Technical Program Lead
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Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
We are hiring an Technical Program Lead to drive enterprise-grade AI initiatives from concept to production. This is a hands-on leadership role that blends technical architecture program execution and stakeholder governance to deliver measurable outcomes on complex AI programs.
You will translate business needs into a buildable AI solution blueprint align data/app/integration dependencies guide cross-functional teams through iterative delivery and ensure production readiness across security reliability and operational excellence. The scope spans GenAI and classic AI/ML use cases including agents RAG document intelligence analytics and automationintegrated into enterprise applications and cloud ecosystems.
This role requires strong stakeholder management crisp communication for exec audiences and practical understanding of the AI delivery lifecycle (planning build validation deployment monitoring) to ensure realistic plans and high-quality outcomes. You will also enable high-performing teams through servant leadership metrics-driven delivery and proactive risk/dependency managementoften across global time zones.
Responsibilities
Solution leadership and architecture ownership
- Convert problem statements into a solution blueprint: data flows system boundaries integration approach and deployment model.
- Understand reference patterns for enterprise AI (e.g. RAG vector search tool-using agents document processing pipelines analytics automation).
- Make pragmatic technical decisions that balance speed cost risk and long-term maintainability.
- Own delivery plan milestones dependencies and release readiness across multiple workstreams (data app integration AI security).
- Drive execution discipline: scope control change management risk/issue tracking dependency resolution and delivery predictability.
- Ensure the team builds the right thing (value) and builds it the right way (quality security reliability).
- Define AI acceptance criteria: accuracy/quality metrics evaluation approach test datasets and human-in-the-loop needs where required.
- Suggest guardrails for safe usage: prompt/tool policies data access controls logging/traceability and responsible AI checks.
- Ensure reproducibility and versioning across data prompts/configs and model components.
- Drive go-live readiness across observability performance cost controls rollback strategy SLAs/SLOs and incident response.
- Partner with platform/infra teams for deployment networking identity/SSO integration secrets management and environment hardening.
- Ensure monitoring covers both classic system health and AI-specific signals (drift failure modes response quality).
- Act as the single accountable owner for status trade-offs and decisionscommunicating clearly to technical and business leaders.
- Produce crisp executive updates: progress risks mitigations decisions needed and next milestones.
- Align multiple stakeholders across regions/time zones and keep teams moving despite ambiguity.
- Co-own reusable playbooks templates and reference architectures to accelerate future AI delivery.
- Capture learnings post-release and drive measurable improvements in speed quality and reliability across programs.
Qualifications
Career Level - IC3
Required Experience:
Senior IC
Key Skills
- Project Management Methodology
- Project / Program Management
- Program Management
- Management Experience
- Microsoft Powerpoint
- Project Management
- Microsoft Project
- Budgeting
- DoD Experience
- Leadership Experience
- Supervising Experience
- Contracts
About Company
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when eve ... View more
