At a Glance
- Tasks: Lead the design and development of data infrastructure for innovative pharmaceutical services.
- Company: Join McKesson ClarusONE, a joint venture with Walmart, transforming healthcare access.
- Benefits: Competitive salary, career growth, and the chance to make a real impact.
- Why this job: Shape the future of healthcare by leveraging data to improve patient access to affordable medicines.
- Qualifications: 8-10 years in data engineering, team management, and expertise in cloud platforms.
- Other info: Dynamic environment with opportunities to innovate and influence healthcare solutions.
The predicted salary is between 54000 - 84000 £ per year.
Join to apply for the Head of Data Engineering role at McKesson ClarusONE Sourcing Services, LLP, which provides strategic generic pharmaceutical services for both Walmart Stores, Inc. and McKesson Corporation. Its mission is to enable access to affordable medicines, which it has successfully been doing since its inception in 2016. ClarusONE is a joint venture between Walmart and McKesson, two of the top 10 biggest corporations in the USA, according to the Fortune 500 list.
The environment in which ClarusONE operates constantly requires the organisation to adapt and change, seeking greater efficiency in how it works through improved process, data and insight-led decisioning, technology innovation and new ways of working. Delivering these changes with discipline and rigour will ensure that they land with maximum impact, delivering for our Members and for the patients that they serve. ClarusONE Sourcing Services is headquartered in London and prides itself on its can-do attitude that has ensured millions of Americans pay less when buying generic pharmaceuticals every day.
The Head of Data Engineering is responsible for leading the design, development, and maintenance of ClarusONE’s data infrastructure. This includes building scalable data pipelines, ensuring data quality and governance, and enabling seamless integration across multiple platforms. The role also involves managing a team of engineers, setting technical standards, and collaborating with Technology, Product, Analytics, and business stakeholders to deliver reliable and efficient data solutions.
This role requires strong management skills, with technical expertise in cloud platforms (AWS, Azure, GCP), big data technologies (Spark, Hadoop), and contemporary programming languages (Python). Proven database architecture and infrastructure experience, both data modelling and ETL, with the ability to define and execute a long-term data architecture vision and lead it through, is key.
Responsibilities:- Day to day team management.
- Coach and develop a team of Data Engineers and Senior Data Engineers.
- Lead data engineering and data governance across ClarusONE.
- Support key business objectives by designing scalable data pipelines, managing data infrastructure, and ensuring data quality and governance.
- Champion the use of data to support sourcing strategies while examining market channels and exploring innovative new data opportunities.
- Own the ClarusONE data stack, working directly with Product, Technology and Analytics Directors to embed data-led decisioning across the various stakeholder teams (internal and external to ClarusONE).
- Be an advocate and champion of the ClarusONE data and information assets.
- Maintain a robust, compliant and performant data infrastructure including processes, people, and platforms.
- Maintain SOX compliant documentation and support all SOX related activities and audit.
- Recommend process changes to achieve minimal error rates.
- Track errors and improve process efficiencies.
- Communicate to and influence other internal teams diplomatically to enforce deadlines.
- Present and defend complex data processes, initiatives and recommendations to various levels in the organization.
- Bachelor’s degree level or above.
- 8–10 years’ experience in a data engineering function.
- Demonstrated experience in managing a team.
- Proven expertise in cloud data platforms and contemporary data programming languages.
- Proven database architecture and infrastructure experience.
- Proven ability to lead a team to achieve goals by focusing on results.
- Strong communication skills to translate technical data concepts into business language for senior leadership and non-technical teams.
- Exceptional organizational and project management skills using a consultative approach.
- Time management skills, including ability to organize and prioritize work to meet critical deadlines with high accuracy.
- Demonstrated ability to develop strategic and tactical plans as well as creative problem-solving capabilities.
- Extreme attention to detail and follow-through.
- Experience in the healthcare field, preferably in generic pharmaceuticals (sales, purchasing, or distribution).
- Proven track record of project, process, and relationship management; contract and administration management; and independent problem solving and decision making.
- Comfortable with ambiguity.
Head of Data Engineering in City of London employer: McKesson
Contact Detail:
McKesson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to McKesson or ClarusONE. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Prepare for the interview by diving deep into data engineering trends and challenges in the pharmaceutical sector. Show them you’re not just a tech whiz but also someone who understands their mission to improve patient care through data.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've led teams and tackled complex data projects. This will help you connect your experience with what they need in the Head of Data Engineering role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at ClarusONE.
We think you need these skills to ace Head of Data Engineering in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Data Engineering role. Highlight your experience with cloud platforms, big data technologies, and team management. We want to see how your skills align with what ClarusONE is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background in data engineering can help ClarusONE achieve its mission. Keep it engaging and relevant!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use specific examples to demonstrate how you've improved processes or led successful projects in your previous roles. We love seeing results!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re keen on joining our team at ClarusONE!
How to prepare for a job interview at McKesson
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends and technologies, especially those mentioned in the job description like AWS, Azure, and big data tools. Brush up on your knowledge of data governance and quality management, as these are crucial for the role.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to discuss your leadership style and how you've successfully coached and developed teams in the past. Share specific examples of how you’ve led projects or initiatives that resulted in improved data processes or efficiencies.
✨Communicate Clearly and Effectively
Practice translating complex technical concepts into simple terms. You’ll need to communicate with both technical and non-technical stakeholders, so being able to articulate your ideas clearly will set you apart. Think about how you can demonstrate this during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data infrastructure or team management. Prepare by thinking through potential challenges you might face in the role and how you would address them, particularly in a fast-paced environment like ClarusONE.