Sr. Manager, Data and Analytics

We are LOTTE BIOLOGICS! Delivering Therapies That Enable a Healthier World.

A new company, built on 80 years of tradition. We embody our core values of being Inspired by Science, Embracing Diversity, Fostering Talent, and Connecting Lives. Our mission is to be the most trusted partner in the industry, with high standards of quality and continuous innovation, to reliably deliver benefits for patients worldwide.

Position Summary

The Senior Manager, Data and Analytics has full ownership of the company’s data and analytics capability and is accountable for the strategy, delivery, support, and continuous evolution of the platforms, products, and services that enable data-driven decision-making across the enterprise. This role is responsible for the planning, design, maintenance, and delivery of analytics solutions, while also owning low-code application development, advanced analytics, artificial intelligence capabilities, AI security and governance, and manufacturing IT systems that enable data capture and operational insight. This role is also responsible for digital transformation initiatives that leverage data and analytics capabilities to create business value. The Sr. Manager will lead cross-functional strategy and execution, partner with site and leadership functions to define priorities, oversee implementation and sustainment of systems and tools, and build a high-performing team that can innovate, scale, and govern modern data, analytics, and digital solutions in support of business and operational objectives.

Duties & Responsibilities

• Own the data and analytics strategy, roadmap, and operating model, ensuring capabilities are aligned to business priorities, manufacturing operations, and long-term digital transformation objectives. • Lead and develop a high-performing team responsible for data engineering, reporting, visualization, advanced analytics, low-code application development, and support of associated platforms and services. • Provide strategic leadership for the integration of manufacturing, laboratory, enterprise, process control, and electronic data capture systems with analytics and reporting platforms to enable trusted, scalable, and actionable insights. • Establish and govern data platforms and delivery capabilities, including data lake, data warehouse, data mart, and ETL/ELT processes, to ensure reliable, secure, and efficient data availability across the organization. • Direct the design, implementation, administration, and lifecycle management of analytics, low-code, and manufacturing IT solutions, ensuring performance, scalability, supportability, and service levels are achieved. • Define and advance the company’s advanced analytics and artificial intelligence capabilities, including use case prioritization, delivery oversight, adoption enablement, and measurable business value realization. • Establish and maintain governance for data, analytics, low-code solutions, and AI, including appropriate controls for security, risk management, compliance, validation, and responsible use. • Partner with business, quality, manufacturing, laboratory, and IT stakeholders to define priorities, gather requirements, develop roadmaps, and deliver solutions that improve decision-making, process performance, and operational efficiency. • Oversee development of dashboards, KPIs, reporting products, and analytical models that provide meaningful visibility into business performance and support operational and strategic decisions. • Drive innovation through proofs of concept, pilots, agile delivery practices, and continuous improvement initiatives that modernize digital capabilities and accelerate adoption of new technologies. • Ensure applicable systems, applications, and processes remain documented, validated where required, audit ready, and supported by effective training materials for end users and administrators. • Manage external vendors, consultants, and strategic partners, including solution evaluation, delivery oversight, and ongoing performance management, to support execution of the function’s objectives.