About the Role We’re seeking a **Program Delivery Specialist** to help drive the execution of key programs and projects within our **Data & Analytics (D&A)** and **AI Roadmap** . This role will partner closely with BI Engineers, Data Engineers, and Data Scientists to ensure high-quality, timely delivery of strategic initiatives. You will operate as a structured, execution-focused force across programs—ensuring that priorities are aligned, timelines are managed, and outcomes are realized. Key Responsibilities + Own the delivery cadence of key Data & AI initiatives (dashboards, data pipelines, AI automation pilots, etc.) + Drive and manage technical project plans, dependencies, risks, and cross-functional stakeholder communication + Facilitate team planning, sprint execution, backlog prioritization, and retrospectives where needed (Agile or hybrid delivery) + Operate tools such as Jira, DevOps Boards, and collaborative workspaces to maintain visibility and transparency + Partner with Team Leads to ensure alignment between engineering capacity and delivery timelines + Track and report program-level health metrics, timelines, and blockers to regional/global stakeholders + Work with Data/AI leadership to translate high-level objectives into actionable milestones + Proactively identify delivery bottlenecks and implement corrective actions + Help develop and continuously improve our delivery frameworks and program governance practices Qualifications + 5+ years of experience in technical program/project delivery within Analytics, Data Engineering, or AI environments + Strong working knowledge of Agile/Scrum or Kanban methodologies, but not limited to strict ceremony execution + Experience working with tools like Jira, Azure DevOps, Confluence, or equivalent + Familiarity with data pipelines, BI dashboards, cloud platforms, or AI/ML project lifecycle + Excellent organizational and communication skills; capable of driving clarity across technical and non-technical stakeholders + Proven ability to manage multiple initiatives simultaneously in a fast-paced, distributed team + Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field Nice to Have + Background working with LLMs or GenAI platforms (e.g. Vertex AI, Azure OpenAI, LangChain, etc.) + Familiarity with DevOps CI/CD pipelines or ML Ops + Prior experience supporting global teams across time zones What Success Looks Like • Programs are delivered on-time and with high quality • The team has clarity of priorities and minimal delivery friction • Our D&A and AI initiatives scale faster and more predictably • Stakeholders are consistently informed and engaged Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.