & Velocity Tracking
  • Strategic Territory & Quota Modelling
  • Multi-Year Predictive Sales Forecasting & Variance Analysis
  • Advanced Sales Compensation & Incentive Strategy
  • Win/Loss Analysis & Strategic Feedback Loops

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

    From Lead Revenue Operations Analyst / Senior Manager

    3-5 years at the previous level

    Skills to master

    • Mastering strategic programme management, developing executive presence, building and leading high-performing teams (including managing managers), and demonstrating accountability for significant business unit outcomes.

    You're ready to move on when

    • Successfully led multiple complex, cross-functional projects with significant business impact.
    • Consistently delivered accurate, high-stakes forecasts or strategic analyses that directly influenced executive decisions.
    • Mentored and developed junior team members, showing strong leadership potential.
    • Demonstrated ability to navigate organisational politics and influence senior stakeholders without direct authority.
  2. 2

    From Director of Sales / Regional Sales Leader

    4-6 years in a senior sales leadership role

    Skills to master

    • Developing deep analytical and data architecture knowledge, understanding the intricacies of sales compensation modelling, and mastering the strategic use of sales technology. The focus here is on translating sales leadership experience into operational and analytical excellence.

    You're ready to move on when

    • Achieved consistent sales targets and demonstrated strong commercial acumen.
    • Developed a keen interest and capability in data-driven sales management and operational efficiency.
    • Successfully managed large sales teams and implemented process improvements.
    • Exhibited a natural ability to connect sales strategy with operational execution and analytical insights.
  3. 3

    From Senior Finance Business Partner / FP&A Lead

    5-7 years in a senior finance role supporting commercial teams

    Skills to master

    • Gaining a deep understanding of sales specific processes and methodologies, CRM systems, and the nuances of sales incentive design. The transition involves shifting from purely financial reporting to driving operational improvements within a sales context.

    You're ready to move on when

    • Provided critical financial support and analysis to sales leadership, demonstrating strong commercial understanding.
    • Built robust financial models for sales forecasting and budgeting.
    • Exhibited strong collaboration with sales teams, often acting as a trusted advisor on commercial performance.
    • Demonstrated a desire to move into a more operational and strategic role within the commercial function.

15Where this role leads

The long view: This role can lead to chief revenue officer or chief operating officer positions, or board and advisory work drawing on commercial strategy experience.

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 Revenue Operations & Analytics 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 Data Analysis and Visualisation, worked against Director of Revenue Operations & Analytics.

Data Analysis and Visualisation Level 7

Applied to your work in Director of Revenue Operations & Analytics

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. 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 Revenue Operations & Analytics
  • Enterprise Sales Pipeline Analysis & Velocity Tracking
  • Strategic Territory & Quota Modelling
  • Multi-Year Predictive Sales Forecasting & Variance Analysis
  • Advanced Sales Compensation & Incentive Strategy
  • Win/Loss Analysis & Strategic Feedback Loops
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 Revenue Operations & Analytics is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. VP of Revenue Operations

    3-5 years in the Director role

    L7

    • Leading global revenue operations tech stack strategy
    • Driving enterprise data strategy and monetisation
    • Advanced organisational design for large, complex GTM teams
    • Negotiating and managing strategic partnerships at an executive level

  2. Chief Revenue Officer (CRO)

    5-8 years in the Director/VP role

    L7

    • Defining and executing global GTM strategy across all revenue functions
    • Leading product strategy in conjunction with the CPO to maximise revenue
    • Driving M&A strategy for revenue growth
    • Building and managing a world-class customer success organisation
Working with AI on the job

Working with AI

Where AI is starting to help

As a Director of Revenue Operations & Analytics, your time is precious. You're constantly juggling strategic planning, executive presentations, and team leadership. The good news? AI isn't just for junior analysts anymore. It's a game-changer for senior leaders like you, freeing you from operational minutiae to focus on what truly matters: driving enterprise-level growth.

Imagine having an intelligent co-pilot that helps you sift through mountains of data, identify strategic risks, and even draft executive summaries. That's the reality of AI in modern Revenue Operations. We're building an AI-first culture, and we expect our leaders to be at the forefront, using these tools to amplify their impact and transform their teams' productivity. This isn't about replacing people; it's about empowering them—and you—to do more, faster, and with greater insight.

Strategic Risk Identification & Scenario Modelling

Use advanced AI models to proactively identify potential risks in the sales pipeline (e.g., deals showing 'slippage' patterns, unusual discounting behaviour) or market shifts. Run complex 'what-if' scenarios on compensation plans or territory designs in minutes, not days, to understand their potential impact on revenue and profitability.

Executive Insight Generation & Presentation Prep

Feed raw sales performance data and strategic questions into generative AI to get first-draft executive summaries, board presentation outlines, and key talking points. Focus your time on refining the narrative and adding your unique strategic perspective, rather than starting from a blank page. It's like having a dedicated research assistant on demand.

Automated Data Governance & Quality Control

Deploy AI-powered tools to continuously monitor and cleanse your CRM and other sales data sources at scale. Automatically detect and correct inconsistencies, flag incomplete records, and ensure your strategic analyses are always based on the cleanest, most reliable data possible. This frees your team from tedious manual checks, allowing them to focus on higher-value work.

Predictive Forecasting & Anomaly Detection

Integrate AI-driven forecasting engines (e.g., Clari, Salesforce Einstein) into your strategic planning. Use these tools to provide an unbiased, data-backed forecast baseline, compare it against your team's manual projections, and quickly identify any significant deviations or 'sandbagging' at a business unit level, allowing for proactive intervention.

Common questions

Common questions

How do you become a Director of Revenue Operations & Analytics?

Common routes in include From Lead Revenue Operations Analyst / Senior Manager (3-5 years at the previous level), From Director of Sales / Regional Sales Leader (4-6 years in a senior sales leadership role) and From Senior Finance Business Partner / FP&A Lead (5-7 years in a senior finance role supporting commercial teams). Times vary with prior experience.

Where can a Director of Revenue Operations & Analytics progress to?

This role can lead on to VP of Revenue Operations (3-5 years in the Director role) and Chief Revenue Officer (CRO) (5-8 years in the Director/VP role), depending on the skills you build.

What new skills matter most for a Director of Revenue Operations & Analytics?

Increasingly, AI Strategy & Ethical Governance for Commercial Data and Data Product Management & Monetisation. These are the skills our record of this role lists as growing.

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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 sales

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

The skills built in this role transfer to other industries, particularly B2B SaaS, FinTech, or any sector with complex sales cycles. Data-driven commercial strategy is useful across most industries.

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.