Manager, PDS BI&T Analytics Operations

Bristol Myers Squibb; Hyderabad; Presencial; INR 2 400 000 - 4 800 000; Tempo integral

Resumo da oferta

Bristol Myers Squibb is seeking a Manager of PDS BI&T Analytics Operations to lead a team delivering operational analytics and advanced analytics capabilities for patient-focused outcomes.

You will partner with IT on data pipelines, build scalable BI solutions, and mentor analysts while aligning with enterprise standards and governance.

Qualificações

• 8+ years of experience in data analytics and BI leadership.
• Experience leading analytics teams and guiding data strategy.
• Proficiency in Power BI, Databricks, SQL, Python.
• Strong business acumen and ability to translate insights into actions.
• Experience with major PDS applications is a plus.

Responsabilidades

• Lead analytics team to support operational analytics across PDS BI&T.
• Develop and deploy data pipelines, models, and dashboards.
• Collaborate with IT to optimize data infrastructure and governance.
• Prepare reports and presentations for stakeholders.
• Mentor junior analysts and align with enterprise initiatives.
• Ensure overlap with standard east coast US working hours.

Conhecimentos

Power BI

Databricks

SQL

Python

Leadership

Project management

Communication

Critical thinking

Agile

Formação académica

Bachelor's or Master's in Computer Science/Engineering/Data Science

Ferramentas

Github

SAP

Oracle

LIMS

Infinity

MES

Databricks

Descrição da oferta de emprego

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Manager, PDS BI&T Analytics Operations

Summary:

This role will play a crucial role in managing a team that supports operational analytics across PDS to ensure products continue to serve most pressing PDS analytics needs, with potential opportunities to build new advanced analytics capabilities to build in state of art solutions. Manager for this cutting-edge Analytics team should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to scaling and deploying analytics solution (having a thorough knowledge in Business Intelligence Space) in the service of our patients around the world.

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.
• Exper