Executive Director, Strategy & Business Operations, Global R&D Technology Solutions

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

BeOne is a global biopharmaceutical company dedicated to the discovery and development of innovative drug therapies for the treatment of cancer. The Global Technology Solutions (GTS) organization is responsible for data, digital, technology & AI infrastructure, platforms, systems, and services that provide the foundation, maturity, governance, and innovation needed to serve patients around the world. At BeOne we believe that access to life-changing medicine sees no borders, and GTS makes this possible by delivering a cloud-based backbone and SaaS systems for efficient delivery, growth, and maintenance, while positioning our staff to demonstrate their domain, technical, and governance expertise as partners of the BeOne global team.

General Description:

The Executive Director, Strategy & Business Operations, Global R&D Technology Solutions is responsible for the overall business strategy & operational management of the processes, programs, governance bodies and capability areas that the Global R&D Technology Solutions organization needs for successful delivery of its business outcomes.

As a member of the GRDTS Leadership Team, the Executive Director is an active contributor to developing and executing GRDTS’ business strategy & defining, developing & operationalizing key capability areas.

A successful candidate is a dynamic leader and business relationship manager who brings deep end-to-end R&D domain knowledge, advanced skills in operations management & strategy with technical expertise in foundational FAIR data principles, technology platforms, cloud/SaaS environments, products and tools. Strong experience in cloud/SaaS environments, ability to manage multiple projects across different functions in a global, geographically diverse environment, and building and sustaining teams in times of ambiguity are all critical success factors for this role. An ideal candidate will adapt communication cadences and problem-solving skills to accommodate customers, partners, and team members, exercise diplomacy and effective influence to reach consensus, and build strong stakeholder relationships.

Essential Functions of the job:

Strategy & Business Operations Leader for the GRDTS organization

• Business Strategy & Operational Plan Development: Consult with the GRDTS LT to understand R&D’s functional strategy, priorities, and unmet data/technology/process needs and create a business strategy and an operational plan for the GRDTS organization to successfully deliver on its annual goals.

• Establish Key Performance Indicators (KPIs) and success metrics to track progress against enterprise goals and ensure the strategy remains adaptable to shifting market conditions.

• Process Optimization & Innovation: Define, design and stand-up a process optimization capability area within GRDTS. Capability remit will include assessment of new & existing workflows to design optimized processes by leveraging automation, data, digital, technology tools, ML, AI, and Generative AI. Establish a continuous improvement framework and conduct ROI analysis on automation initiatives to ensure technology investments deliver tangible productivity gains.

• FAIR Data & Ontology: Partner with R&D and Business Partner teams within GRDTS to implement comprehensive FAIR data, technology & methods strategies (Findable, Accessible, Interoperable, Reusable).

Lead the conceptualization, design, development & implementation of anontology framework including roles, permissions, workflows, and standards for the creation, management, evolution, and use of ontologies across the organization, including oversight of the following components:

• End-to-end design, development, and management of domain-specific ontologies

• Key concepts, terms, and relationships

• Translation of the conceptual model from SMEs into a formal, machine-readable ontology language (like OWL or RDF).

• Working as a bridge between domain knowledge and technical implementation.

• Ensuring the ontology is accurate, up-to-date, and aligns with an upper ontology as necessary.

• Ensuring the ontology can be effectively used across different systems and applications.

• Selection and use of appropriate technology and tools (e.g., ontology editors, graph databases, specific software