Kin is redesigning insurance to be smarter, faster, and centered on the customer. We use intelligent pricing, offer seamless bundling, and make every step (from purchasing, servicing to claims) simple and friction-free, especially in the places traditional insurers often ignore.We empower people to protect what matters most, starting with their homes and expanding to all they value, in a world where climate risks, rising costs, and outdated systems leave too many behind. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to:Built In Chicago's Best Places to Work, Midsize Companies (2021-2025).Forbes' America's Best Startup Employers (2021- 2024, Ranked #37 in 2024).Inc. 5000 Fastest-Growing Private Companies.Forbes’ Fintech 50.Simply put, our people are what make us great – we need forward-thinking, inspired game-changers like you to join us in our mission.So, what’s the role?We are seeking an exceptional Principal Data Product Manager to lead our most strategic data initiatives and shape the future of Kin's data product portfolio. As a senior leader on our Data Product team, you will drive enterprise-level data solutions that power our homeowners insurance business at scale. This role requires a unique blend of strategic vision, deep technical expertise, and the ability to influence across all levels of the organization.In this role, you will own the strategic direction for complex, high-impact data products that span multiple teams and business functions. You will work directly with executive leadership to identify opportunities where data can transform our business, define the vision for how we leverage data to drive competitive advantage, and lead cross-functional teams to execute on that vision. You will serve as both a thought leader and hands-on practitioner, balancing strategic planning with tactical execution.Your success will depend on your ability to navigate ambiguity, synthesize complex technical and business requirements, and build consensus among diverse stakeholders including engineering, data science, analytics, marketing, finance, insurance operations, and executive leadership. You will be expected to mentor other product managers, establish best practices for the data product team, and drive a culture of data-driven decision making across the organization. This is an opportunity to have a significant impact on a rapidly growing InsurTech company and help define the future of how insurance companies leverage data.A day in the life could include:Partnering with C-level executives and senior leadership to define the long-term strategic vision for Kin's data platform and analytics capabilitiesLeading the discovery and validation of transformational data product opportunities that can drive significant business value, competitive differentiation, or operational efficiencyOwning and communicating a multi-year roadmap for enterprise data products, ensuring alignment with company OKRs and making strategic trade-off decisions on prioritiesArchitecting end-to-end data product solutions that require deep understanding of data modeling, data pipelines, analytics infrastructure, and how different data systems integrateConducting sophisticated data analysis using SQL to identify trends, validate hypotheses, and quantify the business impact of proposed solutionsCollaborating with data science teams to design and implement machine learning models, experimentation frameworks, and predictive analytics solutionsTranslating complex technical concepts and data models into clear narratives for non-technical stakeholders and executive presentationsLeading cross-functional working groups with representatives from engineering, data engineering, data science, analytics, and business stakeholders to drive alignment on complex initiativesDefining comprehensive success metrics and KPIs for your products, establishing data governance practices, and building dashboards to monitor product health and business impactMentoring and coaching junior and mid-level product managers on best practices in data product management, stakeholder management, and technical decision-makingEvaluating and recommending new data technologies, tools, and platforms that could enhance our data capabilitiesDriving organizational change management to ensure successful adoption of new data products and processes across the companyRepresenting the Data Product team in executive forums and company-wide strategic planning sessionsI’ve got the skills… but do I have the necessary ones?10+ years of professional experience in product management, data analytics, or related technical roles5+ years of product management experience specifically focused on data products, analytics platforms, or business intelligence solutionsProven track record of leading large-scale, complex data initiatives from conception through successful delivery and adoptionExpert-level proficiency in SQL with demonstrated ability to write complex queries, optimize performance, and work with large datasetsStrong understanding of data modeling principles including dimensional modeling, normalization, data warehousing concepts, and modern data architecture patternsWorking knowledge of data science methodologies including statistical analysis, machine learning concepts, A/B testing, and experimentation designExperience working with modern data stacks and big data technologies (e.g., cloud data warehouses, ETL/ELT tools, BI platforms like Tableau, Looker, or similar)Hard SkillsStrategic thinking with ability to connect technical solutions to business outcomes and articulate clear ROIExpert ability to synthesize ambiguous, incomplete, or conflicting information into clear strategies and action plansAdvanced data analysis and quantitative reasoning skillsStrong technical acumen with ability to engage in architectural discussions with engineering teamsExperience with agile methodologies and leading engineering teams in fast-paced environmentsExceptional written and verbal communication skills with ability to present to executive audiencesDeep understanding of data governance, data quality, and analytics best practicesProven project management capabilities for complex, multi-team initiativesSoft SkillsExecutive presence with ability to influence and build trust with senior leadershipDemonstrated leadership in mentoring and developing other product managersHigh emotional intelligence with ability to navigate organizational dynamics and build consensusComfortable with ambiguity and able to make decisions with incomplete informationExceptional stakeholder management across all levels of an organizationCollaborative mindset that values diverse perspectives and healthy debateGrowth mindset with intellectual curiosity and commitment to continuous learningResilient under pressure with ability to manage multiple high-stakes initiatives simultaneouslyBonus PointsExperience in InsurTech, FinTech, or other highly regulated industriesBackground in insurance operations, underwriting, claims, or actuarial scienceHands-on experience building or training machine learning modelsFamiliarity with modern data orchestration tools (Airflow, dbt, etc.)Experience with real-time data processing and streaming analyticsTrack record of successful AI/ML product implementations in production environmentsPrevious experience establishing data product management practices or building data product teams from the ground upAdvanced degree in Computer Science, Statistics, Data Science, or related quantitative fieldExperience with customer data platforms (CDPs) and marketing analyticsKnowledge of data privacy regulations and compliance requirements (GDPR, CCPA, etc.)Oh, and don’t worry, we’ve got you covered!We offer a comprehensive benefits program, allowing you to choose the benefits that are best for you and your family including: Medical, Dental, Vision, Life Insurance and Disability Insurance options, Employee Assistance Program, as well as elective voluntary benefits such as accident insurance, hospital indemnity, critical illness, legal assistance and pet insurance. Kinfolk become eligible for benefits on the first day of the month following their start date.In addition to these benefits, we also are excited to offer the following:Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level.401K with company match of up to 4% of eligible earningsFlexible PTO for exempt employees (employees typically take 15-20 days annually), along with 8 company-observed holidaysA paid parental leave program that provides 100% salary continuation of up to 14 weeks for birthing parents and 8 weeks for non birthing parentsContinuing education and professional development opportunitiesThis role is eligible to earn additional compensation annually through participation in our Kin Leadership Incentive Plan.For Sales Agents and Customer Service Agents: These roles sit in any of the following 30 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI. For all other positions, these roles can sit in any of the following 40 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift.About KinKin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders. To learn more, visit www.kin.com. EEOC StatementKin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.