Senior IT Manager Data Info Management - Cloud Data Solutions

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$115,600 - $163,200 CAD

This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

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.

Job Description:

Department Overview

We build secure, scalable cloud, data, analytics, AI, and integration solutions that help the business make better decisions and deliver stronger customer and colleague outcomes. Our work advances the firm’s Data Mesh and Data Product Strategy by enabling trusted, reusable, domain-aligned data capabilities. You will partner with Business, Technology Delivery Leads, Reporting and AI Platform teams.

As a Technology Lead, you will provide people leadership and hands-on technical direction for initiatives involving Azure Cloud, Databricks, AWS, Amazon Connect, Alteryx, Power BI, APIs, pipelines, connectors, architecture designs, and data models. You will lead a team, shape solutions, strengthen engineering practices, and help advance AI, Data Mesh, and data product capabilities across the organization.

Job Accountabilities – What You'll Do

In this role, you will lead people and delivery across cloud, data, AI-enabled, and integration solutions. You will align stakeholders, shape practical solutions, and deliver reusable, well-governed capabilities that move the organization’s AI and Data Strategy, Data Mesh adoption, and Data Product Strategy forward.

• Lead cloud and data product solution design: Design secure, scalable solutions using Azure Cloud, Databricks, AWS, Amazon Connect, Power BI, APIs, pipelines, connectors, architecture drawings, and data models.
• Advance AI, Data Mesh, and Data Product Strategy: Deliver strategic technology solutions that improve access to trusted domain data, enable responsible AI adoption, and scale reusable data products.
• Guide delivery and engineering practices: Support build activities across pipelines, APIs, integrations, automation, reporting, testing, documentation, monitoring, controls, and production readiness.
• Lead and develop people: Manage, coach, and support technology colleagues through clear expectations, prioritization, career development, and delivery accountability.
• Orchestrate key partnerships: Work closely with Business, Technology Delivery Leads, AI2, TAP, product, architecture, platform, governance, risk, operations, and engineering teams to align priorities and resolve dependencies.
• Support operational excellence: Help troubleshoot complex issues, improve performance, manage risks, and continuously improve cloud, data, AI, API, reporting, and integration capabilities.

Where You'll Work

You’ll be expected to work Primarily onsite at a TD location for meetings, team events and experiences. The hiring manager will provide more information about how this works for their team.

Job Requirements – What You Need to Succeed

• 10+ yrs progressive experience in technology delivery, data engineering, cloud engineering, solution design, or a related technology role.
• Hands-on experience with cloud and data platforms such as Azure Cloud, Databricks, AWS, or comparable technologies.
• Experience building or supporting data pipelines, APIs, integrations, connectors, automation workflows, or analytics/reporting solutions.
• Strong understanding of data modeling, architecture documentation, security, resiliency, data governance, and production support considerations.
• Experience managing or formally leading technology professionals, including coaching, prioritization, performance support, and delivery accountability.
• Experience partnering with Business, Technology Delivery, architecture, platform, AI enablement, transformation, and governance teams to deliver complex outcomes.
• Experience contributing to data strategy, Data Mesh adoption, domain-oriented data ownership, reusable data products, analytics modernization, automation, or AI enablement.

Preferred

• Experience with Amazon Connect, contact centre technology, IVR/contact flow design, or customer engagement platform integrations.
• Experience with Alteryx, Power BI, SQL, Python, Spark, CI/CD, DevOps tooling, or enterprise analytics patterns.
• Experience defining or scaling data products, including metadata, lineage, data quality, service levels, and consumption patterns.
• Experience working in financial services or another regulated environment with strong privacy, security, governance, and compliance expectations.

Technology

• Cloud and platforms: Azure Cloud, AWS, Databricks, Amazon Connect, identity, monitoring, secure configuration, and cost-aware design.
• Data engineering: Spark, SQL, Python, ETL, ingestion, transformation, orchestration, data quality, and performance optimization.
• Integration and APIs: REST APIs, event-driven patterns, batch and real-time data movement, connector design, API security, logging, and error handling.
• Analytics and automation: Power BI, Alteryx, dashboards, workflow automation, semantic layers, reporting datasets, and business-ready data products.
• Data Mesh and data products: Domain-oriented design, data product lifecycle, metadata, lineage, data contracts, quality controls, and self-service consumption.
• AI enablement: AI-assisted development, generative AI awareness, responsible AI, machine learning concepts, intelligent automation, and data foundations for AI use cases.
• Governance and controls: Data security, privacy, access controls, auditability, ownership, resiliency, disaster recovery, and operational risk management.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet