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 remote work, career growth, and a supportive culture.
- Why this job: Join a dynamic team transforming healthcare through innovative data solutions.
- Qualifications: 10+ years in Business Intelligence with leadership experience in a global setting required.
- Other info: Occasional international travel may be necessary; embrace the chance to grow your career.
The predicted salary is between 54000 - 84000 £ per year.
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 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 work within 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
However this coexists with a legacy tech stack , which theHead of Data Engineering & Insight will support the transition to the new architecture already 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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2-3 direct reports
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8-10 indirect reports
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.
Notice to Agency and Search Firm Representatives
Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.
Already a Convatec employee?
If you are an active employee at Convatec, please do not apply here. Go to the Career Worklet on your Workday home page and View \”Convatec Internal Career Site – Find Jobs\”. Thank you!
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Head of Data Engineering & Insight employer: ConvaTec Inc.
Contact Detail:
ConvaTec Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering & Insight
✨Tip Number 1
Familiarise yourself with Convatec's mission and values, especially their focus on chronic conditions and patient outcomes. This understanding will help you align your experience and vision with their goals during discussions.
✨Tip Number 2
Highlight your experience with cloud-based analytics platforms like Azure, AWS, or GCP in conversations. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this is crucial for the role.
✨Tip Number 3
Demonstrate your leadership skills by sharing examples of how you've managed cross-functional teams in a global setting. Emphasise your ability to foster an agile and innovative culture, which is key for the Head of Data Engineering & Insight position.
✨Tip Number 4
Prepare to discuss your approach to data governance and compliance. Given the importance of these areas in the job description, showcasing your strategies for ensuring data quality and security will set you apart from other candidates.
We think you need these skills to ace Head of Data Engineering & Insight
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Head of Data Engineering & Insight position. Tailor your application to highlight how your experience aligns with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 10+ years in Business Intelligence, particularly your leadership roles. Mention specific projects or achievements that demonstrate your expertise in modern BI architecture and cloud-based analytics platforms.
Showcase Leadership Skills: Convatec is looking for strong leadership abilities. Use examples from your past experiences to illustrate how you've successfully managed teams, fostered a data-driven culture, and engaged with both technical and non-technical stakeholders.
Craft a Compelling Cover Letter: Your cover letter should not only express your interest in the role but also convey your passion for data and its impact on patient outcomes. Make it personal and connect your values with Convatec's mission of 'Forever Caring'.
How to prepare for a job interview at ConvaTec Inc.
✨Understand the Company and Its Mission
Before your interview, take some time to research Convatec's mission and values. Familiarise yourself with their focus on chronic conditions and how they aim to improve patient outcomes. This will help you align your answers with their goals and demonstrate your genuine interest in the company.
✨Showcase Your Leadership Experience
As a Head of Data Engineering & Insight, you'll need to lead global teams. Be prepared to discuss your previous leadership roles, focusing on how you've managed cross-functional teams and driven successful projects. Use specific examples to illustrate your ability to foster an agile and innovative culture.
✨Highlight Technical Expertise
Given the technical nature of this role, ensure you can speak confidently about modern BI architecture, cloud-based analytics platforms, and data governance. Prepare to discuss your experience with tools like Azure, AWS, and Databricks, as well as any relevant certifications you hold.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in previous roles, particularly related to data integration or governance, and be ready to explain how you approached these situations and what the outcomes were.