Sr. Product Manager, Data

At Covered, we are focused on making insurance easy to understand and painless to purchase. We combine intuitive technology with a human touch to help consumers quote, compare, and purchase multiple insurance products in minutes. By partnering with lenders, financial institutions, and fintech companies, we deliver our personalized embedded insurance marketplace to their customers.What Is Covered?The best-in-class B2B2C embedded insurance marketplace built specifically for fintechs. We combine award-winning digital insurance experiences, innovative technology, and industry-leading compliance programs to help our partners build a fully digital insurance experience using our APIs, pre-built UI components, and full-service licensed stack.About This RoleWe are seeking a highly skilled and motivated data leader to partner with our team of analysts and drive data-driven decision-making across the business. In this role, you will be responsible for ensuring that our data processes are robust, scalable, and aligned with our business goals. You'll play a pivotal role in turning data into actionable insights that will shape our strategy and operations in a fast-paced startup environment.Yep, We Have Benefits!At Covered, our cultural DNA is our brand! This position includes a competitive benefits package to include an extraordinary culture, medical, dental, vision, FSA, HSA, AD&D, Life Insurance, STD, LTD, 401(k), casual time off, and 11 paid holidays.Key Responsibilities:Own the Data Product Roadmap:Define and deliver the vision, strategy, and execution for Covered's data initiatives, including the management of the data lake in partnership with data engineering to support product analytics, partner analytics, and internal business intelligence.Prioritize and manage the product analytics platform to provide real-time insights that empower better decision-making for product and business teams.Drive partner analytics, ensuring our external stakeholders have the insights they need to maximize the value from their partnerships with Covered.Lead the development of internal BI tools to enable data-driven decision-making across sales, marketing, and agency operations teams.Data Lake Management & Strategy:Oversee the architecture, scalability, and performance of the data lake, ensuring it meets the growing data needs of Covered.Ensure data is properly ingested, processed, and accessible for analysis and reporting by teams across the organization.Manage Databricks integration or similar platforms, leveraging them to optimize workflows, streamline data pipelines, and support advanced analytics.Leadership & Cross-Functional Collaboration:Ensure data accuracy and governance through cross-functional enablement work with teams creating or modifying data sources.Manage and lead a team of data engineers and analysts, fostering a collaborative and high-performing culture.Work cross-functionally with product managers, business development, sales, marketing, and leadership to define data needs, make work visible, and ensure alignment with organizational goals.Act as a key liaison with the engineering team to ensure smooth integration and delivery of data products.Strategic Data Management:Develop scalable data strategies, ensuring our platforms and tools meet the growing needs of the company and partners.Enable transparency in data operations, building processes that clarify the availability, usage, and reliability of insights across all teams.Define KPIs for product and partner analytics, ensuring that data-driven insights support key strategic initiatives.BI Enablement:Lead the charge in building out internal BI tools for our sales, marketing, and insurance agency performance teams.Ensure that the data tools and dashboards you deliver are user-friendly, intuitive, and directly support actionable insights.Make work visible across the company by building dashboards, running training sessions, and embedding data into everyday operations.Role Accountabilities Include, But Are Not Limited To:Partner with, lead, and mentor a team of data analysts, providing guidance on best practices, tools, and techniques.Foster a collaborative and inclusive team culture that promotes continuous learning and professional growth.Set clear goals and performance metrics for the team, ensuring alignment with business objectives.Data Management & Analysis:Oversee the collection, organization, and analysis of data to support business decision-making.Conduct hands-on data analysis to identify trends, insights, and opportunities for business improvement and superior outcomes.Develop and maintain dashboards, reports, and other data products that provide actionable insights to stakeholders.Tooling & Automation:Design and build data tools and automated processes to enhance data accessibility and usability across the organization.Collaborate with stakeholders to understand business needs and translate them into technical requirements.Ensure the scalability, reliability, and efficiency of all data tools and systems.Partner with the engineering team on data engineering projects, including the development of data pipelines, integration of data sources, and data warehousing solutions.Contribute to the design and implementation of data architecture that supports both current and future business needs.Ensure data integrity, security, and compliance with industry standards and regulations.Cross-Functional Collaboration:Work closely with product, marketing, finance, and other teams to support data-driven decision-making.Serve as a key point of contact for data-related inquiries and initiatives across the organization.Provide training and support to non-technical stakeholders on data tools and best practices.What You’ll Bring:Builder’s Mentality: You love to create and iterate, whether it’s building a new data platform from scratch or rapidly improving existing tools. You thrive in a fast-paced startup environment and can balance strategic thinking with hands-on execution.Cross-Functional Leadership: You’re a master at working with and managing multiple stakeholders, understanding their needs, and ensuring they feel supported. You have experience leading teams and projects in highly collaborative environments.Data Lake and/or Databricks Experience: You have experience managing large-scale data lakes and are comfortable working with tools like Databricks to streamline data processes, enhance analytics capabilities, and deliver on business goals.Communication & Clarity: You can take complex data initiatives and make them clear, accessible, and visible to both technical and non-technical stakeholders. You have an excellent ability to communicate and translate technical issues into business implications.Data-Driven Decision Making: You have a proven ability to use data to influence and drive product and business decisions. You’re passionate about data and understand how to turn raw information into insights that support organizational growth.Technical Fluency: While you don’t need to be an engineer, you have a deep understanding of data engineering concepts, analytics tools, and BI platforms. You can work effectively with technical teams and understand the limitations and possibilities of data platforms.Qualifications:5+ years of experience in a product management role, with at least 2 years focused on data products or analytics.Experience managing data lakes and familiarity with Databricks or similar platforms.Experience working in fast-paced, cross-functional environments with complex stakeholder management.Strong understanding of data platforms, analytics, and business intelligence tools (e.g., Tableau, Looker, Google Analytics).Proven track record of delivering impactful data-driven products that meet business goals.Strong leadership skills with the ability to mentor and grow a team of data professionals.Excellent verbal and written communication skills, with the ability to present insights clearly and persuasively.About You And Your ExperienceBachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Engineering) or equivalent experience.5+ years of experience in data analysis, data engineering, or a related field, with at least 2 years in a leadership role.Proficiency in SQL, Python, or other data analysis and scripting languages.Experience with data visualization tools (e.g., Tableau, Power BI) and building dashboards.Strong understanding of data engineering concepts, including ETL processes, data warehousing, and data pipeline management.Excellent communication and interpersonal skills, with the ability to translate complex technical concepts to non-technical stakeholders.Proven ability to manage multiple projects simultaneously, with strong organizational and prioritization skills.Experience working in a fast-paced, dynamic environment, preferably in a startup or tech-focused company.

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