• Own the roadmap, requirements, and delivery of assigned AI solutions for equipment dealers (e.g., agentic workflows, predictive insights, recommendation systems, smart ingest). • Translate customer workflows, data constraints, and dealer pain points into clear PRDs, prototypes, and functional specifications. • Partner with Data Science/Engineering to define model behavior, evaluation criteria, guardrails, and acceptance thresholds. • Conduct structured model testing and evaluations (offline evals, human-in-the-loop testing, scenario testing). • Drive iterative prototyping to accelerate alignment and reduce development risk. • Establish and continuously improve AI product management standards for the organization—requirements templates, evaluation frameworks, prototyping practices, red/green testing, and UX patterns. • Mentor PMs and BAs on AI PM fundamentals, including writing prompts/specs, defining success metrics, running evaluations, and designing human-in-the-loop workflows. • Build repeatable launch playbooks for AI features: enablement, customer rollout, feedback loops, and performance monitoring. • Drive alignment across Product, Engineering, UX, Data Science, QA, and Customer teams to ensure timely delivery of AI features. • Collaborate with OEM and dealer partners to validate use cases and ensure data readiness (telematics, inspections, work orders, parts, etc.). • Maintain clear communication streams, ensuring stakeholders understand status, risks, and changes in model behavior or scope. • Serve as a subject-matter partner to leadership on prioritization, technical feasibility, and long-term AI platform strategy. • Ensure delivered models and features meet functional requirements, evaluation thresholds, safety guidelines, and performance KPIs. • Establish feedback loops to track model drift, accuracy, response quality, and user adoption. • Lead post-launch analysis to identify improvements and future opportunities.

• Define and own the product vision, roadmap, and backlog for the CRM migration program • Translate business needs into clear user stories, acceptance criteria, and prioritized backlog • Lead functional design and migration from Veeva CRM to Salesforce Life Sciences Cloud • Ensure data migration integrity, including HCP/HCO master data, interactions, and consent management • Collaborate with Sales, Marketing, Medical Affairs, Patient Services, Compliance, and IT stakeholders • Drive decision-making forums, backlog grooming, sprint planning, and demos • Own Agile ceremonies: sprint planning, backlog refinement, reviews, retrospectives • Ensure timely delivery of high-quality increments aligned with business priorities • Ensure CRM solution adheres to pharma compliance requirements

• Own the Vision: Develop and promote a product vision for how Cint’s Exchange can be reshaped around agentic delivery of insights. • Tell the Story: Masterfully articulate the 'why' behind your product strategy. Bring complex customer and technical problems to life, inspiring and aligning senior leadership and the broader organization around your vision. • Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical trade-offs. • Partner to Win: Build strong, trusted relationships with key stakeholders across R&D, Data Science, Commercial, Operations, Legal, and Marketing to ensure cross-functional alignment and a successful go-to-market.

• Own the Vision: Develop and promote a product vision for your part of Cint’s Exchange. We make long term investments with large payoffs for success, see the future and articulate it. • Tell the Story: Masterfully articulate the "why" behind your product strategy. Bring complex customer and technical problems to life, inspiring and aligning senior leadership and the broader organization around your vision. • Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical trade-offs. • Partner to Win: Build strong, trusted relationships with key stakeholders across R&D, Data Science, Commercial, Operations, Legal, and Marketing to ensure cross-functional alignment and a successful go-to-market.