• Architect Signify’s AI Outreach and Rescheduling strategy, including the AI-driven orchestration logic required to capture and re-engage members following a cancelled appointment. • You will leverage Conversational AI (Voice and RCS) to create intelligent, supply-aware re-engagement flows and rigorous evaluation frameworks that maintain care continuity and protect our clinicians' productivity. • Communicate complex concepts, both written and verbally, to influence peers and stakeholders to make decisions or adjust approaches when needed. • Proactively identify user or business needs and recommend innovative solutions. • When necessary, drive tradeoff conversations and negotiate with teams and stakeholders to achieve roadmap objectives. • Deliver incremental user value by having a cross-functional view of the problem. • Develop a clear vision and short term and long-term roadmap with value definitions and measurable output; communicate this roadmap with customers and across the organization. • Observe and interview users across multiple product lines to aggregate and connect their feedback into defined problem statements. • Coordinate dependencies, communicate timelines, and manage stakeholder expectations across departments and product lines. • Understand high-level strategic levers and drivers of the business. • Develop and measure KPIs for the product to define, track and communicate value delivery. • Understand the healthcare industry, key trends, and current news and movement in the market.

• Design multi-agent systems to automate business workflows (content, product, growth). • Build and integrate AI agents using LLMs, APIs, and internal tools. • Define workflows, input/output contracts, and system architecture. • Continuously improve agent performance based on real metrics and feedback loops.

• Design, embed and continuously mature the enterprise-wide framework that governs how data and AI are sourced, managed, protected and deployed • Ensure practices align with industry standards including DCAM, NIST AI RMF and ISO 42001 • Proactively manage emerging AI and data risks • Work closely with Data & AI engineering, Risk & Compliance, Legal and Business Units • Lead the design and implementation of the enterprise Data & AI Governance framework • Own & Direct development and lifecycle management of data governance policies and standards • Partner in driving the organization's AI governance roadmap • Define and maintain governance operating model • Explore and integrate emerging technologies to streamline governance workflows • Ensure ongoing alignment with FHFA and other relevant regulations • Work with Risk, Compliance, Legal, and Internal Audit teams to identify data and AI-related risks • Monitor the organization's DCAM assessment scores and NIST AI RMF profile • Establish and embed enterprise data quality standards and measurement frameworks • Facilitate the Data Governance Council and domain stewardship forums • Collaborate with senior leaders across Business, Finance, Risk, Technology, and Legal & Compliance • Manage & Develop a high-performing team of five governance professionals • Define and maintain a suite of governance KPIs and KRIs reported to the VP, Data & AI on a regular basis

• Newsletter calls: Qualify contacts from our "KI-Klartext" AI newsletter and schedule initial meetings • Lead-magnet download calls: Call decision-makers who downloaded our guides, checklists, or whitepapers • DMC opening calls (prospective): Follow-up after events, webinars, and direct-mail campaigns • Thoroughly qualify leads and document them in Close CRM • Close coordination with the founder on pipeline and call quality