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Added 7 mins ago
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Scotiabank

Senior Manager, Data Strategy and Operations

Toronto, ON, M5H 1H1, Canada

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Job details

Apply by: Nov 19, 2026
Experience: 7+ years of experience in data strategy, data product management, product ownership, data governance, or analytics operations.
Posting language: English
Posted: Nov 4, 2026

Original job description

Requisition ID: 276561

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

The Canadian Banking Analytics, Personalization & Innovation team is seeking a delivery-focused data leader to serve as Senior Manager, Data Strategy and Operations. Reporting to the Director, Data Strategy Enablement and Operations, you will execute the Canadian Banking data strategy through a practical operating model, ensuring data products are trusted, accessible, adopted, and tied to measurable business outcomes. You will connect business priorities with CID&A and Technology delivery to accelerate time to insight, improve operational performance, and enable data-driven growth across Canadian Banking.

Is this role right for you? In this role you will:

Execute the Data Strategy

Translate the multi-year Canadian Banking data roadmap into quarterly delivery plans aligned to priorities such as client primacy, return on equity, deposit growth, and servicing excellence.
Lead demand intake, identify high-value data and analytics use cases, and manage value-based prioritization.
Develop investment inputs and track adoption, value realization, P&L impact, and ROI for data initiatives.
Represent Canadian Banking requirements in enterprise data strategy, platform modernization, and transformation initiatives, ensuring business readiness, continuity, and adoption.

Drive Delivery, Operations, and Governance

Coordinate the end-to-end data product lifecycle across business, CID&A, and Technology, translating business needs into clear requirements, user stories, and delivery outcomes.
Manage the data product backlog, dependencies, risks, operational performance, and readiness, escalating early to protect delivery and service continuity.
Reduce manual reporting through automation, standardization, and reuse of trusted data assets, dashboards, and reporting infrastructure.
Operationalize enterprise data governance within Canadian Banking by strengthening ownership, stewardship, quality, lineage, auditability, access, and reporting transparency.
Support compliance with internal and external data control standards and coordinate data-related matters with Risk, Compliance, and Audit.

Data Enablement and Adoption

Build data literacy and scale self-service analytics through business-focused tools, training, documentation, and best practices.
Lead business readiness and adoption as analytics and business users migrate to new data platforms and enterprise data assets.
Enable responsible AI and ML initiatives aligned to Canadian Banking priorities by identifying high-value use cases and delivering trusted, governed, secure, and fit-for-purpose data products with appropriate privacy, bias, explainability, and monitoring controls.
Provide executive-ready insights on delivery, adoption, value, risks, and decisions, and promote a culture of innovation, user-centricity, and continuous improvement.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

7+ years of experience in data strategy, data product management, product ownership, data governance, or analytics operations.
Financial services experience, with a strong preference for Canadian Banking.
A proven track record of managing data product roadmaps, backlogs, and complex programs across large, matrixed organizations.
Strong knowledge of data governance, quality, lineage, privacy, and controls in a regulated environment.
Working knowledge of modern data ecosystems, cloud platforms, and BI tools (e.g., Databricks, Azure, Google Cloud Platform, BigQuery, and Power BI).
Strong ability to translate business priorities into actionable requirements and measurable data-product outcomes.
Exceptional executive communication, stakeholder management, and influencing skills.
Experience leading change, adoption, training, and enablement for new data platforms, products, or tools.
Experience leading high-performing teams with strong ownership, collaboration, and a bias for action.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank.
We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, Humans of Digital and much more!

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

The Senior Manager will execute the Canadian Banking data strategy by managing the end-to-end data product lifecycle and aligning delivery with business priorities. They will also drive data governance, operational performance, and the adoption of self-service analytics across the organization.

Requirements

Candidates must have at least 7 years of experience in data strategy, product management, or analytics operations within a regulated environment. Strong proficiency in modern data ecosystems, cloud platforms, and executive-level stakeholder management is required.

Skills

Data strategy
Data product management
Data governance
Analytics operations
Financial services
Product ownership
Stakeholder management
Executive communication
Databricks
Azure
Google Cloud Platform
BigQuery
Power BI
Change management
Data literacy
Regulatory compliance

Benefits

Bonus
Flexible vacation
Personal days
Sick days
Tuition assistance
Employee resource groups
Professional development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Strategy
Data Operations
Data Governance
Data Product Management
Financial Services
Canadian Banking
Databricks
Azure
Google Cloud Platform
BigQuery
Power BI
Data Literacy
Business Intelligence
Cloud Platforms
Regulatory Compliance
Data Lineage
Data Quality
Risk Management
Auditability
Artificial Intelligence
Machine Learning
Stakeholder Management
Change Management
Product Roadmap
Backlog Management
Data Enablement
Self-service Analytics
Operational Performance
Value Realization
ROI

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