Delivery Leader, Core Financial Systems

Overview

As a Group Delivery Leader at Deloitte, you own delivery across multiple product portfolios, ensuring a cohesive strategy and seamless execution across various segments and service lines. Your extensive experience in program management and project leadership is pivotal in driving strategic alignment, inspiring cross-functional teams, and delivering enterprise IT solutions that meet organizational goals.

You are the senior anchor of the Delivery capability sequencing cross-product initiatives, and own Delivery capability strategy. Portfolio-level coordination across many products and service lines is exactly the work that cannot be pushed into artifacts or automated by AI agents; it requires your judgment, your relationships, and your sustained presence at the top of the Delivery capability.

With a strong focus on operational excellence, customer-centric problem-solving, innovation, and continuous improvement, you guide leaders and teams to achieve peak performance and deliver high-quality outcomes on time and within budget. The ideal candidate will be a visionary leader, mentor, and organizational steward committed to driving success.

What You Will Own

• Cross-portfolio delivery strategy: Set delivery strategy for your service lines and contribute to capability-wide strategy with the Capability Lead.
• Enterprise program leadership: Lead the most consequential enterprise programs — multi-year, multi-service-line, multi-capability transformations — with accountability equivalent to a Principal individual contributor.
• Capability evolution: Partner with the other Capability Leads and serve as the Delivery capability's senior voice with service-line leadership, function heads, and enterprise executives.
• Senior coaching: Coach L6 Delivery Leaders and Delivery Managers. Develop the judgment, stakeholder trust, and craft growth they need to progress.
• AI-workflow governance at portfolio scale: Define how AI agents participate in delivery across portfolios. Govern evaluation criteria, exception handling, and human-in-the-loop policy at scale.
• Own end-to-end LLM, agentic AI, and cloud consumption costs—governing model selection, orchestration, token usage, and infrastructure efficiency through FinOps practices.
• Drive Applied AI delivery budget planning, forecasting, and tracking aligned to ROI targets, enforcing financial governance and surfacing cost-saving opportunities within defined guardrails.

Core Responsibilities

1. Strategic Vision and Alignment: Lead large-scale, multi-service-line implementations; set vision and objectives aligned to business strategy, evolving that vision by translating external AI/industry signals into capability direction. Sequence cross-portfolio initiatives through real resource and dependency conflicts and govern the orchestration architecture that lets AI-assisted execution scale without losing accountability.
2. Evangelism: Inspire product engineering teams and advocate for discovery, delivery, and AI-native practices through community sessions and concrete development examples. Stay current on industry and AI delivery practice and bring that external perspective into capability decisions.
3. Craft Mastery and Objectives Realization: Lead the enterprise's most consequential, multi-year programs through evidence-gated cycles, driving Objectives/KPIs with the right tracking tools, reports, and quality audits. Engage hands-on at the highest-risk moments; define product engineering maturity and advance it through experimentation with GenAI and AI-assisted delivery.
4. Capability Evolution and Development: Coach Delivery Leaders/Managers with depth, producing feedback that builds judgment for an AI-native SDLC. Represent the Delivery track in capability decisions and partner with the Capability Lead on track health, pairing rules, and role architecture as AI reshapes the work.
5. Operational Excellence: Drive process optimization, quality,