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Product Owner (OmniAnalyst)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 what's 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: Bachelor's 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
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.Skills Required
- Bachelor's degree in Business Administration, Information Systems, Data Analytics, or a related field, or equivalent education and relevant experience
- Five years of related experience or an equivalent combination of education and experience
- Experience performing business analysis, requirements definition, or supporting product delivery
- Experience delivering product capabilities for data analytics, business intelligence, or enterprise software platforms
- Experience supporting AI, machine learning, generative AI, or data-driven product initiatives
- Experience in claims, insurance, healthcare, or other regulated operational environments
- Experience working within agile or hybrid delivery teams
- Strong product and requirements documentation skills
- Ability to translate business needs into detailed user stories and acceptance criteria
- Working knowledge of data models, KPIs, metric definitions, dashboards, and self-service analytics
- Understanding of AI feature evaluation, including accuracy, reliability, and explainability
- Familiarity with agile delivery practices and backlog management
- Ability to assess scope, dependencies, and delivery complexity
- Strong analytical, problem-solving, organizational, communication, collaboration, and stakeholder management skills
Sedgwick Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sedgwick and has not been reviewed or approved by Sedgwick.
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Leave & Time Off Breadth — Generous paid time off and paid holidays are emphasized, with PTO accruals increasing with tenure. Paid parental leave and caregiver support further expand time-off coverage.
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Healthcare Strength — Medical, dental and vision coverage is complemented by telemedicine and a personal health concierge. Wellbeing supports such as diabetes and weight-management programs, fertility services, and robust mental-health access (coaching, therapy, psychiatry) broaden care.
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Parental & Family Support — Paid parental leave and caregiver support are offered alongside family-forming resources. Fertility services and adoption assistance reinforce family-oriented benefits.
Sedgwick Insights
What We Do
From our modest beginnings as a regional claims administrator, Sedgwick has grown into a leading global provider of technology-enabled risk, benefits and integrated business solutions with 31,000+ colleagues, located across 80 countries. Through innovative product development, organic business development and strategic acquisitions, Sedgwick’s offerings continue to evolve beyond claims processing to meet the current and future needs of our clients. Our approach to delivering quality service in areas such as workers’ compensation, liability, property, disability and absence management goes far beyond just managing claims—we aim to simplify the process and reduce complexity, making it easy and effective for everyone involve.
Why Work With Us
We stay tuned into what our colleagues want and need and deliver a world-class colleague experience that demonstrates how much we value their unique contributions to our business. You’ll see and feel what it’s like to work for a company that’s committed to doing the right thing – for those we serve, for our planet and for each other.
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