Note: The job is a remote job and is open to candidates in USA. Deloitte is a leading professional services firm, and they are seeking a Group Delivery Leader to oversee delivery across multiple product portfolios. This role involves leading enterprise program management, strategic alignment, and operational excellence to ensure high-quality outcomes and continuous improvement.
Responsibilities
- 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
- 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
- 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
- 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
- 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
- Operational Excellence: Drive process optimization, quality, capacity, and resource utilization across the portfolio. Steward and reconcile delivery patterns across service lines as AI shifts them, identifying durable improvements and teaching the broader capability
- Customer-Centric Problem Solving: Resolve critical customer and stakeholder issues, aligning cross-functional teams to business outcomes through AI-enabled, continuously-learning delivery
- Expert Proficiency and Continuous Improvement: Identify inefficiencies and enhance the product engineering model to be lean, adaptable, and AI-leveraged, fostering innovation and lean principles across the portfolio
- Communication: Translate between executive intent and program reality and hold executive trust under pressure. Influence decisions, resolve conflicts, and foster close collaboration across the product community
- Delivery Risk Management: Establish proactive risk processes built on early learning and fast feedback, including governance for Responsible AI and AI-assisted execution. Mitigate risks early, plan contingencies, and engage hands-on at the highest-risk moments
- Organizational Engagement and Collaboration: Engage stakeholders at all levels, build collaborative relationships, and reconcile diverse perspectives to align teams on common goals
Skills
- Eighteen or more years of experience in delivery management and strategic program leadership, managing enterprise IT solutions across multiple products and teams
- Demonstrated track record leading the most consequential enterprise programs — multi-year, multi-service-line transformations — with executive-level accountability
- Experience setting delivery strategy at a service-line or portfolio level, not just executing within an established strategy
- Sustained experience coaching Delivery leaders/managers and developing their judgment, stakeholder trust, and career trajectories
- Deep experience with both Agile/Lean operating models and intent-driven, evidence-gated delivery in AI-assisted environments
- Strong expertise in AI/Cloud FinOps, budget management, financial forecasting, cost optimization, and data-driven delivery governance
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Strong skills in developing and implementing strategic plans to meet organizational and product goals. Ability to translate industry signals into capability direction
- Extensive knowledge and track record of managing stakeholders at the executive level across competing priorities and organizational boundaries
- Comfortable challenging technical assumptions at the architecture level; able to partner with Principal Architects and senior Engineering leaders as a peer
- Demonstrated ability to design delivery patterns at portfolio or service-line scale, teach them, and refine them based on observed outcomes
- Fluent with current GenAI assistants and agentic delivery tooling. Able to govern AI agent participation across a portfolio and design exception paths
- Writes clearly. Presents to executives and boards without over formatting. Influences decision-making processes and resolves conflicts with integrity
Benefits
- You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
- Deloitte is committed to providing reasonable accommodations for people with disabilities.
- At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.
- Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
- We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship.
- From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
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