Senior Project Manager

Overview:A forward-thinking organization is seeking a Senior Project Manager to lead a portfolio of strategic business, technology, and data initiatives most notably, a flagship program to establish the foundational architecture for an enterprise data lake. This is an exciting opportunity for a strategic yet delivery-focused professional with experience operating across both structured and agile environments.

• Lead the end-to-end delivery of complex, cross-functional projects spanning data architecture, analytics platforms, and digital transformation.

• Drive the design and implementation of an enterprise-grade data lake, including aligning stakeholders, coordinating external vendors, and overseeing technical delivery.

• Work closely with data engineers, architects, and business analysts to define and deliver scalable data and technology solutions.

• Manage project scope, timelines, budgets, dependencies, and risks across multiple workstreams.

• Promote and embed Agile, Scrum, and DevOps practices while adapting project delivery methods to suit business needs.

• Facilitate key ceremonies and engagements including workshops, daily stand-ups, retrospectives, and steering committee meetings.

• Ensure projects align with strategic goals, industry best practices, and relevant compliance or regulatory frameworks.

• Demonstrated success in delivering complex data and technology projects-ideally within regulated or data-driven sectors such as life sciences, healthcare, pharma or research.

• Deep understanding of modern data architecture, including data lakes, cloud platforms (e.g., AWS, Azure), and data governance principles.

• Proven expertise in Agile, Scrum, and DevOps delivery frameworks, with a flexible and pragmatic approach.

• Exceptional stakeholder management and communication skills, with the ability to influence at all levels.

• Comfortable working across technical and non-technical teams, translating business requirements into actionable delivery plans.

• Proficiency with project and collaboration tools such as Jira, Confluence, MS Project, or similar.

• Familiarity with environments involving biomedical research, translational science, or complex scientific data.

• Understanding of modern data architectures such as data mesh or data lakehouse concepts.

• Professional certifications such as Agile Scrum Master, SAFe, PMP, or Prince2.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.