Senior Manager, Data & Analytics — AI‑Driven Manufacturing

Lotte Biologics; City of Syracuse (NY); On-site; USD 91,000 - 142,000; Full time

Benefits offered by this job

Target bonus 16%

Job summary

LOTTE BIOLOGICS is seeking a Senior Manager of Data and Analytics to own the company’s data capabilities and analytics strategy. You will lead cross-functional teams, oversee data platforms, and drive digital transformation initiatives that deliver measurable business value across manufacturing, quality, and IT functions.

The role requires 6+ years in data/analytics with manufacturing IT, plus 3+ years in leadership.

Qualifications

• Bachelor’s degree in computer science, engineering, information systems, data science, or related field.
• 6+ years in data, analytics, digital, or manufacturing IT roles, with regulated environments.
• 3+ years of leadership leading teams, programs, or functional capabilities in data/analytics or digital tech.

Responsibilities

• Own data and analytics strategy, roadmap, and operating model aligned to business priorities and manufacturing operations.
• Lead a high-performing team responsible for data engineering, reporting, visualization, advanced analytics, and low-code development.
• Govern data platforms, analytics, and AI capabilities with security, risk, and compliance in mind.
• Define governance for data, analytics, low-code solutions, and AI across the enterprise.

Skills

Data strategy

Team leadership

Stakeholder management

Problem solving

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related technical discipline

Master’s degree preferred

Tools

Power BI

Power Platform

Microsoft Visual Studio

SAP

Job description

LOTTE BIOLOGICS is seeking a Senior Manager of Data and Analytics to own the company’s data capabilities and analytics strategy. You will lead cross-functional teams, oversee data platforms, and drive digital transformation initiatives that deliver measurable business value across manufacturing, quality, and IT functions.

The role requires 6+ years in data/analytics with manufacturing IT, plus 3+ years in leadership.