Overview
Manage a team that supports operational analytics across PDS, keeping existing products serving the most pressing PDS analytics needs, with potential to build new advanced analytics capabilities.
What you'll do
- 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, aligned with organizational objectives and BMS enterprise platforms and governance (model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring).
- Conduct analysis and interpretation of complex data sets to derive insights and recommendations based on PDS priorities, critical issues, and value levers.
- Collaborate with stakeholders to identify business problems, goals, and KPIs, and 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, including code version control, pipeline management, deployment, and documentation.
- Continuously monitor emerging AI technologies and best practices, recommend new approaches for continuous improvement, and propose a pragmatic roadmap for scaling Data Science & AI functions.
- Provide training, guidance, and mentorship to junior analysts and team members when required.
What you'll need
- 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 such as 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 a positive attitude to develop the team.
- 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 or integration of generative AI or large-scale automation tools, preferably in life sciences, biotech, or healthcare.
Nice to have
- Experience with major PDS applications (SAP, Oracle, LIMS, Infinity, MES).
- Experience with biotech product development, manufacturing operations, supply chain, and quality control.
- Experience in the biopharma industry.
Details
- Work hours that provide sufficient overlap with standard East Coast US working hours.
- Location: Hyderabad, TS, India.
Read the full description and apply on the company’s own careers page.