Job Title

Responsibilities: We are seeking a self-driven Project Manager to join our dynamic team of data scientists and software engineers. In this role, you will be responsible for overseeing the execution of data-driven projects that leverage advanced analytics, business intelligence, and reporting solutions to support key business objectives. You will work closely with stakeholders, project teams, and senior leadership to ensure that projects are delivered on time, within scope, and meet the desired business outcomes. Key responsibilities include: Project Management: Lead the planning, execution, and delivery of analytics projects, ensuring the efficient allocation of resources, adherence to timelines, and alignment with business priorities. Stakeholder Collaboration: Engage with business leaders and cross-functional teams to define project requirements, goals, and KPIs, translating them into clear and actionable analytics solutions. Data Strategy: Collaborate with data scientists, data engineers, and analysts to develop data models, dashboards, and reports that provide actionable insights and drive business decisions. Reporting & Communication: Provide regular updates on project status, risks, and key deliverables to stakeholders and senior management, ensuring alignment with strategic objectives. DevOps Methodologies: Implement and manage DevOps frameworks to support iterative project development, ensuring continuous delivery and improvement of analytics solutions. Quality Assurance: Ensure that analytics deliverables meet high standards of quality, accuracy, and usability by conducting thorough reviews and validations. Qualifications: Basic Qualifications: · Master’s degree in a related field (Computer Sciences, Engineering, Data Analytics, Business Administration, Information Technology) · Experience: 10-15 years of experience in project management, with a focus on analytics or data-related projects. · Strong communication skills, with the ability to effectively engage stakeholders at all levels of the organization. · Ability to manage multiple projects concurrently while maintaining focus on quality and timelines. · Excellent problem-solving and debugging skills. · A team player with strong communication skills and a drive for results. Preferred Qualifications: · Experience working with US Life science and/or Healthcare customers · Knowledge of cloud technologies and data architecture is beneficial. · Familiarity with machine learning or advanced statistical techniques.