Dionne Hairsine

Senior Delivery Manager at Semble

Dionne Hairsine has a diverse work experience spanning various roles in project management and Agile delivery. Dionne is currently working as a Senior Delivery Manager at Semble, where they focus on improving healthcare through streamlining patient engagement and leveraging data. Prior to their current role, Dionne worked as a Senior Scrum Master at ClearBank, driving incremental value delivery and creating an efficient working environment for engineering teams. Dionne also served as an Engineering/Agile Delivery Manager at Bookatable by TheFork, managing a team of 8 and ensuring the successful delivery of projects. Dionne has experience in the technology industry, having worked as a Project Manager/Scrum Master at Amido and a Scrum Master/Team Leader at Markerstudy Insurance. Dionne has also held positions at Chaucer Insurance and Seafrance Limited, where they served in project management and IT roles. Overall, Dionne has a strong background in Agile methodologies, project management, and team leadership.

Dionne Hairsine attended Dover Grammar School for Girls from 1985 to 1992. During this time, no specific degree or field of study is provided. Following their secondary education, they enrolled at Nottingham Trent University from 1992 to 1995 and obtained a Bachelor of Arts degree with Honors in Communication and Media Studies.

In terms of additional certifications, Dionne Hairsine completed the following:

1. "Becoming an Agile Coach" from LinkedIn in October 2020.

2. "The Six Morning Habits of High Performers" from LinkedIn in July 2020.

3. "SAFe® 4 Certified Agilist" from Scaled Agile, Inc. in February 2018.

4. "Scrum Master Certified (SMC)" from agil8 in September 2015.

Location

Colchester, United Kingdom

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Semble

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Healthcare businesses of all sizes, from individual clinicians to large enterprises, use Semble’s software and APIs to manage every aspect of their practice. Our vision is to empower health professionals in their daily work to continuously improve the quality of their care delivery. In this process, we aim to learn from medical data to further benefit health professionals, patients and clinical research.


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51-200

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