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 Observability Platforms, 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 simultaneously effectively 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.
The ideal candidate brings 5+ years of technical program management experience, a strong track record of leading large-scale application migrations, solid observability domain knowledge, and the ability to navigate ambiguity and change with strong analytical, data-driven decision-making.
Job responsibilities
Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
Partner with engineering and product teams to define requirements, program success metrics/OKRs, and roadmaps aligned to business outcomes
Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
Drive cross-functional execution across engineering, product, architecture, cybersecurity, and operations to deliver integrated outcomes
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 agile delivery practices and continuous improvement, fostering a culture of continuous learning and innovation within the team
Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
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
Proven experience leading large application migrations, with a demonstrated ability to drive projects and change initiatives from inception to successful delivery in order to achieve outcomes aligned with firm objectives
Strong Microsoft tools experience ( Excel and Sharepoint)
Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients. Be able to translate Customer requirements into technical specifications to engineers, cloud team.
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity
Proven ability to lead through change, manage dependencies, and control scope in high-pressure, shifting environments
Experience in analyzing and manipulating large data sets to adjust level of information detail based on the situation and requirement to enable data-driven decision making
Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
Good practical knowledge of Observability concepts and tools to be able translate engineering dependencies and challenges into solvable problems
Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment
Preferred qualifications, capabilities, and skills
Financial Industry experience
Job description provided by JPMorgan Chase.
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