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AI Data Engineering Lead – Vice President at BlackRock | JobVerse
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AI Data Engineering Lead – Vice President
BlackRock
Website
LinkedIn
AI Data Engineering Lead – Vice President
United Kingdom
Full Time
2 hours ago
Visa Sponsorship
Apply Now
Key skills
AI
Analytics
SaaS
Agile
Leadership
Stakeholder Management
Product Management
Communication
About this role
Role Overview
Lead a team of AI agent engineers and data scientists setting technical direction and managing delivery
Own end-to-end solution design & delivery for complex AI features across multiple AI engineering squads
Drive backlog prioritization at the product-area level
Run sprint planning, team stand-ups, and retrospectives
Proactively engage between the Product Management, business stakeholders and AI engineering
Partner with Product Managers to shape feature roadmaps
Define and enforce quality standards for user story delivery
Lead post-implementation validation efforts
Support product activation and customer adoption
Define organization-wide standards for user story authoring, solution design, and delivery quality
Coach and mentor team members, conduct performance conversations and contribute to hiring decisions
Identify systemic delivery bottlenecks and drive process improvements
Requirements
Minimum 6-8 years of experience in AI Engineering Delivery Lead, AI Program Lead, or Engineering Manager roles
At least 2-3 years operating as AI Engineering Principal within a SaaS, AI, or data-product organization
Deep expertise and proven experience in AI solution design and technical scoping for AI-driven features
Strong command of scaled Agile delivery, cross-team dependency management, and delivery governance frameworks
Ability to engage meaningfully with AI engineers and data scientists on architecture decisions
Fluency in the AI product development lifecycle
Solid understanding of evaluation approaches for AI outputs
Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs
Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks
Deep understanding of responsible AI principles.
Executive-level communication skills
Excellent communication and stakeholder management skills
Strong strategic thinking and analytical skills
Emotional intelligence and people-first leadership style.
Business acumen.
Benefits
retirement investment and tools designed to help you in building a sound financial future
access to education reimbursement
comprehensive resources to support your physical health and emotional well-being
family support programs
Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Apply Now
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