Technical Project Manager, Executive Director, AI Product Management Team

New York, NY, United StatesSenior8+ years

Bring your expertise to shape and enhance the journey of products from inception to our customers' hands. Mentor a dedicated team and lead key activities across the product life cycle, turning challenges into opportunities for continuous value and delivery.

As a Product Delivery Director in Commercial & Investment Banking operations team, you will drive execution of complex, cross-functional AI and automation initiatives—from early discovery to production launch and scaled rollout. You are highly technical (ideally ex-engineer/researcher/data scientist) with experience building production systems, and you can translate product vision into executable plans, remove roadblocks, and hold stakeholders accountable in a large, regulated banking environment. You will also set up and mature this new Technical Project Management function, including operating mechanisms, progress reporting, and communication rhythms.

Job responsibilities

Convert product plans into project plans with clear scope, milestones, owners, and timelines.
Own delivery cadence: daily/weekly execution check-ins, action tracking, and reporting into product operating mechanisms.
Drive clear communication: coordinate progress updates, status narratives, dependency/risk readouts, and decision logs across stakeholders and leadership.
Identify, manage, and resolve cross-team dependencies and risks; escalate decisively to protect timelines.
Drive execution toward target dates; empowered to demand deliverables and decisions from stakeholders.
Coordinate build-to-launch activities: integration, testing/validation, user feedback, approvals, and rollout plans.
Stand up and mature the TPM function: define ways of working, templates/rituals, governance, and metrics that improve delivery predictability.
Directs principal activities across the end-to-end product delivery journey including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while highlighting opportunities to improve efficiencies and functional coordination
Owns the change management framework across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
Maintains a high level of visibility over product timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners
Coaches and mentors the product delivery team on best practices through collaborative discussions on resource management, dependency management, and deployment techniques to improve efficiencies

Required qualifications, capabilities, and skills

8+ years of experience or equivalent expertise delivering products, projects, or technology applications
Extensive experience leading operational management and change readiness
Experience in enterprise-wide release and deployment processes and strategies
Advanced knowledge of the product development life cycle, technical design, and data analytics
Degree in Computer Science/Engineering (or equivalent practical experience).
Significant experience leading complex technical delivery across multiple teams
Prior hands-on experience building production systems (software, platform, research engineering, or data science).
Strong technical fluency in system architecture, cloud/infrastructure, and AI-enabled applications (e.g., LLMs, RAG, agentic workflows, evaluation/monitoring).
Strong stakeholder management, written/verbal communication, and execution discipline; experience in regulated enterprises.
Proficiency with Agile/Scrum and delivery tooling (e.g., Jira).

Preferred qualifications, capabilities, and skills

Recognized thought leader within a related field
Advanced degree (MS/PhD).
Experience delivering AI-driven programs in banking/financial services or similarly regulated industries.
Track record taking prototypes to production at scale and operating effectively in ambiguity.

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