Are you passionate about leading enterprise transformation at scale-bridging artificial intelligence (AI) strategy and AI engineering execution? As a Lead Business Program Specialist within the Office of Strategic Initiatives (OSI), you will lead high-impact, cross-functional programs across the US, USI, USCR, and MX.
This role operates at the intersection of business outcomes, operating model change, and modern AI-enabled solutions-translating strategic intent into a prioritized roadmap, delivery plan, and measurable value-advancing our goal to be human-led, AI-powered. You will also bring hands-on experience building AI agents (e.g., in Microsoft Copilot Studio and similar agent-building platforms) to help translate priority use cases into working, enterprise-ready agent solutions.
Recruiting for this role ends on Feb 28th, 2025.
What You'll Do Enterprise Stakeholder Leadership & Executive Communications - Own stakeholder strategy for complex, multi-geo transformation programs; align senior leaders on scope, outcomes, and decision rights.
- Develop and deliver executive-ready communications (leadership working group materials, program updates, decision memos, and narratives).
- Establish and run governance cadences (e.g., leadership working groups and cross-functional forums), including decision tracking and escalation paths.
Program & Portfolio Leadership - Lead end-to-end delivery of transformation initiatives spanning technology, process, data, and workforce change, from discovery through implementation and stabilization.
- Build and maintain the integrated master delivery plan across business, product, data, engineering, risk, and change teams; drive execution through working sessions, handoffs, and launch/stabilization readiness.
- Own issue and dependency management: surface, prioritize, coordinate, and resolve blockers to keep delivery on track.
- Stand up and maintain program performance management, including a KPI/value dashboard (value realization, delivery health, and adoption indicators) and regular executive readouts.
- Improve delivery rigor by running core routines, keeping templates current, and applying quality checks prior to launch.
AI Strategy-to-Engineering Translation (Core Focus) - Liaise between AI engineering teams and functional/business leaders to shape use cases into buildable, testable solutions.
- Design and build prototype-to-production AI agents using Microsoft Copilot Studio and other enterprise agent-building platforms, partnering with engineering for integration, security, and scalability.
- Define agent behaviors and workflows (prompts, tools/actions, connectors, orchestration, testing, monitoring, and iteration) to meet business outcomes and Responsible AI requirements.
- Translate business needs into clear product/program requirements (user outcomes, success metrics, data needs, model/automation approach, and operating impacts).
- Partner with AI/engineering leads to define business case, delivery approach (e.g., minimum viable product (MVP) to scale), implementation roadmap, and adoption plan.
- Guide stakeholders through tradeoffs (speed vs. risk, build vs. buy, automation vs. controls) with a focus on enterprise scalability.
Responsible AI, Risk, and Adoption (Enterprise-Ready Delivery) - Embed Responsible AI and enterprise controls into delivery (privacy, security, compliance, model governance, human-in-the-loop, auditability).
- Lead change management with measurable adoption outcomes, including stakeholder readiness, training strategy, communications, and post-launch support model.
- Define and track value and adoption metrics (productivity, cycle time, service experience, risk reduction), including usage tracking and benefits realization reporting.
Team Leadership & Cross-Functional Enablement - Provide day-to-day leadership across project resources (direct and matrixed), coaching teammates on program rigor and executive communication.
- Create clarity in roles and responsibilities and drive alignment across product, engineering, operations, and transformation stakeholders.
The Team OSI leads strategic initiatives that modernize how enabling functions operate-combining business transformation expertise with digital, data, and AI capabilities to improve service experience, productivity, and operational excellence across geographies.
Ways You'll Stand Out - You've led enterprise programs from ambiguity to execution with measurable outcomes.
- You can translate AI ideas into testable, scalable delivery plans with adoption built in.
- You're strong at executive storytelling-clear decisions, crisp narratives, and polished materials.
- You connect strategy to day-to-day execution, keeping teams aligned and moving.
Qualifications Required - Bachelor's degree in business, technology, engineering, analytics, or related field (or equivalent experience).
- 6+ years of progressive experience leading complex programs/initiatives in a corporate, technology-enabled, customer/service-centric environment.
- Demonstrated experience running enterprise-scale, cross-functional programs with senior stakeholder management and measurable outcomes.
- Strong ability to translate ambiguous needs into structured requirements, roadmaps, and delivery plans, and to drive decisions through governance.
- Working fluency with modern AI concepts and delivery considerations (e.g., generative AI/large language models (GenAI/LLMs), automation, data readiness, evaluation metrics, model lifecycle, and adoption impacts)-enough to partner credibly with AI engineers and architects.
- Hands-on experience building and iterating AI agents in an enterprise context (e.g., Microsoft Copilot Studio and/or comparable agent-building platforms), including use-case scoping, agent design, testing/evaluation, and operational handoff.
- Exceptional executive communication and storyline development skills, including creating concise, leadership-ready narratives and polished PowerPoint materials.
- Strong analytical problem solving, structured thinking, and comfort operating in complexity and ambiguity.
- Familiarity with data/analytics tooling (e.g., Power BI, Tableau) and metrics design for value tracking.
- Ability to work effectively in a hybrid environment with virtual and in-person collaboration across time zones.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred - Experience delivering AI-enabled products or platforms (use case intake, prioritization, MVP to scale, operationalization).
- Background in change management, operating model design, process redesign, or service management.
- Experience with governance for AI risk, privacy, security, and controls (in partnership with relevant risk functions).
- Program management certification or formal training (e.g., Project Management Professional (PMP), Agile/Scaled Agile Framework (SAFe)); not required.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,300- $173,300.
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.
Information for applicants with a need for accommodation:
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Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at
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Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.
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Job ID 322201
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