• Serve as the Product Owner supporting the Partner Delivery provider data scrum team, driving scalable, configurable provider data pipeline solutions. • Contribute to product vision, strategy, and roadmap in partnership with Product Managers and executive stakeholders. • Proactively identify opportunities to reimagine processes and introduce innovative solutions that improve scalability, flexibility, and client onboarding speed. • Translate client implementation requirements into user stories, data mapping requirements, and acceptance criteria. • Leverage modern tools—including LLMs and AI-assisted analysis—to accelerate requirements gathering, enhance product discovery, and improve solution design. • Champion a delivery model aligned to implementation milestones, go-live readiness, and client commitments—identify risks and gaps proactively, escalating and addressing them with guidance from leadership. • Develop subject matter expertise in provider data requirements, UM applications, partner integrations, and healthcare data standards (HL7, FHIR, EDI). • Own and maintain the product backlog, including prioritization, grooming, and sprint planning activities. • Support engineering with file transfer processes, data analysis, mapping requirements, and provider network design. • Work with cross-functional partners to bring clarity to ambiguous or evolving requirements, minimizing downstream rework. • Utilize AI-assisted tools to synthesize requirements, identify gaps, and improve documentation quality and speed. • Oversee technical specifications, release notes, and training materials. • Own user acceptance testing to ensure alignment with implementation requirements and stakeholder expectations. • Participate in production support, including issue reproduction, gap analysis, and resolution. • Build strong cross-functional relationships across product, data operations, and engineering teams. • Surface risks early, communicate trade-offs clearly, and manage stakeholder expectations. • Synthesize complex technical concepts into executive-level insights and support decision-making in steering committees. • Influence outcomes and drive alignment across stakeholders, even in complex or competing-priority environments. • Foster a culture of collaboration, transparency, and continuous improvement. • Drive standardization and optimization of provider data onboarding to reduce cycle time and improve quality. • Challenge existing processes and identify opportunities to modernize tools, workflows, and architecture. • Stay current with emerging technologies, including AI/LLM capabilities, to inform product strategy and delivery practices.

• Set the strategic direction for CHG's AI portfolio, building senior leadership alignment around the roadmap and driving decisions with significant influence on how the company operates. • Own the AI product strategy across multiple initiatives and teams, ensuring coherence, sequencing, and prioritization that reflect the company's highest-value opportunities. • Build and maintain a multi-year roadmap that anticipates market shifts, competitive dynamics, and emerging AI capabilities, rather than reacting to them. • Drive cross-functional alignment across engineering, legal, compliance, and business unit leaders on company-wide AI initiatives with significant financial and reputational stakes. • Act as the primary translator between technical capability and business strategy, advising executives on what's possible, what's risky, and what's worth funding. • Represent CHG's AI strategy externally and internally, including with partners, vendors, and potential M&A or build/buy decisions. • Mentor and develop senior and mid-level product managers, raising the bar for product craft and AI fluency across the organization. • Establish and own the metrics that determine success for AI investments at the portfolio level, going beyond individual feature adoption to enterprise ROI. • Define the evaluation frameworks, governance standards, and risk posture that other product managers and engineering teams build against, establishing what ethical, trustworthy, and safe AI practices mean at CHG.

• Own the Growth experimentation pipeline from ideation through implementation and analysis. • Lead approximately 10–20 product experiments each quarter focused on activation, onboarding, engagement, and retention. • Develop hypotheses grounded in customer behavior and business metrics. • Define success metrics before experiments launch and evaluate results using quantitative and qualitative data. • Partner with an embedded data analyst to uncover insights while independently exploring data to identify new opportunities and validate ideas. • Translate data, customer feedback, and experiment learnings into product decisions and future roadmap recommendations. • Partner closely with Engineering, Design, and Marketing to shape, build, launch, and evaluate experiments. • Balance rapid experimentation with larger strategic initiatives that improve long-term product growth. • Talk regularly with customers to better understand their needs and identify new opportunities. • Communicate experiment progress, learnings, and recommendations clearly across the organization.

• Own the vision and strategy for SeatGeek's Catalog and define how we build the most accurate, complete, and fresh representation of the live event world in the industry • Raise the bar on catalog coverage and freshness: get new events and onsales live faster, close inventory and matching gaps, and reduce the errors and staleness that erode fan trust and downstream conversion • Blend user, data, and domain knowledge to identify where better catalog data can redefine the fan experience (think seat features, views, maps, and enriched event content) and where it unblocks partner and operations workflows • Partner closely with operations and marketplace teams to design tooling and processes that let SeatGeek ingest and maintain catalog data at scale • Partner with analytics to define the metrics that matter for catalog health — coverage, freshness, accuracy, match rate — and build the dashboards and monitoring to hold the platform accountable to them • Advocate for and act as an ambassador to the rest of the company for Catalog, evangelizing work and celebrating wins; collaborate with PMs across the entire shopping funnel and post-purchase experience on dependencies and shared opportunities • Stay ahead of where AI, machine learning, and emerging technology can automate ingestion, improve matching, and enrich our representation of the live event experience • Provide mentorship to junior product team members and contribute to enhancing our product team culture and best practices