• Drive the strategy, development, and delivery of ConnectWise platform solutions • Define requirements, prioritize backlogs, and deliver AI-enabled solutions • Collaborate with engineering, data, and AI/ML teams • Monitor product performance and user experience • Continuously identify opportunities to optimize workflows through AI and automation • Represent the product with partners and stakeholders

• Partner with the Head of Product to shape direction, then own the ideation, development, and launch of features that help people understand the news across perspectives. • Translate bias, factuality, and source-intelligence signals into simple, intuitive experiences that a broad consumer audience can understand and trust. • Partner with Marketing, Analytics, and Customer Success to drive subscriber growth and retention, with an eye to turning the everyday reading experience into sustainable reasons to upgrade and stay. • Analyze product metrics and user feedback to identify opportunities and optimize product performance. • Use a mix of quantitative data, experimentation, and user research to surface user behavior insights and make prioritization calls. • Set a high bar for quality and craft across the news-consumption experience. • Ship high-impact improvements at an effective cadence, balancing rapid iteration with our commitment to even-handedness and subscriber trust.

• conceives, develops, delivers, and manages products for customer use • leads all phases of the product life cycle • monitors efficacy of products and uses customer and business partner feedback to ensure products meet customer needs across each customer segmentation • begins to influence department's strategy

Role Description At Vantage, the Senior Data Product Manager is a member of our Data & Analytics team. The mission of the Data & Analytics team is to equip Vantage with the data infrastructure, platforms, and analytical capabilities needed to underwrite smarter, manage risk with precision, and move faster than our competitors. This is a high-ownership, hands-on role. You will manage product roadmaps for key initiatives relying on our internal data platforms — the pipelines, data warehouse, transformation layers, and self-serve tooling that our data engineers, analysts, and data scientists depend on daily. You will work at the intersection of technology and business impact, translating data strategy and requirements into a sequenced roadmap that engineering can execute and stakeholders can trust. The Senior Data Product Manager works closely with data engineering, reporting and business leads to define priorities, author detailed requirements and ensure solutions are adopted and delivering measurable value. This role is a leader in the full lifecycle of business requirements, solution design, build and test, deployment, and rollout. This role reports to the VP of Data Governance & EDW. This is a remote or hybrid opportunity depending on location. The base salary expectation for this role is between $130,000 and $175,000. Actual base salary for the selected candidate may be higher commensurate with candidate experience and expectations. Additionally, Vantage offers its colleagues: - Performance-based bonus potential - Strong health & welfare benefits - Retirement plans with company match - Competitive time off plans - A highly flexible work environment - Much more Responsibilities & Accountabilities - Product Strategy & Roadmap: - Own and maintain the roadmap for key data initiatives including ingestion pipelines, transformation layers, data warehousing, and self-serve analytics. - Translate business priorities and data team pain points into a sequenced, outcome-oriented roadmap with clear success metrics for every initiative. - Define and track platform KPIs — story sizing, adoption rates, data quality and delivery reliability — and use them to drive roadmap decisions. - Communicate roadmap direction and delivery status to both technical and business stakeholders with clarity and consistency. - Discovery & Requirements: - Conduct continuous discovery with internal customers — analysts, underwriters, business leads, actuaries, data engineers — to surface and prioritize unmet data needs. - Write crisp problem statements, user stories, and acceptance criteria that give engineering teams the clarity to execute without over-specifying the solution approach. - Identify and eliminate friction in how the data team produces, consumes, and governs data across the organization. - Elicit, analyze, and validate requirements across the full data lifecycle: sourcing, ingestion, transformation, storage, access, and consumption. - Delivery & Execution: - Partner with data engineering to plan and deliver platform improvements in agile cadence; own sprint priorities, remove blockers, and make scoping trade-offs with clear rationale. - Coordinate go-live plans including documentation, training, and rollout sequencing for internal users. - Manage and track requirements throughout the delivery lifecycle, ensuring changes are reflected in sprint planning and communicated to stakeholders. - Ensure new platform capabilities are transitioned to BAU operational processes and that adoption follows delivery. Qualifications - Bachelor’s degree in Computer Science, Information Systems or a related field, or equivalent professional experience. - 7+ years of experience in product management, with at least 3 years owning data platforms, data infrastructure, or analytics products in a complex organization. - Strong working knowledge of the modern data stack (e.g., dbt, Snowflake, or equivalent tools). - Ability to read and write SQL — not expected to write production queries, but deep enough in the data to QA assumptions and validate outputs. - Track record of shipping products for internal technical customers with measurable, documented outcomes. - Demonstrated ability to build and maintain a product roadmap that engineering teams can execute and business stakeholders can understand. - Experience in insurance, financial services, or another regulated industry. - Actively uses AI tools (e.g., Claude) to accelerate day-to-day product work — writing requirements, synthesizing discovery sessions, preparing stakeholder communications, and analyzing data faster than traditional methods allow. - Experience enabling business users to self-serve on data analysis, including identifying where users (underwriters, actuaries, finance) are stuck waiting on analyst support and championing AI-powered tools that close that gap. - Exposure to AI/ML workflows and an understanding of how model pipelines depend on upstream data quality and platform reliability. - Excellent listening, interpersonal, written, and oral communication skills; able to translate between technical and business audiences without losing nuance. - Independently motivated and self-directed; able to exercise independent judgment and act upon it in a fast-moving, startup-oriented environment. - Continuous learner, coachable, and open to feedback and trying new approaches. - Ability to effectively prioritize and execute under pressure while maintaining attention to detail and quality. - Expert collaborator who can build strong relationships within the Data team and with partners in other parts of the business. Our Vantage Values - Do What’s Right: be a force for good, for our customers, shareholders, colleagues, industry and communities. - Be Relentlessly Curious: ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined. - We’re Better Together: collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally. - Be Transparent: in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself. - Make A Difference: focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.