BI Engineer, Advanced Analytics & Insights

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Founded by seasoned industry leaders, we have a dynamic team of experts in commercial data, technology, and operations who collaborate to shape the future. As a Senior Product Engineering Manager/Associate Director at Improzo, you will play a pivotal role in leading the development of our next-generation Analytics Platform with AI-Apps for the Life Sciences industry. In this role, you will leverage your technical expertise in Python, AI/ML, and data analytics to design and deliver a modern AI-first Analytical Apps platform. You will lead a team of engineers in building a platform that empowers users to solve key problems across the Life Sciences value chain by integrating AI Apps and actionable insights. Additionally, you will collaborate with product managers, architects, and business stakeholders to define the technical vision, strategy, and roadmap for the Analytics Platform. Key Responsibilities: - Design and deliver a modern AI-first Analytical Apps platform for the Life Sciences Industry. - Lead Platform Development, CI/CD/DevOps, Quality, Data Engineering, and ML Development & Ops. - Manage a team of software engineers specializing in Python (Django), data engineering, and AI/ML. - Collaborate with stakeholders to drive the integration of AI/ML capabilities into the Analytics Platform for advanced insights. - Ensure the platform provides robust capabilities for data exploration, analysis, visualization, and reporting. - Foster a collaborative, innovative, Agile, and high-performing engineering culture. - Provide technical guidance, mentorship, and career development support to team members. - Drive engineering best practices, code quality, and technical excellence within the team. - Participate in the recruitment and onboarding of new engineering talent. - Stay updated on the latest trends and technologies in analytics and artificial intelligence. Qualifications: - Bachelor's or master's degree in computer science or related disciplines. - 7+ years of product development experience leading engineering teams in a product-focused environment. - Proficiency in Python, data processing, analysis, backend development, and front-end technologies. - Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling. - Experience with cloud-based data platforms and services. - Expertise in integrating AI/ML models into applications and building agents. - Hands-on experience with CI/CD tools, containerization, monitoring, and logging tools. - Knowledge of pharmaceutical or biotech industry regulations and compliance requirements. - Strong problem-solving, analytical, and decision-making skills. - Strong leadership, mentoring, and coaching skills. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge Analytics projects in the life sciences industry. - Collaborative and supportive work environment. - Opportunities for professional development and growth.,