Product Owner (OmniAnalyst)

By joining Sedgwick youll be part of something truly meaningful. Its what our 33000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us experience our caring culture and enjoy work-life balance. Here theres no limit to what you can achieve.

Newsweek Recognizes Sedgwick as Americas Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

PRIMARY PURPOSE: The Product Owner plays a key role in building our next-generation AI-forward data analytics platform a tool designed to put trusted actionable insights into the hands of the people who need them faster than ever before. Partnering closely with the Product Manager this role translates business needs and product priorities into detailed actionable requirements and execution plans refines and manages the product backlog and ensures delivery drives meaningful business outcomes. The Product Owner may execute delegated Product Manager activities when capacity or capability constraints exist. This role is central to validating delivered functionality tracking adoption and outcomes and shaping how AI capabilities such as natural-language querying automated insight generation and intelligent recommendations come to life for users across the enterprise.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

• Partners with Product Managers on backlog refinement and prioritization for the analytics platform sequencing work based on user value data dependencies technical complexity and capacity.
• Defines development-ready stories and requirements by breaking down epics and features into user stories defining acceptance criteria and documenting data requirements metric definitions and high-level non-functional requirements such as performance security data access and auditability.
• Executes delegated Product Manager responsibilities when PM capacity or capability is limited ensuring continuity of product execution.
• Collaborates with engineering data engineering and analytics teams to ensure stories are well understood and aligned with business outcomes.
• Validates solutions for business units by participating in and supporting User Acceptance Testing including verifying the accuracy of data outputs reports and AI-generated insights against source data and defined acceptance criteria.
• Provides visibility into delivery and outcomes by tracking and reporting on delivery progress platform adoption and user engagement to surface risks dependencies and performance insights for stakeholders.
• Partners with Data Scientists ML Engineers and MLOps teams to translate AI/ML and generative AI capabilities into backlog items defining acceptance criteria that account for model behavior response accuracy explainability data dependencies and performance thresholds.
• Champions the user experience by gathering feedback from analysts operational leaders and business users to understand how they find interpret and act on data then turns those insights into product improvements.
• Partners with data governance privacy and security teams to ensure platform features align with data access controls regulatory requirements and responsible AI standards.

ADDITIONAL FUNCTIONS AND RESPONSIBILITIES

• Raises risks capacity concerns and reallocation recommendations to Product Managers.
• Supports sprint ceremonies by clarifying requirements and answering questions during delivery.
• Supports product demos walkthroughs and stakeholder communications helping business partners see whats possible with AI-powered analytics.
• Serves as a subject matter resource for platform workflows data sources and capabilities.
• Monitors deployed AI features for performance accuracy drift and user feedback and works with technical teams to surface retraining tuning or prompt refinement needs as backlog items.
• Stays current on emerging trends in AI generative AI and modern analytics tools bringing forward ideas that keep the platform ahead of the curve.
• Performs other duties as assigned.

QUALIFICATIONS

Education: Bachelors degree in Business Administration Information Systems Data Analytics or a related field from an accredited college or university preferred. Equivalent combination of education professional certifications and relevant work experience will be considered.

Experience:

• Five (5) years of related experience or an equivalent combination of education and experience required.
• Experience performing business analysis requirements definition or supporting product delivery required.
• Experience delivering product capabilities for data analytics business intelligence (BI) or other enterprise software platforms whether commercial SaaS or internally built required.
• Experience supporting AI machine learning generative AI or data-driven product initiatives preferred.
• Experience in claims insurance healthcare or other regulated operational environments preferred.
• Experience working within agile or hybrid delivery teams preferred.

Skills & Knowledge

• Strong product and requirements documentation skills.
• Ability to translate business needs into detailed user stories and acceptance criteria.
• Working knowledge of data analytics concepts such as data models KPIs and metric definitions dashboards and self-service analytics.
• Understanding of how AI-powered features are evaluated including accuracy reliability and explainability of outputs.
• Familiarity with agile delivery practices and backlog management.
• Ability to assess scope dependencies and delivery complexity.
• Strong analytical problem-solving and organizational skills.
• Experience tracking delivery metrics and supporting OKR reporting.
• Ability to understand and communicate budget impacts and delivery trade-offs.
• Excellent verbal and written communication skills including the ability to explain technical and AI concepts to non-technical audiences.
• Strong cross-functional collaboration and stakeholder management skills.
• Genuine curiosity and enthusiasm for using AI to change how people work with data.
• Ability to meet or exceed performance competencies.

WORK ENVIRONMENT

When applicable and appropriate consideration will be given to reasonable accommodations.

Mental: Clear and conceptual thinking ability; excellent judgment troubleshooting problem solving analysis and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines

Physical: Computer keyboarding travel as required

Auditory/Visual: Hearing vision and talking

As required by law Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set level of experience and cost of specific location. For the jurisdiction noted in this job posting only the range of starting pay for this role is ($100k-$130k). A comprehensive benefits package is offered including but not limited to medical dental vision 401k and matching PTO disability and life insurance employee assistance flexible spending or health savings account and other additional voluntary benefits.

#claimsexaminer #claims #hybrid #LI-REMOTE

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.