Job Description – UW Analytics owner (Commercial Insurance) Role & Responsibilities: Collaborate with stakeholders (Domain Lead(Ops, IT, Data leads)) to understand the business needs and shape the vision and roadmap for data-driven initiatives to alignment with strategic priorities. Contributes to the development of the program vision. Communicates product and portfolio vision to their team. Work with data scientists, engineers, and designers to ensure that products get built efficiently, meet user needs, and provide actionable insights. Analyze data sources, data technologies and vendors providing data services to leverage in the data product roadmap development; Create necessary ER diagrams, data models, PRD/BRD to convey requirements Accountable for developing and achieving product level KPIs. Manages product(s) (data products) with a moderate degree of strategy, scope, and complexity. Ensuring data accuracy, consistency, and security by establishing data governance frameworks, defining data quality standards, and implement data management best practices to maintain high data integrity. Collaborates with technology and business leadership to align system/application integrations inline with business goals, priorities. Resolves open issues/questions quickly and efficiently. Owns and maintains the product backlog and is accountable for its contents and prioritization. Accountable for clear, actionable user stories. Sets priorities and actively participates in squad/team quarterly planning. Collaborates with more senior Product Owners to set priorities for program quarterly planning. Sets expectations with stakeholders for delivery of new capabilities, features, and functionalities. Participates in team demos, retrospectives, and all other ceremonies. Works daily with the agile working group, clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy. Monitors and maintains the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with�desired outcomes.� Analyzes and reports on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product. Understands regulatory, compliance, and other industry constraints on the product and prioritizes accordingly. Negotiates with internal and external teams to ensure priorities are aligned across squads/teams both within and outside the portfolio. The candidate should be flexible with providing 5-6 hours of overlap with US EST time zone. Candidate Profile: · Bachelor's degree in Computer Science, Business Administration, or related field; Master's degree preferred. Considerable relevant industry or functional experience in insurance. Experience with Commercial & Speciality Insurance products. (Pricing experience preferred) · Good understanding of data technologies, such as databases, data warehouses, and data lakes Knowledge of HXRenew and/or Verisk Rulebook preferred. Managing stakeholders requirements, translating and working with Tech teams. · Proven experience (5+ years) as a Data Product Owner, Data Product Manager, or similar role in data or software development or technology industry. · Familiar with programming languages, such as Python/R/SQL/SAS or cloud technologies like AWS, Azure or other simial paltforms to allow them to work with data scientists and developers to build and deploy data products. · Strong understanding of Agile methodologies, including Scrum and Kanban, and experience working in Agile environments. · Excellent analytical, problem-solving, and decision-making skills, with the ability to prioritize competing demands effectively. · Exceptional communication, negotiation, and interpersonal skills, with the ability to influence and collaborate across team. · Strong Presentation and leadership skills · Experience with product management tools such as JIRA, Trello, or Asana, and proficiency in Microsoft Office Suite. · Familiarity with UX/UI design principles, software development lifecycle (SDLC), and software engineering concepts is a plus. · Agile practitioner capabilities and experience working with or in Agile teams · Strong team-work, co-ordination, organization and planning skills Ability to capture complex requirements in a prioritized backlog
About Company
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
