Sr. Manager Advanced Analytics, IA

Key Skills

Algorithms, Data science techniques, Leadership Skill, Machine learning techniques, Project management, Sales, Teamwork

Job Description

Sr. Manager Advanced Analytics, IA role to Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains. High agility to be able to work across various business domains.

Key responsibilities :

• Project manage own tasks and works with allied team members; plans proactively,

anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and drives issues to resolution, minimizes surprise escalations, with initial support from supervisors

• Collaborate with internal stakeholders, external partners and cross-functional teams to

solve critical business problems

• Understand life science data sources including preclinical, clinical, sales, contracting,

promotions, social media, patient claims and Real World Evidence

• Research and co-develop with supervisor new algorithms, methods, statistical models and

1/3 business models and providing insight into structured and unstructured data,

• Support the evaluation of the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis practices
• Develop automation for repeatedly refreshing analysis and generating insights
• Articulates solutions /recommendations to business users. Works with senior data science

team member to present analytical content concisely and effectively

• May lead a small team or in-depth technical expertise in a scientific / technical field

depending upon the career path (Manager/Individual contributor)

• Reporting of technical complaints / adverse events / special case scenarios related to

Novartis products within 24 hours of receipt

Diversity & Inclusion / EEO

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Minimum Requirements

• 15+ years of relevant experience in Data Science
• 2+ years of relevant experience in Data Science
• Has a strong professional network across Academia
• In-depth mastery of external environment and trends
• Track record delivering global solutions at scale

Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.