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

Nominate & Attend

Head of Data Engineering & Insight

ConvaTec
London
4 days ago
Create job alert

Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in advanced wound care, ostomy care, continence care, and infusion care. With
around 10,000 colleagues, we provide our products and services in almost 100 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Group revenues in 2023 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more about Convatec, please visit

Our search for better is changing the lives of our customers. It’s changing the careers of our people too – creating new challenges and opportunities all the time. We’re a business that never stands still. Join us on our journey to #ForeverCaring as a Head of Data Engineering & Insight, and you won’t either.

As part of our accelerated digital transformation and the implementation of our new Next Generation BI platform, we are looking for a Head of Data Engineering & Insight to lead our global Business Intelligence organisation. This key leadership role is aligned with our strategy – a modular, cloud-native data-centric architecture designed to democratise data access, strengthen governance, and maximise business value. 

Key Responsibilities: 

Lead the global BI organisation across APAC, EMEA, and the AMERICAS, with direct accountability for strategy, governance, performance, and delivery.

Define, evolve and execute the global BI roadmap in line with our overall technology strategy and business imperatives.

Oversee the transition and integration from legacy BI platforms to the Next Generation BI ecosystem.

Ensure robust data governance, including a centralised data catalogue, data quality, compliance, and access management.

Manage global teams across Data Engineering, Reporting, Data Governance, and Advanced Analytics, fostering an agile, value-driven, and innovation-focused culture.

Collaborate with business and IT stakeholders (Data Owners, Product Owners, Business Leaders) to position data as a core strategic asset.

Oversee BI delivery KPIs, service performance and budgets, ensuring high quality of service and alignment with organisational goals.

Promote a data-driven culture through the adoption of self-service BI and automated reporting/dashboards.

Skills & Experience: 

At least 10 years’ experience in Business Intelligence, with 5+ years in a BI leadership role in a global or matrixed organisation.

Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing).

Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP).

Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics.

Excellent leadership and team management skills across distributed and cross-functional teams.

Strong communication and change management skills, with the ability to engage technical and non-technical stakeholders alike.

The Head of Data Engineering & Insight will workwithin a modern, cloud-based BI ecosystem, including: 

Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4

Data Lake & Storage: Databricks Delta Lake, Amazon S3

Data Transformation: dbt Cloud

Data Warehouse: Snowflake

Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API 

Advanced Analytics: Databricks (AI & Machine Learning) 

Governance & Infrastructure:Centralised Data Catalogue & Access Control (Okta)

Job Scheduling & Monitoring (AWS, Splunk)

Agile Data Engineering with centralised code repositories

BI Data Portal: Power BI

Howeverthiscoexistswith a legacytechstack, whichtheHead of Data Engineering & Insight will support thetransitiontothenewarchitecturealready in place. 

Qualifications/Education:

Degree in Computer Science, Data, Engineering or equivalent.

Certifications such as Azure Data Engineer, AWS Big Data, SAFe, or PMP are a plus.

Team:

2-3directreports

8-10indirectreports

Travel Requirements :

Occasional international travel required 

Our progress will give you countless opportunities to move forward too. Seek out new challenges, and you’ll find them. Stretch your thinking, and you’ll find new ways to make an impact. And if you embrace the opportunity to drive your own growth, you could go further, and achieve more, than ever before.

This is a big step forward.

This is work that’llmoveyou.

#LI-AC2

#LI-Remote

Beware of scams online or from individuals claiming to represent Convatec

A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address.

If you receive a suspicious approach over social media, text message, email or phone call about recruitment at Convatec, do not disclose any personal information or pay any fees whatsoever. If you’re unsure, please contact us at .

Equal opportunities

Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.

Related Jobs

View all jobs

Head of Data Engineering & Insight

Head of Data Engineering & Insight

Head of Data Engineering...

Head of Data Engineering - FT - Relocate to Philippines

Head of Data Engineering - FT - Relocate to Philippines

Head of Data Engineering - FT - Relocate to Philippines

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 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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.