• Identify opportunities to leverage AI and automation to improve business processes, product capabilities, and client outcomes. • Research emerging AI technologies, tools, and industry trends relevant to healthcare and enterprise software. • Build prototypes, prompts, workflows, and proof-of-concepts using generative AI and automation platforms. • Assist with documenting business requirements, current-state processes, and future-state AI-enabled workflows. • Partner with Product, Engineering, Operations, Marketing, and Sales teams on strategic AI initiatives. • Analyze business processes and recommend opportunities for increased efficiency through automation. • Support AI pilots by collecting feedback, measuring results, and documenting lessons learned. • Prepare presentations, reports, and executive-ready materials summarizing recommendations and project outcomes. • Participate in cross-functional meetings and contribute ideas that support SS&C Health's innovation strategy. • Complete assigned projects independently while managing priorities and meeting established deadlines.

• Build trusted-advisor relationships with senior marketing, operations, digital transformation, and executive (VP/C-level) leaders across your portfolio. • Facilitate strategic conversations that connect Jasper's capabilities to each customer's business priorities and organizational objectives. • Help customers develop and evolve their enterprise AI strategy and roadmap. • Lead Executive conversations focused on outcomes, value realization, adoption trends, and future opportunities, driving with business-outcome framing rather than product metrics. • Partner with customers to define measurable success metrics tied to business outcomes, and build multi-quarter success plans with outcome milestones, an executive sponsor, and a risk-mitigation plan. • Identify, prioritize, and expand high-impact AI use cases across business units. • Track progress toward agreed-upon outcomes and proactively remove barriers to success. • Drive adoption beyond initial deployment by identifying new teams, workflows, and business processes that can benefit from Jasper. • Partner with customer champions to build internal momentum and lead organizational change. • Recommend governance, enablement, and operating models that support sustainable, enterprise-wide AI adoption, helping customers mature from experimentation to scaled AI programs. • Orchestrate internal teams—Solutions Architects, Product, Marketing, and Customer Education—to deliver an exceptional customer experience. • Collaborate with Product to advocate for customer needs and influence roadmap priorities, synthesizing patterns across your book of accounts into actionable product insight. • Work alongside Account Executives to surface strategic growth opportunities, while the commercial team owns pricing, renewals, and contracting. • Manage complex, executive-level escalations while preserving the relationship and driving to a concrete resolution. • Surface customer success stories and best practices, and identify opportunities for customers to participate in speaking engagements, advisory councils, reference programs, and case studies. • Bring insights from enterprise customers back into Jasper to improve products and customer programs.

• Support Enterprise AI Program Office work across assigned workstreams, business areas, functional stakeholder groups, governance backlog items, enablement activities, and special initiatives. • Help shape, assess, and route AI opportunities by clarifying business value, user population, data sensitivity, workflow impact, autonomy level, vendor or tool status, regulated process exposure, technical dependencies, adoption needs, and support model. • Maintain the enterprise AI portfolio and backlog view across business use cases, functional roadmaps, platform requests, AI tools, pilots, production candidates, adoption initiatives, and workforce enablement activities. • Coordinate risk-triggered governance and control activities with Legal, Privacy, Information Security, QA/Compliance, Enterprise Architecture, SWE, IT, data owners, business owners, and other accountable subject matter experts when those reviews are needed. • Prepare and maintain practical operating artifacts such as intake records, decision logs, AI impact assessments, review packets, action logs, risk registers, exception records, implementation readiness checklists, service-model documentation, and evidence records. • Build and maintain reusable Enterprise AI Program Office assets, including service catalog content, intake guidance, assessment criteria, starter kits, tool-selection guidance, playbooks, templates, FAQs, office-hours materials, and training support materials. • Support functional AI leaders and business stakeholders by gathering department needs, adoption barriers, tool feedback, success stories, recurring questions, and demand signals; synthesize patterns for program office and sponsor review. • Coordinate readiness checkpoints with Forward Deployed Engineers, SWE, Enterprise Architecture, IT, data architecture, vendors, and platform partners so business requests have clear owners, dependencies, sequencing, and implementation paths. • Track AI-related issues, incidents, near misses, policy exceptions, duplicated efforts, unclear ownership, blocked handoffs, adoption friction, and lessons learned; help convert recurring patterns into improved guidance and processes. • Prepare sponsor and executive reporting inputs, including portfolio dashboards, roadmap updates, operational metrics, adoption signals, risks, open decisions, RAID summaries, and recommended next actions. • Continuously improve AI intake, opportunity assessment, prioritization, governance routing, pilot launch, scaling, functional engagement, service request, and benefit-tracking processes as the program office matures. • All other duties as assigned.

• Define what good looks like for AI-augmented primary care, setting the clinical standards and safety guardrails our models and products are held to. • Contribute to provider and patient-facing AI applications, including building multi-agent architectures for solving clinical and subclinical problems across acute and chronic care management, and translating clinical best practices and guidelines into structured logic for grounding LLMs. • Lead or co-author clinical research publications in top-tier journals. • Work fluidly across AI, product, design, and operations, communicating complex clinical concepts clearly to non-clinical audiences.