Manager V&A Transformation Initiatives

Overview

Manage a team of 2-4 associates to build and deliver advanced analytics and AI solutions that address US Value & Access business challenges, owning the full data science project lifecycle.

What you'll do

• Drive full lifecycle delivery of data science projects and guide data scientists in shaping solutions, acting as subject matter expert on development and commercial questions.
• Assume the role of business owner for the proprietary AI engine built to optimize Copay, ensuring models are trained with the latest data and meet SLA expectations.
• Manage the AI tool roadmap, working with a global cross-functional team.
• Work in technical teams on development, deployment and application of applied, predictive and prescriptive analytics.
• Apply hypothesis testing, machine learning and retrieval processes, along with statistical and data mining techniques, to identify trends and analyze relevant information.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Model and analytics experiment and development pipeline leveraging MLOps.
• Oversee efforts of 2-4 associates, including setting performance standards, managing staffing and monitoring performance.
• Collaborate with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights.
• Develop and integrate custom applications, intelligent dashboards and automated workflows incorporating AI capabilities to enhance decision-making and efficiency.

What you'll need

• Master's degree in computer science, statistics or STEM majors with a minimum of 6 years of Information Systems experience OR Bachelor's degree in computer science, statistics or STEM majors with a minimum of 8 years of Information Systems experience.
• Foundational understanding of US pharmaceutical ecosystem and patient support services offerings and other standard data sets including claims, prescription and EMR.
• Experience with one or more analytic software tools or languages such as R and Python.
• Strong foundation in machine learning algorithms and techniques.
• Experience in statistical techniques and hypothesis testing, with experience in regression analysis, clustering and classification.

Nice to have

• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) and 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 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.
• Professional certifications: any AWS Developer certification; any Python and ML certification.
• Soft skills: initiative to explore alternate technology and approaches; skilled in breaking down problems, documenting problem statements and estimating efforts; strong verbal and written communication; ability to work effectively with global virtual teams; high degree of initiative and self-motivation; ability to manage multiple priorities; team-oriented.

Details

• Reports to the Senior Manager, V&A Transformation Initiatives and works in close collaboration with leaders of the Strategy & Innovation Team in the United States Access Analytics & Insights organization in India.
• Location: Hyderabad, India.