Tech Project Manager II

Embrace the challenge of steering complex tech projects, fostering growth and technical excellence in a dynamic environment.

As a Technical Project Manager II in Asset & Wealth Management / Asset & Wealth Management Tech & OPS , you will play a pivotal role in leading complex technology projects and programs that drive business goals and enhance the firm's technological capabilities.

You will leverage your broad knowledge of technical principles and practices to develop innovative solutions, while effectively managing resources, budgets, and cross-functional teams.

Your analytical reasoning and adaptability skills will enable you to navigate through ambiguity and embrace change.

By fostering productive relationships with stakeholders and clients, you will contribute to the firm's overall growth and success.

Your excellent communication skills and ability to influence others will be crucial in driving mutually beneficial outcomes and managing risks in line with the firm's policies and practices.

Job responsibilities



* Analyze and breakdown complex business, technical, and operational objectives into manageable tasks and activities, applying critical thinking and problem-solving skills


* Uses enterprise-authorized AI capabilities within the work environment to accelerate project planning and risk synthesis (e.g., drafting plans, RAID, and status narratives), validating outputs and handling data according to sensitivity requirements.


* Support the optimization of allocated resources, including people, budget, and technology, to effectively plan, schedule, and progress project and/or program initiatives


* Participate in stakeholder management, fostering productive working relationships with cross-functional teams and clients to drive mutually beneficial outcomes


* Assist in risk management by making informed decisions in line with the firm's risk management practices and policies, ensuring project success and compliance


* Promotes reuse-first, AI-assisted practices for project governance artifacts and reporting, ensuring human review and alignment to delivery standards.


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation


* Provide clear, consistent communication and reporting: Run operating rhythms (standups, sprint ceremonies, stakeholder reviews), publish status updates/dashboards, and escalate decisions/r...