Technical Delivery Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of comprehensive delivery roadmaps for AI/ML initiatives, encompassing ML model development, training/fine-tuning, LLM implementations, and model evaluation workstreams.

• Convert client requirements and business objectives into actionable delivery plans, including milestones and success metrics.

• Monitor scope, timelines, budgets, and resources across various concurrent AI/ML projects; identify delays and implement corrective measures.

• Establish and uphold governance routines, including status updates, steering committee meetings, and sprint/iteration reviews.

• Act as the primary point of contact for clients, engaging with both day-to-day contacts and CXO-level stakeholders.

• Conduct client check-ins, business reviews, and escalation discussions; communicate delivery status, risks, and outcomes effectively.

• Capture and verify client expectations against delivered outcomes, proactively addressing any gaps.

• Develop trusted-advisor relationships to facilitate account growth and renewal.

• Collaborate with practice heads, engineering teams, talent acquisition, and operations to align on delivery plans and priorities.

• Manage staffing and hiring pipelines in coordination with TA/HR.

• Assess solution approaches, technical feasibility, and effort estimates alongside practice and technical leads.

• Partner with operations to ensure alignment on resourcing, utilization, invoicing/billing milestones, and adherence to contracts.

• Recognize delivery risks and implement mitigation strategies.

• Oversee issue and escalation management until resolution, ensuring transparent communication with clients.

• Promote continuous improvement in delivery processes, templates, and playbooks.

• Maintain real-time visibility into program health for leadership and client stakeholders.

• Prepare and deliver executive-level dashboards and reviews.

• Monitor and fulfill contractual SLAs, deliverable timelines, and commercial obligations.

⛳️ Requirements

• Bachelor’s degree in engineering, Computer Science, or a related discipline.

• Previous experience in an IT services, consulting, or AI/ML solutions provider setting.

• Familiarity with LLM/GenAI project delivery, including RAG pipelines, fine-tuning, agentic workflows, and evaluation frameworks.

• Over 8 years of experience in technical program or delivery management.

• At least 2–3 years of direct experience managing AI/ML, data science, or data engineering programs.

• Proven experience as the primary client-facing SPOC for enterprise or CXO-level stakeholders.

• Strong understanding of the ML/AI project lifecycle, including model training/fine-tuning, LLM-based solution delivery, model evaluation, and MLOps principles.

• Capability to manage multiple concurrent, cross-functional programs in a matrixed environment.

• Exceptional executive communication and presentation skills; adept at translating technical details into business impacts for CXO audiences.

• Proficient with program and delivery tools such as Jira, Asana, MS Project, and Confluence, in addition to reporting and dashboarding tools.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work environment with remote work options.

• Engaging company culture with team-building activities and events.