Jobs · Information Technology · New York

Sr Technical Program manager

Russell Tobin · New York, NY · 3 wk ago
HybridInformation Technology$70–$75/hrFull-time

About the role

Enterprise Network Services (ENS) delivers the network, datacenter, and connectivity foundation supporting the firm's business, trading, and cloud platforms. The Technical Program Management team owns intake, chartering, governance, and end-to-end delivery of ENS's most complex strategic programs. We are seeking a highly experienced Senior Technical Program Manager (TPM) to lead complex, multi-million-dollar strategic infrastructure programs across a global enterprise technology environment. This is a senior, hands-on program leadership role, not a project coordination position. The successful candidate will have strong technical fluency across enterprise networks, compute, data centers, cloud infrastructure, trading infrastructure, resiliency, and technology risk, combined with exceptional program execution and executive communication skills. The TPM must be able to take an initiative from an ambiguous strategic objective, build the charter and execution model from the ground up, establish governance, create an integrated roadmap, manage financials and dependencies, align global teams, resolve difficult issues, and drive measurable outcomes.

Responsibilities

  • Lead large, complex, multi-million-dollar technology infrastructure programs from charter through implementation and closure.
  • Develop program charters, scope, objectives, success criteria, roadmaps, milestones, governance, RACI, KPIs/KRIs, and execution plans.
  • Manage multiple interconnected workstreams across Network, Compute, Cloud, Data Centers, Trading Infrastructure, Engineering, Architecture, Cybersecurity, Risk, Operations, Finance, Procurement, and vendors.
  • Own integrated program plans, critical paths, cross-team dependencies, RAID management, change control, and executive escalations.
  • Manage program budgets, forecasts, actuals, resource plans, and financial variances.
  • Identify technical, operational, financial, and organizational risks early

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