Global Product Owner, Observability

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><p style="text-align:left"><span>Application Deadline:</span></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div>10/30/2026<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><span>Address:</span></p>100 King Street West<p style="text-align:inherit"></p><p style="text-align:inherit"></p><div><div><div><div><div><div><div><p style="text-align:left">Job Family Group:</p></div></div></div></div></div></div></div>Technology<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h2>Role Overview</h2><p>The Global Product Owner, Observability is accountable for defining, owning, and executing the enterprise observability strategy for the bank.

This role owns the enterprise-wide observability roadmap, ensuring consistent, scalable, and cost-effective observability capabilities are delivered across all technology domains.<br /><br />Operating with enterprise influence, this role provides strategic direction and dotted-line leadership to three horizontal capability teams—Enterprise Monitoring Tools, Application Performance Monitoring (APM), and Site Reliability Engineering (SRE)—ensuring their priorities, investments, and execution are aligned to the enterprise roadmap.

<br /><br />The role regularly engages with senior and executive leadership, translating complex technical concepts into clear business outcomes, progress updates, and value realization.</p><h2>Key Accountabilities</h2><h3>Enterprise Strategy & Roadmap Ownership</h3><p>- Define, maintain, and evolve the bank-wide observability vision, strategy, and multi-year roadmap spanning infrastructure, platforms, applications, and digital services.

<br />- Establish enterprise observability standards, patterns, and guardrails to ensure consistency, scalability, and reliability across all technology domains.<br />- Ensure observability capabilities extend to AI-enabled systems, providing visibility into model behavior, performance, and operational health as part of the broader observability strategy.<br />- Align the observability roadmap with cloud strategy, reliability objectives, security requirements, and business priorities.

</p><h3>Cross-Team Leadership & Alignment</h3><p>- Provide dotted-line accountability and strategic direction for Enterprise Monitoring Tools, APM, and SRE teams.<br />- Ensure team roadmaps, backlogs, and delivery plans align with the enterprise observability strategy, including coverage for cloud-native and AI-enabled workloads.<br />- Drive horizontal alignment across engineering, operations, architecture, data, and platform teams in a federated environment.

</p><h3>Execution, Measurement & Reporting</h3><p>- Define enterprise-level KPIs, success metrics, and maturity measures for observability, reliability, and operational resilience.<br />- Ensure observability metrics include appropriate coverage for AI-enabled services, such as model stability, drift indicators, and operational risk signals where applicable.<br />- Monitor and measure progress against the roadmap, including adoption, benefits realization, risk reduction, and cost efficiency.

<br />- Prepare and present clear, outcome-focused updates to executive-level audiences, translating technical signals into business and risk-focused insights.</p><h3>Platform Optimization, Cost & Scale</h3><p>- Optimize observability platform efficiency, performance, and cost across multiple vendors.<br />- Lead simplification and standardization efforts to reduce tooling sprawl and operational complexity.

<br />- Ensure observability platforms and practices are easily scalable up and down to support changing business demand and consumption patterns.</p><h3>Reliability, Automation & NoOps Progression</h3><p>- Advance self-healing and auto-remediation capabilities using actionable telemetry, automation, and policy-driven responses across platforms and services.<br />- Partner with SRE and platform teams to reduce manual operational effort and improve mean time to detect and remediate incidents.

<br />- Leverage observability signals—including those from AI-enabled systems—to support intelligent automation and controlled remediation.<br />- Drive the long-term progression toward NoOps-aligned operating models, where observability, automation, and governance enable safe, scalable, and repeatable operations.</p><h3>Governance, Security & AI Explainability</h3><p>- Ensure observability capabilities support governance, security, and risk management, including traceability, logging, and auditability.

<br />- Establish observability requirements for AI-enabled systems to support explainability, accountability, and model risk management.<br />- Partner with security, risk, data, and architecture teams to ensure compliance with enterprise security, privacy, and regulatory standards.</p><h2>Required Qualifications</h2><p>- Senior-level experience owning enterprise-scale technology platforms or products.

<br />- Deep hands-on experience with Dynatrace, including APM, infrastructure monitoring, and advanced observability use cases.<br />- Strong experience with cloud-native observability tooling in Azure and AWS environments.<br />- Proven track record delivering and governing multi-year roadmaps across large, federated organizations.<br />- Strong executive-level communication skills, with experience presenting to senior leadership forums.

<br />- Demonstrated success in platform rationalization, vendor management, and cost optimization.</p><h2>Preferred Qualifications</h2><p>- Experience in financial services or other highly regulated enterprise environments.<br />- Strong exposure to SRE operating models, reliability engineering, and automation at scale.<br />- Background working within large, matrixed, global technology organizations.

</p><p>Note: This is a hybrid r