Sr Asset Owner - Personal Insurance Data Science

About the Role

Key Responsibilities

• Lead the execution of marketing and communication strategies to promote the Data Science portfolio.
• Craft compelling narratives around analytical results, including business impact analyses and leadership presentations.
• Translate complex data science and engineering outputs into clear, actionable insights for business partners.
• Build strong partnerships with cross-functional stakeholders at all levels to ensure alignment and drive solution adoption.
• Act as a liaison between technical teams and business units, ensuring solutions address real business problems and deliver expected value.
• Provide hands-on support to Data Science and Engineering teams by managing project roadmaps, execution timelines, and stakeholder updates.
• Identify gaps and opportunities in current processes and champion innovative, data-driven solutions to enhance efficiency and mitigate risk.
• Support the development and implementation of critical operating routines and agile practices.
• Facilitate cross-functional collaboration to build and scale solutions with an entrepreneurial mindset.

Requirements

• 5+ years of experience supporting analytic or machine learning product ownership or technical development in insurance or related field.
• Advanced domain knowledge in insurance product, rating algorithms, and KPIs.
• Skilled at translating complex technical topics into business strategies and converting business needs into technical solutions.
• Proficiency in impactful storytelling, communication, and relationship-building across technical and non-technical audiences.
• Understanding of the integration of analytic and data science solutions into business strategy.
• Experience with leading project execution and driving change through quantitative techniques.
• Intermediate understanding of statistics, the analytical project lifecycle, data science concepts, data transformation, and data warehouse concepts.
• Ability to quickly gain business-side domain knowledge, including understanding of general processes and key initiatives.
• Agile and Product Owner experience is a plus.
• Candidate must be authorized to work in the US without company sponsorship.

Nice to Have

• Familiarity with insurance loss models.
• Experience with agile methodologies and product ownership.

Qualifications

• Proficiency in data science, analytics, or related technical fields.
• Experience supporting analytic or machine learning product development.
• Knowledge of insurance products, rating algorithms, and KPIs.

Benefits & Perks

• Competitive annualized base pay range of $109,520 - $164,280, with potential variation based on performance and competencies.
• Additional rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
• Work schedule includes a hybrid model with in-office presence 3 days a week in Columbus, OH, Chicago, IL, Hartford, CT, or Charlotte, NC.