Deloitte | India Offices of the US

What You’ll Do

Enterprise Stakeholder Leadership & Executive Communications

• Support stakeholder engagement for complex, multi-geo transformation programs by aligning leaders on scope, outcomes, and decision points.
• Draft and package executive-ready communications, including leadership working group materials, program updates, decision memos, and narratives.
• Coordinate governance cadences, such as leadership working groups and cross-functional forums, including decision capture, action tracking, and escalation support.
• Program & Portfolio Leadership
• Support delivery of transformation initiatives spanning technology, process, data, and workforce change, from discovery through implementation and stabilization, for assigned workstreams.
• Maintain workstream plans and contribute to the integrated delivery plan across business, product, data, engineering, risk, and change teams; coordinate working sessions, handoffs, and launch and stabilization readiness activities.
• Drive issue and dependency tracking by surfacing, prioritizing, and coordinating resolution paths to help keep delivery on track.
• Support program performance management by maintaining KPI and value reporting (value realization, delivery health, and adoption indicators) and preparing inputs for executive readouts.
• Support delivery rigor by maintaining core routines and templates and applying quality checks aligned to established release criteria.

Program & Portfolio Leadership

• Support delivery of transformation initiatives spanning technology, process, data, and workforce
• change, from discovery through implementation and stabilization, for assigned workstreams.
• Maintain workstream plans and contribute to the integrated delivery plan across business, product,
• data, engineering, risk, and change teams; coordinate working sessions, handoffs, and launch and
• stabilization readiness activities.
• Drive issue and dependency tracking by surfacing, prioritizing, and coordinating resolution paths to
• help keep delivery on track.
• Support program performance management by maintaining KPI and value reporting (value realization,
• delivery health, and adoption indicators) and preparing inputs for executive readouts.
• Support delivery rigor by maintaining core routines and templates and applying quality checks aligned
• to established release criteria.

AI Strategy-to-Engineering Translation (Core Focus)

• Partner with AI engineering teams and functional and business leaders to shape use cases into buildable, testable solutions.
• Build and iterate prototype and pilot AI agents using Microsoft Copilot Studio and other enterprise agent-building platforms, partnering with engineering for integration, security, and scalability reviews.
• Contribute to defining agent behaviors and workflows, including prompts, tools and actions, connectors, orchestration, testing, monitoring, and iteration, to support business outcomes and Responsible AI requirements.
• Support translating business needs into clear product and program requirements, including user outcomes, success metrics, data needs, model and automation approach, and operating impacts.
• Support AI and engineering leads in building the business case and outlining the delivery approach, such as minimum viable product (MVP) to scale, implementation roadmap, and adoption plan.
• Facilitate tradeoff discussions, such as speed versus risk, build versus buy, and automation versus controls, and document decisions with a focus on enterprise scalability.

Responsible AI, Risk, and Adoption (Enterprise-Ready Delivery)

• Support embedding Responsible AI practices and enterprise controls into delivery, including privacy, security, compliance, model governance, human-in-the-loop, and auditability.
• Support change management activities with measurable adoption outcomes, including stakeholder readiness, training strategy, communications, and post-launch support planning.
• Support defining and tracking value and adoption metrics, including productivity, cycle time, service experience, and risk reduction, along with usage tracking and benefits realization reporting.
• Team Leadership & Cross-Functional Enablement
• Coordinate day-to-day execution across project resources (direct and matrixed) by reinforcing program routines and supporting clear, leadership-ready communication.
• Support clarity in roles and responsibilities and promote alignment across product, engineering, operations, and transformation stakeholders.

 Team Leadership & Cross-Functional Enablement

• Coordinate day-to-day execution across project resources (direct and matrixed) by reinforcing
• program routines and supporting clear, leadership-ready communication.
• Support clarity in roles and responsibilities and promote alignment across product, engineering, operations, and transformation stakeholders.

The Team

ETO 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 - 8 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.

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