Principal Technical Program Manager
Role Overview
Lead firmwide technology transformation for Corporate Technology's Employee Platforms Delivery and Execution organization.
Provide strategic leadership across complex, enterprise-scale initiatives and partner with senior stakeholders across engineering, architecture, product and business leadership.
Drive measurable business growth and improved client outcomes while aligning solutions with strategic priorities.
Key Skills for This Role
Full Job Posting
Role overview
Lead firmwide technology transformation for Corporate Technology's Employee Platforms Delivery and Execution organization.
Provide strategic leadership across complex, enterprise-scale initiatives and partner with senior stakeholders across engineering, architecture, product and business leadership.
Drive measurable business growth and improved client outcomes while aligning solutions with strategic priorities.
Program leadership and delivery
- Own strategy and portfolio execution for large, multi-year transformation programs, aligned to organizational objectives, investment priorities and measurable outcomes.
- Establish governance and operating cadence, including OKRs/KPIs, executive steering, financial tracking, dependency management and delivery transparency.
- Develop integrated plans across teams and vendors covering technical requirements, sequencing, resourcing, milestones and rollout or cutover.
- Partner with engineering, architecture, product and business leaders to define scope, value cases and success metrics.
- Identify opportunities to improve processes, digitalize workflows and increase operational efficiency; lead change and adoption at scale.
- Manage program risks, controls, dependencies and delivery health, driving mitigation and appropriate escalation.
- Provide executive reporting and insights on progress, risks, trade-offs and recommendations.
- Drive stakeholder engagement through workshops, communications, training approaches and decision forums.
- Build and lead teams, coach program leaders and delivery partners, and foster accountability, improvement and innovation.
- Monitor industry trends and emerging technologies and translate useful practices into transformation approaches.
AI governance and adoption
- Define and enforce guardrails for AI-assisted and agentic workflows, including control boundaries, traceability, auditability and review and approval expectations.
- Establish pilots and feedback loops to evaluate agentic tools and measure impact, scaling effective approaches with engineering, architecture, product and control stakeholders.
- Set a reuse-first approach to enterprise-authorized AI capabilities for planning, risk synthesis and executive reporting, with human validation and appropriate handling of sensitive data.
- Translate emerging agentic tools and patterns into governed use cases such as delivery automation, portfolio insights, risk identification and stakeholder communications.
Required qualifications and capabilities
- Formal training or certification in technical program management concepts and advanced applied experience in technology program or portfolio leadership in a large, complex organization.
- Track record of delivering enterprise-scale outcomes.
- Demonstrated leadership of large-scale transformation across multiple teams, systems and stakeholders, including end-to-end delivery, adoption and benefits realization.
- Strong strategic and analytical capability to assess performance and implement data-driven delivery and operating metrics.
- Deep expertise in risk identification, mitigation, dependency management and contingency planning.
- Proven ability to drive technology adoption and operating model change sustainably.
- Strong people leadership and talent development capabilities, including coaching.
Technical and leadership scope
- Use modern delivery practices, technical fluency and data-driven insights to support iterative execution at scale.
- Ensure solutions are resilient, secure and aligned with firm priorities.
- Apply human-in-the-loop validation and appropriate handling of sensitive data when using AI capabilities.
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