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3 дня назад

Associate Delivery Manager (Life Sciences)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Associate Delivery Manager (Life Sciences): Overseeing end-to-end project delivery for the Mainsail™ commercial excellence platform with an accent on leading cross-functional teams and ensuring timely, high-quality client implementations. Focus on translating client business needs into technical requirements, managing project scope, and ensuring compliance with life sciences regulations.

Location: Hybrid, Hyderabad, Telangana, India

Company

hirify.global helps life sciences companies optimize commercialization through strategic insight, advanced analytics, and proprietary technology solutions like Mainsail™.

What you will do

  • Own the delivery lifecycle from requirement gathering through release across Mainsail modules.
  • Act as the primary liaison between clients, internal delivery, and engineering teams.
  • Manage project scope, timelines, resource allocation, and risk mitigation across all active delivery projects.
  • Translate client business needs into technical requirements, ensuring alignment with Mainsail’s configurable architecture.
  • Drive adoption of tools and best practices for project tracking.
  • Ensure compliance with regulatory and data privacy requirements typical in life sciences.

Requirements

  • 7+ years in technical delivery or software development, with at least 2–3 years as Delivery Manager or equivalent.
  • Strong background in Web Technologies (HTML5, JavaScript frameworks, and SQL Server).
  • Experience in SaaS product delivery, ideally in the life sciences or healthcare domain.
  • Excellent communication, stakeholder management, and leadership skills.

Culture & Benefits

  • Join a highly collaborative, values-driven team.
  • Focus on technical excellence, analytical rigor, and personal growth.
  • Opportunity to make an impact in AI innovation, commercialization strategies, or data-first solutions in life sciences.
  • AI tools may be used to support parts of the hiring process, but human judgment makes final decisions.

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