Principal Data Product Manager

Kin Insurance

1d

About The Position

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most, starting with their homes and expanding to all they value, in a world where climate risks, rising costs, and outdated systems leave too many behind.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.

Requirements

• 10+ years of professional experience in product management, data analytics, or related technical roles
• 5+ years of product management experience specifically focused on data products, analytics platforms, or business intelligence solutions
• Proven track record of leading large-scale, complex data initiatives from conception through successful delivery and adoption
• Expert-level proficiency in SQL with demonstrated ability to write complex queries, optimize performance, and work with large datasets
• Strong understanding of data modeling principles including dimensional modeling, normalization, data warehousing concepts, and modern data architecture patterns
• Working knowledge of data science methodologies including statistical analysis, machine learning concepts, A/B testing, and experimentation design
• Experience working with modern data stacks and big data technologies (e.g., cloud data warehouses, ETL/ELT tools, BI platforms like Tableau, Looker, or similar)
• Strategic thinking with ability to connect technical solutions to business outcomes and articulate clear ROI
• Expert ability to synthesize ambiguous, incomplete, or conflicting information into clear strategies and action plans
• Advanced data analysis and quantitative reasoning skills
• Strong technical acumen with ability to engage in architectural discussions with engineering teams
• Experience with agile methodologies and leading engineering teams in fast-paced environments
• Exceptional written and verbal communication skills with ability to present to executive audiences
• Deep understanding of data governance, data quality, and analytics best practices
• Proven project management capabilities for complex, multi-team initiatives
• Executive presence with ability to influence and build trust with senior leadership
• Demonstrated leadership in mentoring and developing other product managers
• High emotional intelligence with ability to navigate organizational dynamics and build consensus
• Comfortable with ambiguity and able to make decisions with incomplete information
• Exceptional stakeholder management across all levels of an organization
• Collaborative mindset that values diverse perspectives and healthy debate
• Growth mindset with intellectual curiosity and commitment to continuous learning
• Resilient under pressure with ability to manage multiple high-stakes initiatives simultaneously

Nice To Haves

• Experience in InsurTech, FinTech, or other highly regulated industries
• Background in insurance operations, underwriting, claims, or actuarial science
• Hands-on experience building or training machine learning models
• Familiarity with modern data orchestration tools (Airflow, dbt, etc.)
• Experience with real-time data processing and streaming analytics
• Track record of successful AI/ML product implementations in production environments
• Previous experience establishing data product management practices or building data product teams from the ground up
• Advanced degree in Computer Science, Statistics, Data Science, or related quantitative field
• Experience with customer data platforms (CDPs) and marketing analytics
• Knowledge of data privacy regulations and compliance requirements (GDPR, CCPA, etc.)

Responsibilities

• Partnering with C-level executives and senior leadership to define the long-term strategic vision for Kin's data platform and analytics capabilities
• Leading the discovery and validation of transformational data product opportunities that can drive significant business value, competitive differentiation, or operational efficiency
• Owning and communicating a multi-year roadmap for enterprise data products, ensuring alignment with company OKRs and making strategic trade-off decisions on priorities
• Architecting end-to-end data product solutions that require deep understanding of data modeling, data pipelines, analytics infrastructure, and how different data systems integrate
• Conducting sophisticated data analysis using SQL to identify trends, validate hypotheses, and quantify the business impact of proposed solutions
• Collaborating with data science teams to design and implement machine learning models, experimentation frameworks, and predictive analytics solutions
• Translating complex technical concepts and data models into clear narratives for non-technical stakeholders and executive presentations
• Leading cross-functional working groups with representatives from engineering, data engineering, data science, analytics, and business stakeholders to drive alignment on complex initiatives
• Defining comprehensive success metrics and KPIs for your products, establishing data governance practices, and building dashboards to monitor product health and business impact
• Mentoring and coaching junior and mid-level product managers on best practices in data product management, stakeholder management, and technical decision-making
• Evaluating and recommending new data technologies, tools, and platforms that could enhance our data capabilities
• Driving organizational change management to ensure successful adoption of new data products and processes across the company
• Representing the Data Product team in executive forums and company-wide strategic planning sessions

Benefits

• Medical, Dental, Vision, Life Insurance and Disability Insurance options
• Employee Assistance Program
• elective voluntary benefits such as accident insurance, hospital indemnity, critical illness, legal assistance and pet insurance
• 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 earnings
• Flexible PTO for exempt employees (employees typically take 15-20 days annually), along with 8 company-observed holidays
• A paid parental leave program that provides 100% salary continuation of up to 14 weeks for birthing parents and 8 weeks for non birthing parents
• Continuing education and professional development opportunities
• This role is eligible to earn additional compensation annually through participation in our Kin Leadership Incentive Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees