Your responsibilities
Team Member Capability and Career Developmento Proactively identifies and develops future-focused engineering team capabilities, aligning with long-term strategic goals.
o Mentors team members on long-term career paths, creating new opportunities and roles within the organization to support their growth.
o Addresses and helps resolve complex, systemic roadblocks that impact multiple development teams, and coaches other managers on effective performance management.
o Oversees the technical and soft skill development, ensuring a balanced and high-performing talent portfolio.
Team Health and Sustainabilityo Establishes and monitors metrics for team health and sustainability across several development teams, implementing strategies to ensure long-term balance.
o Designs and implements initiatives to improve collaboration and psychological safety across multiple related development teams or a whole product area.
o Proactively identifies and resolves systemic impediments that affect multiple development teams, improving the overall work environment.
o Manages the talent composition for own and related teams, planning for future needs and ensuring a healthy pipeline of skills.
Product and Service Delivery Leadershipo Co-creates the multi-year architecture vision and technology strategy for our 3 core contextual platforms, partnering closely with AI, R&D, Clinical, Commercial, DIA, Manufacturing, Group Processes, and Enterprise Product Leaders.
o Architect of "Data for AI & AI for Data": orchestrates dependencies across complex platform pipelines to ensure real-time enterprise context is discoverable, actionable, and secure.
o Drives initiatives to improve engineering processes and collaboration models across a whole product group or department.
o Accountable for the global delivery, reliability, and security of enterprise knowledge graphs, semantic layers, and ontology management services powering generative AI and LLM agents.
o Navigates high-stakes, cross-functional dependencies across global business units, aligning senior stakeholders on unified semantic architecture standards.
o Drives continuous modernization of platform engineering, CI/CD for ontologies/graphs, and lean agile methodologies across the global data and AI engineering organization.
Performance & Optimizationo Defines success metrics around AI context quality, semantic query latency, ontology adoption, and measurable business impact across scientific and operational domains.
o Synthesizes complex technical insights into compelling strategic narratives for leadership, directly influencing future AI and enterprise data investments.
o Spearheads step-change optimization efforts in enterprise data mesh architectures, ontology evolution, and semantic graph performance to deliver rapid scale.
Financial & Resource Mgmt.o Supports the development of business cases for large initiatives or new product lines, working with product and finance partners to justify investment.
o Manages resource allocation across multiple projects, making trade-offs to optimize for portfolio-level goals and strategic priorities.
o Manages the team's budget, including headcount, operational costs, and vendor contracts, ensuring financial responsibility.