ClarusONE Sourcing Services, LLP, 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. They have more than two decades of history working together to improve the quality and lower the cost of pharmaceutical care to patients.
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.
Job Title: Head of Data Engineering
Location: London, United Kingdom
Level: M3
Reports to: Senior Director, Technology & Analytics
Contract: Fixed term contract
The highly competitive US generic pharmaceutical sector continues to challenge every element of the supply chain. In this constantly changing environment, patients can be served through multiple channels in new & different ways, whilst those that dispense prescriptions, the wholesale distributors that supply them and manufacturers all have to react and respond to how the sector is evolving, which is also heavily influenced by payers, regulatory bodies and federal & state law. To succeed in this environment requires organisations to adapt and change and, at ClarusONE, we play a key role in working alongside multiple stakeholders to deliver the most efficient supply chain model whilst generating value for our Members, their customers and patients through innovative sourcing solutions.
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. ClarusONE captures and hosts data for both Members, and therefore data sensitivity and strict data sharing principles are critical to manage. 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 recommendation to various level in the organization.
Required Education / Experience
- 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
Preferred Experience
- 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
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