Project manager

Assignment Description We are looking for a Project manager. Software Development AI Platform Ownership Act as the primary owner and coordinator for AI-assisted software development platforms, including: GitHub Copilot Claude Code Future AI coding assistants and engineering productivity solutions Responsibilities include: Leading rollout and adoption activities Defining onboarding processes Managing stakeholder engagement Driving user adoption and satisfaction Supporting operational governance and lifecycle management Claude Code and Github Copilot Service Delivery and Operations Own the organizational deployment and lifecycle management of Claude Code. Key activities: Coordinate enterprise rollout of Claude Code Manage allocation and reallocation of licenses Monitor utilization and consumption Ensure licenses are assigned to users generating business value Establish governance processes for onboarding, offboarding, and license transfers Provide usage insights and recommendations to leadership Cross-Functional Coordination Work closely with multiple internal and external stakeholders including: ServiceNow teams IT Service Portfolio (ITSP) Procurement Infrastructure teams Enterprise Architecture Security and Compliance teams AI and Software Engineering Communities Responsibilities include: Defining and improving operating processes Streamlining request management Automating allocation and approval workflows Supporting integrations and service improvements Ensuring operational alignment across teams Cost Management and Value Realization Manage the financial governance of AI engineering tools. Key activities: Establish cost allocation processes Support cost center chargeback models Track license consumption and utilization Provide budgeting inputs and forecasts Ensure business value can be traced back to investments Support leadership with usage and ROI reporting Training and Adoption Enablement Act as the lead enablement resource for AI-assisted software development. Responsibilities: Create and maintain training material Conduct user onboarding sessions Deliver awareness campaigns and workshops Share best practices and success stories Support engineering teams in day-to-day adoption The goal is not only tool deployment but successful adoption and effective usage. Technology Monitoring and Industry Awareness Continuously monitor developments in: Claude Code Anthropic ecosystem GitHub Copilot Microsoft AI development capabilities Open-source coding assistants Local and private AI development solutions Responsibilities include: Evaluating newly released features Assessing business impact Communicating relevant updates to stakeholders Recommending improvements to current operating models Future Technology Exploration Evaluate alternatives and complementary solutions beyond current tools. Examples: On-premises coding assistants Self-hosted AI development platforms Secure enterprise LLM solutions Open-source development assistants Agentic software engineering tools Responsibilities: Conduct proof-of-concept activities Develop business cases Assess security, compliance, and scalability Recommend strategic direction for future engineering productivity platforms Continuous Improvement Drive ongoing improvements through: User feedback collection Adoption metrics Productivity measurements Cost analysis Operational reviews The role should identify opportunities to optimize tooling, governance, training, and engineering outcomes. Software Engineering Practices and Development Excellence Act as a trusted advisor to software engineering teams on how AI-assisted development tools should be integrated into modern software delivery practices. Responsibilities include: Establishing and promoting best practices for effective use of AI-assisted software development tools across the software development lifecycle. Coaching development teams on how to use GitHub Copilot, Claude Code, and future AI coding assistants to maximize productivity while maintaining code quality and engineering standards. Providing guidance on AI-assisted software design, coding, testing, debugging, refactoring, documentation, and code review practices. Defining guardrails and recommended usage patterns to ensure secure, maintainable, and scalable software development. Working with engineering leaders, architects, and development teams to identify opportunities for improving developer productivity and delivery effectiveness. Supporting teams in adapting software development methodologies and workflows to take advantage of AI-assisted engineering capabilities. Staying current with emerging software engineering practices, AI-native development approaches, agentic software engineering concepts, and industry-leading development frameworks. Contributing to the definition of engineering standards, reference practices, and recommended ways of working for AI-assisted software development. Helping teams measure and improve outcomes related to development productivi