Observability Lead Technical Program Manager/ Project Manager
About The Position
As a Lead Technical Program Manager in Enterprise Observability Platforms, you will lead delivery of complex technology projects and programs that support business goals across the firm. The role requires applying technical principles and observability knowledge to develop solutions while managing resources, budgets, and high-performing teams. You will guide work through ambiguity and change, align technology initiatives with business goals, and use analytical reasoning and stakeholder management to influence decisions and build productive relationships. You will also contribute to operational planning and risk management and uphold high standards of service delivery. The role includes using enterprise-authorized AI capabilities to support program planning, risk synthesis, governance, and reporting. AI-assisted outputs must be reviewed and validated, with data handled according to sensitivity requirements and delivery standards. The ideal candidate has experience leading large-scale application migrations and can make data-driven decisions in changing environments.
Requirements
- At least 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 and delivering projects and change initiatives from inception through completion in alignment with firm objectives.
- Strong experience with Microsoft Excel and SharePoint.
- Advanced stakeholder management skills, including establishing productive working relationships and influencing decisions across cross-functional teams and clients.
- Ability to translate customer requirements into technical specifications for engineering and cloud teams.
- Experience using enterprise-authorized AI capabilities for program management workflows, with strong validation habits and awareness of data sensitivity.
- Ability to lead through change, manage dependencies, and control scope in high-pressure, changing environments.
- Experience analyzing and manipulating large data sets and adjusting information detail to support data-driven decisions.
- Proficiency in analytical reasoning and problem-solving to break business, technical, or operational objectives into manageable tasks.
- Practical knowledge of observability concepts and tools, and ability to translate engineering dependencies and challenges into solvable problems.
- Ability to review and validate AI-assisted plans, risks, and recommendations, escalate uncertainty, and follow data-handling expectations.
- Track record of managing resources, budgets, and high-performing teams in a fast-paced, agile environment.
Nice To Haves
- Financial industry experience.
Responsibilities
- Develop and execute project plans covering technical requirements, resource allocation, and timelines to support on-time delivery.
- Partner with engineering and product teams to define requirements, success metrics or OKRs, and roadmaps aligned with business outcomes.
- Use enterprise-authorized AI capabilities to accelerate planning and risk synthesis, validate outputs, and handle data according to sensitivity requirements.
- Drive cross-functional execution with engineering, product, architecture, cybersecurity, and operations teams.
- Identify and mitigate risks, address potential roadblocks, and implement contingency plans.
- Collaborate with engineering, product, and business stakeholders to define scope, objectives, and deliverables aligned with business goals.
- Analyze program performance, identify improvement opportunities, and implement data-driven optimizations.
- Champion agile delivery and continuous improvement, fostering learning and innovation.
- Promote reuse-first, AI-assisted program governance and reporting, with human review and alignment to delivery standards.
- Manage resources, budgets, and high-performing teams in a fast-paced, agile environment.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
