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Boeing

Technical Product Manager – Aviation Maintenance Data

Vancouver, BC, Canada
Richmond, BC, Canada
CAN - Richmond, Canada, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Technical Product Manager – Aviation Maintenance Data

Company:

Boeing Vancouver

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Vancouver is seeking a Technical Product Manager reporting to the Senior Manager of the Schedule Reliability Portfolio working out of the Richmond, British Columbia office.

As a Technical Product Manager, you’ll play a pivotal role in developing a data-driven analytics platform that is a foundation to a suite of advanced products in the areas of airplane maintenance. You’ll work in a multidisciplinary team of domain SMEs, product managers, data scientists and developers. You have a strong desire to build robust and efficient systems. You’re energized by working with multiple stakeholders using their inputs as a basis for the platform roadmap.

You have a keen interest in data analytics, and building products to unlock the value in airplane data. You’re an outstanding communicator who will be the voice of the Technical Product Team both internally and externally, and an excellent team player and positive influencer who works hard to build rapport with customers, teammates and stakeholders.

The Technical Product Manager will drive platform strategy and be responsible for building out core capabilities through analysis and understanding of the products we develop, new technologies and customer business issues.. You’ll lead the Core platform roadmap, prioritizing multiple team’s requirements and dependencies collaborating with product development to build out the core common features across products, monitoring, CI/CD pipeline, Internal Tools and the data processing pipeline. The ideal candidate will apply principles of product management to infrastructure and platforms, with the end customers being product managers and the software development team, brining rigour, velocity and transparency to every layer of the stack.

Boeing Vancouver houses a small but mighty product team, bringing new products to market that enable customers to perform advanced analytics on full-flight airplane sensor data. We’re combining data science expertise and a sharp focus on business impact, with empathy for our customers’ day-to-day struggles, to define a new way of working with airplane data. Together, we deliver the power of understanding to change the world above and on the ground.

The platform is built on an Azure-hosted Databricks Lakehouse, unifying federated domain data under a governed Unity Catalog. The Digital Services team's products are first-class consumers of this platform. The TPM will maintain a clear line of sight between the product portfolio and the shared Data Platform roadmap, ensuring platform capabilities are sequenced to unlock the highest-value product outcomes.

Position Responsibilities:

Develop and maintain Core Team roadmap; develop and document platform features as input to the development process.
Manage internal platform stakeholders and achieve the required consensus and approvals to drive platform development forward.
Communicate with product teams to understand needs and pain points, and gather data pipeline and core capabilities feedback.
Lead Proof-of-Concept studies to evaluate next generation product capabilities and own a PoC evaluation framework with clear graduation criteria for promoting validated experiments into product grade platform features.
Own and maintain a platform prioritization governance model; define the forum membership, intake criteria, and dependency-tracking process used to sequence work across multiple consuming product teams.
Define and execute a CI/CD and platform observability strategy including pipeline health monitoring, deployment automation, and internal tooling so that platform reliability is measurable and continuously improving.
Establish a PoC evaluation framework with clear graduation criteria for promoting experimental capabilities (e.g. from the Hackathon/Sandbox domain) into production-grade platform features.
Define the team and customer onboarding pathway for the Data Platform including self-service catalogue access, tiered support tiers, and training materials so consuming teams reach first value quickly.
Work directly with the software development team to define and implement new capabilities.
Own the requirements process end-to-end PRDs, acceptance criteria, backlog structure, and SDLC stage gates leveraging AI-assisted tooling to accelerate quality and consistency across platform and product teams.
Support the sales and marketing teams in communicating and demonstrating capabilities to customers as part of sales engagements and at conferences.
Champion a culture of quality, learning, trust, and collaboration.

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at Richmond location. This is at the hiring team’s discretion and could potentially change in the future.

Employer will not sponsor applicants for employment visa status

Basic Qualifications (Required Skills/Experience):

7+ years of experience in software product management or product ownership.
Experience collaborating across teams and developing platforms or frameworks.
Experience owning a platform or infrastructure roadmap in a multi-team environment, including managing dependencies and establishing governance for stakeholder prioritization.
Familiarity with CI/CD tools and DevOps practices, with the ability to define requirements and success criteria for platform reliability and deployment pipelines.
Experience defining or operating a data catalog or data-product discovery capability, such as Unity Catalog, DataHub, Alation, or an equivalent platform.
Experience with Databricks.
Experience with Microsoft Azure cloud services.
Legally authorized to work in Canada.
Must meet applicable requirements for safeguarding controlled goods.
Must be eligible to access U.S. export-controlled data.

Preferred Qualifications (Desired Skills/Experience):

8+ years of experience in software product management or product ownership.
Knowledge of the aviation or aerospace industry.
Educational or professional background in a STEM field.
Experience applying data science to real-world problems.
Experience working in an Agile project-management framework, such as SAFe, Scrum, or Kanban.
Experience with Python.
Understanding of aviation maintenance data flows, including MRO work orders, Aircraft Maintenance Manual procedures, aircraft health monitoring, and engineering configuration data from systems such as Trax, AMOS, SAP, or MXI.
Experience with Databricks Unity Catalog governance, Delta Sharing, or federated data mesh architectures.
Postsecondary education in a related field.
Experience taking a data platform to market externally, including developing an API catalog or developer portal, delivering a consumption-based SaaS offering, or designing customer onboarding and support models.
Experience using AI-assisted product workflows - such as drafting PRDs, synthesizing requirements, refining backlogs, and summarizing meetings - to improve quality and efficiency while retaining human judgment and domain expertise.

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Additional Information:

This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.

Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Expert level (IC3): CAD 82,000.00 – CAD 147,000.00

Summary pay range for Principal level (IC4): CAD 96,000.00 – CAD 170,000.00

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

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More about this job

Responsibilities

The Technical Product Manager will lead the core platform roadmap and drive strategy for aviation maintenance data analytics. They are responsible for managing stakeholder requirements, defining platform features, and ensuring the reliability and scalability of the data processing pipeline.

Requirements

Candidates must have at least 7 years of experience in software product management and expertise in Azure and Databricks. A strong background in platform infrastructure, CI/CD practices, and data governance is required, along with legal authorization to work in Canada.

Skills

Software product management
Data analytics
Azure
Databricks
CI/CD
DevOps
Data catalog
Unity Catalog
Product roadmap
Stakeholder management
Data pipelines
Agile
Python
Aviation maintenance
Platform strategy

Visa sponsorship

Not detected in the job text

Keywords

Technical Product Manager
Aviation Maintenance
Data Analytics
Azure
Databricks
Unity Catalog
CI/CD
DevOps
Platform Roadmap
Data Pipeline
Agile
Scrum
Kanban
Python
Software Development
Product Lifecycle
Stakeholder Management
Data Governance
Cloud Services
Aerospace
MRO
Aircraft Health Monitoring
SaaS
API Catalog
AI-assisted tooling
Product Requirements Document
Backlog Management
Infrastructure
Data Mesh
System Architecture

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