Sr. Manager, Data and Analytics

LOTTE BIOLOGICS USA, LLC•Syracuse, NY

17h•$91,000 - $142,000•Onsite

About The Position

The Senior Manager, Data and Analytics owns LOTTE Biologics’ data and analytics capability and is accountable for its strategy, delivery, support, and continuous evolution. The role plans, designs, maintains, and delivers analytics solutions, and leads low-code application development, advanced analytics, artificial intelligence capabilities, AI security and governance, and manufacturing IT systems that enable data capture and operational insight. It also leads digital transformation initiatives that use data and analytics to create business value. The Sr. Manager leads cross-functional strategy and execution, partners with site and leadership functions to define priorities, oversees implementation and sustainment of systems and tools, and builds a high-performing team. The position provides leadership and direct supervision for a team responsible for data engineering, reporting, visualization, advanced analytics, low-code application development, and related digital and manufacturing IT capabilities. The role is based primarily in an office, with regular interaction across manufacturing, laboratory, warehouse, utility, and other operational areas. Regular on-site presence is expected approximately 50–100% of the time, based on business needs. The position requires less than 5% travel and may require occasional work outside normal business hours, including evenings, weekends, and holidays, to support critical implementations, maintenance, production campaigns, audits, inspections, or business continuity events.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline.
At least 6 years of progressive experience in data, analytics, digital, or manufacturing IT roles, including significant experience supporting manufacturing, laboratory, or operational business processes in a regulated environment.
At least 3 years of leadership experience leading teams, programs, or functional capabilities in data and analytics, manufacturing IT, digital transformation, or related technology domains.
Demonstrated experience owning and delivering enterprise analytics, reporting, low-code, or digital technology capabilities, including roadmap development, stakeholder engagement, governance, and value realization.
Strong problem-solving, presentation, verbal, and written communication skills.
Ability to communicate effectively with technical teams, business stakeholders, and senior leadership, translating complex concepts into practical decisions and actions.
Strong knowledge of data and analytics strategy, data architecture, data engineering, reporting, visualization, data modeling, data management, ETL/ELT, data lakes, data warehouses, and data marts.
Understanding of advanced analytics, artificial intelligence, and responsible AI practices, including governance, security, risk management, and controlled enterprise adoption.
Knowledge of low-code application platforms, software delivery practices, and lifecycle governance; familiarity with DevOps, source control, Agile methodologies, ML Ops, and front-end or full-stack web development concepts.
Understanding of manufacturing, laboratory, and enterprise systems supporting biologics operations, including DeltaV, AVEVA PI Historian and associated data tools, LIMS, SAP, Maximo, Millipore ProcessPad, and SIMCA.
Working knowledge of ISA-88 and ISA-95 process and integration standards.
Proficiency with SQL and Microsoft SQL Server, including database administration concepts, data extraction, transformation, query optimization, and support of scalable reporting and analytics solutions.
Ability to lead cross-functional initiatives and influence stakeholders across business, IT, quality, manufacturing, and laboratory functions.
Strong project and portfolio management capability, including prioritizing initiatives, managing competing demands, and delivering outcomes through internal teams, vendors, and strategic partners.
Understanding of current good manufacturing practice and regulated biologics production, including validation, documentation, audit readiness, and disciplined change management.
Collaborative leadership style emphasizing knowledge sharing, talent development, continuous learning, independent work, sound judgment, and appropriate escalation.
Experience with Microsoft analytics and development technologies, including Power BI, Power Platform, Microsoft Visual Studio, and related enterprise tools.

Nice To Haves

Master’s degree.
Experience with manufacturing and operational technology ecosystems, process data, and business systems supporting biologics or other regulated production environments.
Experience leading or supporting advanced analytics, artificial intelligence, automation, or digital transformation initiatives, including introducing new capabilities, governance practices, and user adoption strategies.
Relevant professional certifications in analytics, cloud platforms, project management, agile delivery, AI, cybersecurity, or manufacturing systems.

Responsibilities

Own the data and analytics strategy, roadmap, and operating model, aligning capabilities with business priorities, manufacturing operations, and long-term digital transformation objectives.
Lead and develop a team responsible for data engineering, reporting, visualization, advanced analytics, low-code application development, and related platforms and services.
Lead integration of manufacturing, laboratory, enterprise, process control, and electronic data capture systems with analytics and reporting platforms.
Establish and govern data platforms and delivery capabilities, including data lakes, data warehouses, data marts, and ETL/ELT processes.
Direct the design, implementation, administration, and lifecycle management of analytics, low-code, and manufacturing IT solutions.
Define and advance advanced analytics and artificial intelligence capabilities, including use case prioritization, delivery oversight, adoption enablement, and business value realization.
Establish and maintain governance for data, analytics, low-code solutions, and AI, including security, risk management, compliance, validation, and responsible use controls.
Partner with business, quality, manufacturing, laboratory, and IT stakeholders to define priorities, gather requirements, develop roadmaps, and deliver solutions.
Oversee development of dashboards, KPIs, reporting products, and analytical models for business performance visibility and operational and strategic decision-making.
Drive innovation through proofs of concept, pilots, agile delivery practices, and continuous improvement initiatives.
Ensure applicable systems, applications, and processes are documented, validated where required, audit ready, and supported by effective training materials.
Manage external vendors, consultants, and strategic partners, including solution evaluation, delivery oversight, and ongoing performance management.