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Remote Master Data Management Jobs in Toronto, ON

Ergomed

Project Data Manager

Toronto, ON · Remote

Thorough knowledge of the end-to-end reporting process (data management, statistics, medical ... We look forward to welcoming your application. #LI-Remote

CIBC

Director, Data Platform Governance

Toronto, ON · On-site +1

The Director, Data Platform Governance manages relationships with internal partners, maintaining ... Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ...

CIBC US

Director, Data Platform Governance

Toronto, ON · On-site +1

The Director, Data Platform Governance manages relationships with internal partners, maintaining ... Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ...

Odaia Intelligence Inc.

Data Engineer

Toronto, ON · Remote

ODAIA is a remote first organization, all our positions are WFH with frequent company and team ... WHAT'S ON OFFER Reporting to the Manager, Data Engineering and as a member of the Data Management ...

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Remote Master Data Management information

What is a remote master data management professional?

A Remote Master Data Management (MDM) professional is responsible for overseeing and maintaining an organization's critical data assets from a remote location. They ensure the accuracy, consistency, and security of master data—such as customer, product, and supplier information—across different systems and departments. By implementing data governance policies and collaborating with various teams, they help organizations make better business decisions and comply with data regulations. Remote MDM professionals use specialized tools and processes to manage data integrity while working outside of a traditional office environment.

What are the key skills and qualifications needed to thrive as a remote master data management professional, and why are they important?

To thrive as a Remote Master Data Management professional, you need expertise in data governance, data quality, and master data modeling, often supported by a degree in information systems or a related field. Familiarity with MDM platforms like Informatica, SAP MDG, or Oracle, as well as knowledge of data integration tools and data security standards, is typically required. Strong analytical thinking, communication skills, and attention to detail are essential soft skills for collaborating across departments and ensuring data consistency. These competencies are crucial for maintaining accurate, reliable data assets that drive business decisions and operational efficiency.

What are some common challenges faced by remote master data management professionals, and how can they be addressed?

Remote Master Data Management (MDM) professionals often encounter challenges such as ensuring data consistency across multiple systems, coordinating with geographically dispersed teams, and maintaining data security. Effective communication and collaboration tools are essential for aligning with stakeholders and IT teams. Establishing clear data governance policies and regular virtual meetings can help address inconsistencies and streamline workflows. Additionally, using secure remote access solutions and adhering to best practices in data privacy ensures data integrity and compliance.

What is the difference between Remote Master Data Management vs Remote Data Analyst?

AspectRemote Master Data ManagementRemote Data Analyst
CredentialsTypically requires data management certifications, SQL, and database knowledgeRequires data analysis, Excel, SQL, and visualization skills
Work EnvironmentFocuses on data governance, quality, and integration within organizationsAnalyzes data to generate insights, reports, and support decision-making
Industry UsageCommon in IT, finance, healthcare, and large enterprisesWidely used across marketing, finance, healthcare, and consulting

Remote Master Data Management professionals focus on maintaining accurate, consistent, and reliable data across systems, while Remote Data Analysts interpret data to inform business decisions. Both roles require strong technical skills but serve different functions within organizations.

What are popular job titles related to Remote Master Data Management jobs in Toronto, ON?

For Remote Master Data Management jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Master Data Management jobs in Toronto, ON look for?

The top searched job categories for Remote Master Data Management jobs in Toronto, ON are:

Remote Master Data Management jobs near you
Infographic showing various Remote Master Data Management job openings in Toronto, ON as of August 2026, with employment types broken down into 75% Full Time, 10% Part Time, 10% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.

Senior Technical Product Manager ( Remote Canada)

Toronto, ON • Remote

Smile Digital Health
See more jobs at Smile Digital Healthexternal

Full-time

Medical, Life, Retirement, PTO

Posted 12 days ago

Job description

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! 
 
Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.
 
At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing  #BetterGlobalHealth to patients everyday!

Apply today and find plenty of reasons to SMILE!

We are looking for a Senior Technical Product Manager to drive the next generation of our high-throughput, enterprise data ingestion and data management architecture. In this role, you will lead the strategic transformation of our Data Ingress Engine using technologies like Apache Spark, Databricks, and Medallion Lakehouse Architecture

You will also own the product roadmap for our core Master Data Management (MDM) and Data Remediation Engines, defining how millions of disparate clinical records are cleansed, matched into a single "Golden Patient Record," and safely reprocessed when errors occur.

If you thrive at the intersection of distributed systems, high-volume streaming/batch data pipelines, and complex data models, this role is for you.

Responsibilities:

1. Data Ingress & Decoupled Architecture

  • Lead the product vision and roadmap to decouple core data ingestion modules from operational API boundaries, turning them into highly scalable, standalone micro-services.
  • Productize event-driven and streaming ingestion pipelines (e.g., Kafka/Spark Structured Streaming) capable of processing billions of high-velocity records.
  • Establish clear API contracts, event interfaces, and integration specs for external sources feeding raw payloads (HL7 v2, C-CDA, FHIR JSON, Claims) into our platform.

2. Big Data & Medallion Analytics Strategy

  • Define requirements for transitioning mass analytics pipelines onto a Databricks / Medallion Architecture using Apache Spark.
  • Drive the design of optimized Silver and Gold layer datasets, ensuring deeply nested JSON formats (e.g., FHIR) are efficiently flattened and structured into high-performance columnar models (Delta Lake/Parquet) for OLAP analytics.
  • Partner with engineering architects to balance real-time, low-latency micro-batches against cost-optimized, high-throughput daily batch workloads.

3. Master Data Management (MDM) & Identity Resolution

  • Own the product requirements for our FHIR-native MDM Engine, defining rules for deterministic and probabilistic patient matching at scale.
  • Productize Survivorship Logic to establish rules for creating and maintaining the "Golden Record" across fragmented data feeds.
  • Design crosswalk management capabilities to track source-to-target entity linkages across millions of patient lives.

4. Error Remediation & Exception Management

  • Build out the end-to-end exception lifecycle for data validation failures-from isolation in Dead-Letter Queues (DLQs) to structured error reporting.
  • Define requirements for Data Steward interfaces and APIs, allowing users to review validation exceptions, perform manual record merges/unmerges, and correct bad data payloads.
  • Architect Idempotent Replay Mechanisms to re-ingest corrected payloads through Spark processing pipelines without generating duplicate data or corrupting state.
Requirements:
Must have Experience 
  • 5+ years of Technical Product Management experience leading complex backend data platforms, distributed data engineering products, or big-data ingestion systems.
  • Hands-on Distributed Computing Knowledge: Proven track record productizing solutions powered by Apache Spark (batch or streaming) and distributed data processing frameworks.
  • Databricks / Lakehouse Expertise: Deep familiarity with Medallion Architecture (Bronze/Silver/Gold) and Delta Lake/Parquet performance patterns.
  • OLAP / Columnar Strategy Mindset: Demonstrated experience optimizing complex, highly nested arrays and hierarchical data structures for analytical query engines.
  • Identity & Governance: Direct experience productizing Master Data Management (MDM), entity resolution, or identity matching tools.
  • Fault-Tolerant Systems: Experience with event-driven architectures, Dead-Letter Queues (DLQs), and data replay/remediation workflows.
  • Technical Proficiency: Ability to comfortably write and execute SQL and Python to analyze raw datasets, validate engine output, and define logic rules
Nice-to-Have Experience
  • Experience with healthcare data standards, including HL7 FHIR, C-CDA, or HL7 v2.
  • Exposure to healthcare terminologies (SNOMED CT, LOINC, RxNorm, ICD-10).
  • Familiarity with SQL-on-FHIR analytics standards.
$120,000 - $145,000 a year
Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support - not replace - fair and equitable hiring practices. 
This position is a replacement role, created to support Smile's continued growth and commitment to operational excellence.

Some of the benefits we offer:
* Remote Work Environment
* Flexible Time Away From Work Policy including PTO, Personal and Sick Days
* Competitive Salary and Health/Medical Benefits
* RRSP/TFSA/401K Employee Contribution
* Life and Disability
* Employee Assistance Program
* FHIR Study Program and Skillsoft Learning
* Super HAPI Fun Club

Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work.  We are dedicated to fostering a workplace that values diversity, equity, and inclusion.
 
We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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