Description:
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, 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 are highly 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, Biologics Analytics will partner with the Biologics Operating Unit and Business Insights and Analytics (BIA) stakeholders to establish core capabilities within the team, namely:
- Driving analytics and capability builds – Answer key business questions and support site manufacturing activities using innovative analytic and data science techniques. Assist with establishing core analytical and data science capabilities, standards, processes, and methodologies for the team.
- Supporting business decisions - Work closely with Biologics manufacturing leaders to proactively identify and address priority business questions.
- Driving team productivity and operational excellence – Ensure consistent adoption of standards, processes, and methodologies by contracted or other team staff. Continuously seek opportunities to enhance the team’s overall productivity.
Driving Analytics And Capabilities
- Designs, develops, and implements a broad array of business analytics that solve complex problems in a computationally efficient and statistically appropriate manner.
- Identifies new opportunities to further leverage analytics, data and analytical tools.
- Actively manages multiple projects in parallel from charter through completion.
- Ensures best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization, and subject matter expertise.
- Defines standards for the provision of analytics to support planning and decision making processes and utilizes appropriate escalation processes.
- 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.
- Drives capability build for data automation, cloud computing and data lake integration within team.
- Contributes to defining the overall team strategy in collaboration with team leadership.
Supporting Business Decisions
- Work closely with business stakeholders to proactively identify and address priority business questions within the Devens manufacturing site. Work to embed an objective and unbiased point of view into the business conversation.
- Drive the application of fact-based decision making for key site questions.
- Develops and maintains a deep understanding of Biologics business priorities and the enterprise portfolio.
- Builds relationships with key stakeholder and senior leaders within Biologics and BIA.
- 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 BIA stakeholders to drive the adoption of these best practices.
- Conducts detailed team walkthroughs and peer reviews of team’s work to ensure quality, cross-training, and knowledge management.
- Leads standardization of analytics and process methodologies in GPS Analytics
- Authors detailed documentation that describes analytics tool development, assumptions and input data and data processing.
- Mentors/coaches junior team members on technical topics.
Qualifications And Experiences
- BA/BS in a scientific or quantitative major required; advanced degree (Master or PhD) preferred; Operations Research background preferred.
- 3+ years of experience developing and using advanced analytics and reporting techniques; relevant experience in biopharmaceutical industry preferred.
- Experience with data science solutions including data engineering, data visualization, statistical analysis, Monte Carlo simulation, predictive modeling, machine learning, etc.
- Ability to architect analytics and/or data science solutions.
- Strong project management skills with demonstrated ability to lead multiple projects and priorities.
- Excellent interpersonal, collaborative, team building, written and verbal communication skills to ensure effective collaborations within matrix teams.
- Experience in leveraging methods such as Design Thinking and Human Center Design to generate high value questions preferred.
- Ability to develop and implement production-ready analytic and data science solutions.