Senior Director, Data Science

Terex
Dungannon
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Director Artificial Intelligence/Machine Learning

Principal Data Scientist

Associate Director, Data Science and Innovation

Senior Data Scientist - Growth & Retention

Senior Recruiter

Senior Credit Risk Analyst - Consumer Lending / Loans

Description

:

Title: Sr Director, Data Science

Reports to: VP, IT Platforms and Applications

Location: UK

Position Overview:

The Senior Director, Data Science is responsible for leading the data science strategy and associated technology initiatives across the enterprise.

This is a great opportunity to play a significant role in digital transformation at Terex by overseeing the architecture of data pipelines and platforms to ensure performance, scalability, and security, and leading the development and deployment of scalable AI models, predictive analytics, and machine learning solutions. The successful candidate will have a strong background in data science, leadership capabilities, and a passion for leveraging data to drive business decisions, improve customer experiences, and enhance operational efficiencies.

Key Responsibilities:

Strategy: Develop and implement the data science strategy in alignment with our digital transformation goals. Identify and prioritize data initiatives that drive innovation and competitive advantage. Stay abreast of industry trends, emerging technologies, and best practices to inform strategic planning.

Leadership: Lead, mentor, and develop teams fostering a culture of collaboration and continuous improvement. Provide direction and support to ensure the successful execution of digital transformation initiatives.

Digital Transformation: Drive digital transformation initiatives by leveraging advanced data science capabilities, machine learning, and AI to optimize business processes and enhance customer experiences.

Advanced Analytics & Data-Driven Insights: Utilize advanced analytics to generate actionable insights, support decision-making, and identify opportunities for business growth. Develop and deploy predictive models to support various business functions.

Data Governance: Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management practices, including data collection, storage, and analysis.

Collaboration: Work closely with cross-functional teams to integrate data science solutions across the organization.

Innovation: Stay abreast of industry trends, emerging technologies, and best practices in data science and digital transformation to continually enhance the organization's capabilities.

Project Management: Drive data science projects from inception to completion, ensuring they meet business objectives and are delivered on time and within budget.

Required Qualifications:

Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.

10+ years of experience in data science, with at least 5 years in a leadership role. Proven track record of driving digital transformation initiatives.

Proficiency in data warehouse platforms (e.g. AWS Redshift), business intelligence platforms (e.g. Qlik), data science tools & programming languages (e.g. Python, SQL).

Experience with AI, machine learning frameworks and integrating large language models into AI-powered applications (e.g. Palantir AIP).

Strong analytical and problem-solving skills. Ability to translate complex data into actionable insights.

Demonstrated leadership abilities with experience managing and mentoring teams.

Excellent verbal and written communication skills. Ability to effectively communicate technical concepts to non-technical stakeholders.

Experience in facilitating change, including collaboration with senior-level stakeholders.

Proven internal and external influencing skills at senior and executive management levels.

Working knowledge of data structures of various ERP, PLM, MES, CRM and eCommerce platforms.

Preferred Qualifications:

Working knowledge and previous use of strategic planning tools and execution, especially in the areas of large-scale change and business process re-engineering.

Experience in a large, complex, industrial B2B or technology company

Why Join Us

We are a global company, and our culture is defined by ourValues— Integrity, Respect, Improvement, Servant Leadership, Courage, and Citizenship. Check out this video!

Safetyis an absolute way of life. We expect all team members to prioritize safety and commit to Zero Harm.

Our top priority is creating aninclusiveenvironment where every team member feels safe, supported, and valued.

We make a positive impact by providing innovative solutions, engaging our people, and operating in asustainableway.

We arecommitted to helping team membersreach their full potential.

Throughinnovationand collaboration, our vision remains forward-looking, and we aim to be a catalyst for change, inspiring others to build a better world for generations.

We offer competitive salaries, Team Member bonus of 25%, private healthcare, car allowance, pension, life assurance, LinkedIn Learning, on site free parking, perks discount card,

For more information on why Terex is a great place to work click on the link!

Travel:

Estimated 30% travel, both domestic and international.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.