Technical Delivery Manager

Stellenbeschreibung:

Own end-to-end delivery roadmaps for AI/ML programs, including ML model development, training/fine-tuning, LLM implementations, and model evaluation workstreams
Translate client requirements and business goals into delivery plans, milestones, and success metrics
Track scope, timelines, budgets, and resourcing across multiple concurrent AI/ML projects; flag slippages and drive corrective action
Establish and maintain governance cadences, including status reviews, steering committee updates, and sprint/iteration reviews
Serve as the single point of contact for clients from day-to-day contacts through CXO-level stakeholders
Run client check-ins, business reviews, and escalation calls; present delivery status, risks, and outcomes
Capture and validate client expectations against delivered work and address gaps proactively
Build trusted-advisor relationships supporting account growth and renewal
Coordinate practice heads, engineering, hiring/talent acquisition, and operations around delivery plans and priorities
Coordinate staffing and hiring pipelines with TA/HR
Validate solution approaches, technical feasibility, and effort estimates with practice and technical leads
Partner with operations on resourcing, utilization, invoicing/billing milestones, and contractual compliance
Identify delivery risks and drive mitigation plans
Own issue and escalation management through resolution and transparent client communication
Drive continuous improvement in delivery processes, templates, and playbooks
Maintain real-time program-health visibility for leadership and client stakeholders
Prepare and present executive-level dashboards and reviews
Track and meet contractual SLAs, deliverable timelines, and commercial commitments

Requirements

Bachelor's degree in engineering, Computer Science, or related field
Prior experience in an IT services, consulting, or AI/ML solutions provider environment
Exposure to LLM/GenAI project delivery, including RAG pipelines, fine-tuning, agentic workflows, and evaluation frameworks
8+ years of experience in technical program/delivery management
At least 2-3 years specifically managing AI/ML, data science, or data engineering programs
Experience as the primary client-facing SPOC for enterprise or CXO-level stakeholders
Strong working knowledge of the ML/AI project lifecycle, including model training/fine-tuning, LLM-based solution delivery, model evaluation, and MLOps concepts
Ability to manage multiple concurrent, cross-functional programs in a matrixed environment
Excellent executive communication and presentation skills; ability to translate technical detail into business impact for CXO audiences
Experience with program/delivery tooling such as Jira, Asana, MS Project, and Confluence, plus reporting/dashboarding tools

Core Competencies

Demonstrates expertise in managing AI/ML program delivery, including model development, training, and evaluation, while effectively communicating with CXO-level stakeholders. Proven ability to track project scope, timelines, and budgets, ensuring alignment with client expectations and contractual commitments.