What are the responsibilities and job description for the Technical Program Manager position at Anblicks?
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