Delivery Lead - Analytics & Healthcare

As an experienced analytics professional, you will be responsible for leading the Analytics Team, creating solutions, and defining roadmaps. Your key responsibilities will include: - Supervising various data/business initiatives and deliverables, working closely with Operations, Client Partners, MIS, technology reporting teams, and the internal platform and data management team. - Proactively identifying risks to business KPIs through guidance from Analytics and data science. - Overseeing a multi-dimensional team involved in Analytics Production, Shared R&D/Data Mining, ML & NLP development, and Operational Analytics end to end. - Demonstrating and consulting on data insights to enable change management with key stakeholders. - Assembling a core team by hiring, training, and mentoring team members. - Defining and reviewing Analytics roadmap with team members, stakeholders, and collaborators to resolve open items within agreed timelines. - Building senior and strategic cross-functional relationships through delivery excellence and interpersonal stakeholder management. - Centralizing and prioritizing requirements from Analytics for Technology/Platform and Data management counterparts. Your Skills and Roles will include: - Strong problem-solving and analytical skills. - Experienced team manager with a focus on hiring and career pathing. - 5+ years of experience in Data Analytics and Consulting using SAS, SQL, Python, and MS Suite. - Strong understanding of business optimization framework and techniques. - Demonstrated experience in handling Analytics Delivery & ROI frameworks. - Ability to design data-driven solutions and frameworks from scratch. - Excellent written and verbal communication in English. The company follows a unique revenue model where revenue is generated from the savings identified for the client. They develop and maintain algorithms and R&D accelerators for multiple health insurance clients. The company ecosystem includes: - A 100+ member Analytics team comprising data enthusiasts, decision scientists, and business/subject matter experts. - Massive Data Assets with millions of structured data and thousands of unstructured records processed monthly. - Tech investments in On-Prem GPUs, Azure, AWS, Databricks, On-Prem Hadoop-Hive, etc. - Leadership focus on digitization, data-led decisions, and AI. Your typical day will involve monitoring business performance and operations, applying different analytics levers to meet client savings targets, and working on ML models, SQL rules, Hospital Profiling, Pattern Mining, and more to drive operational excellence and innovation.,