Manager, Commercialization IT Data and AI/ML Capabilities

Bristol-Myers Squibb7 months ago
Princeton, NJ, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Welcome to Bristol-Myers Squibb

Welcome to Bristol-Myers Squibb, a global biopharmaceutical company dedicated to discovering, developing, and delivering innovative medicines for patients around the world. We are currently seeking a highly skilled and experienced individual to join our team as the Manager of Commercialization IT Data and AI/ML Capabilities. In this role, you will be responsible for leading the development and execution of our data and artificial intelligence/machine learning (AI/ML) capabilities to drive commercialization strategy and support decision-making across the organization. You will have the opportunity to work with cutting-edge technologies, collaborate with cross-functional teams, and make a significant impact on the success of our business.

To excel in this role, you must have a proven track record in data and AI/ML strategy development, as well as strong leadership skills. You should also possess a deep understanding of the pharmaceutical industry and the ability to effectively communicate complex technical concepts to non-technical stakeholders. If you are passionate about leveraging data and AI/ML to drive business growth and are looking for an exciting and challenging opportunity, we welcome you to apply for this role at Bristol-Myers Squibb. Join us in our mission to transform patients' lives through innovation and make a meaningful difference in the world of healthcare.

Your Responsibilities

  • Develop and implement a comprehensive data and AI/ML strategy to support the commercialization of our products and services.
  • Lead a team of data and AI/ML experts to design, develop, and deploy cutting-edge solutions that drive business growth.
  • Collaborate with cross-functional teams, including commercial, marketing, and medical, to identify and prioritize data and AI/ML opportunities.
  • Establish and maintain strong relationships with key stakeholders to ensure alignment and support for data and AI/ML initiatives.
  • Stay current on industry trends and advancements in data and AI/ML technologies to continuously improve our capabilities.
  • Monitor and analyze data and AI/ML performance metrics to identify areas for improvement and make strategic recommendations.
  • Develop and manage a budget for data and AI/ML initiatives, ensuring cost-effectiveness and ROI.
  • Effectively communicate complex technical concepts to non-technical stakeholders to gain buy-in and support for data and AI/ML initiatives.
  • Identify and mitigate potential risks and challenges related to data and AI/ML projects.
  • Foster a culture of innovation and collaboration within the team and across the organization.
  • Provide leadership and mentorship to team members, fostering their professional growth and development.
  • Represent the company at industry events and conferences to showcase our data and AI/ML capabilities and thought leadership.
  • Ensure compliance with all relevant regulations and standards related to data and AI/ML.
  • Continuously evaluate and improve processes and workflows to optimize data and AI/ML capabilities.
  • Contribute to the overall success and growth of the company by driving data and AI/ML initiatives that support business objectives and improve patient outcomes.

Equal Opportunity Employer

Bristol-Myers Squibb is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Required Skills

Stakeholder Management
Process Optimization
Innovation Promotion
Team Leadership
Cross-Functional Collaboration
AI/ML Implementation
Risk Mitigation
Technical Communication
Regulatory Compliance
Performance Metrics Analysis
Data Strategy Development
Budget Management