Lead AI Product Owner

We need to output HTML fragment with sections: headings using

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the posting. Key info: - Alternate Locations: Radnor, PA; Greensboro, NC - Work Arrangement: Hybrid: Employee will work 3 days a week in a Lincoln office - Relocation assistance: not available - Requisition #: 76401 (should be folded into short p or dropped) - The Role at a Glance: description (we can treat as About the role) - What You'll Be Doing: sections with bullet points (list) - What We’re Looking For: Must-haves and Nice-to-haves (list) - Application Deadline: September 30, 2026 (maybe include in a short p) - What’s it like to work here? (maybe About the company? but we have About The Company later) - What’s in it for you: list of benefits (career tracks, leadership dev, PTO, 401K, counseling, tuition assistance, work arrangements, productivity tools) - Pay range: $106,875 - $171,000 with anticipated pay for new hires between min and midpoint etc. - About The Company: description. We need to avoid boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. So remove sections like "Application Deadline" maybe keep as short p? It's not boilerplate but it's a detail. The instruction: "Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

or drop it." So we can include a short p for location, work arrangement, relocation, requisition, deadline. We need to decide sections: - About the role: could combine "The Role at a Glance" and maybe "What You'll Be Doing"? Actually "What You'll Be Doing" is responsibilities. So we can have:

About the role

... from The Role at a Glance paragraph.

Responsibilities

list of duties from "What You'll Be Doing" (multiple bullet groups). We need to preserve all substantive info; we can combine bullet points into a single
with
• each duty. - Requirements / Qualifications / Skills: The posting has "What We’re Looking For" with Must-haves and Nice-to-haves. Could split into Requirements (must-haves) and Skills (nice-to-haves) or Qualifications. We need to decide. We have sections: Requirements, Qualifications, Skills. We can put Must-haves under Requirements (or Qualifications). Nice-to-haves under Skills. We need to avoid filler like "commensurate with experience". Not present. Pay: we have pay range. So include

  Pay

  .... Schedule: we have work arrangement hybrid 3 days a week in Lincoln office. So include

  Schedule

  Hybrid: Employee will work 3 days a week in a Lincoln office.

  Benefits: we have "What’s it like to work here?" and "What’s in it for you:" which includes benefits. Could combine into Benefits section. We'll list benefits as
  . We also have About The Company: could be separate section maybe not required but we could include as About the company? Not in allowed headings list but we could treat as About the role? Already used. Could add a

  About the company

  but not in allowed list; but instruction says use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not exclusive list, but we should prefer those. Probably better to stick to those headings. So we may omit About the company or incorporate into About the role? But we already used About the role for role description. Could add a short paragraph about company under About the role? Might be okay. But we need to preserve ALL substantive information; we cannot drop company description. So we need to include it somewhere. Could add a

  About the company

  even if not in list; but instruction says use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). The "e.g." suggests those are examples, not exhaustive. So we can add other headings as needed, but better to follow examples. However we need to preserve company info; we could put it under About the role as a second paragraph. That might be acceptable. Let's structure:

  Alternate Locations: Radnor, PA; Greensboro, NC. Work Arrangement: Hybrid: Employee will work 3 days a week in a Lincoln office. Relocation assistance is not available for this opportunity. Requisition #: 76401. Application deadline: September 30, 2026.

  Then

  About the role

  The Role at a Glance paragraph.

  Then

  Responsibilities

  list each duty. Then

  Requirements

  Must-haves. Then

  Skills

  Nice-to-haves. Then

  Benefits

  list from "What’s it like to work here?" and "What’s in it for you:". Then

  Pay

  Pay range details. Then

  Schedule

  Hybrid info. We need to ensure we don't repeat job title as heading (we aren't). No markdown. Now extract details. The Role at a Glance paragraph: "Lincoln Financial Group is seeking a detail-oriented and delivery-focused Product Owner to join our AI Product & Delivery organization. In this role, leading innovation squads, you will own the day-to-day execution of AI product features and capabilities within an assigned product domain, working hands-on with data science, engineering, and business domain teams to bring AI solutions from backlog to production. Reporting to the VP/AVP of AI Products, you will serve as the connective tissue between business process reimagination and technical delivery — writing clear user stories, managing sprint-level priorities, supporting model evaluations, and ensuring AI features meet quality, compliance, and user experience standards. This role is ideal for a practitioner who thrives in the details and is eager to grow their AI product career in a regulated financial services environment." We'll put that as

  . Responsibilities bullet points from "What You'll Be Doing". Let's list them: - Own and maintain the product backlog for assigned AI features or squads, ensuring stories are well-defined, prioritized, and ready for sprint execution. - Write detailed user stories, acceptance criteria, and feature specifications for AI-driven capabilities in collaboration with engineering and data science teams. - Lead actively in agile ceremonies — sprint planning, standups, reviews, and retrospectives — keeping delivery on track and surfacing blockers early. - Coordinate UAT, QA, and launch readiness activities for AI feature releases, ensuring quality and compliance standards are met before go-live. - Support the AVP in managing timelines, dependencies, and risks across feature workstreams. - Serve as the day-to-day product contact for business SMEs, engineering squads, and UX designers within assigned AI feature areas. - Communicate feature status, trade-offs, and delivery risks clearly to the AVP and relevant business partners. - Facilitate working sessions and backlog refinement meetings to drive team alignment and shared understanding of requirements. - Support change management by helping business partners understand, test, and adopt new AI-driven capabilities. - Apply responsible AI principles — fairness, transparency, explainability, and privacy — in the definition and acceptance of AI features. - Escalate potential compliance, bias, or safety concerns identified during model evaluation or feature review to the AVP and relevant risk partners. - Ensure AI feature documentation, testing evidence, and release artifacts meet Lincoln's internal governance and audit standards. - Collaborate with Trust & Safety, Legal, and Compliance teams as needed to support feature-level risk reviews. - Define and track feature-level success metrics including adoption, task completion, model accuracy, and user satisfaction. - Analyze usage data, model performance logs, and user feedback to identify improvement opportunities and inform backlog prioritization. - Contribute to sprint-level reporting and help maintain product dashboards that surface key delivery and quality metrics. - Share learnings from evals, user testing, and post-launch monitoring with the broader AI Product & Delivery team. - Partner with data scientists and ML engineers to understand model capabilities, limitations, and evaluation results for assigned AI features. - Assist in designing and executing evaluations (evals) for LLM-powered features — assessing output quality, accuracy, relevance, and safety against defined benchmarks. - Review and annotate model outputs as part of human-in-the-loop feedback processes, identifying failure modes, edge cases, and opportunities for improvement. - Support the creation of eval datasets, test case libraries, and regression frameworks to enable consistent model performance tracking. - Assist in prompt testing and iteration — running structured experiments to understand how prompt changes affect model behavior and output quality. - Help monitor model performance post-launch and flag regressions or unexpected behavior to the data science team. That's many; we need to keep them all. Now Requirements (Must-haves): - 3–10 years of experience in product management, product ownership, or a closely related role. - Hands-on experience working on AI, ML, or data-driven products — including direct collaboration with data science or engineering teams. - Familiarity with LLM concepts such as prompt engineering, model evaluation, and output quality assessment. - Experience with agile methodologies and backlog management tools (e.g., Jira, Linear, Productboard). - Strong written communication skills — able to write clear, unambiguous user stories, PRDs, and feature specifications. - Bachelor's degree in Computer Science, Data Science, Business, or a related field. Nice-to-haves (Skills): - Hands-on experience with LLM APIs or enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Anthropic Claude, Google Vertex AI). - Exposure to ML evaluation frameworks, annotation workflows, or AI observability tools (e.g., LangSmith, Weights & Biases). - Familiarity with responsible AI practices including bias detection, fairness evaluation, and model explainability. - Domain experience in life insurance, annuities, retirement planning, or employee benefits. - Product or AI-related certifications (Pragmatic, AIPMM, data science, or ML-related). Benefits: from "What’s it like to work here?" and "What’s in it for you:". What’s it like to work here? paragraph: "At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future." What’s in it for you: list: - Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes - Leadership development and virtual training opportunities - PTO/parental leave - Competitive 401K and employee benefits - Free financial counseling, health coaching and employee assistance program - Tuition assistance program - Work arrangements that work for you - Effective productivity/technology tools and training We can combine both paragraphs into Benefits

  items. Pay: paragraph: "The pay range for this position is $106,875 - $171,000 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by