Product Owner III
Product
Boston, MA, USA
USD 120k-225k / year
Product Owner III
- ID
- 2026-76417
- Position Type
- Full-Time
- Job Grade
- 18
- Department
- 0001-06697 Agency Distribution Solutions
- Market
- US Retail Markets
- Minimum Salary
- USD $120,000.00/Yr.
- Maximum Salary
- USD $225,000.00/Yr.
- Typical Starting Salary
- $142,800 - $177,000
- Recruiter
- Reagan Olson
- Internal Application Deadline
- 06/22/2026
- Referral Bonus Eligible?
- No
Description
Product Owner III – Agency Distribution Solutions (Comparion & LMIA)
As a Product Owner III within Agency Distribution Solutions (ADS), you will lead the strategy and execution of high-impact products supporting Comparion Insurance Agency and LMIA. This role will also play a critical leadership role in advancing our data transformation—shaping how whole, clean, and connected data powers next-generation agent experiences.
You will operate at the intersection of business, technology, and data to deliver AI-enabled capabilities that simplify quoting, improve agent productivity, and drive revenue growth.
Ideal Candidate Profile:
- Strong experience as a Product Owner or Product Manager in complex, enterprise environments
- Proven ability to lead cross-functional teams and deliver customer-facing digital products
- Experience with distribution, quoting platforms, or agency/insurance ecosystems preferred
- Demonstrated ability to translate strategy into execution and measurable outcomes
- Comfortable operating in ambiguity and influencing at senior leadership levels
- Strong data mindset with interest or experience in AI-enabled product capabilities
Key Responsibilities
Own Product & Data Strategy
- Define and drive product vision aligned to ADS, Comparion, LMIA, and enterprise data transformation goals
- Shape how data capabilities (quality, integration, accessibility) enable AI-powered quoting and agent workflows
Lead Data-Driven Transformation
- Champion initiatives to deliver whole, clean, and connected data across quoting and sales platforms
- Partner with data engineering, analytics, and architecture teams to modernize data foundations
- Ensure data is treated as a core product asset, enabling intelligent automation and insights
Drive AI-Enabled Experiences
- Deliver capabilities that embed AI into agent workflows (prefill, recommendations, decisioning)
- Translate data and AI opportunities into tangible product features and business outcomes
Execute with Discipline
- Own backlog, prioritization, and delivery with engineering teams
- Balance speed, quality, and risk to deliver measurable impact
Influence & Align
- Partner across ADS, Comparion, LMIA, and enterprise stakeholders
- Drive alignment on product direction, data strategy, and investment priorities
- Communicate clearly with senior leaders on progress, risks, and outcomes
Own Outcomes
- Deliver improvements in quote speed, agent ease, data quality, and revenue per customer
- Track adoption and continuously optimize product performance
What Success Looks Like
- Connected data that is Whole, Clean, and Complete, regardless of where it is sourced
- Measurable improvements in agent efficiency and quote conversion
- Scalable data foundation enabling future innovation (e.g., comp rater of the future)
- Clear alignment between product roadmap and enterprise data strategy
Qualifications
- Advanced knowledge of Agile development methodologies as typically acquired through a Bachelors’ degree in relevant field (business, computer science, humanities etc.), 7 years in business, technology, or consulting with 5 to 7 years direct experience with agile teams
- Master's degree preferred
- High level of proven business expertise needed to set clear priorities for product and understand business value impacts
- Develops strong stakeholder relationships and influencing across multiple organizational boundaries
- Demonstrated experience leading varied audiences through the development of complex ideas, issues and designs
- Ability to lead varied audiences through census building
- Proven experience with Agile practices and expectations
- Comfortable with making decisions with some level of uncertainty
- Strong communication skills, both written and verbal
- Knowledge of insurance industry preferred
- Knowledge of relevant products and portfolio strongly preferred
- Strong experimental mindset to drive innovation amongst uncertainty and exploit market opportunities
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