If you enjoy turning complex, cross-organization challenges into measurable outcomes, this role offers the opportunity to modernize how risk and control work gets done. You will lead high-impact transformation programs and help teams adopt practical, responsible AI and automation-enabled ways of working. You’ll partner across lines of defense and business teams to improve effectiveness, consistency, transparency, and capacity while balancing risk, privacy, and control requirements. You will help teams adopt scalable approaches that work across diverse business areas and operating models.
As a Vice President, Program Manager – Innovation & AI Transformation in the Controls Room team, you will lead cross-functional transformation programs that improve control management outcomes by redesigning workflows and embedding AI and automation where they accelerate impact. The Controls Room, part of Control Management, strengthens existing control functions and develops new ones by monitoring firmwide, risk-based intelligence that empowers the three lines of defense. You will translate opportunities into clear roadmaps with measurable outcomes and run governance from pilot through scale, managing dependencies and escalating where broader alignment is needed. You will design solutions across people, process, operating model, data, and technology while balancing time-to-value with risk and control requirements.
Control Management
Control Managers are responsible for having a deep understanding of the business, its underlying processes and the compliance and operational risk and control environment. Subject matter expertise/innovative tools and technology.
Control Management maintains a strong and consistent control environment across the firm. With Control Managers appointed for each Line of Business, Function and Region, there is a comprehensive coverage and joint accountability model with the business executive that promotes early operational risk identification and assessment, effective design and evaluation of controls and sustainable solutions to mitigate operational risk.
Controls Room
The Controls Room Team within Control Management works collaboratively with other control disciplines and oversees existing control functions as well as the development of new control frameworks, protocols, and tooling solutions. The team’s objective is to empower the three lines of defense with risk-based information to manage their control environment. This is achieved by collecting, analyzing and monitoring firmwide risk-based intelligence into all lines of business and corporate functions.
The Controls Room gathers information from key business and technology partners in order to:
• Facilitate better decision making and actionable insights across the Firm.
• Create cost-effective and automated reporting; and
• Provide views into risk and issues.
Job Responsibilities:
- Lead AI-enabled transformation programs across control management processes by embedding AI and automation into defined workflows.
- Diagnose end-to-end workflows to identify root causes, baseline performance, and define clear outcomes and key performance indicators.
- Discover, size, and shape use cases and translate them into executable roadmaps with requirements, milestones, and success measures.
- Design fit-for-purpose solutions across people, process, operating model, data, and technology, clearly articulating trade-offs across cost, complexity, risk, and time-to-value.
- Define and implement operating model changes that embed AI into day-to-day work, including roles, handoffs, escalation paths, exception handling, and human review points.
- Own program delivery and governance, including plans, dependencies, risks and issues, decision logs, forums, and executive-ready status updates.
- Drive decisions and escalations to maintain momentum, remove blockers, and deliver outcomes on time and with quality.
- Partner across lines of defense, lines of business, and corporate functions to align priorities and execute responsibly within established forums.
- Track benefits and value realization by measuring performance against targets and continuously improving based on feedback and data.
- Produce periodic and ad-hoc roadmaps, reporting, and dashboards to meet stakeholder needs across the organization.
Required Qualifications, Capabilities and Skills:
- Demonstrated program management experience delivering cross-functional transformation initiatives from discovery through implementation, typically demonstrated through 7+ years of relevant experience.
- Strong command of current AI and automation technologies, with a demonstrated commitment to tracking emerging tools and approaches that keep solutions innovative and forward-looking.
- Strong structured problem-solving skills (including root-cause analysis, process mapping, and translating ambiguity into clear plans).
- Experience defining outcomes, metrics, and key performance indicators, and using data to manage progress and impact.
- Demonstrated ability to apply AI and automation to knowledge and workflow-heavy processes (e.g., triage, knowledge enablement, assisted drafting, summarization, and quality monitoring).
- Ability to design solutions across people, process, operating model, data, and technology, including clear documentation of requirements and trade-offs.
- Strong stakeholder management and influencing skills across senior and cross-functional partners, including decision facilitation.
- Strong governance and delivery discipline, including dependency management, risk and issue management, and executive reporting.
- Change leadership capability, including adoption planning, communications, training, and sustainment.
- Risk and controls mindset, including comfort partnering with control stakeholders and incorporating privacy and compliance requirements into delivery.
Preferred Qualifications, Capabilities and Skills:
- Experience working in control, audit, compliance, operational risk, or a closely related function at a large financial institution.
- Proven success scaling AI or automation initiatives from pilot to production with monitoring and feedback loops.
- Track record of delivering AI responsibly in a regulated environment (e.g., model governance considerations, documentation standards, and human-in-the-loop review).
- Working command of continuous improvement methods (e.g., Lean Six Sigma) and practical process redesign.
- Skilled at building business cases and value frameworks and tracking benefits realization post-implementation.
- Hands-on experience rapidly prototyping with AI coding assistants to create demos or lightweight solutions, demonstrating initiative to learn tools directly and translate ideas into working outputs.