Product Owner - Operations AI & Digital Transformation

Allianz Partners

Responsibilities include, but are not confined to, the following:

• Lead the design, development, and ongoing enhancement of AI-powered automation and decision support solutions within Health Operations, starting with Claims.
• Convert business needs into comprehensive user stories, acceptance criteria, rules, and prioritized backlogs.
• Collaborate closely with internal teams and external vendors to conduct discovery, testing, and deployment activities.
• Ensure digital solutions align with operational goals, seamlessly integrate with existing systems, and can scale regionally.
• Maintain a transparent roadmap for improvements informed by performance data, operational feedback, compliance standards, and user insights.
• Serve as a proactive advocate for AI-driven transformation by clearly showcasing business value and driving adoption.

Process Transformation

Collaborate closely at the outset with Claims leadership, then expand engagement across the broader Operations teams to grasp business goals, confirm opportunities, and synchronize priorities.

Facilitate workshops and design sessions to clearly outline solution scope, rules, and decision-making logic.

Champion operational readiness by overseeing user training, preparing documentation, and managing change effectively.

Support governance processes to guarantee that automation rules and decisions stay compliant, auditable, and rigorously controlled.

Skateholder Engagement

Serve as the main liaison connecting Operations functional teams, Operations Support teams, IT, and vendor delivery teams.

Provide senior stakeholders with clear progress reports, risk assessments, and results via structured updates and dashboards.

Work closely with Data Analytics, Operations Support, and Regional teams to guarantee solutions deliver effective reporting features and comply with all relevant regulations.

AI Governance, Compliance & Risk Management

Ensure all solutions adhere to group standards, global regulatory requirements, and evolving obligations.

Identify potential compliance gaps in the use of AI tools and policies, implementing corrective measures as necessary.

Collaborate closely with Compliance, Legal, and Risk teams to guarantee thorough documentation, transparency, and ongoing monitoring.

Performance & Continuous Improvement

Define and monitor key performance indicators (KPIs) such as reducing cycle time, eliminating manual touchpoints, and improving accuracy. Continuously track platform performance and user adoption to foster ongoing improvements and refinements. Support the creation of best practices and reusable frameworks to guide future automation projects within Operations.