Role Description The job profile for this position is Agile Product Management Senior Advisor, which is a Band 4 Senior Contributor Career Track Role. As a Product Manager within our Analytics Product Management team, you will play a key role in shaping how data and insights drive smarter decisions and better care. You will work with talented partners across business, data science, and engineering to build products that matter. Together, we deliver solutions that evolve, create value, and improve lives. Responsibilities - Define and champion a clear product vision that connects data and analytics to measurable business and customer outcomes. - Drive prioritization of customer and clinical insights that improve care plans, next best actions, and digital experiences. - Partner with business leaders, data scientists, and engineering teams to identify high-impact opportunities and bring them to life. - Ensure the product roadmap reflects user needs, business value, and long-term scalability. - Act as the voice of the customer by translating real-world needs into clear, actionable product direction. - Deliver incremental value by guiding Agile teams to build, test, and release solutions that users trust and adopt. - Own and refine product backlogs, ensuring features and stories clearly communicate expected outcomes and success criteria. - Collaborate with engineering leadership to align data, analytics, and technical capabilities with strategic goals. - Measure product performance and continuously improve based on insights, feedback, and outcomes. - Promote a strong product mindset across teams—focusing on value, usability, and continuous improvement. - Support adoption by driving clear communication, training, and engagement with stakeholders. Qualifications Required Qualifications - 5+ years of experience in analytics, data, or related fields. - 2+ years of experience working in Agile environments as a Product Manager, Product Owner, or similar role. - Demonstrated ability to define product vision, prioritize work, and deliver measurable business value. - Experience translating business needs into product roadmaps, epics, and user stories. - Ability to evaluate opportunities based on expected value, impact, and cost. - Strong problem-solving and strategic thinking skills with a focus on outcomes. - Excellent communication skills with the ability to influence and engage stakeholders at all levels. - Proven ability to manage multiple priorities and adapt in a fast-changing environment. - Experience measuring product success and using insights to drive continuous improvement. Preferred Qualifications - Bachelor’s degree or equivalent experience. - Experience in healthcare or a related industry. - Familiarity with data science, advanced analytics, or working closely with data scientists. - Experience with tools such as Jira or Rally for product and backlog management. - Experience building and managing product roadmaps. - Strong business acumen with a passion for improving customer experience. Requirements - If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. Benefits - Annual salary of 116,200 - 193,600 USD / yearly, depending on relevant factors, including experience and geographic location. - Eligible to participate in an annual bonus plan. - Comprehensive range of benefits, with a focus on supporting your whole health. - Health-related benefits including medical, vision, dental, and well-being and behavioral health programs. - 401(k) and company paid life insurance. - Tuition reimbursement. - A minimum of 18 days of paid time off per year and paid holidays.

• Establish a clear mobile product strategy and roadmap aligned to customer needs, business goals, and Service Fusion’s modernization priorities. • Improve mobile adoption, satisfaction, and reliability through measurable gains in usage, retention, workflow completion, performance, and customer feedback. • Launch and iterate on high-impact capabilities across offline workflows, job management, payments, estimates, invoices, customer records, photos, documents, signatures, training, and support access. • Strengthen Service Fusion’s mobile foundation by balancing near-term customer needs with long-term investments in scalability, reliability, and competitive differentiation. • Become an expert in the workflows of technicians, estimators, dispatchers, admins, and service business owners. • Lead discovery, usability testing, beta feedback analysis, and product analytics to identify the highest-value problems to solve. • Translate insights into simple, reliable mobile experiences that work in real-world field conditions, including low-connectivity environments. • Lead the product lifecycle from discovery through launch, measurement, and iteration. • Partner with design, engineering, QA, support, customer success, marketing, and sales enablement to deliver releases that are well-tested, well-supported, and adopted by customers. • Define clear requirements, success metrics, acceptance criteria, and launch plans while monitoring post-launch performance across adoption, retention, reliability, payments, support volume, and customer feedback. • Use AI tools to improve product discovery, customer feedback synthesis, research, documentation, requirements development, competitive analysis, and stakeholder communication. • Identify practical AI opportunities that help service professionals save time, reduce manual work, make better decisions, and complete field workflows more efficiently.

• Own the vision, strategy, and roadmap for Issue Management and Exception Management — positioning both as competitive differentiators that win enterprise GRC deals and drive retention • Build exception management from the ground up — partner closely with upmarket sales and solutions engineering to define what enterprise prospects need, scope the MVP, and ship the capability that unlocks deals • Lead the agentic AI opportunity for Issue and Exception Management — define and build AI-powered workflows that proactively surface compliance risks, automate issue routing and escalation, and reduce the manual overhead of managing exceptions at scale • Conduct deep customer discovery with enterprise accounts — understand how customers manage compliance issues and policy exceptions at scale, and translate those insights into scalable product solutions rather than one-off fixes • Partner with go-to-market to close the loop between product and pipeline — help position capabilities competitively, build the GTM motion for new features, and inform how sales and SEs talk about the product • Define success metrics and make data-informed decisions — establish KPIs for adoption, customer value, and business impact; use data to guide prioritization and communicate roadmap progress across EPD and leadership • You'll own two strategically important product areas — issue management is table-stakes for enterprise GRC customers, and exception management is an active deal-blocker that you'll be the person to solve • You're building greenfield — exception management is a first-class product build with clear customer demand, direct GTM pull, and a dedicated team behind you • You'll have a real opportunity to build the agentic future of compliance workflows — greenfield AI work with clear customer problems, enterprise scale, and a team ready to move fast • You'll work closely with go-to-market from day one — this is a high-visibility, commercially-connected PM role where the line between what you build and revenue outcomes is direct and short

• Own the product vision, strategy, and roadmap for marketing and media analytics, aligned to enterprise priorities and marketing outcomes. • Partner across marketing, media, analytics, finance, data science, and engineering to identify high-value opportunities and translate them into clear product direction. • Lead products and capabilities across campaign measurement, attribution, incrementality, audience analytics, forecasting, experimentation, performance reporting, and optimization. • Shape a clear point of view on KPI frameworks, measurement design, data quality, governance, and how analytics should inform investment decisions. • Work closely with engineering and data teams to define data requirements, instrumentation, model dependencies, and scalable platform capabilities. • Evaluate external platforms and partners across the martech, adtech, identity, and data collaboration ecosystem, and help drive build, buy, or partner decisions. • Define success metrics, drive adoption, and measure impact through business outcomes including efficiency, speed to insight, and return on media investment. • Communicate strategy, tradeoffs, progress, and outcomes clearly to senior leaders and cross-functional stakeholders.