Enterprise QA Program Manager (W2 Only)

Program Manager, Enterprise QA

• Serve as primary liaison between Enterprise QA and other technology teams — Operations Tech, Investment Tech, Data Tech, Cloud Infrastructure, and EUC — maintaining working relationships with delivery managers and program leads.
• Hold decision authority over sequencing and prioritization across active initiatives (DataGaps onboarding, QA automation, synthetic data service, lower environment build-out, agentic SDLC), weighing delivery team capacity against the Enterprise QA roadmap and escalating to the Head of Enterprise QA where a delivery team's committed timeline is at risk.
• Build project plans for new initiatives from the ground up, with proactive identification of risks and dependencies through structured stakeholder discovery.
• Provide day-to-day direction and development support to QA practitioners embedded in the function, including the other leads and automation builders, with continued positioning of each as a strategic contributor rather than a project executor.
• Lead cross-team alignment on scope, timelines, and dependencies, with resolution of conflicts before they require escalation to the Head of Enterprise QA.
• Lead status reporting and communication cadences — weekly updates, stakeholder briefings, executive summaries — calibrated for concision with senior audiences.
• Own translation of the Alternative Approach (internal QA standards plus a focused EUC managed service) into delivery-team-facing plans and commitments.
• Own the QA Guild cadence, with accountability for its function as a practitioner community rather than a status meeting.

• 10 years in program or project management, with direct experience in QA transformation, technology delivery, or enterprise software programs.
• A track record of stakeholder alignment across engineering, infrastructure, and operations functions within a matrixed organization.
• Experience building project plans and program structures from a blank state, including the stakeholder questioning and risk discovery needed to surface issues before they become delays.
• Strong written and verbal communication skills, with demonstrated concision when addressing senior technology executives.
• Experience leading programs staffed through a federated or guild-based resourcing model, rather than a centralized PMO with direct reporting lines.
• Financial services or other regulated-industry experience preferred.
• Hands-on familiarity with generative AI tools and workflows desirable, with genuine interest in extending that experience into QA and SDLC applications, a growing focus area for this function.