UK

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

Director, Analytics Solutions

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  • Experience bandDirector/VP (16-20 years)
  • Direct reports3-5 reports
  • Reports toVP, Business Transformation & Analytics
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of Data Consulting · VP, Business Analytics (Internal) · Senior Director, Strategic Analytics

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

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 10 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 10 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 10 standards

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

The units you would start with

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
Frontier Fluency the next wave, beyond mainstream AI
Foresight Fluency seeing round the corner
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Your Plan Illustration

Built for Director, Analytics Solutions

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 6 of 10 standards Level 7
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 4 of 10 standards Level 5
  3. Data Analytics Pearson Education Ltd · covers 4 of 10 standards Level 5
  4. Data-led Decision Making Institute of Sales Professionals · covers 1 of 10 standards Level 6
  5. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 10 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, Analytics Solutions?

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

  • Ethical AI & Responsible Analytics Governance
  • Leading through Quantum Computing & Advanced Analytics
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, Analytics Solutions plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

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

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3What this role really is

A Director, Analytics Solutions sets the analytical agenda for a major part of a business and leads managers and consultants who work on data problems. The role decides how data gets used to solve commercial and operational challenges, and makes sure that work has a measurable effect on results.

4What you'd actually use

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

SQL (PostgreSQL, T-SQL) Strategic

Guiding data modelling decisions, reviewing complex query designs from your architects, and understanding the implications of database architecture on strategic analytical solutions. You won't be writing daily queries, but you'll understand their impact.

Alteryx Designer / Python (pandas) Architect

Setting standards for data transformation logic, deciding on the strategic choice between low-code and code-based solutions for different business problems, and ensuring data pipelines are robust and scalable. You'll guide the 'how', not execute it.

Tableau Desktop / Power BI Strategic

Governing the enterprise BI environment, developing company-wide visualisation standards and templates, and ensuring dashboards effectively communicate strategic insights to executive audiences. You'll review and approve, not build.

Excel (Power Query, VBA) / Python (scikit-learn, statsmodels) Strategic

Scoping complex analytical projects, determining the most appropriate modelling techniques for strategic business problems, and translating model outputs into actionable business strategy for C-suite consumption. You'll understand the underlying mechanics and direct their application.

Jira / Confluence / Miro Strategic

Managing a portfolio of strategic analytics programmes in Jira, setting documentation standards for your entire function in Confluence, and using Miro for executive-level strategic roadmap planning and visioning sessions.

Snowflake / SAP S/4HANA / Salesforce Architect

Advising on enterprise-wide data integration strategies between these critical platforms, understanding their API limitations, and guiding data governance models to ensure data quality and accessibility for strategic analytics.

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 Programme Prioritisation N/A N/A N/A
Budget Allocation & Spend N/A N/A N/A
Organisational Design & Talent Management 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.

Business Value Delivered
Documented cost savings or revenue uplift directly attributable to analytics solutions implemented by your teams.
Target · >£5M annually (typically £5M-£10M+)

Your team's new pricing optimisation model led to a 3% revenue uplift across the Commercial unit, equating to £7.5M in additional profit for the year. Or, an operational efficiency programme saved £6M in logistics costs.

Strategic Project Portfolio Success Rate
Percentage of major strategic analytics programmes (multi-quarter, multi-team efforts) that meet their objectives, budget, and timeline.
Target · 85% success rate

Out of 10 major programmes initiated this year, 9 delivered their stated objectives within 10% of budget and schedule. The one that didn't was due to a significant external market shift, not internal execution.

Analytical Capability Maturity Score
Improvement in the business unit's overall data literacy, self-service analytics adoption, and the robustness of its data infrastructure, as measured by an internal audit framework.
Target · Increase maturity score by 15% year-on-year

The Operations team's self-service dashboard usage jumped from 30% to 60% of managers, and their ability to interpret complex data trends improved significantly, moving their capability score from 'Emerging' to 'Proficient'.

Team Engagement & Retention
Maintaining a high level of engagement and low voluntary attrition within your direct and indirect teams, reflecting effective leadership and a positive work environment.
Target · Top quartile engagement score (e.g., >75%) and <10% voluntary attrition

Your team's latest engagement survey showed a 78% favourability score, and only one manager left for an external opportunity in the last 12 months, which is well below the company average.

Strategic Influence & Thought Leadership
Being seen as the go-to expert for data-driven strategy within your business domain, proactively shaping the agenda rather than just reacting to requests.
  • You're regularly invited to C-suite strategy sessions, your opinions are actively sought by VPs before major decisions, you're presenting at board-level meetings, and your team's work is cited as best practice across the organisation. People come to you for advice before they even know what question to ask.
Talent Development & Succession Planning
Building a strong pipeline of analytical leaders and experts within your teams, ensuring robust succession plans for key roles.
  • You have clear development plans for all your direct reports, at least two managers are ready for promotion to Director-level roles within 18 months, and your team members are frequently promoted into other parts of the business. You're known for growing great people.
Organisational Alignment & Collaboration
Successfully fostering collaboration across different business units and functions to deliver integrated analytics solutions, breaking down data silos.
  • You've successfully led multi-departmental initiatives where data and insights are shared seamlessly. Other Directors and VPs praise your ability to get different teams on the same page and working towards a common goal. Your solutions are truly cross-functional, not just departmental.

7Would you like it

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

What people enjoy
Driving Large-Scale Business Transformation

You'll spend your days identifying the biggest opportunities for change within your business unit, designing the analytical programmes to unlock them, and then marshalling the resources to make them happen. This means lots of strategic planning, executive influence, and problem-solving at an organisational level.

Leading the complete overhaul of our sales forecasting methodology, resulting in a 15% improvement in accuracy and directly impacting inventory management and production planning for the entire company.

Building and Mentoring High-Performing Teams

A significant part of your role is developing your managers and their teams. You'll be coaching, providing strategic guidance, unblocking issues, and creating a culture where top analytical talent thrives. It's about seeing your people grow and succeed, knowing you've helped shape their careers.

Developing a new talent rotation programme that sees your top managers move into key business roles, demonstrating the value of your team's talent and creating a strong succession pipeline.

Solving Complex, Ambiguous Strategic Problems

You'll be handed the 'impossible' problems – the ones with no clear answer, messy data, and conflicting stakeholder views. You'll thrive on deconstructing these, defining the analytical approach, and guiding your teams to deliver clear, actionable recommendations that genuinely shift the business.

Taking on the challenge of understanding why a new product line is underperforming, despite strong initial market signals, and delivering a data-driven strategy to course-correct within six months.

What frustrates people
  • The sheer amount of time spent in meetings, often discussing things that feel far removed from the actual data analysis.
  • Navigating complex organisational politics and getting different VPs to agree on a common data strategy or investment.
  • Having to deprioritise a brilliant analytical programme because of a sudden, urgent, C-suite request that changes everything.
  • Dealing with legacy systems and data silos that make even basic data integration a multi-month battle.
  • The challenge of retaining top analytical talent when external companies are constantly poaching them with tempting offers.
  • The pressure of being accountable for multi-million-pound impacts, knowing that a misstep can have significant career and business consequences.
What this role does not give you
  • Daily hands-on coding or model building (you'll guide, not execute).
  • A quiet, predictable work environment with minimal political navigation.
  • The luxury of always having perfect data or unlimited resources for every project.
  • Immediate gratification from seeing every single analytical output go live.

8Who you work with

This role directly drives multi-year strategic transformations within a major business unit, influencing P&L performance (£2M-£10M+), organisational design, and market positioning. Your decisions and strategies will determine how effectively we compete, operate, and innovate in a data-driven world. You're essentially a key architect of our future success in your domain.

Inside the business
  • C-Suite (CEO, COO, CFO, CCO)
  • Business Unit VPs and Directors (e.g., VP of Sales, Director of Operations)
  • Heads of Product and Technology
  • Group Finance Leadership
  • Legal and Compliance Teams
Outside the business
  • Strategic Technology Partners and Vendors
  • Industry Bodies and Associations
  • External Consulting Firms (for specific partnerships or benchmarking)
  • Key Clients (when advising on client-facing analytics strategies)

9What you need before you start

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

  • Proven track record of leading and managing multiple analytics teams, including managers, for at least 5 years.
  • Demonstrable experience in setting and executing strategic analytics roadmaps that delivered multi-million-pound business impact.
  • Extensive experience acting as a trusted advisor to C-suite and VP-level stakeholders, influencing strategic decisions.
  • Deep expertise in designing and overseeing the implementation of complex, enterprise-scale analytical solutions.
  • Strong understanding of P&L management and the ability to build robust business cases for significant investments.
  • A history of successfully driving organisational change and fostering a data-driven culture.

10What to practise next

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

Advanced Cloud Data Architecture & Optimisation

The shift to cloud-native data platforms is accelerating, and optimising these for cost, performance, and scalability is critical. You'll need to guide your teams on architectural choices that support multi-year strategic goals, ensuring we're not overspending or creating technical debt.

Data Mesh & Data Fabric Architectures · Serverless Data Processing · Cost Optimisation in Cloud Data Warehouses · Data Observability & Reliability Engineering

  • This quarter: Review our current cloud spend and identify 3 areas for optimisation with your Head of Architecture.
  • Next 6 months: Lead a strategic review of our data architecture roadmap, ensuring it aligns with future business needs.
  • Next 12 months: Sponsor a proof-of-concept for a new data mesh component within your business unit.
  • Ongoing: Engage with cloud provider account teams to stay updated on new features and best practices.

Quick win: Ask your architects to present a 'Cloud Cost vs. Value' report monthly, highlighting key spend areas and potential optimisations. It helps you stay on top of it.

Operationalising Machine Learning (MLOps) at Scale

Building models is one thing; getting them into production reliably, monitoring their performance, and managing their lifecycle is another. As we deploy more AI, MLOps becomes crucial for ensuring our models deliver consistent value and don't drift. You'll guide the strategy for robust, scalable ML deployments.

ML Model Lifecycle Management · Feature Stores & Model Registries · Model Monitoring & Alerting · Automated Retraining & Deployment Pipelines

  • This quarter: Review your team's current MLOps practices and identify key bottlenecks or risks.
  • Next 6 months: Sponsor a project to implement a new feature store or model registry for a critical business unit.
  • Next 12 months: Work with your Head of Data Science to define the MLOps roadmap for the next 2-3 years.
  • Ongoing: Stay informed about new MLOps platforms and tools, evaluating their potential fit for our environment.

Quick win: Ask your data science leads to present their biggest MLOps challenges and propose solutions. It empowers them and informs you.

11Staying current once you are in

What people here do to keep up
  • Regularly attend industry conferences and executive summits focused on data strategy, AI, and digital transformation.
  • Participate in executive coaching or mentorship programmes to refine leadership and influencing skills.
  • Contribute to industry thought leadership through articles, speaking engagements, or panel discussions.
  • Actively engage in peer networks with other Directors and VPs of Analytics to share best practices and challenges.
  • Undertake continuous learning in emerging technologies like advanced AI governance, quantum computing, and ethical data practices.

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.

Ethical AI & Responsible Analytics Governance

As AI becomes more pervasive, the risks of bias, privacy breaches, and unintended consequences grow exponentially. Regulators are catching up, and public trust is paramount. As a Director, you'll be accountable for ensuring our AI solutions are not only effective but also fair, transparent, and compliant. This isn't just a technical problem; it's a leadership challenge.

  • AI Explainability (XAI)
  • Bias Detection & Mitigation
  • Data Privacy Enhancing Technologies (PETs)
  • Regulatory Landscape for AI
  • AI Audit & Assurance

Leading through Quantum Computing & Advanced Analytics

While still nascent, quantum computing and other advanced analytical paradigms (e.g., neuromorphic computing) promise to solve problems currently intractable for classical computers. As a Director, you need to understand the potential strategic advantage, identify early use cases, and prepare your organisation for a future where these technologies could redefine competitive landscapes. It's about future-proofing our analytical edge.

  • Quantum Advantage & Use Cases
  • Hybrid Quantum-Classical Algorithms
  • Quantum Machine Learning (QML)
  • Computational Complexity & Scalability
  • Strategic Investment in Emerging Tech

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Hypothesis-Driven Problem Solving (Strategic)
  • Stakeholder Requirements Elicitation (Executive Level)
  • Solution Architecture & Design (Enterprise Scale)
  • Benefits Realisation & ROI Modelling (Portfolio Level)
  • Change Management & Adoption Strategy (Organisational)
  • Business Process Analysis (Strategic Redesign)

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

    Internal Promotion (Manager, Analytics Solutions)

    3-5 years as a Manager

    Skills to master

    • Mastering the management of multiple teams, developing strategic roadmaps, consistently delivering significant business value, and building strong relationships with cross-functional VPs.

    You're ready to move on when

    • Consistently exceeds performance targets for their portfolio of projects and team KPIs.
    • Has successfully mentored and promoted at least 2-3 direct reports into more senior roles.
    • Is regularly consulted by senior leaders outside their direct reporting line for strategic advice.
    • Has taken on and successfully delivered a significant, cross-functional initiative with multi-million-pound impact.
  2. 2

    External Director-level Role (Large Enterprise)

    Direct entry with 15-20 years experience

    Skills to master

    • Demonstrable experience leading large analytics functions, managing significant P&L, and driving strategic transformation in a complex, enterprise-level environment. Experience in a similar industry sector is a plus.

    You're ready to move on when

    • Proven track record of strategic leadership and business impact in a comparable organisation.
    • Strong network and reputation within the analytics and internal consulting community.
    • Clear examples of successfully navigating complex organisational politics and driving change at scale.
  3. 3

    External Consulting (Senior Partner/Principal)

    Direct entry with 15-20 years experience

    Skills to master

    • Expertise in client relationship management, solution architecture for diverse industries, and a deep understanding of consulting methodologies applied at a strategic level. The ability to translate external best practices into internal value.

    You're ready to move on when

    • Extensive experience advising C-suite clients on data and analytics strategy.
    • Demonstrated ability to build and lead large consulting engagements.
    • A strong commercial mindset and understanding of different business models.

15Where this role leads

The long view: This role moves you from managing teams to shaping a significant part of a business. It can lead to a Chief Data Officer role, a Chief Operating Officer role, or a CEO or Managing Director 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, Analytics Solutions is actually changing.

Where it leads

Roles this leads to

The record names a next step, but the catalogue has no page for it yet:

  • VP, Business Transformation & Analytics

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, Analytics Solutions.

Data Analysis and Visualisation Level 7

Applied to your work in Director, Analytics Solutions

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.

Start my Director, Analytics Solutions plan, free
See Your Progress Grow Illustration
Director, Analytics Solutions
  • Hypothesis-Driven Problem Solving (Strategic)
  • Stakeholder Requirements Elicitation (Executive Level)
  • Solution Architecture & Design (Enterprise Scale)
  • Benefits Realisation & ROI Modelling (Portfolio Level)
  • Change Management & Adoption Strategy (Organisational)
  • Business Process Analysis (Strategic Redesign)
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, Analytics Solutions is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. VP, Business Transformation & Analytics

    3-5 years

    From L6 to L7

    • Enterprise Data Ecosystem Architecture Designing and overseeing the entire company's data infrastructure.
    • Global Regulatory Compliance Ensuring analytical operations comply with diverse international regulations.
    • Advanced Organisational Change Leadership Driving transformation across multiple business units and geographies.
Working with AI on the job

Working with AI

Where AI is starting to help

As a Director, your time is precious. You're constantly juggling strategic planning, team leadership, executive communication, and driving multi-million-pound initiatives. Imagine if you could reclaim a significant chunk of your week, not just for more work, but for deeper strategic thinking, more impactful mentorship, and genuinely moving the business forward. That's where AI comes in.

We're not talking about replacing your strategic brain, but augmenting it. Our internal AI Productivity Hub is designed to take the heavy lifting out of routine (but necessary) tasks, giving you the headspace to focus on what truly matters: vision, people, and transformational impact. Think of it as having a highly intelligent, always-on executive assistant for your entire function.

AI-Powered Strategic Synthesis

Feed lengthy market research reports, internal performance reviews, and competitor analyses into our AI tools. Get instant, executive-ready summaries that highlight key trends, risks, and strategic opportunities, saving you days of reading and synthesis. It's like having a research team distill everything into a few punchy paragraphs, letting you focus on the 'so what'.

Executive Communication Co-Pilot

Need to draft a compelling board presentation, a persuasive memo to the C-suite, or a critical communication to your entire business unit? Use AI to generate first drafts, refine messaging for different audiences, and even suggest data visualisations. You'll spend less time wordsmithing and more time perfecting the strategic narrative and impact.

Automated Performance Insights

Instead of waiting for your teams to manually pull and summarise performance data, deploy AI-driven dashboards and natural language query systems. Get real-time, actionable insights on your team's project portfolio, budget adherence, and value delivery, allowing you to proactively course-correct and identify areas for improvement. No more digging for numbers; they're served up instantly.

Talent Development & Mentorship AI

Use AI to analyse team performance data, identify skill gaps, and even suggest personalised development plans for your managers. It can help you prepare for 1:1s by summarising recent project contributions and highlighting potential coaching opportunities, ensuring your mentorship is always targeted and impactful. It's about making your people leadership even more effective.

Common questions

Common questions

How do you become a Director, Analytics Solutions?

Common routes in include Internal Promotion (Manager, Analytics Solutions) (3-5 years as a Manager), External Director-level Role (Large Enterprise) (Direct entry with 15-20 years experience) and External Consulting (Senior Partner/Principal) (Direct entry with 15-20 years experience). Times vary with prior experience.

Where can a Director, Analytics Solutions progress to?

This role can lead on to VP, Business Transformation & Analytics (3-5 years), depending on the skills you build.

What new skills matter most for a Director, Analytics Solutions?

Increasingly, Ethical AI & Responsible Analytics Governance and Leading through Quantum Computing & Advanced Analytics. 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 internal consulting

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

The skills built in this role carry across industries such as FinTech, retail, healthcare, and the public sector. They also apply to strategic roles at technology vendors or management consulting firms. Turning data into strategic action is useful in most sectors.

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 Director, Analytics Solutions plan, free 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.