• Own the data platform roadmap. • Prioritize and manage initiatives for ingestion, transformation, categorization, storage, and delivery of data to downstream systems and products. • Manage vendor relationships. • Evaluate, negotiate, and oversee external data partnerships, ensuring quality, cost-effectiveness, and compliance • Lead internal data initiatives and guide the Data team in building categorization logic, enrichment pipelines, and insights layers to support reporting, analytics, and product functionality. • Define and document product requirements for data feeds, APIs, schemas, and reporting layers that will power customer facing applications • Partner with Engineering and Data teams to ensure robust architecture, scalability, and high quality data availability across products • Drive insight generation and collaborate with Data Science and Analytics teams to surface KPIs, benchmarks, and predictive capabilities that improve client outcomes. • Champion data quality and governance by setting standards for accuracy, consistency, and transparency across datasets. • Translate business needs into data capabilities, ensuring customer requirements are met with clear, actionable use cases. • Support go-to-market readiness by enabling Marketing, Sales, and Client Success with the right narratives, use cases, and enablement tools around data driven features. • Evaluate new data opportunities and identify emerging data sources, licensing models, and enrichment services that can expand product capabilities.

• Serve as the primary product point of contact for a portfolio of bank and acquirer tenants, running regular cadences to surface issues, share updates, and deepen platform utilisation. Manage escalations with urgency and clear communication. • Engage tenants to uncover and document product requirements, translating real-world pain points into structured briefs. Lead workshops, write user stories and acceptance criteria, and champion tenant needs internally to influence backlog prioritisation. • Develop deep knowledge of the mx51 platform - configuration options, integration patterns, and acquirer-specific capabilities. Be the go-to resource for tenants and internal teams on how products work and how to get the most from them. • Own tenant-facing documentation including user guides, feature overviews, and configuration references. Manage release note distribution, contextualising technical changes so tenants always know what's changing and what action is required. • Contribute to RFI/RFP responses, support tenant sales teams during client pitches, and identify opportunities where expanded product usage can unlock value for tenants and mx51. • Act as product SME during tenant onboarding, UAT, and go-live activities. Document gaps between deployment expectations and platform capabilities, feeding insights back into the product process.

• Work with the CEO, CTO, designers, and engineering team to design new features and improve existing features • Talk to lots of customers and prospects to understand what's important to them • Talk to the Sales, Customer Success, and Support teams to prioritize features that would help them achieve company goals • Write lots of tickets and answer clarifying questions from the engineers • Use product as a lever to drive business outcomes (MRR, new product adoption, etc.)

• Own the roadmap for Fulfillment & Delivery, spanning prescription writing and approval workflows, order creation and combination logic, pharmacy and carrier integrations, and the tooling that powers Hone’s pharmacy technology and operations teams • Own end-to-end medication delivery reliability, defining the metrics, building the visibility, and partnering across pharmacy operations, clinical operations, engineering, and finance to ensure every patient receives their medication on time, every time • Partner with engineering to design, specify, and ship reliable integrations with DoseSpot, pharmacies, supplement vendors, and shipping carriers • Define and track KPIs including first-fill and refill on-time delivery rates, time to first fill, order failure and error rates, and manual operational hours • Identify and prioritize opportunities to automate manual fulfillment workflows • Measure the success of launched features and develop data-driven solutions for improvement