Define and execute the product strategy and roadmap for assigned technical product capabilities within ServiceNow University.
Compensation
For positions in this location, we offer a base pay of >, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Define and execute the product strategy and roadmap for assigned technical product capabilities within ServiceNow University.
Partner with ServiceNow University product managers to translate learner needs, product strategies, and roadmap priorities into clear requirements, user stories, acceptance criteria, and delivery plans.
Drive the effective use of Lux and other ServiceNow artificial intelligence and platform capabilities across relevant ServiceNow University experiences.
Lead product discovery for capabilities that span multiple product areas, including personalization, conversational experiences, learner data, search, recommendations, and reusable experience components.
Develop a deep understanding of learners, business needs, platform capabilities, and emerging artificial intelligence technologies to influence product decisions and prioritize investments.
Provide senior architectural leadership for the ServiceNow domain by defining and governing the platform strategy, target architecture and multi-year roadmap, ensuring consistent, scalable and reusable capabilities across the UK firm and connected member-firm processes where required.
Responsibilities
Own the ServiceNow domain strategy, target architecture and multi-year roadmap
Secure architectural integrity across business, application, data, integration, security, cloud and technology-portfolio decisions
Maintain the architecture governance framework, reference architectures, platform standards, data models, solution patterns and decision records
Achieve clear ownership of authoritative data sources, systems of record, platform responsibilities, integration boundaries and controls
Hold strategic accountability for ServiceNow design assurance, chairing design authorities and resolving material decisions, exceptions, risks and cross-platform dependencies
Lead a technical support team for Advanced Distribution Management System (ADMS) software, focusing on modernization of power systems and ensuring resilient operations for utilities.
Responsibilities
Lead daily support operations for Advanced Distribution Management Systems (ADMS), allocating work and balancing priorities to meet service level agreements (SLAs).
Coach and mentor team members, providing technical guidance and promoting knowledge sharing across global support teams.
Drive team accountability for incident resolution, case quality, and effective communication with utility customers and cross-functional partners.
Coordinate complex escalations, perform root cause analysis, and lead continuous service improvement initiatives aligned with Information Technology Infrastructure Library (ITIL) practices.
Partner with technical account managers to deliver stakeholder reports on high-priority incidents and participate in customer service reviews.
Requirements
Bachelor's degree in Electrical Engineering, Computer Science, or a related field
Nice to have: ADMS platforms (Reliance Series 6)
Nice to have: Feature Manipulation Engine (FME)
Nice to have: Common Information Model (CIM) data modeling
Lead sophisticated onboarding, integration, migration, configuration, and adoption activities for enterprise Identity and Access Management platforms.
Responsibilities
Assess consumer needs, technical dependencies, security requirements, control obligations, and lifecycle stage before beginning enablement work.
Plan and lead sophisticated onboarding, integration, configuration, migration, and adoption activities across enterprise Identity and Access Management platforms.
Guide consumers in selecting and applying approved identity patterns for workforce, application, machine, privileged, and partner identities.
Enable the adoption of identity capabilities spanning identity governance, authentication, directory services, privileged access, federation, identity protection, digital trust, certificate services, and related infrastructure.
Coordinate with Engineering when a consumer need requires a platform change, new capability, architectural decision, or exception to an approved pattern.
Requirements
Bachelor's degree in computer science, engineering, cyber field, or a related discipline
Lead the vision, strategy, governance, and development of the Clinical Data Layer to enable secure, efficient data flow across the clinical development lifecycle.
Locations (4)
Brussels, Brussels Capital, Belgium
Monheim, Bavaria, Germany
Slough, Berkshire, United Kingdom
Raleigh, United States
Responsibilities
Own the vision, strategy, governance, adoption, and continued development of the Clinical Data Layer
Define and communicate long‑term vision, roadmap, investment case, and business strategy
Establish governance for data products, metadata, reference data, quality controls, access, stewardship, and value metrics
Lead the vision, strategy, governance, and development of the Clinical Data Layer, enabling secure and efficient clinical data flow across the development lifecycle.
Lead the vision, strategy, governance, and development of the Clinical Data Layer, ensuring secure and efficient data flow from source systems to trusted data products across the clinical development lifecycle.
Compensation
This position's reasonably anticipated salary range is $148,000-$195,000 annually. The actual salary offered will consider internal equity and may also vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience, among other factors.
Responsibilities
Own the vision, strategy, governance, adoption, and continued development of the Clinical Data Layer
Define and communicate long-term vision, roadmap, investment case, and business strategy
Establish governance for data products, metadata, reference data, quality controls, access, stewardship, and measures of platform value
Partner with architecture and technology teams to enable scalable integration, common data models, interoperability, and reusable clinical data flows
Shape safe, high-value uses of artificial intelligence, intelligent automation, semantic models, knowledge graphs, and agent-based capabilities
Requirements
Bachelor’s degree in data science, computer science, clinical informatics, life sciences, technology, statistics, or a related field
Nice to have: led large-scale business transformation involving clinical data, digital capabilities, and global, cross-functional stakeholders in regulated environments
Nice to have: understanding of clinical data standards, metadata management, data architecture, statistical analysis workflows, governance, and the clinical development lifecycle
Nice to have: familiarity with cloud data platforms, data lakes, data products, application programming interfaces, and modern integration patterns
Nice to have: ability to connect business and technical perspectives and understand artificial intelligence, machine learning, agents, semantic layers, and modern data ecosystems
Clinical Data Layer LeadUCB · Monheim, Germany+3 more
Implementation Manager - AssociateJPMorgan Chase & Co. · Mumbai, India