Technical Program Manager

Program & Delivery Leadership

• Lead end?to?end delivery of AI?driven and data?centric programs, including application development, data pipelines, ML model enablement, and integration with enterprise platforms.
• Own delivery roadmaps across multiple concurrent, interdependent workstreams spanning software engineering, data architecture, cloud infrastructure, and operations.
• Drive execution using Agile, hybrid?Agile, and scaled delivery models, ensuring alignment between product, engineering, data science, and business stakeholders.

Technical Execution & Architecture Alignment

• Partner closely with AI engineers, data scientists, platform engineers, and enterprise application teams to ensure programs are technically feasible, scalable, and secure.
• Translate architectural concepts (e.g., data lakes, ML pipelines, APIs, microservices, model lifecycle management) into executable plans, milestones, and dependency maps.
• Ensure alignment between AI software platforms and Vertiv's broader ecosystem, including operational systems, manufacturing data, digital twins, and infrastructure telemetry.

Stakeholder & Governance Management

• Serve as the primary execution interface between technical teams and senior business leaders, ensuring clarity on scope, risks, tradeoffs, and outcomes.
• Establish program governance, KPIs, delivery dashboards, and risk mitigation plans for executive visibility.
• Manage global, distributed teams across onshore and offshore delivery models.

Operational Excellence

• Implement best practices for release management, dependency tracking, and change control in fast?moving AI and software environments.
• Proactively identify delivery risks related to data quality, model readiness, infrastructure constraints, or integration complexity.
• Support continuous improvement across program execution, tooling, and delivery cadence.

• 8-12+ years of experience leading technical projects or large?scale programs within application development, data engineering, AI/ML, or digital platforms.
• Strong technical fluency in areas such as:
• Enterprise and cloud application development
• Data platforms (data lakes, streaming, analytics)
• AI/ML lifecycle concepts (model development, training, deployment, monitoring)
• Proven experience managing cross?functional engineering teams in complex, matrixed environments.
• Deep understanding of Agile / SAFe / hybrid delivery methodologies.
• Ability to communicate effectively with both hands?on engineers and executive leadership.

Preferred / Nice?to?Have

• Experience supporting AI?enabled products, advanced analytics platforms, or large?scale digital transformation programs.
• Background in industrial, infrastructure, manufacturing, or data?center?adjacent environments.
• Familiarity with cloud ecosystems (AWS, Azure, GCP), DevOps/MLOps concepts, and modern integration patterns.
• Experience working within Global Delivery or GCC models.
• Exposure to regulated or mission?critical environments where reliability and scalability are paramount.