Lead Technical Program Manager - AI / ML

J.P. Morgan; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading financial institution in Greater London is looking for a Lead Technical Program Manager to oversee complex technology projects that align with business goals. The ideal candidate will have 5+ years of experience in technical program management, advanced stakeholder management skills, and a solid understanding of cloud platforms like AWS and Azure. This role involves developing project plans, mitigating risks, and collaborating with cross-functional teams to ensure successful project delivery in a dynamic environment.

Qualifications

• 5+ years of experience in technical program management with complex technology projects.
• Ability to manage resources, budgets, and teams effectively.
• Good understanding of cloud platforms and enterprise architecture principles.

Responsibilities

• Develop and execute comprehensive project plans for technology solutions.
• Identify and mitigate risks proactively in project management.
• Collaborate with cross-functional teams to define program scope and objectives.

Skills

Technical program management

Stakeholder management

Analytical reasoning

Agile methodologies

AI/ML tools

Tools

AWS

Azure

GCP

Job description

Leverage your deep technical expertise and leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment.

As a Lead Technical Program Manager in Enterprise Technology, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. Leveraging your deep knowledge of technical principles, practices, and theories is essential for developing innovative solutions, while simultaneouslyeffectively managing resources, budgets, and high-performing teams. Your strong analytical reasoning and adaptability skills will enable you to navigate through ambiguity and change, ensuring that technology initiatives align with business goals. With advanced communication and stakeholder management abilities, you will foster productive working relationships and influence decision-making to achieve mutually beneficial outcomes. As a subject matter expert, you will contribute to the development of operational plans and risk management strategies, ensuring the highest quality and professionalism in service delivery.

Job responsibilities

• Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
• Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project and program momentum
• Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define program scope, objectives, and deliverables, ensuring alignment with overall business goals
• Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations to enhance efficiency and effectiveness
• Champion the adoption of agile methodologies and technical solutions, fostering a culture of continuous learning and innovation within the team

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization.
• Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients.
• Advanced experience in utilizing technical fluency, including knowledge of vendor products and managing vendor relations, to enable on-demand access to shared pools of applications and services.
• Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment.
• Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities.
• Good understanding of AI tools and capabilities, including experience with AI/ML-driven solutions and their application in enterprise environments.
• Solid knowledge of enterprise architecture principles and best practices.
• Experience with cloud platforms (such as AWS, Azure, or GCP) and cloud-native solution design.