At a Glance
- Tasks: Lead global Business Intelligence teams and drive data strategy across multiple regions.
- Company: Convatec is a leading global medical products company focused on chronic condition management.
- Benefits: Enjoy opportunities for growth, remote work options, and a supportive, innovative culture.
- Why this job: Join a dynamic team transforming healthcare with cutting-edge data solutions and impactful projects.
- Qualifications: 10+ years in Business Intelligence, with leadership experience in global organisations required.
- Other info: Occasional international travel may be necessary; embrace the chance to drive your own growth.
The predicted salary is between 43200 - 72000 £ per year.
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Head of Data Engineering & Insight, London
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Client:
ConvaTec
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
f5831c6677ae
Job Views:
11
Posted:
12.07.2025
Expiry Date:
26.08.2025
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Job Description:
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:
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Lead the global BI organisation across APAC, EMEA, and the AMERICAS, with direct accountability for strategy, governance, performance, and delivery.
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Define, evolve and execute the global BI roadmap in line with our overall technology strategy and business imperatives.
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Oversee the transition and integration from legacy BI platforms to the Next Generation BI ecosystem.
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Ensure robust data governance, including a centralised data catalogue, data quality, compliance, and access management.
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Manage global teams across Data Engineering, Reporting, Data Governance, and Advanced Analytics, fostering an agile, value-driven, and innovation-focused culture.
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Collaborate with business and IT stakeholders (Data Owners, Product Owners, Business Leaders) to position data as a core strategic asset.
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Oversee BI delivery KPIs, service performance and budgets, ensuring high quality of service and alignment with organisational goals.
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Promote a data-driven culture through the adoption of self-service BI and automated reporting/dashboards.
Skills & Experience:
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At least 10 years’ experience in Business Intelligence, with 5+ years in a BI leadership role in a global or matrixed organisation.
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Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing).
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Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP).
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Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics.
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Excellent leadership and team management skills across distributed and cross-functional teams.
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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:
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Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4
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Data Lake & Storage: Databricks Delta Lake, Amazon S3
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Data Transformation: dbt Cloud
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Data Warehouse: Snowflake
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Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API
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Advanced Analytics: Databricks (AI & Machine Learning)
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Governance & Infrastructure:Centralised Data Catalogue & Access Control (Okta)
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Job Scheduling & Monitoring (AWS, Splunk)
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Agile Data Engineering with centralised code repositories
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BI Data Portal: Power BI
Howeverthiscoexistswith a legacytechstack, whichtheHead of Data Engineering & Insight will support thetransitiontothenewarchitecturealready in place.
Qualifications/Education:
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Degree in Computer Science, Data, Engineering or equivalent.
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Certifications such as Azure Data Engineer, AWS Big Data, SAFe, or PMP are a plus.
Team:
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2-3directreports
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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’ll move you.
#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.
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Head of Data Engineering & Insight (London) employer: Convatec
Contact Detail:
Convatec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering & Insight (London)
✨Tip Number 1
Familiarise yourself with the latest trends in Business Intelligence and data engineering. Understanding the technologies mentioned in the job description, like Azure, AWS, and Databricks, will help you speak confidently about your expertise during interviews.
✨Tip Number 2
Network with professionals in the BI field, especially those who have experience in global organisations. Attend industry events or webinars to connect with potential colleagues or mentors who can provide insights into the company culture at Convatec.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully managed cross-functional teams in the past. Highlight specific examples where you've driven change or improved processes, as this role requires strong team management skills.
✨Tip Number 4
Research Convatec's mission and values thoroughly. Be ready to articulate how your personal values align with their commitment to 'Forever Caring' and how you can contribute to their digital transformation journey.
We think you need these skills to ace Head of Data Engineering & Insight (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Head of Data Engineering & Insight position. Understand the key responsibilities and required skills, as this will help you tailor your application.
Tailor Your CV: Customise your CV to highlight relevant experience in Business Intelligence and leadership roles. Emphasise your expertise in modern BI architecture and cloud-based analytics platforms, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific needs of Convatec. Mention your experience with data governance and your ability to lead global teams, showcasing how you can contribute to their mission.
Highlight Relevant Achievements: In both your CV and cover letter, include specific examples of past achievements that demonstrate your capability in managing BI projects and leading teams. Use metrics where possible to quantify your impact.
How to prepare for a job interview at Convatec
✨Understand the Company and Its Mission
Before your interview, take some time to research ConvaTec's mission and values. Understanding their focus on chronic condition management and their commitment to innovation will help you align your answers with their goals.
✨Showcase Your Leadership Experience
As a Head of Data Engineering & Insight, you'll need to demonstrate strong leadership skills. Prepare examples from your past roles where you've successfully led teams, managed projects, or implemented strategic initiatives in a global context.
✨Familiarise Yourself with Relevant Technologies
Make sure you're well-versed in the technologies mentioned in the job description, such as Azure, AWS, Databricks, and Power BI. Be ready to discuss your experience with these tools and how they can be leveraged to enhance ConvaTec's BI capabilities.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and decision-making skills. Think about challenges you've faced in previous roles, particularly in data governance and BI delivery, and how you overcame them.