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Senior Manager, Strategy & Business Excellence Analytics
Client: Bristol Myers Squibb
Location: Ireland
Job Category: Other
EU work permit required: Yes
Job Reference: 2cf5cf3820f4
Job Views: 108
Posted: 21.01.2025
Expiry Date: 07.03.2025
Job Description:
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.
The GPS BIA team (Global Product Development and Supply Business Insights and Analytics) partners with the BMS GPS organization to answer key business questions that drive business strategy using advanced data analytics and data science.
The Senior Manager, Strategy & Business Excellence (SBE) Analytics will work directly with the Associate Director, SBE Analytics to develop analytic tools and data science capabilities in support of the GPS Strategy & Business Excellence (SBE) organization and end-to-end planning activities within Global Supply Chain (GSC). The Senior Manager, SBE Analytics will lead technical projects in developing data science solutions for GPS in the areas of network strategy, long range supply planning, end-to-end supply planning, brand and portfolio Strategy, business continuity, business development and operational excellence.
The successful candidate has a scientific background in operations research, engineering or other STEM field and has expertise in one or more of the following areas: data science, data analytics, data engineering, data visualization, supply chain planning, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development. Experience with simulation techniques and risk management is desired. 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, SBE Analytics will partner with Strategy & Business Excellence (SBE) and Business Insights and Analytics (BIA) stakeholders to establish core capabilities within the team, namely:
1. Supporting business decisions - Work closely with SBE leaders to proactively identify and address priority business questions.
2. Driving analytics and capability builds – Answer key business questions and support long range planning activities using innovative analytic and data science techniques.
3. Driving team productivity and operational excellence – Ensure consistent adoption of standards, processes, and methodologies by contracted or other team staff.
Qualifications & Experience
Minimum Qualifications
1. Ph.D. in operations research, engineering, pharmaceutical science, physics, or other quantitative area of study with 0-1+ years of experience preferred.
2. M.S in operations research, engineering, pharmaceutical science, physics, or other quantitative area of study with 1-2+ years of experience preferred.
3. B.S. in operations research, engineering, pharmaceutical science, physics, or other quantitative area of study with more than 3 years of experience preferred.
4. 3+ years hands-on working in supply chain, data science, data analytics and data integration.
5. 3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift).
6. Ability to develop and implement production-ready analytic and data science solutions.
Experience
1. Excellent interpersonal, collaborative, team-building, and communication skills to ensure effective collaborations within matrix teams.
2. Exceptional project management skills with demonstrated ability to lead multiple projects and priorities. Experience in Agile/Kanban a plus.
3. Exceptional analytical skills with substantial knowledge of current data science & data engineering.
4. Exceptional written and verbal communication skills.
5. Ability to learn new tools and skills quickly and gain and apply GPS specific knowledge.
6. Proven ability to lead small teams/groups and manage a heavy workload.
7. Experience working in pharmaceutical product development, supply chain, manufacturing, or forecasting.
8. Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
9. Ability to work with diverse teams across organizational lines and structures.
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