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IT Associate Director/Principal, Data and Analytics

3 months ago

Conshohocken, United States Madrigalpharma Full time

IT Associate Director/Principal, Data and Analytics

Reporting to Senior Director of Data and Analytics as Associate Director of Data and Analytics, you will lead the design, development, and implementation of advanced analytics solutions that drive business growth and innovation. Leveraging your deep technical expertise and leadership skills, you will play a critical role in shaping our data strategy, architecture, and capabilities to unlock actionable insights and deliver value across the organization. This role will require experience with the most recent developments in cloud and data technologies and leveraging AI and ML in analytics and be curious and active in maintaining strong technical currency in these areas.

Position Responsibilities: 1. Technical Leadership and Strategy:

Provide technical leadership in the development and implementation of Supply Chain, Quality and Medical Affairs analytics solutions, aligning with business objectives and industry best practices. Define and implement the Madrigal data strategy, including data acquisition, storage, processing, and analytics, to support business growth and innovation. 2. Solution Architecture and Design:

Architect scalable and efficient data pipelines, ETL processes, and analytics platforms to support complex data analysis and machine learning workflows. Design and implement robust data models, algorithms, and visualizations to address critical business challenges and drive actionable insights. 3. Advanced Analytics, Data Science and Machine Learning:

Lead the development and deployment of data products, advanced analytics models, and machine learning algorithms to solve complex problems in areas such as predictive analytics, optimization, and anomaly detection. Apply cutting-edge techniques and methodologies to extract valuable insights from large and diverse datasets, leveraging statistical analysis, data mining, and predictive modeling techniques. 4. Cross-Functional Collaboration:

Collaborate closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and translate them into scalable and efficient analytics solutions. Serve as a technical advisor and subject matter expert, providing guidance and mentorship to team members and stakeholders on best practices and emerging technologies. 5. Continuous Learning and Innovation:

Stay abreast of emerging trends and technologies in analytics, data engineering, and machine learning domains, and apply them to solve complex business problems and drive innovation. Contribute to the development of best practices, standards, and methodologies for analytics engineering within the organization.

Qualifications and Skills

Bachelor’s, master’s degree in computer science, Statistics, Mathematics, or a related field. PhD preferred. 10+ years of experience in analytics engineering, data engineering, or a related field, with demonstrated expertise in designing and implementing advanced analytics solutions in pharmaceutical industry. Strong proficiency in programming languages such as Python, R, , with expertise in data analysis, statistical modeling, and machine learning techniques. 8+ years of extensive experience on data manipulation, integration, writing complex queries and creating robust data products. 8+ years of solid experience implementing analytics using visualization/science tools (e.g., Power BI, Tableau, Dataiku). Solid understanding of cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud) and their application in building scalable and efficient analytics solutions; Microsoft Fabric experience is preferred. Excellent leadership, communication, and collaboration skills, with the ability to work effectively in cross-functional teams and engage with stakeholders at all levels.

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