Technical Program Manager

ABOUT THE ROLE

We are looking for an experienced Technical Program Manager to drive the delivery of complex, large-scale technology initiatives spanning Cloud infrastructure, AI/ML platforms, and Enterprise Architecture. You will operate at the intersection of technology strategy and execution — bridging the gap between engineering teams, product stakeholders, and executive leadership.

You are both a systems thinker and a hands-on operator, equally comfortable discussing cloud architecture patterns as you are managing cross-functional program cadences and aligning delivery to organizational OKRs.

KEY RESPONSIBILITIES

• Own end-to-end program delivery for large-scale Cloud and AI/ML platform initiatives, from strategy through launch and continuous improvement.
• Partner with Enterprise Architects to ensure program deliverables align to the target-state architecture, driving consistency across domains.
• Lead cross-functional Agile Release Trains and program increments; facilitate PI Planning, sprint reviews, retrospectives, and dependency management.
• Build and maintain comprehensive program plans, risk registers, and stakeholder communication frameworks for programs spanning multiple engineering teams.
• Translate ambiguous business and technology requirements into well-scoped, executable epics, features, and milestones with clear acceptance criteria.
• Define, track, and communicate engineering KPIs and delivery metrics (lead time, deployment frequency, DORA, SLOs) to senior leadership.
• Manage AI/ML program portfolios including MLOps platform build-out, model deployment pipelines, and responsible AI compliance checkpoints.
• Identify and proactively mitigate technical, resource, and delivery risks, escalating blockers with recommended resolution paths.
• Drive cloud migration and modernization programs in collaboration with infrastructure, security, and application teams.
• Foster a culture of engineering excellence, continuous delivery, and psychological safety across distributed teams.

CORE COMPETENCY AREAS

● Cloud Platforms

– AWS, Azure, or GCP at scale

– Cloud-native architecture patterns

– Multi-cloud & hybrid environments

– FinOps & cost governance

● AI / ML

– MLOps & model lifecycle management

– GenAI & LLM platform delivery

– Data pipelines & feature stores

– Responsible AI governance

● Enterprise Architecture

– TOGAF or similar frameworks

– API & microservices strategy

– Legacy modernization programs

– Technology roadmap alignment

● Agile Delivery

– SAFe, Scrum, Kanban at scale

– PI Planning & ART coordination

– OKR-driven delivery models

– Engineering velocity & metrics

MUST HAVE

• 8+ years in technical program or project management

• Proven delivery of cloud-native programs at scale

• Hands-on experience with AI/ML or data platform programs

• Strong Agile & SAFe practitioner (certification a plus)

• Deep understanding of enterprise architecture concepts

• Exceptional stakeholder management up to C-suite

• Experience with Jira, Confluence, or equivalent tooling

NICE TO HAVE

• Cloud certifications (AWS Solutions Architect, GCP Pro, etc.)

• PMP, PgMP, or SAFe SPC certification

• Background in software engineering or solutions architecture

• Experience with GenAI / LLM production deployments

• Familiarity with TOGAF or other EA frameworks

• FinOps or cloud cost optimization experience

• Exposure to platform engineering or developer experience programs