Associate Product Owner

Job title: Associate Product Owner

As Associate Product Owner, you will play a key supporting role in the development and delivery of digital insurance solutions that align with strategic business goals and enhance member experience. Working closely with Product Owners and cross-functional teams, you will help translate high-level problem statements into actionable insights, maintain product backlogs, and ensure that system capabilities are fully understood and leveraged. This role is ideal for someone with strong analytical skills, a collaborative mindset, and a passion for continuous learning in the insurance technology space.

Job Responsibilities

• Shadow end users across business units to stay current on operational challenges, workflows, and member needs.
• Create and maintain content for bi-weekly and monthly product updates, ensuring clarity and alignment with strategic goals.
• Lead backlog grooming sessions and assist in prioritizing features and enhancements based on business value and member impact.
• Assist in the development of business cases and presentations that communicate product opportunities, risks, and benefits to stakeholders.
• Update and refine product metrics and requirements based on evolving problem statements and stakeholder feedback.
• Conduct thorough reviews of system capabilities to identify usage patterns, redundancies, and opportunities for optimization.
• Collaborate with Product Owners, developers, analysts, and business stakeholders to ensure alignment and transparency throughout the product lifecycle.
• Support roadmap planning by contributing insights on resource capacity, delivery timelines, and feature feasibility.
• Recommend enhancements and optimizations that improve member experience and operational efficiency.
• Track KPIs and assist in measuring benefits realized from product initiatives.
• Develop a strong understanding of insurance systems and processes to guide informed decision-making and support strategic outcomes.
• Other duties as assigned.

Qualifications

• 2+ years of experience in product support, business analysis, or operations within the insurance or financial services industry.
• Post-secondary education in Business, Technology, or a related field; insurance certifications (e.g., CIP) are an asset.
• Familiarity with Agile/Scrum methodologies and experience using tools like JIRA, Confluence, or similar platforms.
• Strong communication and documentation skills, with the ability to translate complex concepts into clear, actionable updates.
• Analytical mindset with a keen eye for identifying inefficiencies, redundancies, and improvement opportunities.
• Ability to work collaboratively across teams and build strong relationships with stakeholders.
• Experience supporting digital product development, especially in areas like underwriting, claims, or member engagement, is preferred.

Nice to Have:

• Experience in fraud prevention, regulatory compliance, or member retention strategies within insurance.

• Familiarity with omni-channel member experiences and digital transformation initiatives.

• Project management or Agile certifications (e.g., PMP, PMI-ACP).

• Background in data analytics or AI-driven product development.

• Diversity Equity, Inclusion & Belonging

• At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people – this is supported by having a representative workforce.

• We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas.

• We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to [email protected].

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• Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.