PGTL II - Data Discovery

Work Location: Mount Laurel, New Jersey, United States of America Hours: 40 Pay Details: $ 123,680 - $200,200 USD 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 at TD. Our 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. Line of Business: Technology Solutions Job Description: The Product Group Technology Lead II leads the development of technical solutions at the Product Family level that adhere to enterprise architectural and technology delivery principles. Provides advanced and highly specialized technical leadership and development experience in end to end execution of product team solutions. Partners with business, project management and technology groups across the enterprise to effectively communicate technology decisions and drive business results, ensuring alignment with the organization's Target Operating Model (TOM), technology roadmap and approach, and enterprise architecture/ technologies. Depth & Scope: Leads Technical solutions at the Product Group level Deep expertise and knowledge of specific domain or broad range of experience in technology domains, including understanding of in-house and third-party architecture integration Advanced and highly specialized knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, regulatory and compliance standards, and may fulfill a governance role Expert technical skills and a strong understanding of the team's product; technology and issues Provides leadership and guidance to several teams across the enterprise and solves cross-department issues Participates in the development of business strategies Ensures solutions are consistent with organizational objectives Utilizes subject matter expertise to introduce new technologies, or new versions of existing technologies, into the organization Education & Experience: Undergraduate degree or Technical Certificate Graduate degree preferred 10+ years of development and technology delivery experience with Agile Delivery Experience preferred Preferred Qualifications: 10+ years across data/platform engineering and data management/governance 10+ years building and leading product/platform organizations at enterprise scale. Proven leadership of multiple concurrent Product Groups (or equivalent portfolios), with delivery of discovery, classification/enrichment, and AI/agent capabilities. Strong knowledge of Data Catalogs (Collibra knowledge is a plus) , Data Management Domain, Metadata Management Principles Strong and demonstrated knowledge of Collibra Catalog and Collibra Product suites. Deep architecture expertise across multi-cloud and federated on-prem estates; hands-on familiarity with metadata/catalog/lineage platforms, pipeline orchestration, and observability. Exceptional stakeholder management, communication, and organizational change leadership. Background in financial-services data practices; familiarity with privacy-preserving techniques, synthetic data for test harnesses, and cost/performance optimization of large-scale scanning workloads. Accountabilities: Enterprise Data Catalog & Governance Metadata Delivery (Collibra) – Deliver and evolve the enterprise data catalog capabilities using the Collibra suite, including platform configuration and deployment, metadata ingestion and lineage enablement, workflow and integration development, and the design of persona-centric experiences that support effective data discovery, stewardship, and governance at scale. Architecture & Engineering Excellence - Establish common patterns (data ingestion, connectors, classification/tagging, agent orchestration), guardrails, and SLAs/SLOs; ensure interoperability across platforms and pipelines. Operational Reliability - Define and track service health (availability, latency, freshness, accuracy); institute observability and incident practices; own runbooks for portfolio-level events and communications. Key Responsibilities: Design & Build Standardize connectors, Collibra ingestion and lineage patterns, metadata pipelines, and catalog workflows; scale classification and enrichment; stand up AI/agent services that automate lifecycle and governance tasks. Deliver modular, composable services and catalog extensions reusable across domains and platforms. Evidence & Reporting Produce audit-ready evidence and executive dashboards for catalog coverage, quality, lineage reliability, compliance, and portfolio value. Publish insight packs from catalog and governance telemetry to inform decisions and future investment. Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel – Occasional International Travel – Never Performing sedentary work – Continuous Performing multiple tasks – Continuous Operating standard office equipment - Continuous Responding quickly to sounds – Occasional Sitting – Continuous Standing – Occasional Walking – Occasional Moving safely in confined spaces – Occasional Lifting/Carrying (under 25 lbs.) – Occasional Lifting/Carrying (over 25 lbs.) – Never Squatting – Occasional Bending – Occasional Kneeling – Never Crawling – Never Climbing – Never Reaching overhead – Never Reaching forward – Occasional Pushing – Never Pulling – Never Twisting – Never Concentrating for long