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Added 46 mins ago
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
$152,000 to $189,000 CAD / year
Full-time
We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique…
Added 2 hours ago
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Added 3 hours ago
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Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 3 hours ago
Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener
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Kitchener, ON
We are seeking a Robotics Engineer - Edge Runtime to help build and optimize the edge software layer for the Physical AI Runtime. This engineer will work on edge development, robotics…
Added 3 hours ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
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We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design…
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Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
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Kitchener, ON
We are seeking a Robotics Data Engineer to build the teleoperation and data collection layer for the Physical AI Runtime. This engineer will design pipelines for demonstration data,…
Added 3 hours ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 8 hours ago
AI Engineer
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Kitchener, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 10 hours ago
ASIC Design Engineer, Low Power Audio AI Subsystems
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We are looking for an ASIC Design Engineer that will work with industry leading edge HW Design technology and processes and provide expertise for next generation initiatives. As a leader in…
Added 10 hours ago
Embedded Software Engineer (C/C++), Machine Learning
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Added 10 hours ago
Manager, Software Engineering
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Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 11 hours ago
AI Model, Framework, and GPU Software Engineer – Agentic AI
Advanced Micro Devices, Inc
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Added 11 hours ago
Silicon Design Engineer (1 year contract starting asap)
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Added 13 hours ago
Senior Security Engineer, Detection and Response
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Remote, Canada
Full-time · Remote
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Added 14 hours ago
Silicon Design Engineer (1 year contract starting asap)
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$91,200 to $136,800 USD / year
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AI Model, Framework, and GPU Software Engineer – Agentic AI
AMD
Markham, ON
$132,000 to $198,000 USD / year
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Added 15 hours ago
Staff Data Engineer
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Toronto, ON
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Added 16 hours ago
Staff Data Engineer
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Toronto, ON
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Added 16 hours ago
Computer Vision Engineer, 3D
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$200,000 to $230,000 CAD / year
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We're looking for a strong, coding-heavy computer vision engineer to own the classical side of our stack. Our models produce raw per-frame predictions; you own the traditional computer…
Added 17 hours ago
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Contract
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Added 17 hours ago
Senior Data Engineer
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Added 17 hours ago
Senior Data Engineer
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Added 17 hours ago
Online Calibration & SLAM Engineer
Mecka
Richmond Hill, ON
$200,000 to $230,000 CAD / year
Full-time
We're looking for a hands-on Senior SLAM & Calibration Engineer to own how Mecka's devices stay calibrated after they leave the factory. Cameras and IMUs drift over months and mounts warp,…
Added 18 hours ago
Senior AI Engineer
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As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…

Scotiabank

Senior Manager, Data Product Manager

Toronto, ON, M5H 1B6, Canada

Posting language: English
Posted: Sep 29, 2026

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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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