Project Manager - Associate

As a Project Manager at JPMorgan Chase, you will play a crucial role in leading transformative projects that have a significant impact on the future of the industry. Your responsibilities will include shaping the Generative AI strategy, identifying high-impact AI use cases, and fostering a culture of innovation among Equities Operations Transformation teams. You will be instrumental in transforming strategic plans into tangible programs and projects, leveraging your expertise in project management and artificial intelligence. Your role will involve overseeing program execution, ensuring alignment with business strategy, and mitigating risks effectively. Utilizing data analytics, you will monitor program progress, make informed decisions, and drive necessary adjustments to ensure successful program delivery. Building and managing diverse teams, fostering continuous learning and growth, and delegating tasks efficiently will be key aspects of your responsibilities. Engaging with senior management and stakeholders, providing regular updates on program progress, and collaborating to resolve any arising issues are essential components of your role. Working closely with subject matter experts to identify innovative AI solutions and balancing technical excellence with tangible commercial impact will be crucial in achieving project objectives. To excel in this role, you should have a proven ability to lead complex programs or projects across various business units, demonstrated through a minimum of 4 years of relevant experience. Proficiency in data analytics, conflict management, and strategic thinking are essential skills required for this position. Deep expertise in traditional AI/ML and generative AI, along with a passion for problem-solving and out-of-the-box thinking, are also crucial for success in this role. Preferred qualifications include extensive experience in implementing AI use cases to enhance project outcomes, hands-on automation skills to streamline workflows, and proficiency in statistical analysis, experimental design, and causal inference. Knowledge of Python, orchestration frameworks, SQL, and other analytical tools will be advantageous in this role.,