Product Group Technology Lead - Information Lifecycle Management

Product Group Technology Lead - Information Lifecycle Management page is loaded## Product Group Technology Lead - Information Lifecycle Management remote type:
Hybrid locations:
310-320 Front Street West Corporate, Toronto, Ontario:
Toronto, Ontario time type:
Full time posted on:
Posted Todayjob requisition :
R 1454274
*
* Work Location:

** Toronto, Ontario, Canada
*
* Hours:

** 37.5
** Line of Business:
** Technology Solutions
** Pay Details:**$149,500 - $183,500 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
*
* Job Description:

** The
** PGTL for Information Lifecycle Management
** is accountable for enabling and scaling enterprise technology capabilities that automate and operationalize
** information lifecycle controls**—from creation and active use through archival, legal holds, and defensible disposition. The role drives the design, development, and delivery of platform services and AI-enabled products that implement retention schedules, classification, event‑based triggers, exception handling, remediation, and end‑to‑end governance. Solutions must align with TD’s Product Group operating model, regulatory expectations, and enterprise DRD standards to achieve measurable risk reduction and business value.
** Accountabilities:**
* ** Product & Platform Ownership:
** Define and own the ILM product vision, roadmap, and value stream (incl. discovery, prioritization, and release planning) to deliver scalable retention, legal hold, archival, and disposition services for structured and unstructured data across cloud and on-prem platforms.
* ** Control Operationalization:
** Embed DRD controls “by design” (classification, retention scheduling, disposition workflows, evidence collection) and “by default” (guardrails, policies, and reference implementations) in target platforms and data products.
* ** Risk & Compliance Alignment:
** Ensure ILM capabilities support regulatory and policy requirements (e.g., data lifecycle, data quality, and records expectations cited in Data Risk Management Policies and Standards) and produce auditable evidence for control effectiveness.
* ** Engineering Leadership:
** Lead cross‑disciplinary teams (platform, data, security, privacy, and records engineering) and establish engineering standards, SLAs/SLOs, and automation-first practices for scale, reliability, and cost efficiency.
* ** Enterprise Integration:
** Integrate ILM with metadata, catalog/lineage, policy, and workflow systems to enable policy-as-code, event‑based retention, exception routing, and automated evidence capture.
* ** Service Adoption & Change:
** Drive adoption through reference architectures, playbooks, onboarding kits, and migration patterns; partner with domains to remediate legacy storage and reduce end‑of‑life data.
* Operates as a
** Product Group Technology Lead**, setting the North Star, translating strategy into a sequenced roadmap, and guiding squads/pods to outcomes.
* Champions
** automation‑first
** delivery, evidence‑by‑design, and sustainable operations (run‑the‑bank) alongside change initiatives.
*
* Key Responsibilities:

**
* ** Design & Build**  + Architect ILM capabilities (classification, retention schedule orchestration, legal/information holds, archival, disposition, and immutable logging) that interoperate with identity, privacy, security, and records functions.  + Implement event‑based retention (e.g., policy triggers from system-of-record events),…