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TD Bank

Senior Business Analyst - Enterprise Data Management Office (EDMO)

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $70K - 110K a year · our estimate

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Description

This is a senior business analysis and delivery leadership role in the Enterprise Data Management Office, covering metadata, data governance, data quality, lineage, cataloguing and wider data management capabilities.

You will work with product, business, engineering, architecture, governance, risk, control and platform groups to turn strategic goals into defined outcomes, requirements, delivery plans and measurable value.

You will work largely on your own judgment, run the JIRA delivery board, report to executives, bring a product view to backlog and roadmap choices, and align stakeholders on complex initiatives.

Technical depth is required. You will work with solution teams on data flows, metadata models, APIs, integrations, cloud and data platforms, security, controls and production support, and explain these topics in business terms.

The role reports to an Engineering Manager, a Product Group Technology Lead or an equivalent leader within the office.

The company is a major global bank with more than 95,000 colleagues serving over 27 million households and businesses in Canada, the United States and abroad.

Responsibilities

  • Work with EDMO stakeholders, product owners, data owners, data stewards, engineers, architects, governance and control partners to clarify goals, pain points, scope, priorities and expected results.
  • Keep the JIRA backlog transparent, prioritized and ready for delivery, with epics, stories, tasks, defects, dependencies and acceptance criteria complete and current.
  • Lead backlog refinement, sprint planning, status reviews, demos, retrospectives and cross-team dependency discussions, assigning clear actions and owners.
  • Write executive updates that link delivery progress to product outcomes, flag material risks and decisions, and keep technical detail to a minimum.
  • Define the problem, target users, value, desired outcomes, success measures, minimum viable scope and roadmap options before solution delivery begins.
  • Elicit, analyze, document and validate business, functional, non-functional, data, integration, security, operational and control requirements.
  • Turn needs into epics, features, user stories, acceptance criteria, process flows, data flows, use cases, data mappings, decision logs and traceability artifacts.
  • Work with technical teams to assess the impact of changes on metadata repositories, cataloguing and lineage tools, APIs, databases, pipelines, reporting, access controls and downstream consumers.
  • Run stakeholder forums, resolve ambiguity, manage competing priorities, record decisions, and escalate material risks or trade-offs with clear recommendations.
  • Plan and coordinate system integration, business acceptance, user acceptance and regression testing, implementation readiness and post-production checks.
  • Provide senior analysis for operational intake, incidents, service requests, root-cause reviews, remediation plans and continuous improvement.
  • Find sensible uses of approved AI and automation for requirements analysis, documentation, knowledge retrieval, testing, reporting and data-quality investigation.
  • Build trust across EDMO and partner teams by being transparent, following through on commitments and adapting communication to each audience.
  • Keep clear oversight of scope, risks, assumptions, issues, dependencies, decisions, milestones and benefits, raising serious concerns early.
  • Use delivery metrics and qualitative feedback to inform prioritization, roadmap planning, investment discussions and product improvement.
  • Support business cases, options analysis, vendor assessments, requests for information or proposal, and service-level discussions as needed.
  • Make sure work follows applicable enterprise standards for privacy, compliance, risk, architecture and data governance.
  • Share progress, outcomes, key decisions, delivery risks and emerging issues with team members and leaders.
  • Document reusable practices for JIRA management, business analysis, executive reporting, stakeholder engagement and product delivery.
  • Coach and cross-train business analysts and delivery team members, and share knowledge with them.

Requirements

  • Show how you use specialized business, product, data and systems knowledge to understand EDMO priorities and drive delivery toward measurable value.
  • Have hands-on experience managing JIRA boards, including backlog structure, workflow hygiene, story readiness, sprint tracking, dependency visibility, dashboards and delivery reporting.
  • Have written concise executive updates covering progress, outcomes, milestones, decisions, risks, dependencies and leadership support needed.
  • Bring a strong product mindset, with experience shaping product outcomes, roadmaps, epics, features, user stories, acceptance criteria and prioritization.
  • Have advanced stakeholder management experience across business, product, engineering, architecture, governance, risk, control and vendor teams.
  • Have worked in Agile delivery using Scrum or Kanban, with JIRA and Confluence.
  • Have technical exposure to data platforms and integration patterns, including SQL, APIs, batch and event-driven processing, cloud services, databases, data modelling, metadata, lineage and data quality.
  • Have delivered medium-to-complex technology or data work involving several teams, competing priorities and cross-pod dependencies.
  • Hold an undergraduate degree, a technical certificate, or equivalent practical experience in business analysis, information systems, data management, computer science, engineering or a related field.
  • Have 3-5+ years of relevant experience in business analysis, business systems analysis, product delivery, data management or technology delivery.
  • Have prepared materials and presented updates to senior leaders or executives.
  • Have worked in a product-centric team and are familiar with several product methodologies.
  • Have working experience with Agile methodology and project delivery.
  • Have working knowledge of SQL, relational databases, APIs, cloud platforms, data pipelines, metadata management, data lineage and data-quality controls.
  • Business analysis credentials such as IIBA CBAP or PMI-PBA, and agile or product certifications such as PSPO, CSPO, PSM or CSM, are assets.
  • Have a good grasp of data management capabilities, system components, interfaces, data flows, metadata, business rules, controls and operational processes.
  • Can turn a complex set of work into a clear, actionable backlog and reporting view using advanced JIRA and delivery skills.
  • Can condense detailed delivery information into short status, decision, risk and outcome messages for executives.
  • Can explain complex data and technology topics in plain business language.
  • Work independently with sound judgment, stay transparent, and escalate significant issues at the right time.
  • Influence decisions across teams with different goals, constraints and technical knowledge, without direct authority.
  • Work with leads to resolve complex requirements, process, data, integration and delivery issues.

Conditions

Based in Toronto, Ontario, Canada.

Listed hours value is 5.

Line of business is Technology Solutions.

Base salary range is $81,600 to $115,200 CAD.

Pay offered may vary based on skills, experience, job knowledge, location and business needs, and you can ask the recruiter about compensation.

This job is subject to provincial employment regulation, and each province or territory may have its own requirements.

Fair and equitable treatment is promised to all candidates and colleagues, regardless of background.

Candidates of interest will be contacted to schedule an interview, and outcomes are shared by email or phone.

Benefits

  • Total rewards include base salary, variable compensation, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and recognition programs.
  • Regular career, development and performance conversations with your manager.
  • Access to an online learning platform and several mentoring programs.
  • Training and onboarding sessions to help you get started in the role.

Where you’d work

From the office

About the company

TD Bank

  • Industry: FinTech

Offices in Toronto, Canada, Canada

Also hiring in Montreal, Canada, United States, Belfast, United Kingdom and 7 more places

7 of their 135 open roles are remote

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • SQL
Seniority
Senior
Type
Full-time
Industry
FinTech
Specialty
Data Analyst
Region
Canada
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Senior
Experience
5+ years
Tech stack
  • SQL

Location

Work model
Office
Region
Canada
Offices
  • Toronto, Canada
  • Canada

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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