AI Product Owner at Charlotte, NC/ Jersey City, NJ- ONSITE
Propelsys Technologies LLC · Charlotte, NC · 1 mo ago
MarketingFull-time
We need to output HTML fragment with sections for headings where content exists. The job description includes: Role: Product Owner, Location: Charlotte, NC/ Jersey City, NJ- ONSITE. Then description bullet points (actually paragraphs). There's also "Good-to-Have: MBA or advanced degree, CSPO or similar certifications". "Desired Experience Range** 12+ years". "Good to have Technical Skill Set Business Analysis, Insurance Domain Knowledge". Then contact info.
We must not repeat job title as heading. Use for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections have content.
We have description of role: deep insurance domain expertise, product ownership capabilities, etc. That could be "Responsibilities" or "About the role". Probably "About the role" for overview, then "Responsibilities" for duties, "Requirements" for needed experience/skills, "Qualifications" maybe for education/certifications, "Skills" for technical skill set.
We must not create sections with filler like "commensurate with experience". We have no explicit Pay, Benefits, Schedule. So omit those.
We must preserve all substantive info, not invent.
We need to format lists with
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections have content.
We have description of role: deep insurance domain expertise, product ownership capabilities, etc. That could be "Responsibilities" or "About the role". Probably "About the role" for overview, then "Responsibilities" for duties, "Requirements" for needed experience/skills, "Qualifications" maybe for education/certifications, "Skills" for technical skill set.
We must not create sections with filler like "commensurate with experience". We have no explicit Pay, Benefits, Schedule. So omit those.
We must preserve all substantive info, not invent.
We need to format lists with - for any list of duties/requirements/benefits. So we can turn bullet points into list items.
We need to remove boilerplate like navigation, EEO, etc. There's none.
We need to include location maybe in a short
under About the role? Could be part of About the role.
We must not include Job ID/requisition numbers.
We must output only HTML fragment.
Let's craft:
About the role
Product Owner position located in Charlotte, NC or Jersey City, NJ (onsite).
Then responsibilities: many bullet points.
We'll create Responsibilities
with - each duty.
List items:
- Deep insurance domain expertise - strong understanding of insurance business processes, regulatory requirements, underwriting workflows, claims lifecycle, policy administration, reinsurance operations, and insurance data models.
- Strong Product Ownership capabilities including backlog management, user story writing, sprint planning, acceptance criteria definition, release planning, and roadmap prioritization.
- Ability to define and communicate product vision, business value, and feature priorities aligned with AIG's Agentic AI Platform strategic objectives.
- Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms - understanding of AI capabilities, limitations, and applicability within insurance use cases.
- Strong analytical, problem-solving, and critical thinking skills - ability to translate complex insurance business problems into clear, actionable AI platform requirements.
- Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems.
- Strong collaboration, stakeholder management, facilitation, and communication skills across business, technology, and executive leadership audiences.
- Familiarity with insurance regulatory compliance, data privacy, audit, and risk management requirements.
- Serve as the Product Owner for one or more workstreams within the AIG Enterprise AI Agentic Platform, representing business needs and ensuring delivery of high-value platform capabilities aligned with insurance operations.
- Own, prioritize, and maintain the product backlog - defining epics, user stories, acceptance criteria, and feature specifications that reflect deep insurance domain knowledge and Agentic AI platform requirements.
- Translate AIG's insurance business requirements - spanning underwriting, claims, policy administration, reinsurance, and actuarial functions - into clear, actionable platform features and AI agent use cases.
- Partner closely with Enterprise Architects, Solution Architects, AI/ML Leads, Engineering Teams, and Business SMEs to ensure technical solutions align with insurance business objectives and regulatory requirements.
- Drive sprint planning, backlog grooming, story refinement, sprint reviews, and retrospectives in collaboration with Agile delivery teams.
- Define, monitor, and report on product KPIs, business value metrics, and platform adoption outcomes across insurance business units.
- Work with AIG business stakeholders to identify, prioritize, and validate Agentic AI use cases - ensuring alignment with business priorities, feasibility assessments, compliance requirements, and technology capabilities.
- Support UAT (User Acceptance Testing) planning, validation activities, defect triage, and stakeholder sign-off for platform releases.
- Facilitate stakeholder workshops, requirements sessions, and demos to gather insurance business input, validate platform capabilities, and drive adoption readiness.
- Maintain product roadmap alignment with program delivery timelines, business release schedules, and Agentic AI platform evolution strategy.
- Ensure all platform features comply with AIG's enterprise governance, security, audit, regulatory, and risk management frameworks applicable within the insurance industry.
- Support organizational change management, training readiness, and business adoption initiatives to drive successful deployment and sustained use of Agentic AI capabilities across AIG's insurance operations.
That's many items; okay.
Then Requirements/Qualifications: maybe combine.
We have "Good-to-Have: MBA or advanced degree, CSPO or similar certifications". Also "Desired Experience Range** 12+ years". Also "Good to have Technical Skill Set Business Analysis, Insurance Domain Knowledge". Also earlier we had "Experience with AI, GenAI..." etc but those were in responsibilities.
We can create
Requirements
with list:
- 12+ years of relevant experience.
- MBA or advanced degree (good to have).
- CSPO or similar certifications (good to have).
- Business Analysis skills.
- Insurance Domain Knowledge.
Maybe also "Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms" but that's already in responsibilities; but could also be a requirement. However we should not duplicate content? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. If it's already in responsibilities, we can keep it there; we don't need to repeat. But we could also include in Requirements if we want, but that would be duplication. Probably better to keep it only once under Responsibilities (since it's a capability). However the "Experience with AI..." is a capability, could be considered a requirement. But we already listed it under Responsibilities. It's okay to have it there only.
We also have "Strong Product Ownership capabilities including backlog management..." which is also a capability; we put under Responsibilities.
Thus Requirements section will have experience, education/certifications, business analysis, insurance domain knowledge.
We could also add "Strong analytical, problem-solving, and critical thinking skills" but that's also a capability; we could keep under Responsibilities.
Thus Requirements:
- 12+ years of relevant experience.
- MBA or advanced degree (good to have).
- CSPO or similar certifications (good to have).
- Business Analysis skills.
- Insurance Domain Knowledge.
We could also add "Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems." but that's also a capability; we could keep under Responsibilities.
Thus we have two sections: About the role, Responsibilities, Requirements.
We could also add a Skills section for technical skill set: Business Analysis, Insurance Domain Knowledge. But that's overlapping with Requirements. Perhaps we can put Skills as separate: Business Analysis, Insurance Domain Knowledge. But we already have those in Requirements. Might be redundant but okay if we want to follow instruction to prefer few substantive sections over many thin ones. So maybe combine Requirements and Skills into one section called Requirements & Skills. But we need to use allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can use Requirements and Skills separately if they have content. But we risk thin sections. However we have enough content for each.
Let's decide: Use Requirements for experience and education/certifications. Use Skills for Business Analysis, Insurance Domain Knowledge. Also maybe include "Experience with AI, GenAI..." but that's already in Responsibilities.
Thus:
Requirements
- 12+ years of relevant experience.
- MBA or advanced degree (good to have).
- CSPO or similar certifications (good to have).
Skills
- Business Analysis
- Insurance Domain Knowledge
But we also have "Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems." That is a skill; we could add to Skills.
Add that.
Thus Skills list includes:
- Business Analysis
- Insurance Domain Knowledge
- Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems.
Now we have About the role, Responsibilities, Requirements, Skills.
Check for any leftover substantive info not captured: "Good-to-Have: MBA or advanced degree, CSPO or similar certifications" captured. "Desired Experience Range** 12+ years" captured. "Good to have Technical Skill Set Business Analysis, Insurance Domain Knowledge" captured in Skills. Also we have "Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms - understanding of AI capabilities, limitations, and applicability within insurance use cases." That's in Responsibilities (we have bullet). Good.
"Strong analytical, problem-solving, and critical thinking skills - ability to translate complex insurance business problems into clear, actionable AI platform requirements." In Responsibilities.
"Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems." In Skills.
"Strong collaboration, stakeholder management, facilitation, and communication skills across business, technology, and executive leadership audiences." In Responsibilities.
"Familiarity with insurance regulatory compliance, data privacy, audit, and risk management requirements." In Responsibilities.
All good.
Now we need to output only HTML fragment, no markdown fences.
Let's craft final HTML.
Be careful to escape any special characters like & inside text? Not needed.
We'll produce:
About the role
Product Owner position located in Charlotte, NC or Jersey City, NJ (onsite).
Responsibilities
- Deep insurance domain expertise - strong understanding of insurance business processes, regulatory requirements, underwriting workflows, claims lifecycle, policy administration, reinsurance operations, and insurance data models.
- Strong Product Ownership capabilities including backlog management, user story writing, sprint planning, acceptance criteria definition, release planning, and roadmap prioritization.
- Ability to define and communicate product vision, business value, and feature priorities aligned with AIG's Agentic AI Platform strategic objectives.
- Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms - understanding of AI capabilities, limitations, and applicability within insurance use cases.
- Strong analytical, problem-solving, and critical thinking skills - ability to translate complex insurance business problems into clear, actionable AI platform requirements.
- Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems.
- Strong collaboration, stakeholder management, facilitation, and communication skills across business, technology, and executive leadership audiences.
- Familiarity with insurance regulatory compliance, data privacy, audit, and risk management requirements.
- Serve as the Product Owner for one or more workstreams within the AIG Enterprise AI Agentic Platform, representing business needs and ensuring delivery of high-value platform capabilities aligned with insurance operations.
- Own, prioritize, and maintain the product backlog - defining epics, user stories, acceptance criteria, and feature specifications that reflect deep insurance domain knowledge and Agentic AI platform requirements.
- Translate AIG's insurance business requirements - spanning underwriting, claims, policy administration, reinsurance, and actuarial functions - into clear, actionable platform features and AI agent use cases.
- Partner closely with Enterprise Architects, Solution Architects, AI/ML Leads, Engineering Teams, and Business SMEs to ensure technical solutions align with insurance business
under About the role? Could be part of About the role. We must not include Job ID/requisition numbers. We must output only HTML fragment. Let's craft:
About the role
Product Owner position located in Charlotte, NC or Jersey City, NJ (onsite).
Then responsibilities: many bullet points. We'll createResponsibilities
with- each duty.
List items:
- Deep insurance domain expertise - strong understanding of insurance business processes, regulatory requirements, underwriting workflows, claims lifecycle, policy administration, reinsurance operations, and insurance data models.
- Strong Product Ownership capabilities including backlog management, user story writing, sprint planning, acceptance criteria definition, release planning, and roadmap prioritization.
- Ability to define and communicate product vision, business value, and feature priorities aligned with AIG's Agentic AI Platform strategic objectives.
- Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms - understanding of AI capabilities, limitations, and applicability within insurance use cases.
- Strong analytical, problem-solving, and critical thinking skills - ability to translate complex insurance business problems into clear, actionable AI platform requirements.
- Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems.
- Strong collaboration, stakeholder management, facilitation, and communication skills across business, technology, and executive leadership audiences.
- Familiarity with insurance regulatory compliance, data privacy, audit, and risk management requirements.
- Serve as the Product Owner for one or more workstreams within the AIG Enterprise AI Agentic Platform, representing business needs and ensuring delivery of high-value platform capabilities aligned with insurance operations.
- Own, prioritize, and maintain the product backlog - defining epics, user stories, acceptance criteria, and feature specifications that reflect deep insurance domain knowledge and Agentic AI platform requirements.
- Translate AIG's insurance business requirements - spanning underwriting, claims, policy administration, reinsurance, and actuarial functions - into clear, actionable platform features and AI agent use cases.
- Partner closely with Enterprise Architects, Solution Architects, AI/ML Leads, Engineering Teams, and Business SMEs to ensure technical solutions align with insurance business objectives and regulatory requirements.
- Drive sprint planning, backlog grooming, story refinement, sprint reviews, and retrospectives in collaboration with Agile delivery teams.
- Define, monitor, and report on product KPIs, business value metrics, and platform adoption outcomes across insurance business units.
- Work with AIG business stakeholders to identify, prioritize, and validate Agentic AI use cases - ensuring alignment with business priorities, feasibility assessments, compliance requirements, and technology capabilities.
- Support UAT (User Acceptance Testing) planning, validation activities, defect triage, and stakeholder sign-off for platform releases.
- Facilitate stakeholder workshops, requirements sessions, and demos to gather insurance business input, validate platform capabilities, and drive adoption readiness.
- Maintain product roadmap alignment with program delivery timelines, business release schedules, and Agentic AI platform evolution strategy.
- Ensure all platform features comply with AIG's enterprise governance, security, audit, regulatory, and risk management frameworks applicable within the insurance industry.
- Support organizational change management, training readiness, and business adoption initiatives to drive successful deployment and sustained use of Agentic AI capabilities across AIG's insurance operations.
That's many items; okay.
Then Requirements/Qualifications: maybe combine.
We have "Good-to-Have: MBA or advanced degree, CSPO or similar certifications". Also "Desired Experience Range** 12+ years". Also "Good to have Technical Skill Set Business Analysis, Insurance Domain Knowledge". Also earlier we had "Experience with AI, GenAI..." etc but those were in responsibilities.
We can create
Requirements
with list: - 12+ years of relevant experience. - MBA or advanced degree (good to have). - CSPO or similar certifications (good to have). - Business Analysis skills. - Insurance Domain Knowledge. Maybe also "Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms" but that's already in responsibilities; but could also be a requirement. However we should not duplicate content? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. If it's already in responsibilities, we can keep it there; we don't need to repeat. But we could also include in Requirements if we want, but that would be duplication. Probably better to keep it only once under Responsibilities (since it's a capability). However the "Experience with AI..." is a capability, could be considered a requirement. But we already listed it under Responsibilities. It's okay to have it there only. We also have "Strong Product Ownership capabilities including backlog management..." which is also a capability; we put under Responsibilities. Thus Requirements section will have experience, education/certifications, business analysis, insurance domain knowledge. We could also add "Strong analytical, problem-solving, and critical thinking skills" but that's also a capability; we could keep under Responsibilities. Thus Requirements: - 12+ years of relevant experience. - MBA or advanced degree (good to have). - CSPO or similar certifications (good to have). - Business Analysis skills. - Insurance Domain Knowledge. We could also add "Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems." but that's also a capability; we could keep under Responsibilities. Thus we have two sections: About the role, Responsibilities, Requirements. We could also add a Skills section for technical skill set: Business Analysis, Insurance Domain Knowledge. But that's overlapping with Requirements. Perhaps we can put Skills as separate: Business Analysis, Insurance Domain Knowledge. But we already have those in Requirements. Might be redundant but okay if we want to follow instruction to prefer few substantive sections over many thin ones. So maybe combine Requirements and Skills into one section called Requirements & Skills. But we need to use allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can use Requirements and Skills separately if they have content. But we risk thin sections. However we have enough content for each. Let's decide: Use Requirements for experience and education/certifications. Use Skills for Business Analysis, Insurance Domain Knowledge. Also maybe include "Experience with AI, GenAI..." but that's already in Responsibilities. Thus:Requirements
- 12+ years of relevant experience.
- MBA or advanced degree (good to have).
- CSPO or similar certifications (good to have).
Skills
- Business Analysis
- Insurance Domain Knowledge
About the role
Product Owner position located in Charlotte, NC or Jersey City, NJ (onsite).
Responsibilities
- Deep insurance domain expertise - strong understanding of insurance business processes, regulatory requirements, underwriting workflows, claims lifecycle, policy administration, reinsurance operations, and insurance data models.
- Strong Product Ownership capabilities including backlog management, user story writing, sprint planning, acceptance criteria definition, release planning, and roadmap prioritization.
- Ability to define and communicate product vision, business value, and feature priorities aligned with AIG's Agentic AI Platform strategic objectives.
- Experience with AI, GenAI, Agentic AI, LLM, or intelligent automation platforms - understanding of AI capabilities, limitations, and applicability within insurance use cases.
- Strong analytical, problem-solving, and critical thinking skills - ability to translate complex insurance business problems into clear, actionable AI platform requirements.
- Experience working with enterprise data models, APIs, cloud platforms (AWS, Azure, GCP), and modern insurance technology ecosystems.
- Strong collaboration, stakeholder management, facilitation, and communication skills across business, technology, and executive leadership audiences.
- Familiarity with insurance regulatory compliance, data privacy, audit, and risk management requirements.
- Serve as the Product Owner for one or more workstreams within the AIG Enterprise AI Agentic Platform, representing business needs and ensuring delivery of high-value platform capabilities aligned with insurance operations.
- Own, prioritize, and maintain the product backlog - defining epics, user stories, acceptance criteria, and feature specifications that reflect deep insurance domain knowledge and Agentic AI platform requirements.
- Translate AIG's insurance business requirements - spanning underwriting, claims, policy administration, reinsurance, and actuarial functions - into clear, actionable platform features and AI agent use cases.
- Partner closely with Enterprise Architects, Solution Architects, AI/ML Leads, Engineering Teams, and Business SMEs to ensure technical solutions align with insurance business