National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Intelligence and Data Engineering Manager (Internal only)

RNLI
Dorset
9 months ago
Applications closed

Related Jobs

View all jobs

Marketing Data Engineer

Data Engineering Manager (f/m/d)

Senior Data Engineer

Data Scientist II, Data Scientist II - AOP Team

Senior Data Engineer

Senior Data Engineer

Internal vacancy The RNLI actively promotes continuous development within the organisation and is only seeking applications from current RNLI employees and volunteers at this time. If this position is not filled internally it may be re-advertised openly. LI-DNI The Role: As the Business Intelligence and Data Engineering Manager, you will be responsible for defining and leading our BI & data engineering and power platform team. You will build a catalogue of stable and reusable integrations and data pipelines alongside curating trusted data sets for self-service data and insight. You will enhance and promote DataOps working methods in the right places and inspire others across the institution to care about their data. Key Responsibilities: Inspire, lead, and develop a team of power platform, Business Intelligence (BI), and data engineering specialists. Advocate for the power of good data management and demonstrate the benefit of good quality information flow in decision-making. Act as a data ambassador, educating and influencing at all levels to support the RNLI on its journey to being increasingly data-informed. Lead the ongoing development and enhancement of our data lakehouse architecture. Manage related suppliers and contracts and establish strong relationships with partners. Drive improved data quality in new and existing data services, ensuring relevant legislation is considered at every stage. Support implementing the RNLI’s data strategy. Implement and monitor data pipelines, ETL processes, and data orchestration solutions. Ensure the scalability, reliability, and performance of data infrastructure. About You: You will have significant hands-on experience with data solution design, service or product development, and production implementation. You have previously managed Data Engineering, BI, and/or data teams. You understand the value of good data and want users to have the best experience that our data can provide. You are looking for an opportunity to use your drive to improve things where it will count in our mission of saving lives. Qualifications and Experience: Degree or equivalent qualifications/experience in IT or Data related discipline. Experience in managing Business Intelligence and/or specialist data teams. Experience working with traditional and more iterative/agile development methodologies. Experience in managing 3rd party delivery and building successful delivery partnerships. Safeguarding The RNLI is committed to safeguarding; protecting a person’s health, wellbeing, and human rights, enabling them to live free from harm, abuse, and neglect. We expect all employees and volunteers to share this commitment and have a zero-tolerance approach. The suitability of all prospective employees and volunteers will be assessed during the recruitment process in line with this commitment. This will include relevant criminal record checks being carried out dependent on the eligibility of the role. (England & Wales; DBS check, Scotland; Disclosure Scotland PVG, Northern Ireland; Access NI, Republic of Ireland; Garda Vetting; International, International Child Protection Certificate process). Diversity at the RNLI Our staff and volunteers have been saving lives at sea without prejudice for nearly 200 years. We respect and value diversity of background, skills and perspectives within our teams, and consider it essential to help us deliver a world-class lifesaving service. We are an inclusive organisation and welcome applications from everyone. In addition to having the skills needed for the role, we also look for applicants who share our commitment to living our RNLI values (trustworthy, courageous, selfless, and dependable), and helping us work towards Our Vision: To save Every One.

National AI Awards 2025

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 to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.