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Added 1 min ago
MM
Manufacturing Engineer II
Modine Manufacturing Company
Calgary, AB
- Full-time
…Manufacturing, Six Sigma, 5S, and other CI methodologies to improve product quality, process reliability, operational efficiency, and overall manufacturing…
Added 16 mins ago
J
QA Test Engineer, Industrial
Jobgether
Canada
- Full-time
We are seeking an experienced QA Test Engineer (SDET) to establish and own automated test coverage for industrial software connectors and data integrations. In this hands-on engineering…
Added 1 hour ago
AI
Systems Verification & Validation Engineer
Aversan Inc.
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- $95,000 to $115,000 CAD / year
- Full-time
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Added 1 hour ago
IG
AI Engineer
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- $50 to $55 CAD / hour
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Added 2 hours ago
S
Machine Learning Engineer
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- Full-time
We are now hiring a Machine Learning Engineer, based in Toronto.
Added 3 hours ago
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Ingénieur Manufacturier Senior - Réparation de composants / Senior Manufacturing Engineer - Componen
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- Full-time
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Software Engineer – Full-Stack (React, TypeScript, Java)
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Architect and own full-stack product features end-to-end - from design and implementation through automated testing and production support - maintaining accountability for quality,…
Added 3 hours ago
I
Manager, Product Manufacturing
Inertia
Toronto, ON
- Full-time
We are looking for an engineer with deep manufacturing process knowledge and strong project and people leadership to lead new product manufacturing at Inertia. You will take products from…
Added 3 hours ago
I
Product Development Engineer / Design Engineer – Mechanical
Inertia
Toronto, ON
- Full-time
We’re looking for a Product Development Engineer with exceptional mechanical product design and engineering skills and experience to join Inertia’s growing team – a talented engineer with…
Added 3 hours ago
I
Product Development / Design Engineer – Mechatronics
Inertia
Toronto, ON
- Full-time
We’re looking for a Mechatronics Engineer or Embedded Systems Engineer with exceptional product design and engineering skills + experience to join Inertia’s growing team; a talented…
Added 3 hours ago
I
Product Development Team Lead
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- Full-time
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Added 4 hours ago
HT
PD Software for Service
Husky Technologies
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…resolving systemic service issues. The team is responsible for all product lines (Machines, Molds, 3rd Party Hot runners, Controllers, and Auxiliaries) and works cohesively with a variety…
Added 4 hours ago
HT
Manufacturing Engineer (Contract)
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- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 6 hours ago
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Senior Full Stack Software Engineer
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Canada
- $200,000 to $275,000 USD / year
- Full-time
Work with a frontend engineer to improve the product interface and accelerate production releases.
Added 8 hours ago
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Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Ottawa, ON
- Full-time
Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications…
Added 8 hours ago
C-
Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Saskatoon, SK
- Full-time
Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications…
Added 8 hours ago
C-
Technical Sales Intern- Mississauga
Captiveaire - Region 114 Western PA
Mississauga, ON
- Volunteer
…December 2026 or May 2027 and has an interest in being a Sales Engineer. The role will be part time in the…
Added 9 hours ago
TC
Senior Data Engineer - Partnership Intelligence
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Vancouver, BC
- Full-time
Two Circles is looking for a Lead Data Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll be a key part of our Partnership Intelligence > Measurement Team…
Added 10 hours ago
Applications Engineer
DarkVision
North Vancouver, BC
DarkVision is seeking a highly organized Applications Engineer to manage the testing and validation of our award-winning industrial imaging technology. This role encompasses benchmarking…
Added 10 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…resolving systemic service issues. The team is responsible for all product lines (Machines, Molds, 3rd Party Hot runners, Controllers, and Auxiliaries) and works cohesively with a variety…
Added 10 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 11 hours ago
VC
Test Engineer - HVAC
VK CONSULTING SERVICES
Canada
- Contract
The Test Engineer works within the Engineering Department, reporting to the Test Supervisor, and tests products manufactured by the Data Center team. The role is responsible for test…
Added 11 hours ago
AS
Quality Engineer
AgileGrid Solutions
Canada
- Full-time
CoolIT Systems, an Ecolab company, is seeking a Quality Engineer to help maintain product quality and customer satisfaction. In this role, you will investigate product failures, develop and…
Added 11 hours ago
AS
Senior Data Engineer
AgileGrid Solutions
Canada
- Full-time
As a Senior Data and AI Engineer, you will lead the delivery and support of data and AI products that address business needs and contribute to measurable outcomes. You will work closely…
Added 13 hours ago
O
Mechanical System Design Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a hands-on Mechanical Engineer to support the design, prototyping, integration, and deployment of intelligent robotic and machine-vision systems.

Scotiabank

Senior Manager, Data Product Manager

Toronto, ON, M5H 1B6, Canada

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Job details

Posting language: English
Posted: Sep 29, 2026

Original job description

Requisition ID: 275115

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

The Role

The Senior Manager – Data Product Manager leads the strategy, lifecycle and value realization of data products and shared data capabilities for International Banking. Reporting to the Director, Data Engineering, the incumbent acts as the senior product authority for the portfolio in scope: defining product vision and outcomes, owning roadmaps and prioritized backlogs, setting measurable success criteria, and aligning business, engineering, architecture, governance, risk and country stakeholders around a common direction. The role translates strategic priorities and customer needs into governed, reusable, domain-aligned data products published on Harbour, the bank's Azure Databricks data platform, following the Harbour target architecture and its producer/consumer model ("engineer once, consume many"). This includes the migration and rationalization of legacy on-premises and Google Cloud Platform workloads onto Harbour. The incumbent also leads a small team of Data Product Managers/Product Owners, establishing product management standards and coaching, developing and directing their work across concurrent initiatives and markets.

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

Define and own the product vision, strategy and outcome-based roadmap for the data products and shared data capabilities in scope (e.g., curated Gold-layer domain data products, analytics-ready datasets and reusable data services), organized by business domain (BIAN-inspired) and aligned with International Banking strategic priorities and the Harbour target architecture.

Own and prioritize the product backlogs for the portfolio in scope, balancing business value, regulatory commitments, technical debt and platform capacity; make clear trade-off decisions and communicate the rationale to stakeholders.

Engage business, Analytics, Risk, Finance, Data Office and country stakeholders to understand data consumer needs, use cases and pain points, and translate them into product requirements, epics, user stories and acceptance criteria.

Define measurable success criteria and KPIs for each data product (adoption, consumer satisfaction, data quality, timeliness/SLA, reuse and cost-to-serve) and track value realization after release.

Partner with Senior Data Engineers, Architecture and the Harbour Platform team (Data & AI Technology) to shape data products that follow approved Harbour patterns. These patterns include standard ingestion (metadata-driven batch through Azure Data Factory into ADLS Gen2 and, where applicable, change data capture), data contracts, medallion layering (Bronze, Silver, Gold) and a clear producer/consumer separation, so data is engineered once and reused across consumers rather than rebuilt for each use case.

Lead product-level planning for the migration and rationalization of legacy workloads (on-premises platforms such as DB2, SQL Server, Hadoop and SAS, and existing Google Cloud Platform estates) onto Harbour. This includes source inventory, value and risk classification, prioritization of operational (mirrored) sources as the preferred source of truth, historical load strategy, decommissioning of temporary legacy analytical assets, consumer transition, and sequencing aligned with country workspace onboarding.

Embed governance by design into every data product, in partnership with the Data Office, Risk and Compliance: clear data ownership, domain catalogs within the centralized Unity Catalog governance model, metadata and semantic definitions, lineage, data quality monitoring, data classification, and role-based access controls that support both country-specific and approved regional (e.g., AML) consumption through country-segregated workspaces.

Ensure data products comply with enterprise security, privacy, data residency and local regulatory requirements across International Banking markets, including the country-specific regulatory approvals and attestations required to use Harbour. Contribute product inputs to required assessments (e.g., TRA, PIA, technical design documentation) and support the evidencing of controls and on-time closure of audit and regulatory commitments.

Manage the full product lifecycle, discovery, design, launch, adoption, enhancement and retirement - working with Delivery Managers and Agile squads on release planning and incremental value delivery.

Own the product business case for the portfolio in scope: benefits definition, funding requests, cost-to-serve and Azure/Databricks consumption (FinOps) attributed through the IB application APMs, including the legacy license and platform costs avoided through decommissioning, with timely escalation of variances.

Communicate product strategy, roadmap, progress and key decisions to senior leadership and stakeholders through clear, executive-ready materials, managing expectations across competing priorities.

Lead, coach and develop a team of Data Product Managers/Product Owners, including work assignment across products and markets, objective setting, performance feedback, career development and participation in hiring; set product management standards (discovery, roadmapping, OKRs, backlog practices) and promote a culture of customer focus, collaboration 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:

Education:

Bachelor's degree in Computer Science, Engineering, Information Systems, Business Administration, Economics or a related field. A Master's degree (e.g., MBA or MSc in Data/Analytics) is a plus.

Product management certifications are highly desirable (e.g., Certified Scrum Product Owner / Advanced CSPO, SAFe Product Owner/Product Manager, Pragmatic Institute); data and cloud certifications (e.g., DAMA CDMP, Azure Data Fundamentals DP-900, Databricks Fundamentals) are an asset.

Experience:

5+ years of progressive experience in product management, data management or data and analytics roles, including at least 3 years as a Product Manager or Product Owner for data products, data platforms or analytics capabilities.

Proven track record defining, launching and scaling data products with measurable business outcomes and consumer adoption in a global, matrixed organization across multiple countries.

Demonstrated experience directly supervising, coaching and developing product professionals (Product Managers, Product Owners or Business Analysts), including work assignment, performance feedback and hiring.

Experience in banking or financial services, with working knowledge of regulatory and audit expectations (e.g., OSFI, local LATAM regulators, GDPR and data residency/privacy requirements) and how they shape data product design.

Solid understanding of modern lakehouse architecture on Microsoft Azure: Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, Azure Data Factory, change data capture/event streaming (e.g., Azure Event Hubs), data contracts, medallion patterns, producer/consumer design, and consumption through Power BI and SQL. Knowledge should be sufficient to shape solutions, challenge trade-offs and hold credible technical conversations; exposure to AI/ML consumption patterns is an asset.

Experience with product discovery and prioritization practices (user research, value/effort frameworks such as WSJF or RICE, OKRs) and with tools such as Jira, Azure DevOps, Confluence and Power BI for product metrics and reporting.

Experience building business cases, securing funding and managing product cost-to-serve, including cloud cost (FinOps) awareness.

Familiarity with data governance, data quality frameworks, metadata, semantic layers and catalog tools (e.g., Unity Catalog), domain-oriented data ownership (data mesh concepts, BIAN domain models) and control evidence requirements in a regulated, multi-country environment.

Skills:

Strategic product thinking, with the ability to set a compelling vision and translate it into a prioritized, outcome-driven roadmap.

Exceptional communication, storytelling and influencing skills, with the ability to bridge technical and business audiences and present clearly to senior leadership.

Strong customer focus and understanding of data consumers, turning ambiguous business needs into clear, valuable product definitions.

Sound judgment in prioritization and decision-making under competing demands, with strong negotiation and conflict-resolution abilities in high-visibility environments.

Strong analytical skills and a data-driven approach to measuring product value, adoption and quality.

Ability to coach product teams, leaders and stakeholders on product management practices and a product-oriented operating model for data.

Spanish language ability is a strong asset given the International Banking footprint across Latin America and the Caribbean.

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 leads the strategy, lifecycle, and value realization of data products and shared data capabilities for International Banking. They are responsible for defining product vision, managing roadmaps, and leading a team of product managers to deliver domain-aligned data solutions.

Requirements

Candidates must have at least 5 years of experience in product or data management, including 3 years in a leadership capacity. A bachelor's degree in a relevant field is required, along with strong knowledge of Azure cloud platforms and data governance frameworks.

Skills

Product Management
Data Strategy
Data Engineering
Azure Databricks
Cloud Migration
Stakeholder Management
Team Leadership
Data Governance
Agile Methodologies
Financial Services
Product Roadmap
Data Analytics
FinOps
Regulatory Compliance
Data Lakehouse Architecture
Strategic Planning

Visa sponsorship

Not detected in the job text

Keywords

Data Product Manager
Azure Databricks
Delta Lake
Unity Catalog
Azure Data Lake Storage
Azure Data Factory
Data Mesh
BIAN
FinOps
Product Lifecycle
Jira
Azure DevOps
Confluence
Power BI
SQL
Data Governance
Regulatory Compliance
OSFI
GDPR
Data Residency
Change Data Capture
Medallion Architecture
Product Discovery
Roadmapping
OKRs
Data Engineering
Cloud Migration
Banking
Strategy
Leadership

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