Manager, PDS BI&T Analytics Operations
About the role
Manager, PDS BI&T Analytics Operations
Roles & Responsibilities
- Operate with a high degree of independence and accountability - setting priorities, making critical decisions, and delivering outcomes with minimal supervision.
- Provide strategic and technical analytical solutions for the identification, development, and deployment of Data & Analytics solutions across PDS BI&T, ensuring alignment with organizational objectives and enterprise initiatives as well as harmony with BMS enterprise platforms and governance (e.g., model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring).
- Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of PDS priorities, critical issues, and value levers.
- Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models and business facing reports and dashboards.
- Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently.
- Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.
- Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization.
- Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation.
- Continuously monitoring emerging AI technologies and best practices, recommending new approaches to drive continuous improvement and proposing a pragmatic roadmap for scaling Data Science & AI functions.
- Provide training, guidance, and mentorship to junior analysts and team members when required.
- Work hours that provide sufficient overlap with standard east coast US working hours.
Skills and competencies
- Good critical thinking and problem-solving abilities to support and articulate a data-led approach to insight development with 8+ years of experience
- Agile problem-solving ability and desire to learn new things and continuously improve
- Proficiency in Power BI, Databricks, SQL, Python
- Strong project management skills and the ability to work independently or as part of a team
- Solid understanding of digital analytics tools and platforms and version control like Github
- Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner.
- Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations
- Leadership skills to lead an analytics team with required people manager skills and positive attitude to develop the team
Experience
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related scientific discipline field.
- Experience working as both a technical lead and people manager
- Proven experience in a data and analytics role, including direct development experience.
- Experience working with large datasets, data visualization tools, statistical software packages and platforms
- Proficiency in Python and machine learning as well as LLM and agentic AI solutions
- Demonstrable Experience in development of integration of generative AI or large-scale automation tools - preferably in life sciences, biotech, or healthcare.
- Experience with major PDS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus.
- Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus.
- Experience in the biopharma industry a plus.
We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.
How We Work
Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.
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