What are the responsibilities and job description for the Senior Manager, AI Policy & Channel - Princeton NJ position at VetJobs?
Job Description
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Role Overview
The Senior Manager, Artificial Intelligence, Policy and Channel (AIPC) is a hands-on technical leader who develops, deploys, and maintains data science and machine learning pipelines, solutions, and products that drive commercialization excellence at BMS. This role provides AI-driven insights that help BMS anticipate and respond to channel-level business trends, payer contract dynamics, legislative policy shifts, and new indication launches. The Senior Manager bridges technical expertise with business acumen, partnering closely with cross-functional stakeholders to deliver scalable, impactful solutions that improve forecast accuracy, net revenue visibility, and contracting strategies across BMS's portfolio.
Key Responsibilities
Automate Data Workflows: Build and maintain automated workflows to process and analyze complex datasets, including biopharmaceutical rebates, contracts, government policies, and channel dynamics.
Model Development and Optimization: Apply advanced machine learning techniques (time series forecasting, Monte Carlo simulations, supervised/unsupervised learning) to create robust, scalable models that support real-time decision-making.
Ensure Solution Reliability: Maintain high standards for reliability, scalability, and maintainability of deployed solutions, implementing monitoring and version control best practices.
Technical Innovation: Stay current with emerging ML/AI technologies (NLP, Large Language Models, agentic AI frameworks) and evaluate their applicability to business problems.
Requirements Gathering: Engage with brand finance directors, pricing and access leads, and forecasting teams to gather requirements, understand business needs, and ensure AI solutions meet user expectations.
Translate Technical to Business: Act as a liaison between technical teams and non-technical stakeholders, translating complex model results and technical insights into clear, actionable business strategies.
Build Trust and Adoption: Foster a collaborative environment where stakeholders feel ownership of AI outcomes, ensuring solutions are integrated into core workflows and trusted for decision-making.
Communication Excellence: Deliver presentations and updates to diverse audiences, clearly explaining model performance, variances, and business implications.
Integration and Rollout: Ensure timely integration of AI solutions into business platforms (e.g., Anaplan forecasting platform) and manage rollout to new brands, channels, and product archetypes.
Impact Analysis: Conduct post-deployment analysis to measure solution impact, validate business value, and identify opportunities for continuous improvement.
Iterative Enhancement: Establish feedback loops with stakeholders to refine models, incorporate new data sources, and adapt to evolving market conditions and policy changes.
Auto req ID
469338BR
Minimum Education Required
Bachelors
Job_Category
Director
Qualifications
Additional Qualifications/Responsibilities
Education
Required: Bachelor's degree (BA/BS) in a quantitative field such as Data Science, Computer Science, Mathematics, Statistics, Engineering, or related discipline.
Preferred: Advanced degree (MS or Ph.D.) in Computer Science, Computational Biology, Bioinformatics, Data Science, or related field.
Experience
Minimum 3 years of hands-on experience developing and deploying machine learning pipelines to solve real-world business problems.
Proven track record of delivering measurable business impact through AI and advanced analytics solutions.
Experience managing AI product lifecycles and integrating solutions into operational business processes.
Technical Skills
Statistical Methods: Strong foundation in statistical methods and their application to business problems, preferably in biopharmaceutical commercialization or healthcare settings.
Machine Learning Expertise: Experience designing and implementing supervised, unsupervised, and reinforcement learning methods using common ML toolkits (TensorFlow, PyTorch, scikit-learn).
Forecasting: Hands-on experience with time series forecasting and Monte Carlo simulations.
Programming: Proficiency in Python is required; experience with R or other statistical programming languages is a plus.
MLOps and Cloud: Familiarity with CI/CD workflows, Git/GitHub version control, MLOps workflows, cloud-based environments (AWS, Azure), and workflow orchestration tools (Airflow, Dagster).
Advanced AI (Preferred): Experience with Natural Language Processing (NLP) techniques, Large Language Models (training/fine-tuning), and agentic AI frameworks.
Soft Skills and Competencies
Communication Excellence: Outstanding communication and presentation skills, with proven ability to translate technical complexity into clear value statements and actionable insights for diverse audiences.
Stakeholder Management: Strong interpersonal skills to drive stakeholder engagement, build trust, and foster cross-functional collaboration.
Problem-Solving: Resourceful and proactive approach to overcoming data or modeling challenges, with flexibility to adjust approaches as new information emerges.
Agility: Ability to thrive in a dynamic environment with evolving market conditions, policy changes, and business priorities.
Ownership and Accountability: Demonstrated ability to take ownership of projects and drive them to successful completion.
Preferred Expertise
Knowledge of biopharmaceutical market access, pricing, value demonstration, and reimbursement landscape.
Understanding of channel dynamics, payer contracting, and healthcare policy implications for pharmaceutical commercialization.
Experience working in matrixed organizations and influencing without direct authority.
Why Join BMS AIPC?
Performance: Deliver accelerated, high-impact technology and analytics initiatives that directly advance BMS's strategic goals.
Pipeline: Pioneer innovation that optimizes and accelerates the discovery of new medicines and the design, planning, and execution of critical studies.
People: Embrace innovation, own outcomes, and foster an inclusive, learning culture where people and technology grow together to accelerate impact.
Additional Notes
This role requires a blend of deep technical expertise and strong business acumen.
The position involves collaboration across multiple functions and geographies, requiring flexibility and adaptability.
Travel may be required occasionally for stakeholder meetings and team collaboration.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Compensation Overview
Princeton - NJ - US: $152,150 - $184,370
City*
Princeton
State*
New Jersey
Job Code
Pharmaceutical Pharmaceutical
Affiliate Sponsor
Bristol Myers Sqibb BMS
Salary Range
>$100,000
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Role Overview
The Senior Manager, Artificial Intelligence, Policy and Channel (AIPC) is a hands-on technical leader who develops, deploys, and maintains data science and machine learning pipelines, solutions, and products that drive commercialization excellence at BMS. This role provides AI-driven insights that help BMS anticipate and respond to channel-level business trends, payer contract dynamics, legislative policy shifts, and new indication launches. The Senior Manager bridges technical expertise with business acumen, partnering closely with cross-functional stakeholders to deliver scalable, impactful solutions that improve forecast accuracy, net revenue visibility, and contracting strategies across BMS's portfolio.
Key Responsibilities
- Hands-On Technical Delivery: Machine Learning Pipeline Development
Automate Data Workflows: Build and maintain automated workflows to process and analyze complex datasets, including biopharmaceutical rebates, contracts, government policies, and channel dynamics.
Model Development and Optimization: Apply advanced machine learning techniques (time series forecasting, Monte Carlo simulations, supervised/unsupervised learning) to create robust, scalable models that support real-time decision-making.
Ensure Solution Reliability: Maintain high standards for reliability, scalability, and maintainability of deployed solutions, implementing monitoring and version control best practices.
Technical Innovation: Stay current with emerging ML/AI technologies (NLP, Large Language Models, agentic AI frameworks) and evaluate their applicability to business problems.
- Stakeholder Engagement and Cross-Functional Collaboration
Requirements Gathering: Engage with brand finance directors, pricing and access leads, and forecasting teams to gather requirements, understand business needs, and ensure AI solutions meet user expectations.
Translate Technical to Business: Act as a liaison between technical teams and non-technical stakeholders, translating complex model results and technical insights into clear, actionable business strategies.
Build Trust and Adoption: Foster a collaborative environment where stakeholders feel ownership of AI outcomes, ensuring solutions are integrated into core workflows and trusted for decision-making.
Communication Excellence: Deliver presentations and updates to diverse audiences, clearly explaining model performance, variances, and business implications.
- AI Product Lifecycle Management
Integration and Rollout: Ensure timely integration of AI solutions into business platforms (e.g., Anaplan forecasting platform) and manage rollout to new brands, channels, and product archetypes.
Impact Analysis: Conduct post-deployment analysis to measure solution impact, validate business value, and identify opportunities for continuous improvement.
Iterative Enhancement: Establish feedback loops with stakeholders to refine models, incorporate new data sources, and adapt to evolving market conditions and policy changes.
Auto req ID
469338BR
Minimum Education Required
Bachelors
Job_Category
Director
Qualifications
Additional Qualifications/Responsibilities
Education
Required: Bachelor's degree (BA/BS) in a quantitative field such as Data Science, Computer Science, Mathematics, Statistics, Engineering, or related discipline.
Preferred: Advanced degree (MS or Ph.D.) in Computer Science, Computational Biology, Bioinformatics, Data Science, or related field.
Experience
Minimum 3 years of hands-on experience developing and deploying machine learning pipelines to solve real-world business problems.
Proven track record of delivering measurable business impact through AI and advanced analytics solutions.
Experience managing AI product lifecycles and integrating solutions into operational business processes.
Technical Skills
Statistical Methods: Strong foundation in statistical methods and their application to business problems, preferably in biopharmaceutical commercialization or healthcare settings.
Machine Learning Expertise: Experience designing and implementing supervised, unsupervised, and reinforcement learning methods using common ML toolkits (TensorFlow, PyTorch, scikit-learn).
Forecasting: Hands-on experience with time series forecasting and Monte Carlo simulations.
Programming: Proficiency in Python is required; experience with R or other statistical programming languages is a plus.
MLOps and Cloud: Familiarity with CI/CD workflows, Git/GitHub version control, MLOps workflows, cloud-based environments (AWS, Azure), and workflow orchestration tools (Airflow, Dagster).
Advanced AI (Preferred): Experience with Natural Language Processing (NLP) techniques, Large Language Models (training/fine-tuning), and agentic AI frameworks.
Soft Skills and Competencies
Communication Excellence: Outstanding communication and presentation skills, with proven ability to translate technical complexity into clear value statements and actionable insights for diverse audiences.
Stakeholder Management: Strong interpersonal skills to drive stakeholder engagement, build trust, and foster cross-functional collaboration.
Problem-Solving: Resourceful and proactive approach to overcoming data or modeling challenges, with flexibility to adjust approaches as new information emerges.
Agility: Ability to thrive in a dynamic environment with evolving market conditions, policy changes, and business priorities.
Ownership and Accountability: Demonstrated ability to take ownership of projects and drive them to successful completion.
Preferred Expertise
Knowledge of biopharmaceutical market access, pricing, value demonstration, and reimbursement landscape.
Understanding of channel dynamics, payer contracting, and healthcare policy implications for pharmaceutical commercialization.
Experience working in matrixed organizations and influencing without direct authority.
Why Join BMS AIPC?
Performance: Deliver accelerated, high-impact technology and analytics initiatives that directly advance BMS's strategic goals.
Pipeline: Pioneer innovation that optimizes and accelerates the discovery of new medicines and the design, planning, and execution of critical studies.
People: Embrace innovation, own outcomes, and foster an inclusive, learning culture where people and technology grow together to accelerate impact.
Additional Notes
This role requires a blend of deep technical expertise and strong business acumen.
The position involves collaboration across multiple functions and geographies, requiring flexibility and adaptability.
Travel may be required occasionally for stakeholder meetings and team collaboration.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Compensation Overview
Princeton - NJ - US: $152,150 - $184,370
City*
Princeton
State*
New Jersey
Job Code
Pharmaceutical Pharmaceutical
Affiliate Sponsor
Bristol Myers Sqibb BMS
Salary Range
>$100,000
Salary : $100,000