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Tier-1 employer, mid-level generalist Scrum role, metro/hybrid location and broad Agile skills raise applicant competition.
Agile delivery skills are transferable, but preference for data/AI and life‑sciences increases domain specificity.
Explicit 5+ years requirement, Jira/Confluence expertise, and domain delivery experience create moderate hiring filters.
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Lead Agile delivery for data, analytics, and AI initiatives within Commercial Data and AI teams, facilitating Scrum ceremonies and backlog management.
Manage Agile tools and reporting (Jira, Confluence) to track delivery metrics, dependencies, risks, and transparently communicate with stakeholders and leadership.
Coach teams on Agile practices, improve delivery processes, resolve impediments, and support multiple service and application teams in a matrixed environment.
Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, or related field; MBA or advanced degree preferred.
5+ years experience as Scrum Master, Agile Project Manager, or Agile delivery lead; 7+ years preferred.
Strong expertise in Agile frameworks (Scrum, Kanban, SAFe), Jira administration, and Confluence usage for Agile delivery.
Experience supporting technology delivery teams in data, analytics, AI, or related domains; prior Commercial Data or Life Sciences domain experience preferred; onsite work requirements not explicitly stated.
Experienced in managing complex Agile delivery across multiple teams in fast-paced, global matrixed environments, particularly in data/AI technology contexts.
Skilled in advanced Agile tool administration (Jira, Confluence) and translating delivery data into business-relevant metrics and leadership communications.
Proven ability to lead cross-functional collaboration among product managers, technical managers, vendors, and stakeholders to ensure quality outcomes and process improvements.