Job
Description
As the Director of Delivery, you will play a crucial role in leading and expanding Elucidatas" delivery function focused on complex, high-impact data and AI/ML projects within the pharma and biotech industries. Your primary responsibility will be to ensure the timely and high-quality execution of customer engagements and internal programs, while also establishing the operational capabilities necessary to support growth and scalability. Bringing deep expertise in life sciences or healthcare, you should possess a solid understanding of the end-to-end data lifecycle in pharma/biotech R&D. Your proven track record in leading multidisciplinary delivery teams and operations will be essential in driving success in this role. Your key responsibilities will include strategic delivery leadership, where you will oversee the entire delivery process for customer programs to ensure alignment with objectives, timelines, and quality standards. You will establish project governance structures, cadence, and execution mechanisms while also serving as the escalation point for any delivery-related risks, delays, or resourcing issues. Furthermore, you will actively engage with stakeholders from Solutions, Product, and Commercial teams to align delivery with strategic account plans. Building and leading a high-performing team comprising Data Engineers, Data Scientists, and Project Leads will be a crucial aspect of your role. By implementing delivery best practices, KPIs, dashboards, and quality control frameworks, you will ensure the consistent and effective execution of projects. Additionally, you will collaborate cross-functionally with Product & Engineering teams to provide feedback for the product roadmap. Working closely with Revenue Ops and Finance, you will manage resourcing plans, utilization, and profitability of delivery programs. The ideal candidate should have at least 10 years of experience in delivery, operations, or program management within the pharma, biotech, or healthcare sectors. Demonstrated leadership experience in domains such as bioinformatics, data engineering, and analytics is essential, along with a deep understanding of biomedical data. Strong stakeholder management skills and the ability to manage complex programs under tight timelines are also key qualifications. Preferred qualifications include a Masters degree or PhD in a relevant technical field, prior experience in pharma/biotech R&D or healthcare data vendors, familiarity with AI/ML applications in life sciences, and experience in scaling delivery functions in a SaaS or tech-enabled services business. Join us in this exciting opportunity to be part of a growing startup that is revolutionizing how biomedical data is leveraged to drive innovation in the industry.,