Meet with leaders across various functional areas (e.g. data governance, data ops, strategy, marketing, technology, and finance) to understand business challenges.
Establish roadmap for AI integration into data and analytics solutions.
Conduct research and feasibility assessment to identify challenges that can be addressed by leveraging AI advancements and recommend candidate solutions.
Stay up-to-date with the latest advancements in AI, machine learning, and advanced analytics through internal and external partnerships.
Identify opportunities for innovation and differentiation through the application of cutting-edge techniques and algorithms.
As applicable, lead the development of proof-of-concept solutions to demonstrate value.
Lead the design, development, testing, and deployment of these solutions while ensuring reliability, scalability, and maintainability.
Create and deliver presentations and read-outs to various levels of leadership to communicate project status, findings, and recommendations.
Perform core analyses with limited supervision to generate insights and drive informed decision-making.
Lead up to 2 direct reports. Manage vendor relationships and budgets.
Requirements & Skills:
Advanced understanding of the AI/ML landscape and advancements
Strong written and oral communication, presentation, and inter-personal skills
Demonstrated ability to present complex topics to senior management and contributing to high level presentations and discussions
Experience working with and managing multiple internal partners and external agencies
Strong collaboration skills and ability to influence development and adoption of capabilities
Strong planning and organization skills.
Strong focus on teamwork, relationship-building and influencing others; acting courageously and constructively, with agility and a high degree of accountability.
10+ years of experience in marketing analytics
8+ years of experience in advanced analytics and statistical modeling
6+ years of experience defining data and technology requirements to support analytics
6+ years of experience leveraging multiple sources of data and integrating them to deliver actionable recommendations
Advanced Hands-on experience with Python/R/SQL
Familiarity with various prescription and patient data sources such as Symphony Health, IQVIA, etc.
