AI Domains Deployment Strategist - Vice President

Help transform how Operations works through artificial intelligence. Work directly with business and technical teams to solve complex operational problems, reimagine workflows and deliver measurable results. Combine strategic thinking with hands-on execution, shaping solutions and staying engaged through deployment and adoption.

As an AI Domains Deployment Strategist in the AI in Operations Strategy and Transformation Office, you will embed with business teams to identify high-value opportunities and drive AI-enabled transformation from discovery through implementation, adoption and measurable impact. Your engagements will span document processing, email workflows, agentic orchestration and emerging AI capabilities, with priorities determined by business value and readiness. You will combine business engagement, product judgment, AI fluency and delivery ownership to define what needs to be built, align partners and move solutions into operational use. Working alongside Operations, Product, Engineering, Data and Controls teams, you will advise leaders on transformation opportunities and solution choices, resolve delivery obstacles and translate deployment learnings into reusable capabilities that accelerate expansion across businesses.

Job Responsibilities

- Embed with business teams to understand operational workflows, user needs, systems, data, exceptions and controls; establish baselines for volume, effort, cost, cycle time and quality.
- Identify and prioritize high-value problems, defining clear problem statements, business outcomes and success measures rather than starting with a predetermined solution.
- Lead discovery and workflow-reimagination workshops, bringing business and technical partners together to create target-state designs, decisions and actionable delivery priorities.
- Translate business needs into solution requirements and prioritized scope, partnering with Product and Engineering teams to define integrations, AI evaluation criteria, human-review requirements and operational acceptance criteria.
- Connect business needs to the right AI capabilities, including document processing, email automation, generative AI and agentic orchestration; assess where existing products meet requirements and where integration or new development is required.
- Build and validate business cases, quantifying expected benefits, investment needs and delivery assumptions while testing solutions against technical feasibility, operational constraints and control requirements.
- Drive engagements from discovery through deployment and adoption, establishing shared plans with clear owners, milestones, dependencies and decision points.
- Resolve execution obstacles through hands-on problem solving, clarifying requirements, coordinating dependencies and securing decisions; communicate risks and escalations with concrete options and recommendations.
- Advise and influence senior business, Operations and technology leaders on AI transformation opportunities, solution choices, investment priorities and decisions required to move implementations forward.
- Partner on production readiness and adoption, including testing, evaluation, governance, launch readiness, training and changes to ways of working; measure adoption and realized business outcomes against agreed baselines.
- Translate deployment experience into reusable capabilities, product-roadmap recommendations, solution patterns and implementation playbooks that accelerate subsequent deployments.

Required Qualifications, Capabilities and Skills:

- 6+ years of experience in business transformation, product management, technology-enabled delivery, strategy or consulting, including hands-on execution in a complex organization.
- Demonstrated experience taking initiatives from business-problem definition through implementation, adoption and measurement of outcomes.
- Experience mapping operational workflows and translating user needs into solution requirements, delivery priorities and acceptance criteria.
- Experience prioritizing solutions based on business value, technical feasibility, operational readiness and reuse potential.
- Experience working with AI-enabled solutions, including generative AI, workflow automation, evaluation or human-in-the-loop approaches, with the ability to translate between business requirements and technical trade-offs.
- Experience leading discovery sessions and cross-functional workshops that result in defined scope, decisions and executable plans.
- Experience developing business cases, operational baselines and benefits measurement using data.
- Demonstrated ability to advise and influence senior stakeholders, align partners with competing priorities and resolve delivery dependencies without relying on formal authority.
- Ability to communicate complex workflows, solution choices, delivery risks and recommendations clearly to operational users, technical partners and senior leaders.
- Experience managing multiple priorities, adapting plans as new information emerges and taking ownership of unresolved delivery issues.

Preferred Qualifications, Capabilities and Skills:

- Experience in financial services Operations or other complex, document-intensive, communication-intensive or exception-heavy environments.
- Experience in a forward-deployed, customer-facing product, solutions-delivery or embedded transformation role.
- Experience deploying AI-enabled solutions into production, including integration, evaluation, governance, rollout and adoption.
- Familiarity with document AI, email automation, generative AI and agentic workflow orchestration.
- Hands-on experience with AI and agentic development platforms, such as Claude Code or similar tools, for exploration, prototyping, workflow design and solution validation.
- Demonstrated practitioner judgment in evaluating production-ready versus experimental AI capabilities and determining where emerging technologies can be applied responsibly and effectively.
- Experience translating business-specific requirements and deployment learnings into reusable platform capabilities, product-roadmap improvements or implementation patterns.