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TD Bank
AVP, Infrastructure & Engineering, Technology Data ManagementTD Bank • Toronto, Ontario, Canada
AVP, Infrastructure & Engineering, Technology Data Management

AVP, Infrastructure & Engineering, Technology Data Management

TD Bank • Toronto, Ontario, Canada
19 days ago
Salary
CA$175,000.00 yearly
Job type
  • Full-time
Job description

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$175000 - $215000 CAD

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 candidates 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 AVP Technology Data Management is responsible for establishing and leading the enterprise capability for managing governing and operationalizing technology reference data across infrastructure cyber cloud AI and enterprise technology domains. The role will build and operate a Databricks-based data fabric that transforms fragmented technology data from multiple systems of record into a trusted authoritative and consumable enterprise asset.

This leader will define and implement data governance taxonomies common data models metadata standards and data products that enable enterprise-wide reporting analytics risk management FinOps operational management and executive decision-making. The role serves as the central authority for technology reference data ensuring data is accurate governed discoverable and accessible through modern consumption channels including APIs Power BI and enterprise reporting platforms.

Key Accountabilities

Enterprise Technology Data Strategy

  • Define and lead the enterprise strategy operating model and roadmap for technology reference data.
  • Establish a scalable technology data fabric leveraging Databricks as the enterprise platform for technology data integration and consumption.
  • Create a long-term vision for trusted technology data that supports enterprise governance reporting analytics operational management and risk oversight.
  • Drive enterprise adoption of common data standards governance practices and technology data products.

Data Governance & Quality Management

  • Establish governance frameworks to ensure technology data is accurate complete authoritative compliant and fit for purpose.
  • Define data ownership stewardship accountability and quality controls across technology domains.
  • Implement controls monitoring and remediation processes to improve ongoing data quality.
  • Ensure data management practices align with regulatory audit risk security and compliance requirements.

Metadata Data Dictionary & Data Marketplace

  • Own the enterprise technology data dictionary and business glossary.
  • Establish and maintain metadata standards data lineage and data cataloguing capabilities.
  • Create a technology data marketplace that enables stakeholders to discover understand and consume enterprise data assets.
  • Drive consistent interpretation of technology data across the organization.

Common Taxonomy & Data Modeling

  • Define and maintain a common technology taxonomy spanning infrastructure cyber cloud AI applications services products assets risks and capabilities.
  • Establish canonical data models and enterprise data relationships across technology domains.
  • Ensure technology data is standardized across systems and reporting platforms.
  • Drive consistency in definitions classifications hierarchies and business rules.

Data Products & Information Services

  • Define and govern enterprise technology data products aligned to business and operational use cases.
  • Translate complex technical data into business-consumable products that support decision-making.
  • Establish standards for reusable data assets semantic layers APIs and reporting services.
  • Prioritize data products based on business value risk reduction and strategic objectives.

Data Engineering & Platform Enablement

  • Lead onboarding of technology systems of record into Databricks through APIs event-based integrations streaming capabilities and zero-copy architectures.
  • Establish enterprise standards for data integration ingestion transformation and observability.
  • Ensure scalable resilient and secure data pipelines that support enterprise consumption.
  • Partner with engineering teams to optimize platform performance and data delivery capabilities.

Reporting Analytics & Metrics

  • Establish enterprise reporting and analytics capabilities for technology management and governance.
  • Define KPI frameworks measurement standards and reporting methodologies.
  • Deliver trusted dashboards scorecards and executive reporting through Power BI and enterprise reporting platforms.
  • Support stakeholders in measuring operational performance technology health risk exposure and strategic outcomes.

User Experience Report Design & Adoption

  • Ensure dashboards and data products are intuitive actionable and aligned to stakeholder needs.
  • Drive persona-based reporting strategies for executives risk teams infrastructure teams cyber teams engineers and technology leaders.
  • Establish enterprise visualization and reporting standards.
  • Measure dashboard adoption effectiveness and business value realization.

Stakeholder Management & Leadership

  • Build strong partnerships across Infrastructure Cybersecurity Enterprise Architecture Finance Risk Data Audit and Engineering teams.
  • Influence senior executives and stakeholders on enterprise data priorities and standards.
  • Lead cross-functional initiatives that require coordination across business and technology domains.
  • Champion a culture of data-driven decision-making and accountability.

Employee / Team

  • Build and lead a high-performing team across data governance architecture engineering analytics and user experience disciplines.
  • Establish clear objectives accountabilities and performance measures for the team.
  • Develop talent and succession plans to ensure sustainability of the capability.
  • Foster a culture of innovation collaboration accountability and continuous improvement.
  • Manage resource allocation prioritization and delivery across multiple strategic initiatives.
  • Ensure compliance with enterprise policies standards controls and regulatory requirements.

Education & Experience

Education

  • Bachelors Degree in Computer Science Engineering Information Technology Data Management Information Systems or a related discipline.
  • Masters Degree preferred (MBA Data Science Information Management or Enterprise Architecture).
  • Industry certifications such as Databricks TOGAF DAMA CDMP ITIL Cloud Provider Certifications (Azure AWS GCP) are preferred.

Experience

  • 12 years of progressive experience in enterprise data management data architecture analytics data governance or technology strategy.
  • 7 years in a senior leadership role managing large-scale data technology or transformation programs.
  • Proven experience building enterprise data lakes data fabrics or data platforms using Databricks or equivalent technology.
  • Deep expertise in data governance metadata management taxonomy development and common data model design.
  • Experience delivering enterprise reporting and analytics solutions using Power BI or similar platforms.
  • Experience integrating complex technology data from multiple systems of record using APIs event-driven architectures and modern data integration patterns.
  • Strong understanding of infrastructure cybersecurity cloud AI and enterprise technology environments.
  • Experience operating in highly regulated industries and supporting audit regulatory and risk management requirements.
  • Demonstrated success influencing senior executives and leading cross-functional transformation initiatives.

Who We Are:

TD is one of the worlds 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 95000 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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 youre 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.

Were 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 youve got everything you need to succeed in your new role.

Interview Process
Well 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 youd 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

Required Experience:

IC


Employment Type : Full-Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 175000 - 215000
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AVP, Infrastructure & Engineering, Technology Data Management • Toronto, Ontario, Canada

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