Vice President (Non-Competitive), Business Data Architect

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

TD Securities

Pay Details:

$120,000 - $160,000 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

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:

The primary goal of this role is to define, own, and evolve the business data architecture that enables business strategy, decision making, and operational execution. This role ensures that data platforms, data products, and analytical capabilities are intentionally designed, governed, and aligned to measurable business outcomes.

This role serves as the architectural bridge between business strategy and technical execution, translating business objectives into target state data architectures, domain models, and data products that can be reliably implemented by engineering teams.

This role has three primary areas of responsibility:
•    Translating business strategy into target state data architecture and data products
•    Defining and governing data models, domains, and architectural standards
•    Enabling trusted analytics, regulatory alignment, and future state capabilities (e.g., Data as a Product, AI/ML)

The ideal candidate is a senior data architect with deep experience designing enterprise scale data ecosystems and the credibility to influence both business and technology leaders. You will collaborate closely with business owners, product owners, data engineering, analytics, and technology architecture to ensure data solutions are scalable, governed, and aligned to long term strategic priorities.

Job Description

Translate business strategy into data architecture

• Partner with business leaders, business architects, and process architects to understand strategic goals, KPIs, regulatory requirements, and operational challenges, translating them into data domains, architectural patterns, and target‑state designs
• Define data use cases and data products that directly support decision‑making, client experience, risk management, and operational efficiency
• Map business capabilities and value streams to data sources, critical data elements, metrics, and consumption layers
• Act as a trusted advisor to help prioritize data investments based on architectural fit, reuse, and long‑term value

Define and govern data architecture

• Own and evolve target‑state data architecture across platforms (e.g., data lakes, warehouses, streaming, analytic zones)
• Define and maintain enterprise and domain‑level data models, including canonical models and semantic layers
• Establish architectural standards for data ingestion, transformation, modeling, and data product design
• Partner with enterprise architecture, cloud, and security teams to ensure alignment with broader technology and risk strategies
• Guide data engineering teams by providing clear architectural intent, patterns, and design guardrails, rather than hands‑on build ownership

Enable trusted analytics and business outcomes

• Ensure data assets are trusted, discoverable, well‑documented, and fit for purpose across analytics, reporting, and downstream applications
• Define architectural approaches for KPIs, metrics, and semantic consistency across lines of business
• Enable advanced analytics, automation, and AI/ML use cases by ensuring architectural readiness and high‑quality foundational data
• Measure and communicate the value of data architecture through adoption, reuse, risk reduction, and business impact

Data governance, risk, and architectural stewardship

• Define and uphold data governance architecture, including data ownership, quality standards, lineage, metadata, and access controls
• Partner with Risk, Compliance, and Legal teams to ensure architectures meet regulatory and client data obligations
• Assess architectural impacts of new data initiatives, platform changes, and bespoke client solutions
• Establish reusable architectural patterns, reference architectures, and best practices across the data ecosystem
• 10+ years of experience in data architecture, data engineering, analytics engineering, or related roles, with a strong architectural focus
• Proven ability to translate complex business strategy into enterprise‑scale data architectures and data models
• Deep understanding of modern data platforms, including cloud data ecosystems, analytical zones, and data product architectures
• Strong experience with data modeling, semantic layers, metadata management, and data governance
• Experience supporting enterprise data transformations, regulatory initiatives, or strategic data investment planning
• Ability to operate in ambiguity, define structure, and influence without direct authority
• Strong communication and storytelling skills, with the ability to explain architectural decisions to executive and non‑technical audiences
• Financial services experience preferred, particularly in payments, commercial banking, or transaction banking

Job Qualifications

• 10+ years of experience in data architecture, data engineering, analytics engineering, or related roles, with a strong architectural focus
• Proven ability to translate complex business strategy into enterprise‑scale data architectures and data models
• Deep understanding of modern data platforms, including cloud data ecosystems, analytical zones, and data product architectures
• Strong experience with data modeling, semantic layers, metadata management, and data governance
• Experience supporting enterprise data transformations, regulatory initiatives, or strategic data investment planning
• Ability to operate in ambiguity, define structure, and influence without direct authority
• Strong communication and storytelling skills, with the ability to explain architectural decisions to executive and non‑technical audiences
• Financial services experience preferred, particularly in payments, commercial banking, or transaction banking

Who We Are:

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we strive to make every interaction, product and experience remarkably human and refreshingly simple.  Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank. 

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