Associate Vice President, Enterprise Data & Analytics Platform Capabilities, Enablement & Support

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Data & Analytics

Pay Details:
$160,000 - $200,000 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:

Department Overview:

At TD, data is more than a strategic asset. It is the foundation that powers every customer interaction, business decision, risk assessment, and innovation opportunity across the Bank.

TD Data is responsible for building and operating one of the largest and most sophisticated enterprise data ecosystems in North America. Our mandate is to deliver fast, trusted, accessible, and cost-efficient data that enables business growth, strengthens regulatory compliance, enhances customer experiences, and accelerates AI-driven transformation across TD.

• Leading large-scale enterprise transformation initiatives.

• Influencing executive and Board-level strategy discussions.

• Driving the adoption of data, analytics, and AI across the Bank.

• Working at the intersection of business strategy, technology innovation, and operational excellence.

• Building capabilities that will define the next generation of banking.

• Creating measurable business value through trusted data.

• Define and execute the long-term strategic vision for the enterprise data and analytics platform, ensuring alignment with organizational objectives and market trends

• Champion data-driven culture and transformation initiatives across the enterprise, serving as an evangelist for analytics-led decision making

• Identify and capitalize on emerging technologies, methodologies, and market opportunities to maintain competitive advantage

• Establish the Rahona platform's strategic roadmap, balancing innovation with operational stability and business value realization

• Own the enterprise product, business architecture and roadmap strategy for the Rahona data & analytics platform capabilities (e.g., onboarding paths, learning journeys, reference architectures, patterns, playbooks).

• Establish standards for "how to use the platform" (golden paths), reducing time-to-first-value for product teams and analytics users.

• Build and run a capability adoption model including community-of-practice, centers of excellence, office hours, and onboarding "concierge" support.

• Develop multi-year strategic plans for the data and analytics platform aligned with enterprise objectives

• Conduct market research and competitive analysis to inform platform strategy and innovation priorities

• Define success metrics and key performance indicators (KPIs) to measure platform impact and business value

• Accountable for the business operations and support operating model across intakes, requests, including triage, escalation, and problem management.

• Reduce recurring incidents through root-cause, automation, and reliability improvements in partnership with engineering and production support services

• Establish SLAs/SLOs and service KPIs for platform capabilities; implement disciplined incident, change, and release practices.

• Ensure platform stability, resilience, and compliance with enterprise controls and policies.

• Lead business planning, budgeting, and resource allocation for the platform, optimizing investment across people, technology, and initiatives

• Drive operational efficiency through process optimization, automation, and best practice implementation

• Serve as the executive owner of the Rahona enterprise data and analytics platform, with end-to-end accountability for its success

• Define and prioritize platform capabilities, features, and services based on business needs, technical feasibility, and strategic value

• Oversee the development and enhancement of platform products and services, ensuring they meet enterprise standards for quality, security, and usability

• Establish platform governance frameworks including data quality, security, privacy, and compliance standards

• Partner with platform product/engineering to shape roadmap based on adoption friction, support demand, value, business priorities and consumer feedback.

• Own "voice of customer" mechanisms (feedback loops, NPS-like signals, friction logs) to drive measurable improvements.

• Mature self-service, automation, and observability to improve stability and reduce operational load.

• Focus on automation and agentic capabilities to reduce costs, improve efficiency and enable new services and capabilities for the platform in partnership with Engineering and operations.

• Drive the evolution of platform architecture to support advanced analytics, AI/ML, and emerging use cases

• Establish and maintain a product catalog of platform services with clear service definitions and consumption models

• Act as the voice of the end user, ensuring platform capabilities are designed with user experience, accessibility, and adoption as core principles

• Develop and execute comprehensive change management and user enablement strategies to drive platform adoption and maximize business impact

• Establish feedback mechanisms and continuous engagement with business stakeholders to understand evolving needs and pain points

• Build self-service capabilities and enablement programs that empower business users to independently leverage data and analytics

• Manage platform P&L, budget development, and financial forecasting with accountability for cost optimization

• Develop business cases and ROI analyses for platform investments and initiatives

• Implement chargeback or show back models to promote responsible platform consumption

• Monitor and report on platform financial performance, utilization, and business value delivery

• Partner with TD Data FinOps (or lead the component relevant to capability enablement) to improve transparency and cost efficiency for platform usage, aligning with enterprise objectives for optimization.

• Ensure support and enablement processes align to governance and controls; coordinate with risk, privacy, and security stakeholders.

• Maintain documentation and evidence for operational controls, resilience, access processes, and compliance requirements.

• Ensure compliance with regulatory requirements, industry standards, and corporate policies related to data management

• Lead risk assessment and mitigation strategies for platform operations, security, and business continuity

• Partner with legal, security, and compliance teams to address data privacy, protection, and ethical use concerns

• Adoption outcomes and time-to-value

• Operational stability and incident reduction

• Compliance and control adherence

• Roadmap alignment and release readiness

• Standards, patterns, and reference implementations

• Adoption & Enablement: time-to-onboard, active user/producer counts, enablement completion rates, usage growth of target capabilities

• Service Health: availability, latency/throughput SLO attainment, MTTR, incident volumes, repeat incident rate

• Support Efficiency: ticket volume trends, deflection rate via self-service, first-contact resolution, backlog aging

• Quality & Compliance: audit findings, control exceptions, access SLA adherence

• Cost & Efficiency: unit costs, cost-to-serve trends, optimization savings influenced

• Achievement of strategic roadmap milestones and delivery timelines

• Business value realized through data and analytics initiatives (revenue impact, cost savings, efficiency gains)

• Financial performance against budget and cost optimization targets

• Team engagement, retention, and capability development

• Stakeholder satisfaction and executive sponsor feedback

• Successful navigation of audits, compliance reviews, and governance assessments

• Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field; Master's degree or MBA strongly preferred

• Minimum 12-15 years of progressive experience in data and analytics, with at least 7 years in leadership roles

• Demonstrated executive presence and ability to influence at the senior executive levels

• Proven track record of building and scaling enterprise data and analytics platforms in complex organizations

• Deep expertise in modern data architectures, cloud platforms (Azure, Databricks), and analytics technologies

• Strong business acumen with demonstrated success in P&L management, budget oversight, and financial planning

• Exceptional communication, presentation, and stakeholder management skills

• Experience in highly regulated industries (financial services, healthcare, government) with compliance requirements

• Background in product management, platform engineering, or enterprise architecture

• Expertise in AI/ML, advanced analytics, and emerging data technologies

• Experience leading large-scale digital transformation or platform modernization initiatives

• Professional certifications in data management, cloud platforms, or enterprise architecture

• 10+ years in data/analytics platforms, enterprise technology, or engineering enablement (financial services preferred).

• Demonstrated experience building enablement + support operating models at scale (cloud/data platforms).

• Strong service management/operational excellence background (incident/problem/change, SRE concepts).

• Strong stakeholder leadership across Technology + Business; ability to influence without direct authority.

• Knowledge of governance, data controls, privacy, and security expectations in regulated environments.

• Bachelor's degree in CS/Engineering/Math or equivalent experience; advanced degree desirable.

• Relevant certifications (nice-to-have): ITIL, cloud architecture, SRE/DevOps, FinOps.

• Customer obsession for internal consumers: turns complexity into "golden paths"

• Operational excellence: disciplined, metrics-led, continuous improvement

• Strategic influence: aligns platform capability strategy to enterprise priorities

• Collaboration: bridges engineering, governance, and business outcomes

• Resilience: calm, decisive leadership during incidents and escalations

• Talent builder: develops strong leaders and inclusive, high-performing teams