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As Manager – V&A Transformation Initiatives, you will be at the forefront of solving the US Value & Access team's biggest challenges using cutting edge technology. The AIN Transformation team will be viewed as an 'innovation engine', constantly testing and refining analytics solutions to address customer needs and opportunities alongside business partners. In your role as a manager, you'll be expected to combine a deep understanding of access data and analytics with experience in developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Together with 2-4 associates you lead, you will be responsible for building and testing solutions for targeted business challenges. This will include application of advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. The ideal candidate for this position will understand the business challenges that US Value & Access teams face and will have with a track record of success in applying that knowledge to build, deploy, and refine high impact advanced analytics tools. This role will report to the Senior Manager, V&A Transformation Initiatives and will work in close collaboration with leaders of the Strategy & Innovation Team in the United States Access Analytics & Insights organization in India.
Job Responsibility:
Accountable to drive full lifecycle of data science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool's road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 2-4 associates, including setting performance standards, managing their staffing, and monitoring performance
Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights
Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency
Requirements:
8-13 years post degree in computer science, statistics or STEM majors
minimum of 4 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings and other standard data sets including claims, prescription, EMR
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Nice to have:
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Outstanding analytical and problem-solving skills
Ability to learn quickly
Excellent communication and interpersonal skills
Experience with data engineering and pipeline development
Knowledge of NLP techniques for text analysis and sentiment analysis
Experience in analyzing time-series data for forecasting and trend analysis
Experience with AWS, Azure, or Google Cloud
Experience with Databricks platform for data analytics and MLOps
Any AWS Developer certification (preferred)
Any Python and ML certification (preferred)
Initiative to explore alternate technology and approaches to solving problems
Skilled in breaking down problems, documenting problem statements, and estimating efforts
Excellent analytical and troubleshooting skills
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals