Senior Manager of Data and Insights - Innovative Global IT Environment (Apply in minutes)

ARM
Cambridge
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Developer

Data Analyst

Project Manager

Defence Digital - Finance Manager

Site Reliability Engineer

Head of CRM & Insights

**Job Overview:**Are you able to shape the way an organisation captures and utilises its datato inspire change?We are seeking an innovative and passionate individual with a track record ofleading a data insights function to join Arms global IT department. Usingyour outstanding visualisation skills, you will be responsible for thereporting and insights function, leading a team of data analysis professionalsto deliver reliable, transparent data insights to the most senior levels ofthe organisation.**Responsibilities:**- Provides robust, reliable, and informative data for key IT decision-making,including operational performance, portfolio performance, headcount data, andmore.- Works with various levels of management and leadership roles to identifybusiness requirements and develop innovative solutions.- Crafts the reporting cycle, ensuring the right data is delivered to theright people, at the right time, to drive insightful decision-making.- Establishes, owns, and evolves the mechanisms to capture, validate, andvisualise data sources.- Leads data analysis and data visualisation professionals, developing theirskills and knowledge and ensuring the team is able to meet the needs of thedepartment.**Required Skills and Experience:**- Sophisticated and extensive experience of data visualisation software -particularly PowerBI.- Good understanding of database management, data processing technologies,and data warehouse design.- Highly-developed presentation skills, comfortable holding the attention ofVP-level partners and above.- Exceptional attention to detail, able to spot to the tiniest flaws that canhave a major impact on data integrity.- Experience in leading data engineering or reporting teams.**“Nice To Have” Skills and Experience:**- Solid understanding of IT Service Management (ITSM) principles, andorPortfolio, Programme, and Project Management.- A degree in Data Science, a related field, or equivalent experience.**In Return:**We offer exciting and interesting work in a diverse team. Arms growthtrajectory will ensure career progression and the opportunity to have asignificant impact on our success.

#LI-JW## **Accommodations at Arm**At Arm, we want our people to **Do Great Things**. If you need support or anaccommodation to **Be Your Brilliant Self** during the recruitment process,please email [](mailto:). To note,by sending us the requested information, you consent to its use by Arm toarrange for appropriate accommodations. All accommodation requests will betreated with confidentiality, and information concerning these requests willonly be disclosed as necessary to provide the accommodation. Although this isnot an exhaustive list, examples of support include breaks between interviews,having documents read aloud or office accessibility. Please email us aboutanything we can do to accommodate you during the recruitment process.## **Hybrid Working at Arm**Arm’s approach to hybrid working is designed to create a working environmentthat supports both high performance and personal wellbeing. We believe inbringing people together face to face to enable us to work at pace, whilstrecognizing the value of flexibility. Within that framework, we empowergroupsteams to determine their own hybrid working patterns, depending on thework and the team’s needs. Details of what this means for each role will beshared upon application. In some cases, the flexibility we can offer islimited by local legal, regulatory, tax, or other considerations, and wherethis is the case, we will collaborate with you to find the best solution.Please talk to us to find out more about what this could look like for you.## **Equal Opportunities at Arm**Arm is an equal opportunity employer, committed to providing an environment ofmutual respect where equal opportunities are available to all applicants andcolleagues. We are a diverse organization of dedicated and innovativeindividuals, and don’t discriminate on the basis of race, color, religion,sex, sexual orientation, gender identity, national origin, disability, orstatus as a protected veteran.

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.

Job-Hunting During Economic Uncertainty: AI Edition

Artificial intelligence (AI) has become a driving force behind modern technology, transforming industries as diverse as finance, healthcare, retail, and manufacturing. From predictive analytics and natural language processing (NLP) to computer vision and generative AI, countless innovations rely on AI algorithms to solve complex problems and create new business opportunities. Despite its enormous potential, however, the AI job market can be impacted by broader economic uncertainties—recessions, investment slowdowns, or shifting corporate priorities—that lead to more selective hiring and tighter budgets. For job seekers in AI, this can mean grappling with fewer open positions, heightened competition, and extended decision-making timelines from employers. Yet, AI also remains integral to the digital future: as companies seek efficiencies through automation, data-driven insights, and sophisticated machine learning, opportunities persist even in a down market. The key is knowing how to stay visible, adaptable, and resilient when the broader environment feels unstable. In this guide, we’ll explore: Why economic volatility influences AI hiring and how this affects your job search. Proven strategies to maintain a competitive edge, even when budgets and roles shrink. Ways to refine your professional profile, emphasise relevant AI skills, and leverage networking effectively. Practical methods to stay motivated and focused, despite possible hiring slowdowns. How www.artificialintelligencejobs.co.uk can serve as your springboard for targeted AI opportunities. By combining foresight, adaptability, and a robust professional brand, you can secure a valuable AI position that propels your career forward—even during periods of economic uncertainty.

How to Achieve Work-Life Balance in AI Jobs: Realistic Strategies and Mental Health Tips

The Artificial Intelligence (AI) sector is evolving at an astonishing speed, reshaping industries that range from healthcare and finance to retail and cybersecurity. This transformation has triggered a massive demand for AI professionals—from machine learning engineers and data scientists to AI ethics specialists. With abundant opportunities and the allure of cutting-edge projects, it’s no surprise that AI is among the most sought-after career paths. Yet, behind the promise of lucrative salaries and pioneering research lies a pressing question: Is it actually feasible to maintain a healthy work-life balance in high-intensity AI roles? In a field known for demanding hours, intricate problem-solving, and perpetual learning curves, the balance between professional success and personal well-being often becomes precarious. In this article, we’ll explore real-world approaches to achieving work-life balance in the AI jobs sector. We’ll discuss why these roles can be stressful, offer realistic expectations for mental health, and provide actionable strategies for setting boundaries that protect both your career trajectory and your peace of mind. Whether you’re a seasoned AI professional or just stepping into this innovative industry, this guide will help you navigate the intensity without sacrificing your overall well-being.

Shifting from Academia to the AI Industry: How Researchers Can Harness Their Skills to Drive Commercial Artificial Intelligence

Artificial intelligence (AI) has advanced from a specialised academic pursuit to a transformative force in almost every sector—from healthcare diagnostics and autonomous vehicles to recommendation systems and creative generative models. As AI technologies continue to grow in complexity and impact, companies are looking for talent that combines deep theoretical knowledge with the ingenuity to solve real-world challenges. Increasingly, PhDs and academic researchers fit this profile perfectly. This guide will help you map out the transition from academia to industry in artificial intelligence. Whether you specialise in reinforcement learning, computer vision, natural language processing, or another AI discipline, you’ll find actionable advice on how to translate your academic strengths, adapt to commercial constraints, and excel in roles where your research insights can revolutionise products, services, and user experiences.