• Own roadmap development, backlog management, and stakeholder alignment for assigned workstreams within client engagements • Interface with client product counterparts, subject matter experts, and functional leads to translate business problems into delivered solutions • Help clients organize and improve their product processes, including implementing PDLCs and building cross-functional alignment • Bridge subject matter experts (clinical, operational, commercial) with engineering and design teams • Coordinate with Studio@Newfire to integrate research, service design, and UX into engagements • Advise clients on AI-powered product features and design patterns • Document reusable approaches, templates, and playbook elements for future engagements • Contribute to Newfire intellectual property and help shape how future consultants approach similar challenges.

• Define and execute the long-term strategy for the Backup & Disaster Recovery product portfolio, ensuring alignment with company goals. • Lead the product roadmap, prioritizing features and enhancements based on market trends, customer feedback, and competitive analysis. • Manage and mentor a dedicated team of product managers, fostering innovation and execution excellence. • Work closely with Engineering, UX, Sales, Marketing, and Support to deliver high-impact products. • Stay ahead of industry trends, emerging technologies, and competitor offerings to position our products effectively. • Engage with customers, partners, and internal stakeholders to gather insights and validate product direction. • Partner with Marketing and Sales to drive product launches, messaging, and adoption. • Define KPIs, track product performance, and iterate based on data-driven insights.

• Shape and execute product strategies that drive measurable business outcomes—especially around client retention, satisfaction, and product margin—within a mature, evolving product ecosystem. • Balance short-term delivery with long-term vision, ensuring teams are aligned on outcomes and that priorities reflect both customer value and business viability. • Help teams understand why decisions are made, building shared accountability and momentum within a value stream model. • Work closely within the product operating model alongside engineering, design, and impact teams to define, deliver, and iterate on high-impact features. • Help model and reinforce key principles of the product operating model, including user-centered design, continuous discovery, and business outcome alignment—even when others are new to this way of working. • Collaborate across departments, including selling teams, customer success, support, and marketing, to synthesize insights and surface customer pain points and opportunities at scale. • Influence a wide set of stakeholders to gain alignment and support across competing business priorities. • Lead customer discovery, synthesize qualitative and quantitative feedback, and translate those insights into actionable roadmaps. • Help others see the connection between user feedback and business outcomes, building buy-in through clear communication and strategic framing. • Conduct competitive analysis and share insights that support informed prioritization and long-term planning. • Leverage your knowledge of AI to identify opportunities for intelligent automation, personalization, or enhanced analytics within the product. • Work alongside our Platform and Innovation teams to ensure any AI-powered features are meaningful, ethical, and grounded in real user behavior. • Define and track product success metrics related to retention, satisfaction, and business performance. • Use both qualitative and quantitative data to drive continuous improvement, ensuring product enhancements are resonant and results-driven. • Collaborate with the future-focused product improvement team to ensure innovation is grounded in data from existing customer behavior and use.

• Stand Up the AI Center of Excellence (0-6 Months) • Define the vision and strategy for AI at Tivity Health • Establish governance frameworks for responsible AI • Create the AI product playbook • Identify and prioritize initial AI use cases • Own the end-to-end product lifecycle for AI initiatives • Partner with data science and engineering teams • Run experiments and pilots to test hypotheses • Own progress reporting for all AI initiatives • Create compelling data stories to translate metrics into business impact