• Define and execute the Center’s long-term strategic vision in partnership with APA leadership and Board of Directors • Drive the development and continuous innovation of the Center’s core programs, ensuring they remain relevant, rigorous, and responsive to the rapidly evolving AI landscape • Build and manage a multidisciplinary team of researchers, policy experts, educators, and communications professionals • Lead day-to-day organizational operations including budgeting, financial oversight, human resources, and compliance • Cultivate a culture of intellectual rigor, ethical practice, interdisciplinary collaboration, and equity • Identify emerging opportunities to expand the Center’s influence, visibility, and impact across sectors including consumer technology, mental health, education, and public policy. • Direct the Center’s research agenda on human-centered AI, including the behavioral, cognitive, and psychological dimensions of AI system design, deployment, and societal impact • Oversee and author policy reports, white papers, RFI responses, and formal comments to U.S. and international regulatory and legislative bodies • Provide expert recommendations on laws, norms, and standards to advance psychologically informed, human-centered AI to government agencies, legislative bodies, and intergovernmental organizations including the UN, GPAI, and OECD • Cultivate and sustain partnerships with AI and technology companies, behavioral health organizations, academic institutions, government agencies, and civil society groups

• Serve as a senior solution architect on strategic client opportunities involving AI and ERP transformation. • Partner with Sales, Client Leaders and Account Teams to shape and position differentiated change solutions in alignment with financial modeling and objectives • Translate ERP and AI transformation programs into clear organizational change strategies and adoption approaches • Participate in and/or lead client discussions as a trusted advisor and subject matter expert • Engage with CRO and market sales to establish pipeline, booking and revenue in alignment with financial models • Package and position AI-enabled solutions as differentiated, market-ready offerings • Own the strategy, commercialization and scaling of the firm’s change specialization for AI and ERP transformation. • Define and evolve service offerings aligned to ERP and AI-enabled transformation • Establish playbook for AI and ERP proposals, solution narratives and statements of work • Establish solution models aligned to major ERP platforms and AI-enabled transformation programs • Partner with Marketing and Leadership to support market positioning and thought leadership • Contribute to internal capability development and enablement • Help establish standards and best practices to ensure consistency and quality • Define pricing models, value propositions, and commercialization strategies for offerings • Maintain deep understanding of ERP and AI transformation trends and implications for organizations • Identify emerging client needs and opportunities for new service offerings • Contribute to thought leadership, internal strategy and capability evolution • Build credibility internally and externally as a leader in change enablement for technology transformations • Engage executive stakeholders to shape enterprise transformation agendas and investment decisions • Own and drive pipeline development, bookings, and revenue growth for AI and ERP transformation offerings in partnership with market level sales teams • Identify, qualify, and pursue strategic opportunities in partnership with account teams and senior leadership • Translate market needs to scalable, sellable offerings that drive repeatable revenue • Partner with CRO and sales leadership to align go-to-market strategy and execution

• Serve as a senior solution architect on strategic client opportunities involving AI and ERP transformation. • Partner with Sales, Client Leaders and Account Teams to shape and position differentiated change solutions in alignment with financial modeling and objectives. • Translate ERP and AI transformation programs into clear organizational change strategies and adoption approaches. • Participate in and/or lead client discussions as a trusted advisor and subject matter expert. • Engage with CRO and market sales to establish pipeline, booking and revenue in alignment with financial models. • Package and position AI-enabled solutions as differentiated, market-ready offerings. • Own the strategy, commercialization and scaling of the firm’s change specialization for AI and ERP transformation. • Define and evolve service offerings aligned to ERP and AI-enabled transformation. • Establish playbook for AI and ERP proposals, solution narratives and statements of work. • Establish solution models aligned to major ERP platforms and AI-enabled transformation programs. • Partner with Marketing and Leadership to support market positioning and thought leadership. • Contribute to internal capability development and enablement. • Help establish standards and best practices to ensure consistency and quality. • Define pricing models, value propositions, and commercialization strategies for offerings. • Maintain deep understanding of ERP and AI transformation trends and implications for organizations. • Identify emerging client needs and opportunities for new service offerings. • Contribute to thought leadership, internal strategy and capability evolution. • Build credibility internally and externally as a leader in change enablement for technology transformations. • Own and drive pipeline development, bookings, and revenue growth for AI and ERP transformation offerings in partnership with market level sales teams. • Identify, qualify, and pursue strategic opportunities in partnership with account teams and senior leadership. • Translate market needs to scalable, sellable offerings that drive repeatable revenue. • Partner with CRO and sales leadership to align go-to-market strategy and execution.

• Design and own backend services in NestJS and TypeScript, from schema to production • Architect for scale, not just for the feature in front of you • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Set and enforce quality standards across agent-generated and manually written code alike • Shape requirements with product before they become tickets • Contribute to technical decisions across architecture, infrastructure, testing, and developer productivity • Do all of the above with an AI-first approach