The posting
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.
Education & Experience
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline required; Master’s degree preferred.
- 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.
- 3+ years of leadership experience with responsibility for 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.
- Experience working with manufacturing and operational technology ecosystems, process data, and business systems that support biologics or other regulated production environments is strongly preferred.
- Experience leading or supporting advanced analytics, artificial intelligence, automation, or digital transformation initiatives, including the introduction of new capabilities, governance practices, and user adoption strategies, is preferred.
- Relevant professional certifications in analytics, cloud platforms, project management, agile delivery, AI, cybersecurity, or manufacturing systems are desirable but not required.
- Strong problem-solving, presentation, verbal, and written communication skills required.
- Demonstrated ability to communicate effectively with technical teams, business stakeholders, and senior leadership, translating complex concepts into practical decisions and actions.
Knowledge, Skills, Abilities
- Strong knowledge of data and analytics strategy, data architecture, data engineering, reporting, visualization, data modeling, data management, ETL/ELT, and modern data delivery concepts including data lakes, data warehouses, and data marts.
- Demonstrated understanding of advanced analytics, artificial intelligence, and responsible AI practices, including governance, security, risk management, and controlled adoption within an enterprise environment.
- Knowledge of low-code application platforms, software delivery practices, and lifecycle governance, with familiarity in DevOps, source control, Agile methodologies, ML Ops, and front-end or full-stack web development concepts.
- Strong understanding of manufacturing, laboratory, and enterprise systems that support biologics operations, including DeltaV, AVEVA PI Historian and associated data tools, LIMS, SAP, Maximo, Millipore ProcessPad, and SIMCA.
- Working knowledge of process and integration standards such as ISA-88 and ISA-95, and the ability to apply them in support of connected manufacturing and digital transformation initiatives.
- 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 through strong communication, documentation, presentation, and technical writing skills.
- Strong project and portfolio management capability, with the ability to prioritize initiatives, manage competing demands, and deliver outcomes through internal teams, vendors, and strategic partners.
- Thorough understanding of current good manufacturing practice and regulated operating environments in biologics production, including the need for validation, documentation, audit readiness, and disciplined change management.
- Collaborative leadership style with an emphasis on knowledge sharing, talent development, continuous learning, and the ability to work independently while exercising sound judgment and appropriate escalation.
- Experience with Microsoft analytics and development technologies, including Power BI, Power Platform, Microsoft Visual Studio, and related enterprise tools.
Physical Demands
- This position primarily involves office-based work, including prolonged periods of sitting, standing, and working at a computer workstation. The employee must be able to communicate effectively, participate in meetings, and review technical documentation and data reports.
- The role requires frequent use of a computer, keyboard, and other standard office equipment. The employee may occasionally be required to move throughout office, laboratory, manufacturing, warehouse, and utility areas to support projects, system implementations, troubleshooting activities, vendor engagements, and stakeholder interactions.
- When accessing operational areas, the employee must be able to comply with all safety requirements, including the use of required Personal Protective Equipment (PPE) such as safety glasses, hearing protection, safety shoes, hair/beard coverings, laboratory coats, or other equipment as applicable. The employee may occasionally be required to climb stairs, walk extended distances across the site, and navigate manufacturing or technical environments.
Work Environment
- This position is based primarily in an office environment with regular interaction across manufacturing, laboratory, warehouse, utility, and other operational areas. The employee will work both independently and collaboratively with cross-functional teams, including Information Technology, Manufacturing, Quality, Engineering, Technical Operations, and Laboratory personnel.
- The role requires regular on-site presence to support business operations, stakeholder engagement, system implementation activities, and digital transformation initiatives. On-site presence is expected approximately 50-100% of the time based on business needs.
- While performing the duties of this position, the employee may be exposed to manufacturing and laboratory environments, including varying temperatures, equipment noise, and controlled production areas. Appropriate PPE and adherence to all site safety procedures are required when entering operational areas.
- This position may require occasional work outside of normal business hours, including evenings, weekends, holidays, or support during critical system implementations, maintenance activities, production campaigns, audits, inspections, or business continuity events.
Supervisory Responsibilities
This 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 in support of LOTTE Biologics.
Travel
This position will require less than 5% travel.
Target Bonus
16%
Work Location:
East Syracuse, NY
New York Pay Range
$91,000—$142,000 USD
We are an Equal Employment Opportunity (“EEO”) Employer.
We believe that women, people of color, veterans and LGBTQ communities must participate in the work we do, so we strongly encourage applications from people with these identities or who are members of underrepresented communities! If this is the work that you want to do, in a culture of inclusion and excellence with the goal of making our world to be a healthier place, then please apply today!
