Director-Technology Delivery-AI&Data
Accenture
- Location
- Location Negotiable
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 998 approvals (FY2023)
- Posted
- Sep 10, 2026
Skills
About this role
We Are: Accenture Digital Core, the Reinvention Partner helping the world's leading enterprises rebuild their technology foundations for the AI era. Within Digital Core, our AI-Ready Data practice builds trusted, governed, and AI-ready data foundations — the fuel that powers agentic and generative AI at enterprise scale. We work across data migration, data modernization, and knowledge engineering, turning legacy data estates into intelligence-first platforms. Want to shape and lead the engagements — and the practice — that make that transformation real for our clients? Read on to learn more about this role and who we are looking for . You Are: An experienced Data & AI delivery leader and trusted advisor who owns the client relationship as much as the delivery outcome. As an Associate Director within our AI-Ready Data tower , you are the accountable Technology Delivery Lead for our largest and most complex data migration and modernization engagements — the person a client CIO or CDO calls when they need confidence the program is on track, and the person a client Chief Architect calls when a technical decision needs an experienced second opinion. You bring proven delivery leadership across cloud data platforms, the gravitas to manage multiple senior stakeholder relationships simultaneously, and the commercial and people leadership skills to grow both the engagement and the practice around it. You coach Senior Managers and delivery leads, contribute to the AI-Ready Data offering's growth, and help define how Accenture delivers data-driven reinvention at scale.
What you'll be doing
Delivery Leadership Hold end-to-end accountability for delivery of our largest data migration and data modernization programs — scope, budget, timeline, quality, and risk — often across multiple concurrent workstreams or towers. Set and own delivery governance for the engagement: steering committee cadence, executive status reporting, RAID and dependency management, and cutover/hypercare planning for programs at enterprise scale. Own escalation management for the account, resolving or reframing critical risks before they reach the client relationship or executive sponsors. Champion and scale adoption of Accenture's AI-accelerated migration methodology, Data Product Factory, and related delivery assets to compress timelines and improve outcomes across the account. Client & Executive Stakeholder Management Serve as the primary delivery-side relationship owner with client C-suite and senior technology executives (CDO, CIO, VP Data & Analytics), building trust through consistent, transparent program governance. Partner with client Chief Architects and technology leads on complex, cross-cutting design and modernization decisions, ensuring architecture choices support delivery feasibility and long-term data strategy. Represent Accenture in executive steering committees, business reviews, and value-realization conversations, connecting delivery progress to the client's broader data and AI strategy. Identify and shape opportunities for account growth, bringing new AI-Ready Data offerings (data modernization, knowledge engineering, managed services) into existing client relationships. Team, Talent & Practice Leadership Lead large, multi-functional, often multi-geography delivery teams (data engineering, architecture, quality engineering, business analysis), setting the operating rhythm and culture for the engagement. Mentor and develop Senior Managers and delivery leads, building a pipeline of future delivery leadership within the practice. Contribute to AI-Ready Data practice-building activities — reusable delivery assets, offering development, proposal support, and eminence-building (points of view, case studies, client-facing thought leadership). Support commercial ownership of the engagement — staffing plans, effort estimation, margin/utilization tracking, and input into SOWs and contract structuring. Technical Credibility Maintain strong