Data as a Product Lead

Lead the overall Data-as-a-Product transformation program and drive the translation and execution of the strategic objectives and roadmap towards Lonza's long-term vision into actionable programs, priorities, and milestones.

Orchestrate and align the Data as a Product cross-functional workstreams spanning business platforms, global functions, IT, and external partners.

Accountable for end-to-end program execution and delivery of technology foundation as well as operating model.

Ensure alignment with Advanced Industry and business-platform objectives.

Ensure continuous alignment with the overall IT Strategy and Target Architecture.

Clarify roles, responsibilities, ownership and decision-making authority throughout the program.

Ensure Business, Technology Architecture, GE Delivery, IT/OT Delivery, Quality and Project Management activities remain aligned.

Drive timely decision-making and resolution of cross-functional and cross-platform issues.

Work closely with all stakeholders to monitor external trends and translate emerging opportunities into strategic recommendations and roadmap priorities.

Act as primary program representative towards Sponsors, Steering Committee and Executive stakeholders.

Maintain overall accountability for program scope, budget, schedule and delivery outcomes.

Ensure workstream priorities, resources and plans remain aligned with program objectives.

Govern value hypotheses, benefit realization activities and success measures.

Ensure that Lighthouse architecture and Manufacturing Information Model are delivered to support future Lonza wide network adoption.

Ensure Data Products deliver measurable business value through operational capabilities, support of current and future internal data services, protection of Lonza IP and confidential data as well as high value external data monetization opportunities.

Drive the identification, prioritization, and development of commercial data offerings across manufacturing, quality, supply chain, and commercial domains.

Maintain alignment between program investments, business priorities and expected value delivery.

Build stakeholder commitment, secure resources, and drive adoption of the Data-as-a-Product vision across the organization.

Establish and maintain effective program governance and stakeholder engagement.

Establish and chair the Data-as-a-Product Team and maintain communication with the Steering Committee.

Ensure program risks, issues and dependencies are appropriately managed and escalated.

Build alignment across business platforms, functions, sites and partner organizations.

Lonza is a global leader in life sciences operating across five continents. The Data-as-a-Product Lead is a core member of the Advanced Industry Leadership Team and leads an integrated program coordinating across Lonza Business platforms, Engineering, Global IT/OT, Quality, Supply Chain and external delivery partners. The program aims to establish scalable data products, customer-facing data services, operational capabilities, reusable data products, scalable operating models and a deployment blueprint for future network-wide adoption. It aligns with the One Lonza Advanced Industry Program and digital business platform objectives.

• Bachelor or Master in Data, Science IT, Engineering, Life Sciences, Business Administration, Operations Management or a related discipline

• Highly Experienced in Manufacturing & Business Transformation

• Highly Experienced in Large-Scale Program Leadership

• Ability to define and communicate a compelling vision, align diverse stakeholder groups and lead complex cross-functional transformation initiatives from concept through value realization.

• Strong understanding of manufacturing operations, process performance, operational excellence and the practical realities of operating GMP- regulated manufacturing environments

• Ability to connect business objectives, operational challenges, data, technology and digital capabilities into a coherent transformation roadmap and measurable business outcomes

• Ability to understand complex interdependencies across business processes, manufacturing systems, data flows, operating models and organizational structures, and translate them into pragmatic solutions

• Demonstrated ability to break down organizational silos, build consensus across functions and establish shared ownership across business, quality, engineering, IT, OT and operations teams

• Ability to simplify complex technical and business topics, communicate effectively with both executives and subject matter experts and drive decision- making across multiple organizational levels

• Experience establishing effective governance models, managing program risks, resolving conflicts and balancing competing priorities while maintaining alignment to strategic objectives

• Ability to translate investments into measurable operational outcomes, define success criteria, manage trade-offs and ensure delivery remains focused on business value