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The DAAI Delivery Manager at NTT DATA will lead the delivery of the U.S. Bank Data, Analytics & AI portfolio, ensuring high-quality execution across complex programs. The role requires over 10 years of experience in technology delivery, particularly in regulated industries, with a strong focus on data and AI solutions. The ideal candidate will possess excellent leadership and communication skills, along with a deep understanding of financial management and risk compliance.
Job Responsibility:
Own end-to-end delivery for the U.S. Bank Data & AI portfolio, including platform, analytics, AI/ML, and GenAI initiatives
Ensure delivery outcomes align with business objectives, regulatory expectations, and architectural standards
Establish and maintain delivery governance, cadence, and reporting across all programs and workstreams
Proactively manage delivery risks, dependencies, and escalations in a highly regulated financial services environment
Serve as the primary delivery point of contact for U.S. Bank technology, data, AI, and risk stakeholders
Build trusted relationships with client leaders across engineering, architecture, risk, compliance, and product
Lead executive-level delivery reviews, QBRs, and steering committee updates
Partner with account and practice leadership to support account growth through consistent delivery performance
Own delivery financials including revenue, margin, forecasting, and variance management
Manage SOW execution, change control, and scope governance
Ensure accurate demand planning, staffing, and utilization across onshore, nearshore, and offshore teams
Lead and mentor Delivery Leads, Program Managers, Scrum Masters, and Technical Leads
Collaborate with Data & AI Practice leadership on capability alignment and talent strategy
Drive a culture of accountability, transparency, and continuous improvement
Ensure teams adhere to enterprise delivery, security, and compliance standards
Ensure delivery aligns with U.S. Bank’s risk, control, and audit requirements
Support evidence collection, documentation, and audit readiness for Data & AI programs
Embed security, privacy, and responsible AI practices into delivery execution
Requirements:
10+ years of experience in technology delivery, with significant experience in Data, Analytics, AI, or Cloud platforms
Proven experience leading large, multi‑workstream programs in financial services or other highly regulated industries
Strong understanding of Data & AI delivery lifecycles, including platforms, analytics, ML, and GenAI
Demonstrated success managing client-facing delivery at the executive level
Experience owning delivery P&L, forecasting, and commercial governance
Deep knowledge of Agile, hybrid, and scaled delivery models
Nice to have:
Experience delivering programs within large U.S. banking institutions
Familiarity with Azure-based Data & AI ecosystems (data platforms, ML, GenAI, governance tooling)
Experience working with risk, compliance, and audit stakeholders in AI-enabled programs
Background in consulting or systems integration environments
Strong executive communication and storytelling skills