Head of Data and Analytics

Tarmac
Solihull
1 year ago
Applications closed

Related Jobs

View all jobs

Manufacturing Data Scientist

Senior Data Engineer/ PowerBI

Senior Machine Learning Engineer

Process & Performance Data Analyst

ERP Data Analyst

Data Analyst

At Tarmac,

‘who you are’ matters. We want to get to know you. If you share our values and are proud of a job well done, collaborative in working well with others and ambitious to make things better, then have a read of what we have on offer.

We are currently looking for an ambitious and enthusiasticHead of Data & Analytics to join our Transformation team based in Solihull, West Midlands. Flexible/Hybrid working available. 

As the Head of Data and Analytics, you'll play a crucial role in transforming our organisation into a data-driven enterprise. Working closely with the wider Transformation Office, you'll develop and implement a company-wide data strategy that fosters innovation, drives competitive advantage, and aligns with our strategic business objectives. If you are passionate about unlocking the value of data and leading impactful initiatives, this is a rare opportunity to shape the future of our organisation.

Role Responsibility

Key Responsibilities 

The key responsibilities in this role are:

Strategic Leadership 

Build and manage the Data and Analytics function, developing and executing a company-wide data strategy ensuring projects align with the overall business goals. 

Collaborate with senior leaders to identify and prioritise data projects that drive business value. 

Define success metrics and KPIs to measure the impact of data initiatives on business outcomes. 

Data Infrastructure and Technology 

Recommend and implement scalable, secure data infrastructure that aligns with the company's technology strategy. 

Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights. 

Lead the creation and management of a comprehensive reporting suite that supports decision-making. 

Data Governance and Management 

Establish data governance frameworks to ensure data quality, ownership, and privacy. 

Oversee the integration and management of data pipelines to ensure unified and accessible data. 

Design and implement scalable data architecture, including data models, common data structures and nomenclature. 

Team Leadership and Development 

Recruit, mentor, and manage a high-performing data team, utilising both in-house and outsourced resources and using objectives and Key Results (OKRs) to drive delivery and accountability. 

Foster a culture of continuous improvement and value delivery. 

Driving Cultural Change 

Build data literacy, promoting a data-driven mindset across the business. 

Lead initiatives to embed data-based decision-making at all levels cultivating an agile and design thinking culture within the data function and the broader organisation. 

Value Realisation 

Work with finance partners to develop reporting frameworks to ensure projects deliver value to the business and are aligned with the overall company strategy. 

Develop ROI / TCO Frameworks and drive value discovery and realisation initiatives. 

Business Case formulation and ownership. 

Build vs Buy decision making. 

Stakeholder Engagement 

Develop and execute a stakeholder engagement plan, fostering strong relationships with IT and business units to integrate data initiatives across the organisation. 

Risk Management 

Implement risk management strategies to protect data assets and ensure compliance with data governance standards and regulations. 

The Ideal Candidate

Experience & qualifications 

To be successful in this role you'll need:

A Bachelor's degree in computer science, data science, information technology, or a related field. 

Extensive experience in data management, analytics, or a related field, with a proportion of this in a leadership capacity. 

Proven success in establishing and scaling data functions within organisations with developing data capabilities. 

Experience managing change within complex organisational structures. 

A record of accomplishment of successful portfolio management. 

Knowledge of data governance, security standards, and regulatory compliance. 

Highly developed budgeting and financial analysis skills to ensure projects deliver measurable outcomes. 

Demonstrable success in delivering projects using Agile methodologies (experience with Kanban/SAFe/OKRs is essential). 

A proven ability to drive cultural change and promote data-driven decision-making. 

Highly developed problem-solving skills with a focus on delivering innovative data solutions. 

An exceptional ability to translate complex data concepts for non-technical stakeholders. 

Excellent communication skills for inspiring and influencing at all levels. 

Desirable Skills 

An advanced degree such as an MBA. 

Why Us

We offer an extensive range of career development opportunities and industry-leading rewards, incentives and benefits including: 

Bonus scheme Enhanced holiday entitlement Contributory pension scheme  Access to the Tarmac Reward website with discounts on retailers, holidays, etc.  Access to our Employee Assistance helpline for free and confidential advice  Access to join our Employee Communities inc. LGBTQ+; Working Parents  Training and development opportunities 

This is an exciting opportunity to lead at the forefront of our data transformation, playing a pivotal role in shaping our future. If you are passionate about unlocking the power of data and driving innovation, please apply today.

Tarmac Trading Limited

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.