Technical Delivery Manager

Orion Innovation is a premier, award-winning, global business and technology services firm.  Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.  We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Role Overview

We are seeking an accomplished Senior Technical Delivery Manager to lead the architecture, engineering, and delivery of large-scale data, analytics, and AI platforms. This role requires a rare combination of deep technical expertise, enterprise architecture experience, and proven leadership of globally distributed, multidisciplinary teams.

The successful candidate will manage a global organization of approximately 150 resources across data engineering, software engineering, cloud, DevOps, quality engineering, architecture, analytics, AI, and program management. The individual must remain technically hands-on, confidently engage with engineering teams, and partner with enterprise Architecture Review Boards to drive scalable and secure technology decisions.

Key Responsibilities

Technical Delivery and Program Leadership

• Lead the end-to-end delivery of complex, enterprise-scale data, analytics, application, and AI programs.
• Manage a globally distributed team of approximately 150 professionals across multiple disciplines, locations, vendors, and time zones.
• Establish program governance covering scope, schedule, budget, dependencies, quality, risks, resources, and executive reporting.
• Translate business objectives into actionable technology roadmaps, delivery plans, and measurable outcomes.
• Manage multiple concurrent workstreams while maintaining alignment across architecture, engineering, DevOps, security, testing, and operations.
• Drive delivery predictability through effective planning, dependency management, risk mitigation, and outcome-based performance metrics.
• Build strong relationships with senior business leaders, product owners, engineering leaders, and technology partners.

Data and Analytics Platform Engineering

• Provide hands-on technical leadership for large-scale implementations using Databricks and Microsoft Fabric.
• Design and deliver modern enterprise data platforms, including data lakes, lakehouses, warehouses, data pipelines, semantic models, and analytics solutions.