Description Do you have a passion for data? This is your opportunity to take on a leadership role in a highly influential, visible, collaborative, and fast paced environment! The Data Office has been recognized as an essential service provider for our company and is pivotal in the success of our growth and profitability initiatives in the U.S personal and business lines organizations.The U.S Operations Data Office is looking for an energetic, self-motivated, technically proficient individual with a proven background in data analysis, modeling, and data management practices to fill the position of Data Steward (Director I Level) representing the Personal Lines Product, Pricing and Underwriting data domain. This role is primarily responsible for leading data transformation efforts to simplify and accelerate how we go to market, powered by a modern, future-ready unified insurance platform. The role will coordinate priorities and assess broad impacts across multiple stakeholder teams within the Data Office and the broader U.S. business organization as we continue to modernize our analytics and reporting environments.Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.Responsibilities:• Refine, implement, and maintain a comprehensive data roadmap for current and future initiatives to support the development of a unified insurance platform and value touchpoints that enable multiple areas of the business, ensuring alignment with overall U.S Operations strategy• Translate this high-level plan into actionable epics in partnership with product owners as near-term plans are elaborated• Provide technical and business-centric guidance for the modernization of Product, Pricing, and UW systems onto our new tech stack by influencing and collaborating with teams along the data value chain• Classify a

Data Steward: Personal Lines Product, Pricing and Underwriting data domain