AI Project Manager

We are building the next generation of AI-enabled investment banking. As a Vice President, AI Program & Project Manager, you will manage and coordinate a portfolio of AI-related initiatives that support our advisory, capital markets, research, and operations teams.

You will operate at the intersection of bankers, business management, data science, engineering, and risk/compliance helping translate strategy into well-governed, executable delivery plans. This role is a critical enabler of the firm's AI agenda, working in close partnership with technology, data, and business leaders rather than owning AI outcomes independently.

As part of a lean, high-impact team, you will have meaningful exposure to senior leadership and play a key role in driving alignment, delivery discipline, and transparency across multiple AI work streams.

The ideal candidate is a proactive, low-ego program manager with strong technical fluency and execution rigor someone who excels at coordinating complex, cross-functional efforts and keeping momentum in a highly regulated environment.

Key Responsibilities:

Program & Project Management

Manage delivery of a portfolio of AI initiatives, coordinating timelines, dependencies, and risks across multiple teams and regions.

Develop and maintain integrated program plans, including roadmaps, milestones, resource assumptions, and delivery sequencing.

Establish and run program governance routines, including status reporting, risk and issue tracking, decision logs, and escalation processes.

Maintain portfolio-level artifacts such as RAID logs, dependency maps, delivery dashboards, and executive updates.

Support budgeting, forecasting, and vendor coordination in partnership with Technology and Business Management teams.

Cross-Functional Coordination

Act as a central coordination point across Technology, Data & Analytics, Information Security, Model Risk, Legal, Compliance, Operations, and business stakeholders.

Facilitate working sessions to clarify requirements, align priorities, and resolve delivery trade-offs.

Ensure stakeholders remain aligned on scope, sequencing, risks, and readiness for deployment.

Execution & Delivery Support

Translate strategic objectives into clear, executable workplans, backlogs, and release plans across multiple AI work streams.

Partner with Data Science and Engineering teams to track delivery progress, testing readiness, and production rollouts.

Coordinate functional and non-functional testing activities, including model validation, security reviews, and operational readiness checks.

Support go-live planning and post-launch stabilization, ensuring issues are tracked and addressed.

Governance, Risk, and Controls

Work with Risk, Legal, Compliance, and Model Risk partners to ensure AI initiatives align with existing governance frameworks (documentation, approvals, monitoring, periodic review).

Track and coordinate required approvals, artifacts, and sign-offs across the AI lifecycle.

Help ensure regulatory, privacy, and control considerations are addressed early and consistently in delivery plans.

Measurement, Adoption, and Continuous Improvement

Coordinate with adoption and training teams to support rollout planning, communications, and feedback loops.

Help define and track agreed-upon KPIs (e.g., usage, time saved, quality improvements), consolidating insights for leadership.

Contribute to the development of standard templates, playbooks, and delivery practices to improve consistency across AI initiatives.

Required Skills:

Program & Project Management

Strong command of program management fundamentals: planning, sequencing, dependency management, risk and issue management, and executive reporting.

Experience applying both Agile and hybrid delivery approaches in complex enterprise environments.

Comfortable managing ambiguity while maintaining structure and forward momentum.

Communication & Stakeholder Management

Excellent written and verbal communication skills; able to synthesize complex inputs into clear, actionable updates.

Skilled at facilitating discussions, driving alignment, and escalating issues constructively when needed.

AI, Data, and Technical Literacy

Working knowledge of AI/ML concepts, model life cycles, and data quality considerations.

Familiarity with generative AI, intelligent automation, and enterprise data platforms common in financial services.

Understanding of software delivery practices (Agile, testing, release management) as applied to AI solutions.

Leadership & Ways of Working

Collaborative, low-ego operator who builds trust across business, technology, and control functions.

Detail-oriented, disciplined, and calm under pressure.

Comfortable operating as an enabler and coordinator, rather than a sole decision-maker or product owner.

Education & Experience:

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Finance, Economics, or a related field.

Master's degree (MBA or MS) preferred but not required.

Certifications (Preferred)

PMP, PRINCE2, PMI-ACP, Scrum Master, SAFe, or…