Senior Manager, GPS Strategy & Predictive Risk Analytics

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Position Summary

The GPS (Global Product Development and Supply) Analytics team, part of Business Insights & Technology (BI&T), partners with the GPS organization to answer key business questions that drive business strategy using advanced data analytics and data science.

The Senior Manager, GPS Strategy & Predictive Risk Analytics will work directly with the Director, GPS Strategy & Predictive Risk Analytics to develop analytical business insights, analytics tools, and data science capabilities in support of the GPS Strategy organization and Business Continuity Management (BCM) activities in Global Technical Services (GTS) organization. The Senior Manager, GPS Strategy & Predictive Risk Analytics will lead technical projects in developing data science solutions for GPS in the areas of network strategy, long range supply planning, brand and portfolio strategy, risk management, business continuity management, and business development.

The successful candidate has a scientific background in Business Analytics, Data Science, Engineering, Quantitative Finance, or other STEM fields and has expertise in one or more of the following areas: data science, data analytics, data engineering, data visualization, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, SQL, App development, and Tableau dashboard development. Experience with simulation techniques and risk management is desired. Knowledge on Supply and Demand planning is a plus. Additionally, a successful candidate is a strong communicator with excellent presentation and writing skills and can manage multiple priorities and projects.

Key Responsibilities

The Senior Manager, GPS Strategy & Predictive Risk Analytics will partner with Network Strategy and Business Insights and Technology (BI&T) stakeholders to establish core capabilities within the team, namely:

• Driving analytics and capability builds – Answer key business questions supporting long term planning activities and strategic initiatives using innovative data science techniques. Support the development of core analytical and data science tools, ETL (Extract, transform, and load) data processes, and statistical methodologies for the team.

• Supporting business decisions - Work closely with Network Strategy and GPS Strategy leaders to proactively identify and address priority business questions.

• Driving team productivity and operational excellence – Ensure consistent adoption of coding best-practices, coding standards and data analysis methodologies by contracted or other team staff. Continuously seek opportunities to enhance the team’s overall productivity.

Supporting Business Decisions

• Develops state of the art data analysis applications to support data-driven decision making for key questions within GPS Strategy’s deliverables.

• Works closely with business stakeholders to proactively identify and address priority business questions within Network Strategy and Global Supply Chain. Works to embed an objective and unbiased point of view into the business conversation.

• Acquires a deep understanding of Network Strategy’s business priorities and the enterprise portfolio.

• Builds relationships with key stakeholder and senior leaders within GPS and BI&T.

• Demonstrates ability to influence senior leaders to adopt analytics-derived insights.

Driving Team Productivity and Operational Excellence

• Follows coding best practices and works with IT and other BI&T stakeholders to drive the adoption of these best practices.

• Leads standardization of code development and data analysis techniques within GPS Analytics.

• Authors detailed documentation that describes development, assumptions, input data and data processing.

• Conducts detailed team walkthroughs and peer reviews of team’s work to ensure quality, cross-training, and knowledge management.

• Mentors/coaches junior team members on technical topics.

Driving Analytics and Capabilities

• Designs, develops, and implements a broad array of data analysis applications that solve complex problems in a computationally efficient and statistically appropriate manner.

• Drives capability build for data automation, cloud computing and data lake integration within the team.

• Identifies new opportunities to further leverage data and analytical tools.

• Acts as subject matter expert of the Bristol Myers Squibb technology stack within team and provides technical leadership for driving technology solutions in analytics deployment.

• Ensures best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization and subject matter expertise.

• Actively manages multiple projects in parallel from charter through completion.

• Defines standards for the provision of analytics to support planning and decision making processes and utilizes appropriate escalation processes.

• Contributes to defining the overall team strategy in collaboration with team leadership.

Required/Minimum Qualifications:

• Bachelor’s degree in Business Analytics, Data Science, Engineering, Quantitative Finance, or other STEM field. Master’s degree or advanced degree preferred.

• Minimum of 3 years of proven, hands-on experience in developing, implementing, and deploying machine learning models and predictive analytics solutions. This includes demonstrated expertise in statistical modeling, time-series forecasting, and other advanced analytical methods tailored to business needs. The ideal candidate will have a strong ability to translate data into actionable insights and deliver scalable, effective solutions that drive decision-making.

• 3+ years of experience working with Python and/or R, as well as SQL, in production and operational environments. This includes proficiency in writing efficient, scalable code for data manipulation, analysis, and modeling, as well as designing and optimizing queries for relational databases to support robust, real-time data pipelines and machine learning workflows.

• Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.

• Exceptional project management skills with demonstrated ability to lead multiple projects and priorities. Experience in Agile/Kanban a plus.

• Exceptional analytical skills with substantial knowledge of current data science & data engineering technologies.

• Exceptional written and verbal communication skills.

• Ability to learn new tools and skills quickly and gain and apply GPS specific knowledge.

• Proven ability to lead small teams/groups and manage a heavy workload.

• Experience working in pharmaceutical product development, supply chain, manufacturing, or forecasting.

• Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements. Experience with translating analytical results for business leaders

• Ability to work with diverse teams across organizational lines and structures.

#LI-Hybrid

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.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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