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- Tasks: Lead global Business Intelligence teams and oversee data governance and analytics.
- Company: Convatec is a leading medical products company focused on chronic condition management.
- Benefits: Enjoy opportunities for growth, remote work options, and a supportive culture.
- Why this job: Join a dynamic team driving digital transformation and making a real impact in healthcare.
- Qualifications: 10+ years in Business Intelligence with leadership experience; degree in Computer Science or related field.
- Other info: Occasional international travel required; embrace challenges and drive your own growth.
The predicted salary is between 42000 - 84000 £ per year.
Convatec Paddington, England, United Kingdom
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Convatec Paddington, England, United Kingdom
Join to apply for the Data Engineering & Insight Lead role at Convatec
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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 http://www.convatecgroup.com
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 Data Engineering & Insight Lead 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 Data Engineering & Insight Lead will work within 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
However this coexists with a legacy tech stack, which the Head of Data Engineering & Insight will support the transition to the new architecture already 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:
- 2-3 direct reports
- 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.
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 careers@Convatec.com.
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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Seniority level
Executive
Employment type
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Employment type
Full-time
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Information Technology
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Industries
Medical Equipment Manufacturing
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Data Engineering & Insight Lead employer: Convatec
Contact Detail:
Convatec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering & Insight Lead
✨Tip Number 1
Familiarise yourself with the latest trends in Business Intelligence and data engineering. Understanding modern BI architecture, especially cloud-based solutions like Azure or AWS, will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the field of data engineering and business intelligence. Attend industry events or webinars to connect with potential colleagues at Convatec and gain insights into their company culture and expectations.
✨Tip Number 3
Prepare to discuss your leadership experience in managing global teams. Highlight specific examples where you've successfully driven change or implemented new technologies, as this role requires strong team management skills.
✨Tip Number 4
Showcase your ability to promote a data-driven culture within an organisation. Be ready to share strategies you've used to encourage self-service BI and automated reporting, as these are key aspects of the role at Convatec.
We think you need these skills to ace Data Engineering & Insight Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you thoroughly understand the responsibilities and requirements of the Data Engineering & Insight Lead position. Tailor your application to highlight relevant experience in Business Intelligence and leadership.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 10+ years of experience in Business Intelligence, particularly any leadership roles. Mention specific projects or achievements that demonstrate your expertise in modern BI architecture and cloud-based analytics platforms.
Showcase Leadership Skills: Since this role involves managing global teams, be sure to illustrate your leadership and team management skills. Provide examples of how you've fostered a collaborative culture and driven innovation in previous positions.
Craft a Compelling Cover Letter: Your cover letter should not only express your interest in the role but also connect your background to Convatec's mission of 'Forever Caring'. Discuss how your skills can contribute to their digital transformation and data-driven culture.
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 Technical Expertise
Be prepared to discuss your experience with modern BI architecture and cloud-based analytics platforms. Highlight specific projects where you've successfully implemented data governance and self-service analytics, as these are crucial for the role.
✨Demonstrate Leadership Skills
As a Data Engineering & Insight Lead, you'll need strong leadership abilities. Share examples of how you've managed cross-functional teams and fostered a culture of innovation and agility in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Prepare scenarios where you've had to navigate challenges in data integration or governance, and explain how you achieved successful outcomes.
