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.
CORE COMPETENCY AREAS
– AWS, Azure, or GCP at scale
– Cloud-native architecture patterns
– Multi-cloud & hybrid environments
– FinOps & cost governance
– MLOps & model lifecycle management
– GenAI & LLM platform delivery
– Data pipelines & feature stores
– Responsible AI governance
– TOGAF or similar frameworks
– API & microservices strategy
– Legacy modernization programs
– Technology roadmap alignment
– SAFe, Scrum, Kanban at scale
– PI Planning & ART coordination
– OKR-driven delivery models
– Engineering velocity & metrics
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.
Requirements
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
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