Senior Specialist Product Owner at Telesat

Ottawa, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Satellite Communications, TelecommunicationsIndustries

Requirements

Bachelor’s degree (or higher) in a relevant field
Deep expertise in network data modeling, especially IETF YANG
Expertise in machine learning
Strong business analysis skills
Experience translating complex technical challenges into actionable product strategies
Experience designing scalable data models and machine learning pipelines
Experience applying ML techniques in cloud environments
Knowledge of statistical and analytical methods (e.g., regression, clustering, outlier detection)
Experience with data modeling tools for high-volume telemetry data
Proficiency in building real-time and batch data pipelines using Apache Kafka, Spark, and Google Dataflow
Experience deploying ML pipelines in cloud and hybrid environments
Ability to develop and maintain YANG models for telemetry and configuration data from satellite and terrestrial networks
Experience designing data models for anomaly detection, predictive analytics, and network optimization
Knowledge of data governance, quality, compliance, lineage, and metadata integration

Responsibilities

Own the end-to-end product lifecycle for data-driven features and models—from ideation through development, deployment, and iteration
Design and oversee the development of scalable data models, with a focus on network data standards such as IETF YANG
Translate business needs into clear data product requirements, ensuring alignment between stakeholders, technical teams, and strategic goals
Define and prioritize product roadmaps, user stories, and backlogs in collaboration with engineering, data science, and business teams
Develop and support machine learning pipelines for tasks like anomaly detection, predictive maintenance, and performance optimization
Apply statistical and analytical methods to extract insights and support business decisions
Collaborate with cross-functional teams, including data engineers, ML researchers, domain experts, and executives, to deliver impactful solutions
Validate and measure the success of data initiatives using relevant KPIs, A/B testing, and performance tracking frameworks
Ensure data governance, quality, and compliance throughout the modeling and product development process
Act as a subject matter expert on data modeling and ML applications within cloud off-the-shelf solutions and complex network infrastructures
Develop and maintain YANG models for telemetry and configuration data from satellite and terrestrial networks
Design data models to support anomaly detection, predictive analytics, and network optimization
Use data modeling tools to extract insights from high-volume telemetry data
Build real-time and batch data pipelines using Apache Kafka, Spark, and Google Dataflow
Deploy ML pipelines in cloud and hybrid environments
Collaborate with business stakeholders to gather requirements, define KPIs, and align data initiatives with strategic goals
Translate complex technical findings into clear business insights and visualizations
Support data governance, lineage, and metadata integration across the data lifecycle

Skills

IETF YANG

Network Data Modeling

Machine Learning

Data Science

ML Pipelines

Cloud ML

Business Analysis

Product Ownership

Telesat

Global satellite operator providing connectivity solutions

About Telesat

Telesat operates in the satellite communications industry, providing connectivity solutions to various sectors including government, telecommunications, and enterprises. The company utilizes both geostationary (GEO) and low Earth orbit (LEO) satellites to ensure reliable global communications. Telesat's products include satellite capacity and consulting services, which are offered through long-term contracts and service agreements. A key feature of Telesat is its Lightspeed network, which uses advanced LEO satellites to deliver high-speed, low-latency connectivity. This focus on diverse applications, such as inflight connectivity and maritime services, sets Telesat apart from its competitors, as it addresses complex communication challenges across multiple industries.

Ottawa, CanadaHeadquarters

1969Year Founded

$30.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Consulting, AerospaceIndustries

501-1,000Employees

Benefits

Remote Work Options

Hybrid Work Options

Risks

Competition from SpaceX's Starlink could impact Telesat's market share.

Delays in Lightspeed's launch could lead to financial penalties or contract losses.

Reliance on government funding exposes Telesat to political and economic risks.

Differentiation

Telesat leverages both GEO and LEO satellites for comprehensive global communications.

The Lightspeed network offers high-speed, low-latency connectivity solutions.

Telesat serves diverse sectors, including maritime, aviation, and oil and gas.

Upsides

Growing demand for satellite internet boosts Telesat's Lightspeed project prospects.

Hybrid satellite-terrestrial networks offer Telesat integration opportunities for enhanced connectivity.

5G integration with satellite networks creates new business opportunities for Telesat.

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