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

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)

Benefits

Medical, Dental, Vision, Life Insurance and Disability Insurance options
Employee Assistance Program
Accident insurance, hospital indemnity, critical illness, legal assistance and pet insurance
Competitive salary and company equity through Restricted Stock Units (RSUs)
401K with company match of up to 4% of eligible earnings
Flexible PTO for exempt employees (employees typically take 15-20 days annually)
8 company-observed holidays
Paid parental leave program providing 100% salary continuation up to 14 weeks for birthing parents and 8 weeks for non-birthing parents
Continuing education and professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLdata modelingdata pipelinesanalytics infrastructuremachine learningpredictive analyticsdata governanceA/B testingstatistical analysisdata warehousing

Soft skills

strategic visioncommunicationleadershipcollaborationmentoringstakeholder managementorganizational change managementdecision-makingalignmentpresentation