• Own the team’s shift to an agentic operating model across both Delivery and Quality Intelligence. • Lead the design and delivery of onboarding, upskill, and continuous learning programs across all support tiers and channels. • Lead a team of QA analysts focused on audit execution, model validation, and trend identification. • Build the QA-to-coaching routing, calibration cadence, and feedback frameworks. • Serve as the connective tissue between learning outcomes, quality signals, and business priorities. • Own the KPI framework across both teams and translate program activity into business impact.

• Provide thought leadership, science direction, and technical, analytical, and public outreach support to advance the UCS goal to promote the safety and security of nuclear power and the nuclear fuel cycle. • Conduct research and analysis in support of UCS’ nuclear power safety project and energy campaign and work collaboratively with coalition and grassroots partners. • Serve as a spokesperson and technical expert representing UCS in public forums and with media, policymakers, regulators, and stakeholders. • Design and implement research and analysis in accordance with legal requirements for human subjects and environmental protection and upholding principles of scientific excellence. • Work with leadership and colleagues to ensure that organizational and programmatic goals, strategies, priorities and decisions are grounded in, and informed by, the best available science and advance campaign goals and objectives. • Identify strategic opportunities for new areas of research including novel analytical or policy work. • Implement collaborative work across programs to develop and test evidence-based solutions for policy, regulatory, and other decision-making challenges. • Manage research and analysis projects on nuclear power and nuclear safety issues, including scoping, planning, execution, and evaluation. • Write, edit and review peer-reviewed papers, reports, fact sheets, issue/policy briefs, and other materials highlighting the results of various analyses following UCS protocols for review, production, and presentation of results. • Communicate and uplift UCS’s priorities online and through social media by writing blog posts, web copy and other digital content. • Support fundraising and development efforts through donor meetings and other efforts to cultivate relationships.

• Represent the organization on contractual matters and provide expert guidance to internal stakeholders. • Ensure all contracting activities comply with corporate policies, procedures, and governance requirements. • Lead the negotiation and execution of complex commercial contracts. • Review customer RFPs, assess requirements and terms, support proposal development, and coordinate internal approvals. • Identify contractual and business risks and recommend clear, practical mitigation strategies. • Partner with program management and develop an understanding of relevant products, services, and technical considerations. • Deliver strategic analysis and recommendations to support business and contractual decisions. • Prepare accurate, complete, and professionally formatted documentation for negotiations and contractual records. • Maintain organized, audit-ready contract files in accordance with departmental standards. • Manage multiple projects of varying complexity while meeting deadlines and quality expectations. • Support business travel up to 10%.

• Maintain and improve delivery visibility across complex, dependency-heavy work by tracking cross-team blockers, integration risks, and upstream/downstream exposure • Model the impact of scope changes, timeline shifts, and capacity constraints by presenting structured options with clear trade-offs to decision-makers • Drive backlog readiness discipline, ensuring work entering execution is well-defined and dependency-mapped before it starts • Identify and actively manage delivery risk through surfacing issues proactively, quantifying impact, and framing resolution paths for engineering and product leadership • Maintain and improve delivery operating norms that reduce rework, carryover, and execution variability over time • Leverage AI tooling to accelerate operational work, including status synthesis, risk narrative generation, and backlog readiness summarization, while maintaining human judgment on prioritization and stakeholder framing decisions. • Influence engineer and product manager behavior through structure and data by driving accountability and shared clarity on delivery commitments • Frame delivery trade-offs clearly by presenting structured options with explicit implications on timeline, quality, and capacity • Partner with Product Managers to enforce readiness standards and protect delivery integrity when scope pressure mounts • Communicate delivery feasibility and confidence clearly to the engineering team and partnering Project Managers by providing early warning when assumptions change and surfacing recovery options when they do • Socialize production release schedules in advance with the development team, Product Manager, and relevant change advisory processes ensuring the team is prepared for releases • Maintain working fluency in the technical systems your team supports through a solid understanding of integration surfaces, API dependencies, and release risk in context • Coordinate across engineering, QE, architecture, and platform teams to manage cross-functional dependencies and resolve blockers at the right level • Apply delivery metrics (i.e. cycle time, throughput, carryover, predictability) as operational signals that drive structural change in how the team works • Manage a Kanban-based delivery system for a team handling a mix of planned work and high-priority operational demand • Balance intake discipline with responsiveness by maintaining flow efficiency while protecting planned delivery commitments from reactive work pressure • Model WIP impact and context-switching costs to protect team throughput and focus • Maintain and improve intake and triage processes that bring structure to interrupt-driven work without creating bureaucratic overhead • Monitor Kanban flow metrics (i.e. lead time, cycle time, and queue depth) to identify bottlenecks and maintain healthy throughput • Coordinate with dependent teams and platform consumers to maintain demand visibility and set clear expectations proactively • Manage sprint cadence and iteration health across one or more engineering teams with a focus on commitment reliability and sprint goal integrity • Enforce sprint entry discipline by ensuring stories meet sizing and readiness standards before planning begins, and holding the line when they don’t • Track and improve sprint predictability using carryover, velocity trends, and planning accuracy as signals to adjust how the team operates • Manage scope pressure during active sprints through modeling the impact of additions or changes and presenting clear trade-off options to the Product Manager before commitments shift • Maintain cross-sprint dependency visibility across teams or workstreams, identifying what is at risk and when • Run retrospectives as structured operational reviews by identifying systemic delivery friction and driving follow-through on changes